Sun, 27 Jul 2008 06:10:09 BST CiteULike: Tag emotions http://www.citeulike.org/tag/emotions CiteULike.org en-gb Copyright © 2004-2008 citeulike.org http://www.citeulike.org/user/wigelius/article/1506582 <i>(2007), pp. 387-396.</i> Investigating attractiveness in web user interfaces Jan Hartmann Alistair Sutcliffe Antonella De Angeli doi:10.1145/1240624.1240687 (2007), pp. 387-396. 2007-07-27T08:48:10-00:00 2007 387 396 ACM Press emotions ika http://www.citeulike.org/user/wigelius/article/1306327 <i>(1982), pp. 63-68.</i> Heuristics for designing enjoyable user interfaces: Lessons from computer games Thomas Malone doi:10.1145/800049.801756 (1982), pp. 63-68. 2007-05-18T20:15:31-00:00 1982 63 68 ACM Press emotions ika http://www.citeulike.org/user/wigelius/article/1526768 <i>Personal and Ubiquitous Computing, Vol. 3, No. 3. (1999), pp. 105-116.</i><br /><br />Abstract  This paper seeks to extend the application of techniques from affective psychology to show how cognitive models can be used to represent and reason about interaction with computer games. It is argued that this modelling activity provides insights into the motivational appeal that often distinguishes computer games from other forms of human computer interaction. The long-term aim behind this research is to use our improved understanding of interaction with computer games to inform the subsequent development of more general classes of interactive systems. Barnard's Interacting Cognitive Subsystems (ICS) is used throughout this paper. This decision is justified by the fact that ICS has already been applied to analyse the negative emotions surrounding clinical depression. This previous work provides a useful starting point for our investigation of the more positive emotions evoked during interaction with computer games. A further justification is that ICS has also been successfully used to represent and reason about the design of human computer interfaces. Taking fun seriously: Using cognitive models to reason about interaction with computer games Chris Johnson doi:10.1007/BF01305335 Personal and Ubiquitous Computing, Vol. 3, No. 3. (1999), pp. 105-116. 2007-08-01T09:21:38-00:00 1999 Personal and Ubiquitous Computing 3 3 105 116 emotions fun ika ui http://www.citeulike.org/user/wigelius/article/210445 <i>User Modeling and User-Adapted Interaction, Vol. 11, No. 4. (November 2001), pp. 279-295.</i> How Convincing is Mr. Data's Smile: Affective Expressions of Machines Christoph Bartneck doi:10.1023/A:1011811315582 User Modeling and User-Adapted Interaction, Vol. 11, No. 4. (November 2001), pp. 279-295. 2005-05-25T15:45:24-00:00 2001 User Modeling and User-Adapted Interaction 11 4 279 295 emotions ika ui http://www.citeulike.org/user/wigelius/article/1526754 <i>Personal and Ubiquitous Computing, Vol. 3, No. 3. (1999), pp. 123-131.</i><br /><br />Abstract  This paper argues the need for, and the possible benefits of, taking a more subjective, emotional view of users and interactive systems. A brief résumé of the Transactional Analysis model from behavioural psychology is given. Two examples representing computer mediated interaction and direct human computer interaction are considered. An investigation is described in which the Transactional Analysis model is used to analyse interaction over an email discussion list, and between two subjects and a computer application. This analysis illustrates how the model can be applied to the study of emotion within interactive systems, and used to inform the design process. The closing discussion also comments on the nature of current interfaces and their creators. Emotion in interactive systems: Applying transactional analysis Adrian Williamson Robert Ward doi:10.1007/BF01305337 Personal and Ubiquitous Computing, Vol. 3, No. 3. (1999), pp. 123-131. 2007-08-01T09:11:03-00:00 1999 Personal and Ubiquitous Computing 3 3 123 131 emotions ika ui http://www.citeulike.org/user/wigelius/article/1526749 <i>From Brows to Trust (2005), pp. 127-160.</i><br /><br />One obvious challenge for affective interfaces is to find ways of checking whether the expressed emotions are understood by users, and whether the system can interpret user emotions correctly. Even more challenging is whether the overall usage scenarios are achieving their purpose of being e.g. engaging, fun, believable, or creating a relationship with the user, and how much of this can be attributed to the emotion modeling and expression. We propose a two-tiered design and evaluation model. We exemplify this model through studies of three di erent a ective interfaces: the Agneta & Frida system, the Influencing Machine, and SenToy & FantasyA. User-Centred Design and Evaluation of Affective Interfaces Kristina Höoöok doi:10.1007/1-4020-2730-3_5 From Brows to Trust (2005), pp. 127-160. 2007-08-01T09:08:26-00:00 2005 From Brows to Trust 127 160 emotions ika ui http://www.citeulike.org/user/wigelius/article/1506607 <i>(2006), pp. 1037-1042.</i> Affective diary: designing for bodily expressiveness and self-reflection Madelene Lindström Anna St\aahl Kristina Höök Petra Sundström Jarmo Laaksolathi Marco Combetto Alex Taylor Roberto Bresin doi:10.1145/1125451.1125649 (2006), pp. 1037-1042. 2007-07-27T09:04:41-00:00 2006 1037 1042 ACM Press emotions ika http://www.citeulike.org/user/wigelius/article/168970 <i>Interacting with Computers, Vol. 13, No. 2. (December 2000), pp. 127-145.</i><br /><br />An experiment was conducted to test the relationships between users' perceptions of a computerized system's beauty and usability. The experiment used a computerized application as a surrogate for an Automated Teller Machine (ATM). Perceptions were elicited before and after the participants used the system. Pre-experimental measures indicate strong correlations between system's perceived aesthetics and perceived usability. Post-experimental measures indicated that the strong correlation remained intact. A multivariate analysis of covariance revealed that the degree of system's aesthetics affected the post-use perceptions of both aesthetics and usability, whereas the degree of actual usability had no such effect. The results resemble those found by social psychologists regarding the effect of physical attractiveness on the valuation of other personality attributes. The findings stress the importance of studying the aesthetic aspect of human-computer interaction (HCI) design and its relationships to other design dimensions. What is beautiful is usable N Tractinsky A Katz D Ikar doi:10.1016/S0953-5438(00)00031-X Interacting with Computers, Vol. 13, No. 2. (December 2000), pp. 127-145. 2005-04-24T13:15:30-00:00 2000 Interacting with Computers 13 2 127 145 emotions ika http://www.citeulike.org/user/theduckman/article/2861599 <i>Robot and Human Interactive Communication, 2006. ROMAN 2006. The 15th IEEE International Symposium on (2006), pp. 277-284.</i><br /><br />In this article, we discuss the strong relationship between affect and cognition and the importance of emotions in multimodal human computer interaction (HCI) and user-modeling. We introduce the overall paradigm for our multi-modal system that aims at recognizing its users' emotions and at responding to them accordingly depending upon the current context or application. We then describe the design of the emotion elicitation experiment we conducted by collecting, via wearable computers, physiological signals from the autonomic nervous system (galvanic skin response, heart rate, temperature) and mapping them to certain emotions (sadness, anger, fear, surprise, frustration, and amusement). We show the results of three different supervised learning algorithms that categorize these collected signals in terms of emotions, and generalize their learning to recognize emotions from new collections of signals. We finally discuss possible broader impact and possible applications of emotion recognition for multimodal intelligent systems Categorizing Autonomic Nervous System (ANS) Emotional Signals using Bio-Sensors for HRI within the MAUI Paradigm CL Lisetti F Nasoz doi:10.1109/ROMAN.2006.314430 Robot and Human Interactive Communication, 2006. ROMAN 2006. The 15th IEEE International Symposium on (2006), pp. 277-284. 2008-06-04T15:53:08-00:00 2006 Robot and Human Interactive Communication, 2006. ROMAN 2006. The 15th IEEE International Symposium on 277 284 emotion_recognition emotions ppr http://www.citeulike.org/user/theduckman/article/2861028 <i>Engineering in Medicine and Biology Society, 2005. IEEE-EMBS 2005. 27th Annual International Conference of the (2005), pp. 5523-5525.</i><br /><br />The purpose of this paper is to estimate emotions using neural network and the changes in activities of autonomic nervous system (ANS). Since ANS cannot be controlled artificially, we presumed that the changes in emotions would be reflected to the changes in ANS. In order to observe those changes, we provided the subjects with some video clips which can induce a variety of emotions and measured the changes in ANS, especially in heart rate variability (HRV) and in galvanic skin response (GSR). With those analyzed results from the experiments, we established an algorithm based on neural network, finally we could reach the estimating rate of 80.2% Using Neural Network to Recognize Human Emotions from Heart Rate Variability and Skin Resistance CK Lee SK Yoo Yoonj Park Namhyun Kim Keesam Jeong Byungchae Lee doi:10.1109/IEMBS.2005.1615734 Engineering in Medicine and Biology Society, 2005. IEEE-EMBS 2005. 27th Annual International Conference of the (2005), pp. 5523-5525. 2008-06-04T13:05:17-00:00 2005 Engineering in Medicine and Biology Society, 2005. IEEE-EMBS 2005. 27th Annual International Conference of the 5523 5525 ecg emotion_recognition emotions gsr ppr http://www.citeulike.org/user/theduckman/article/2861013 <i>[Engineering in Medicine and Biology, 2002. 24th Annual Conference and the Annual Fall Meeting of the Biomedical Engineering Society] EMBS/BMES Conference, 2002. Proceedings of the Second Joint, Vol. 1 (2002), pp. 50-51 vol.1.</i><br /><br />An emotion recognition system based on processing of multiple physiological signals is presented. Our algorithm is developed and verified based on multiple subjects by presenting multimodal stimuli that were elaborated to effectively induce emotions, and thus not dependent on single specific user. The system utilizes physiological signals that can be acquired without discomfort from body surface. Support vector machine was introduced as pattern classifier to overcome the difficulty of large overlap among clusters and large variance within cluster. Correct classification ratio was 77.8 and 61.2%, for emotion recognition problem of three and four categories, respectively. Another advantage of our system is that it requires shorter signal monitoring time than previous ones, and thus better suited for practical use. Development of person-independent emotion recognition system based on multiple physiological signals Kyung Kim Seok Bang Sang Kim doi:10.1109/IEMBS.2002.1134382 [Engineering in Medicine and Biology, 2002. 24th Annual Conference and the Annual Fall Meeting of the Biomedical Engineering Society] EMBS/BMES Conference, 2002. Proceedings of the Second Joint, Vol. 1 (2002), pp. 50-51 vol.1. 2008-06-04T12:52:26-00:00 2002 [Engineering in Medicine and Biology, 2002. 24th Annual Conference and the Annual Fall Meeting of the Biomedical Engineering Society] EMBS/BMES Conference, 2002. Proceedings of the Second Joint 1 50 51 vol.1 emotion_recognition emotions ppr http://www.citeulike.org/user/theduckman/article/2861614 <i>Image Processing, 2006 IEEE International Conference on (2006), pp. 661-664.</i><br /><br />We propose a novel approach to the detection and classification of human facial expressions using a morphable 3D model. We acquire the various expressions of an individual using a face scanner that produces textured 3D meshes using stereoscopic reconstruction. A morphable expression model (MEM), that incorporates emotion-dependent face variations in terms of morphing parameters, is then computed by establishing correspondence among the emotive faces. These morphing parameters are used for emotion recognition and classification. We demonstrate that the different facial expressions correspond to distinct clusters in the expression space Human Facial Expression Recognition using a 3D Morphable Model S Ramanathan A Kassim YV Venkatesh Wu Wah doi:10.1109/ICIP.2006.312417 Image Processing, 2006 IEEE International Conference on (2006), pp. 661-664. 2008-06-04T15:54:09-00:00 2006 Image Processing, 2006 IEEE International Conference on 661 664 emotion_recognition emotions facial http://www.citeulike.org/user/theduckman/article/2876930 <i>(2007), pp. 933-942.</i> Exploring affective design for physical controls Colin Swindells Karon Maclean Kellogg Booth Michael Meitner doi:10.1145/1240624.1240765 (2007), pp. 933-942. 2008-06-09T13:23:37-00:00 2007 933 942 ACM affective emotion_recognition emotions hci touch_screen http://www.citeulike.org/user/theduckman/article/2861600 <i>Cognitive Informatics, 2006. ICCI 2006. 5th IEEE International Conference on, Vol. 1 (2006), pp. 73-78.</i><br /><br />An emotion recognition system based on neuro-HMM was proposed to analyze the emotion contained in images. This system took an initial step in this direction by describing a set of proposed difficulty metrics based on cognitive principles. Both the emotion semanteme extraction and emotion model construction were considered in this system. They were respectively carried out by neural networks and HMM. According to the strong relationship between image notable lines and human dynamism sensation, the system used fuzzy neural network to establish the mapping and obtained the image emotion semanteme sequence. Then the duple hidden Markov model (HMM) was employed to simulate human emotion transition and finally confirmed different emotion models. The system also considered some outer influences to make the system rules be refined in realistic conditions. The experiment shows at least one emotion from an image can be recognized. The results illustrate the capability of the developing image recognition system Emotion Recognition System in Images Based On Fuzzy Neural Network and HMM Yimo Guo Huanping Gao doi:10.1109/COGINF.2006.365679 Cognitive Informatics, 2006. ICCI 2006. 5th IEEE International Conference on, Vol. 1 (2006), pp. 73-78. 2008-06-04T15:53:08-00:00 2006 Cognitive Informatics, 2006. ICCI 2006. 5th IEEE International Conference on 1 73 78 emotion_recognition emotions fuzzy_logic nn http://www.citeulike.org/user/theduckman/article/2759241 <i>Acoustics, Speech and Signal Processing, 2007. ICASSP 2007. IEEE International Conference on, Vol. 4 (2007), pp. IV-1085-IV-1088.</i><br /><br />We present novel methods for estimating spontaneously expressed emotions in speech. Three continuous-valued emotion primitives are used to describe emotions, namely valence, activation, and dominance. For the estimation of these primitives, support vector machines (SVMs) are used in their application for regression (support vector regression, SVR). Feature selection and parameter optimization are studied. The data was recorded from 47 speakers in a German talk-show on TV. The results were compared to a rule-based fuzzy logic classifier and a fuzzy k-nearest neighbor classifier. SVR was found to give the best results and to be suited well for emotion estimation yielding small classification errors and high correlation between estimates and reference. Support Vector Regression for Automatic Recognition of Spontaneous Emotions in Speech M Grimm K Kroschel S Narayanan doi:10.1109/ICASSP.2007.367262 Acoustics, Speech and Signal Processing, 2007. ICASSP 2007. IEEE International Conference on, Vol. 4 (2007), pp. IV-1085-IV-1088. 2008-05-05T21:31:46-00:00 2007 Acoustics, Speech and Signal Processing, 2007. ICASSP 2007. IEEE International Conference on 4 IV-1085 IV-1088 emotions sam speech http://www.citeulike.org/user/theduckman/article/2860968 <i>Information Technology: New Generations, 2008. ITNG 2008. Fifth International Conference on (2008), pp. 32-37.</i><br /><br />In this paper, we investigate the possibility of improving the accuracy of visual-facial emotion recognition through use of additional (complementary) keyboard-stroke information. The investigation is based on two empirical studies that we have conducted involving human subjects and human observers. The studies were concerned with the recognition of emotions from a visual-facial modality and keyboard-stroke information, respectively. They were inspired by the relative shortage of such previous research in empirical work concerning the strengths and weaknesses of each modality so that the extent can be determined to which the keyboard-stroke information complements and improves the emotion recognition accuracy of the visual-facial modality. Specifically, our research focused on the recognition of six basic emotion states, namely happiness, sadness, surprise, anger and disgust as well as the emotionless state which we refer to as neutral. We have found that the visual-facial modality may allow the recognition of certain states, such as neutral and surprise, with sufficient accuracy. However, its accuracy in recognizing anger and happiness can be improved significantly if assisted by keyboard-stroke information. Towards Improving Visual-Facial Emotion Recognition through Use of Complementary Keyboard-Stroke Pattern Information GA Tsihrintzis M Virvou E Alepis IO Stathopoulou doi:10.1109/ITNG.2008.152 Information Technology: New Generations, 2008. ITNG 2008. Fifth International Conference on (2008), pp. 32-37. 2008-06-04T12:11:49-00:00 2008 Information Technology: New Generations, 2008. ITNG 2008. Fifth International Conference on 32 37 emotion_recognition emotions facial keyboard http://www.citeulike.org/user/theduckman/article/2861247 <i>Multimedia and Expo, 2004. ICME '04. 2004 IEEE International Conference on, Vol. 2 (2004), pp. 1215-1218 Vol.2.</i><br /><br />In this paper we introduce a novel approach to human emotion recognition, based on manual computer interaction. The presented methods rely on conventional graphical input devices. Firstly, a standard mouse as used on desktop PCs, and, secondly, the interaction with touch-screens or -pads as in public information terminals, palm-top devices or tablet PCs is considered. Additionally, the gain of the integration of touch pressure information is evaluated. Four discrete emotional states are classified: irritation, annoyance, reflectiveness, and neutral affect, for use in initiative tutoring, error clarification, Internet customer personalization, and others. The optimal feature-set is discussed and ranked according to a linear discriminant analysis. A working system, using support vector machines for the classification, is tested in real-life scenarios. A performance of up to 83.2% correct assignment clearly indicates that user emotion recognition is possible without special hardware in any standard graphical user environment, independent of the underlying application Emotion recognition in the manual interaction with graphical user interfaces B Schuller G Rigoll M Lang doi:10.1109/ICME.2004.1394440 Multimedia and Expo, 2004. ICME '04. 2004 IEEE International Conference on, Vol. 2 (2004), pp. 1215-1218 Vol.2. 2008-06-04T14:34:17-00:00 2004 Multimedia and Expo, 2004. ICME '04. 2004 IEEE International Conference on 2 1215 1218 Vol.2 affective emotion_recognition emotions wtf http://www.citeulike.org/user/theduckman/article/2861113 <i>Visualization Symposium, 2008. PacificVIS '08. IEEE Pacific (2008), pp. 103-109.</i><br /><br />Facial emotions and expressive facial motions have become an intrinsic part of many graphics systems and human computer interaction applications. The dynamics and high dimensionality of facial motion data make its exploration and processing challenging. In this paper, we propose a novel visualization system for expressive facial motion data exploration. Based on Principal Component Analysis (PCA) dimensionality reduction on anatomical facial sub regions, high dimensional facial motion data is mapped to 3D spaces. We further rendered it as colored 3D trajectories and color represents different emotion. We design an intuitive interface to allow users effectively explore and analyze high dimensional facial motion spaces. The applications of our visualization system on novel facial motion synthesis and emotion recognition are demonstrated. A Novel Visualization System for Expressive Facial Motion Data Exploration T Sucontphunt Xiaoru Yuan Qing Li Zhigang Deng doi:10.1109/PACIFICVIS.2008.4475465 Visualization Symposium, 2008. PacificVIS '08. IEEE Pacific (2008), pp. 103-109. 2008-06-04T13:56:58-00:00 2008 Visualization Symposium, 2008. PacificVIS '08. IEEE Pacific 103 109 emotion_recognition emotions facial http://www.citeulike.org/user/theduckman/article/2861413 <i>Robot and Human interactive Communication, 2007. RO-MAN 2007. The 16th IEEE International Symposium on (2007), pp. 1119-1124.</i><br /><br />Studies on robotic emotions were mostly focused on facial expressions. However, in human emotion recognitions, biological signals were effectively applied in use. In this paper, we clarified the utility of biological signals as a way to express robotic emotion. We designed facial expressions and set up biological signals (heartbeat, respiration) to apply to the facial LED interface for expressing emotions. The results from two sets of experiment demonstrate that biological signals are closely connected to an arousal level and intensity of emotion. It also can be a distinctive element for emotion expression which is deficient only in facial expression. Applicatioon of Biological Signal to the Expressions of Robotic Emotions Dongkyu Lee SS Kwak Myungsuk Kim doi:10.1109/ROMAN.2007.4415248 Robot and Human interactive Communication, 2007. RO-MAN 2007. The 16th IEEE International Symposium on (2007), pp. 1119-1124. 2008-06-04T15:07:19-00:00 2007 Robot and Human interactive Communication, 2007. RO-MAN 2007. The 16th IEEE International Symposium on 1119 1124 emotion_recognition emotions ppr http://www.citeulike.org/user/theduckman/article/1182122 <i>(2006), pp. 1136-1139.</i> Emotion Recognition Based on Joint Visual and Audio Cues Nicu Sebe Ira Cohen Theo Gevers Thomas Huang doi:10.1109/ICPR.2006.489 (2006), pp. 1136-1139. 2007-03-23T20:54:35-00:00 2006 1136 1139 IEEE Computer Society emotion_recognition emotions http://www.citeulike.org/user/theduckman/article/2861349 <i>Robot and Human interactive Communication, 2007. RO-MAN 2007. The 16th IEEE International Symposium on (2007), pp. 798-801.</i><br /><br />In a real world, emotion plays a significant role in rational actions in human communication. Given the potential and importance of emotions, in recent years, there has been growing interest in the study of emotions to improve the capabilities of current human-robot interaction. The emotion recognition from text modality is a necessary step to develop affective conversational interfaces. In this paper, we present an effective hybrid approach to improve the performance of emotion recognition from text by combining linguistic, pragmatic, and keyword spotting features. Emotion Recognition for Affective User Interfaces using Natural Language Dialogs Cheongjae Lee GG Lee doi:10.1109/ROMAN.2007.4415194 Robot and Human interactive Communication, 2007. RO-MAN 2007. The 16th IEEE International Symposium on (2007), pp. 798-801. 2008-06-04T14:58:05-00:00 2007 Robot and Human interactive Communication, 2007. RO-MAN 2007. The 16th IEEE International Symposium on 798 801 affective emotion_recognition emotions hci http://www.citeulike.org/user/theduckman/article/2861348 <i>Robot and Human interactive Communication, 2007. RO-MAN 2007. The 16th IEEE International Symposium on (2007), pp. 351-356.</i><br /><br />This paper introduces an emotion interaction system for a service robot. The purpose of emotion interaction systems in service robots is to make people feel that the robot is not a mere machine, but reliable living assistant in the home. The emotion interaction system is composed of the emotion recognition, generation, and expression systems. A user's emotion is recognized by multi-modality, such as voice, dialogue, and touch. The robot's emotion is generated according to a psychological theory about emotion: OCC (Ortony, Clore, and Collins) model, which focuses on the user's emotional state and the information about environment and the robot itself. The generated emotion is expressed by facial expression, gesture, and the musical sound of the robot. Because the proposed system is composed of all the three components that are necessary for a full emotional interaction cycle, it can be implemented in the real robot system and be tested. Even though the multi- modality in emotion recognition and expression is still in its rudimentary stages, the proposed system is shown to be extremely useful in service robot applications. Furthermore, the proposed framework can be a cornerstone for the design of emotion interaction and generation systems for robots. Emotion Interaction System for a Service Robot Dong-Soo Kwon Yoon Kwak JC Park Myung Chung Eun-Sook Jee Kyung-Sook Park Hyoung-Rock Kim Young-Min Kim Jong-Chan Park Eun Kim Kyung Hyun Hye-Jin Min Hui Lee Jeong Park Su Jo Soon-Young Park Kyung-Won Lee doi:10.1109/ROMAN.2007.4415108 Robot and Human interactive Communication, 2007. RO-MAN 2007. The 16th IEEE International Symposium on (2007), pp. 351-356. 2008-06-04T14:57:01-00:00 2007 Robot and Human interactive Communication, 2007. RO-MAN 2007. The 16th IEEE International Symposium on 351 356 affective emotion_recognition emotions http://www.citeulike.org/user/theduckman/article/2861347 <i>Fuzzy Systems Conference, 2007. FUZZ-IEEE 2007. IEEE International (2007), pp. 1-6.</i><br /><br />This paper presents the fuzzy video based emotion recognition system VISBER, that allows to analyze facial expressions in video sequences. In order to process images in real-time a tracking mechanism is used for face localization. The fuzzy classification itself analyzes the deformation of a face separately in each image. In contrast to most existing approaches, also blended emotions with varying intensities as proposed by psychologists can be handled. For this purpose we propose a fuzzy emotion model which is generally applicable for also for other emotion recognition solutions. Furthermore, VISBER supports the automatic adaptation to the characteristics of individual human faces by a short training phase that can be done before the emotion recognition starts. Real-Time Facial Expression Recognition Using a Fuzzy Emotion Model N Esau E Wetzel L Kleinjohann B Kleinjohann doi:10.1109/FUZZY.2007.4295451 Fuzzy Systems Conference, 2007. FUZZ-IEEE 2007. IEEE International (2007), pp. 1-6. 2008-06-04T14:55:33-00:00 2007 Fuzzy Systems Conference, 2007. FUZZ-IEEE 2007. IEEE International 1 6 affective emotion_recognition emotions facial fuzzy_emotion_model fuzzy_logic http://www.citeulike.org/user/theduckman/article/2863514 <i>Computers and Communications, 1993., Twelfth Annual International Phoenix Conference on (1993), pp. 552-558.</i><br /><br />The author describes an investigation of human face recognition using neural networks. The investigation is the basis for retrieval and management of human face images stored in the database. The database is similar to FBI or many other law enforcement agencies databases. The goal of the investigation is twofold. First, assuming that an existing database of the front face and profile images is available, the requirement is to know whether the neural network trained on the front image and the profile can recognize any other images of the same person. Second, a minimal set of snapshots of each person is desired consisting of at least the front face and profile, which are needed to train a neural network so that the trained network can then recognize many other snapshots of the same person. The research prototype of a postrelational database management system (DBMs) is discussed called CHINOOK being implemented at the University of Colorado at Colorado Springs. CHINOOK is intended to manage databases of digitized images and digitized one-dimensional data as well as text and tables. CHINOOK is intended to support the retrieval of images by their content Neural network recognition of human face images stored in the database DZ Badal doi:10.1109/PCCC.1993.344529 Computers and Communications, 1993., Twelfth Annual International Phoenix Conference on (1993), pp. 552-558. 2008-06-05T06:21:32-00:00 1993 Computers and Communications, 1993., Twelfth Annual International Phoenix Conference on 552 558 emotion_recognition emotions nn http://www.citeulike.org/user/theduckman/article/2863512 <i>Solid-State Sensors, Actuators and Microsystems, 2005. Digest of Technical Papers. TRANSDUCERS '05. The 13th International Conference on, Vol. 1 (2005), pp. 221-227 Vol. 1.</i><br /><br />Health smart clothes which are in contact with almost all the surface of the skin offer large possibilities for the location of sensors for noninvasive measurements. Head band, collar, tee-shirt, socks, shoes, belts for chest, arm, wrist, legs provide localization with specific purpose taking into account their proximity of an organ or a source of biosignal, and also its ergonomic possibility (user friendliness) to fix a sensor, and the associated instrumentation (batteries, amplifiers, signal processing, telecommunication, alarm, display). The research is oriented toward two complementary directions : improving the relevancy of each sensor and increasing the number of sensors for having a more global synthetic and robust information. Smart clothes and associated wearable devices for biomedical ambulatory monitoring A Dittmar A Lymberis doi:10.1109/SENSOR.2005.1496398 Solid-State Sensors, Actuators and Microsystems, 2005. Digest of Technical Papers. TRANSDUCERS '05. The 13th International Conference on, Vol. 1 (2005), pp. 221-227 Vol. 1. 2008-06-05T06:21:27-00:00 2005 Solid-State Sensors, Actuators and Microsystems, 2005. Digest of Technical Papers. TRANSDUCERS '05. The 13th International Conference on 1 221 227 Vol. 1 ekg emotion_recognition emotions ppr wearable_computers http://www.citeulike.org/user/theduckman/article/2863476 <i>Robot and Human Interactive Communication, 2006. ROMAN 2006. The 15th IEEE International Symposium on (2006), pp. 257-262.</i><br /><br />In order for humans and robots to interact in an effective and intuitive manner, robots must obtain information about the human affective state in response to the robot's actions. This secondary mode of interactive communication is hypothesized to permit a more natural collaboration, similar to the "body language" interaction between two cooperating humans. This paper describes the implementation and validation of a hidden Markov model for estimating human affective state in real-time, using robot motions as the stimulus. Inputs to the system are physiological signals such as heart rate, perspiration rate, and facial muscle contraction. Affective state was estimated using a two dimensional valence-arousal representation. A robot manipulator was used to generate motions simulating human-robot interaction, and human subjects were asked to report their response to the motions. The human physiological response was also measured. Robot motions were generated using both a nominal potential field planner and a recently reported safe motion planner that minimizes the potential collision forces along the path. The robot motions were tested with 36 subjects. This data was used to train and validate the HMM model. The results of the HMM affective estimation are also compared to a previously implemented fuzzy inference engine Estimating Robot Induced Affective State using Hidden Markov Models D Kulic E Croft doi:10.1109/ROMAN.2006.314427 Robot and Human Interactive Communication, 2006. ROMAN 2006. The 15th IEEE International Symposium on (2006), pp. 257-262. 2008-06-05T05:57:45-00:00 2006 Robot and Human Interactive Communication, 2006. ROMAN 2006. The 15th IEEE International Symposium on 257 262 affective emotion_recognition emotions ppr http://www.citeulike.org/user/tessaverhoef/article/2863490 <i>Multimedia and Expo, 2005. ICME 2005. IEEE International Conference on (2005), pp. 940-943.</i><br /><br />Little attention has been paid so far to physiological signals for emotion recognition compared to audio-visual emotion channels, such as facial expressions or speech. In this paper, we discuss the most important stages of a fully implemented emotion recognition system including data analysis and classification. For collecting physiological signals in different affective states, we used a music induction method which elicits natural emotional reactions from the subject. Four-channel biosensors are used to obtain electromyogram, electrocardiogram, skin conductivity and respiration changes. After calculating a sufficient amount of features from the raw signals, several feature selection/reduction methods are tested to extract a new feature set consisting of the most significant features for improving classification performance. Three well-known classifiers, linear discriminant function, k-nearest neighbour and multilayer perceptron, are then used to perform supervised classification From Physiological Signals to Emotions: Implementing and Comparing Selected Methods for Feature Extraction and Classification J Wagner J Kim E Andre doi:10.1109/ICME.2005.1521579 Multimedia and Expo, 2005. ICME 2005. IEEE International Conference on (2005), pp. 940-943. 2008-06-05T06:04:08-00:00 2005 Multimedia and Expo, 2005. ICME 2005. IEEE International Conference on 940 943 emotions mapping physiological signals http://www.citeulike.org/user/tessaverhoef/article/2827281 <i>Journal of personality and social psychology, Vol. 76, No. 5. (May 1999), pp. 805-819.</i><br /><br />What is the structure of emotion? Emotion is too broad a class of events to be a single scientific category, and no one structure suffices. As an illustration, core affect is distinguished from prototypical emotional episode. Core affect refers to consciously accessible elemental processes of pleasure and activation, has many causes, and is always present. Its structure involves two bipolar dimensions. Prototypical emotional episode refers to a complex process that unfolds over time, involves causally connected subevents (antecedent; appraisal; physiological, affective, and cognitive changes; behavioral response; self-categorization), has one perceived cause, and is rare. Its structure involves categories (anger, fear, shame, jealousy, etc.) vertically organized as a fuzzy hierarchy and horizontally organized as part of a circumplex. Core affect, prototypical emotional episodes, and other things called emotion: dissecting the elephant. JA Russell LF Barrett Journal of personality and social psychology, Vol. 76, No. 5. (May 1999), pp. 805-819. 2008-05-24T03:45:38-00:00 1999 Journal of personality and social psychology 0022-3514 76 5 805 819 affect arousal core dimensions emotions theories valence http://www.citeulike.org/user/tessaverhoef/article/2837690 <i>(1997)</i><br /><br />We present Cathexis, a distributed, computational model which offers an alternative approach to model the dynamic nature of different affective phenomena, such as emotions, moods and temperaments, and provides a flexible way of modeling their influence on the behavior of synthetic autonomous agents. The model has been implemented as part of an extensible, object-oriented framework which provides enough functionality for agent developers to design emotional agents that can be used in a variety... Modeling Emotions and Other Motivations in Synthetic Agents J Velasquez (1997) 2008-05-27T14:42:19-00:00 1997 agents emotions hci modeling http://www.citeulike.org/user/terrih/article/2914486 <i>Communication Research, Vol. 14, No. 1. (1 February 1987), pp. 85-108.</i><br /><br />This article investigates a new communication medium--public computer conferencing--by separately and jointly analyzing two basic aspects of human communication: (1) content, the extent to which such systems can support socioemotional communication, and (2) connectivity, communication patterns among system users. Results indicate that (1) computer-mediated communication systems can facilitate a moderate exchange of socioemotional content and (2) basic network roles did not generally differ in percentage of socioemotional content. Some fundamental issues in analyzing content and networks in computer-mediated systems, such as structural equivalence versus cohesion network approaches, are discussed in light of these results. 10.1177/009365087014001005 Electronic Emotion: Socioemotional Content in a Computer-Mediated Communication Network Ronald Rice GAIL Love doi:10.1177/009365087014001005 Communication Research, Vol. 14, No. 1. (1 February 1987), pp. 85-108. 2008-06-22T00:15:16-00:00 1987 Communication Research 14 1 85 108 cmc emotions in http://www.citeulike.org/user/taih/article/1372125 <i>Journal of Experimental Social Psychology, Vol. 43, No. 2. (March 2007), pp. 303-311.</i><br /><br />The current research investigated the hypothesis that, depending on an individual's cultural background, facial cues in different parts of the face are weighted differently when interpreting emotions. Given that the eyes are more difficult to control than the mouth when people express emotions, we predicted that individuals in cultures where emotional subduction is the norm (such as Japan) would focus more strongly on the eyes than the mouth when interpreting others' emotions. By contrast, we predicted that people in cultures where overt emotional expression is the norm (such as the US) would tend to interpret emotions based on the position of the mouth, because it is the most expressive part of the face. This hypothesis was confirmed in two studies, one using illustrated faces, and one using edited facial expressions from real people, in which emotional expressions in the eyes and mouth were independently manipulated. Implications for our understanding of cross-cultural psychology, as well of the psychology of emotional interpretation, are discussed. Are the windows to the soul the same in the East and West? Cultural differences in using the eyes and mouth as cues to recognize emotions in Japan and the United States Masaki Yuki William Maddux Takahiko Masuda Journal of Experimental Social Psychology, Vol. 43, No. 2. (March 2007), pp. 303-311. 2007-06-08T08:09:59-00:00 2007 Journal of Experimental Social Psychology 43 2 303 311 cognition culture emotion-recognition emotions facial-expressions social http://www.citeulike.org/user/stefanherzog/article/529633 <i>Science, Vol. 310, No. 5754. (9 December 2005), pp. 1624-1625.</i> NEUROSCIENCE: Emotion and Reason in Making Decisions Aldo Rustichini doi:10.1126/science.1122179 Science, Vol. 310, No. 5754. (9 December 2005), pp. 1624-1625. 2006-03-03T16:43:03-00:00 2005 Science 310 5754 1624 1625 affect decision-making emotions neuroeconomics neuroscience http://www.citeulike.org/user/shupsy/article/1074913 <i>Cerebral Cortex, Vol. 10, No. 3. (March 2000), pp. 295-307.</i><br /><br />The somatic marker hypothesis provides a systems-level neuroanatomical and cognitive framework for decision making and the influence on it by emotion. The key idea of this hypothesis is that decision making is a process that is influenced by marker signals that arise in bioregulatory processes, including those that express themselves in emotions and feelings. This influence can occur at multiple levels of operation, some of which occur consciously and some of which occur non-consciously. Here we review studies that confirm various predictions from the hypothesis. The orbitofrontal cortex represents one critical structure in a neural system subserving decision making. Decision making is not mediated by the orbitofrontal cortex alone, but arises from large-scale systems that include other cortical and subcortical components. Such structures include the amygdala, the somatosensory/insular cortices and the peripheral nervous system. Here we focus only on the role of the orbitofrontal cortex in decision making and emotional processing, and the relationship between emotion, decision making and other cognitive functions of the frontal lobe, namely working memory. Emotion, decision making and the orbitofrontal cortex A Bechara H Damasio AR Damasio doi:10.1093/cercor/10.3.295 Cerebral Cortex, Vol. 10, No. 3. (March 2000), pp. 295-307. 2007-01-29T20:27:30-00:00 2000 Cerebral Cortex 1047-3211 10 3 295 307 decision-making emotions orbitofrontal-cortex http://www.citeulike.org/user/shupsy/article/131507 <i>Games and Economic Behavior, Vol. 52, No. 2. (August 2005), pp. 336-372.</i><br /><br />Modern economic theory ignores the influence of emotions on decision-making. Emerging neuroscience evidence suggests that sound and rational decision making, in fact, depends on prior accurate emotional processing. The somatic marker hypothesis provides a systems-level neuroanatomical and cognitive framework for decision-making and its influence by emotion. The key idea of this hypothesis is that decision-making is a process that is influenced by marker signals that arise in bioregulatory processes, including those that express themselves in emotions and feelings. This influence can occur at multiple levels of operation, some of which occur consciously, and some of which occur non-consciously. Here we review studies that confirm various predictions from the hypothesis, and propose a neural model for economic decision, in which emotions are a major factor in the interaction between environmental conditions and human decision processes, with these emotional systems providing valuable implicit or explicit knowledge for making fast and advantageous decisions. The somatic marker hypothesis: a neural theory of economic decision A Bechara AR Damasio doi:10.1016/j.geb.2004.06.010 Games and Economic Behavior, Vol. 52, No. 2. (August 2005), pp. 336-372. 2005-03-17T20:35:46-00:00 2005 Games and Economic Behavior 52 2 336 372 decision-making emotions somatic-marker-hypothesis http://www.citeulike.org/user/shupsy/article/2330501 <i>American Journal of Psychiatry, Vol. 164, No. 12. (1 December 2007), pp. 1832-1841.</i><br /><br />OBJECTIVE: The authors sought to test the hypothesis that in patients with borderline personality disorder, the ventromedial prefrontal cortex and associated regions would not be activated during a task requiring motor inhibition in the setting of negative emotion. Such a finding would provide a plausible neural basis for the difficulty borderline patients have in modulating their behavior during negative emotional states and a potential marker for treatment interventions. METHOD: A specifically designed functional magnetic resonance imaging (fMRI) activation probe was used, with statistical parametric mapping analyses, to test hypotheses concerning decreased prefrontal inhibitory function in the context of negative emotion in patients with borderline personality disorder (N=16) and healthy comparison subjects (N=14). 3-T fMRI scanning was used to study brain activity while participants performed an emotional linguistic go/no-go task. RESULTS: Analyses confirmed that under conditions associated with the interaction of behavioral inhibition and negative emotion, borderline patients showed relatively decreased ventromedial prefrontal activity (including medial orbitofrontal and subgenual anterior cingulate) compared with healthy subjects. In borderline patients, under conditions of behavioral inhibition in the context of negative emotion, decreasing ventromedial prefrontal and increasing extended amygdalar-ventral striatal activity correlated highly with measures of decreased constraint and increased negative emotion, respectively. CONCLUSIONS: These findings suggest specific frontolimbic neural substrates associated with core clinical features of emotional and behavioral dyscontrol in borderline personality disorder. 10.1176/appi.ajp.2007.06010126 Failure of Frontolimbic Inhibitory Function in the Context of Negative Emotion in Borderline Personality Disorder D Silbersweig JF Clarkin M Goldstein OF Kernberg O Tuescher KN Levy G Brendel H Pan M Beutel MT Pavony J Epstein MF Lenzenweger KM Thomas M Posner E Stern doi:10.1176/appi.ajp.2007.06010126 American Journal of Psychiatry, Vol. 164, No. 12. (1 December 2007), pp. 1832-1841. 2008-02-04T20:14:21-00:00 2007 American Journal of Psychiatry 164 12 1832 1841 borderline-pd cognitions decision-making emotions impulsivity neuroimaging http://www.citeulike.org/user/shupsy/article/2330497 <i>American Journal of Psychiatry, Vol. 164, No. 12. (1 December 2007), pp. 1776-1779.</i><br /><br />10.1176/appi.ajp.2007.07091505 Brain Mechanisms of Borderline Personality Disorder at the Intersection of Cognition, Emotion, and the Clinic GJ Siegle doi:10.1176/appi.ajp.2007.07091505 American Journal of Psychiatry, Vol. 164, No. 12. (1 December 2007), pp. 1776-1779. 2008-02-04T20:11:52-00:00 2007 American Journal of Psychiatry 164 12 1776 1779 borderline-pd cognitions decision-making emotions impulsivity neuroimaging http://www.citeulike.org/user/shupsy/article/404323 <i>Science, Vol. 275, No. 5304. (28 February 1997), pp. 1293-1295.</i><br /><br />Deciding advantageously in a complex situation is thought to require overt reasoning on declarative knowledge, namely, on facts pertaining to premises, options for action, and outcomes of actions that embody the pertinent previous experience. An alternative possibility was investigated: that overt reasoning is preceded by a nonconscious biasing step that uses neural systems other than those that support declarative knowledge. Normal participants and patients with prefrontal damage and decision-making defects performed a gambling task in which behavioral, psychophysiological, and self-account measures were obtained in parallel. Normals began to choose advantageously before they realized which strategy worked best, whereas prefrontal patients continued to choose disadvantageously even after they knew the correct strategy. Moreover, normals began to generate anticipatory skin conductance responses (SCRs) whenever they pondered a choice that turned out to be risky, before they knew explicitly that it was a risky choice, whereas patients never developed anticipatory SCRs, although some eventually realized which choices were risky. The results suggest that, in normal individuals, nonconscious biases guide behavior before conscious knowledge does. Without the help of such biases, overt knowledge may be insufficient to ensure advantageous behavior. Deciding advantageously before knowing the advantageous strategy. A Bechara H Damasio D Tranel AR Damasio doi:10.1126/science.275.5304.1293 Science, Vol. 275, No. 5304. (28 February 1997), pp. 1293-1295. 2005-11-22T10:50:25-00:00 1997 Science 0036-8075 275 5304 1293 1295 decision-making emotions gambling-task iowa-gambling-task uncertainty http://www.citeulike.org/user/shupsy/article/1605631 <i>Brain and Cognition, Vol. 53, No. 2. (November 2003), pp. 389-392.</i><br /><br />The Iowa Gambling Task has been widely used in the assessment of neurological patients with ventro-mesial frontal lesions. The Iowa Group has claimed that the Gambling Task is too complex for participants to follow using cognition alone, so that participants must rely on emotion-based learning systems (somatic markers). The present study investigates whether similar tasks can be performed without direct somatic markers. In a `Firefighter' task closely matched to the classic Gambling Task, participants evaluate the performance of others--so that they experience reward and punishment indirectly. In contrast to the gradual improvement in performance seen on the classic Iowa Gambling Task, participants on the Firefighter Task showed no learning effect, mirroring the performance of patients with ventro-mesial frontal lesions, and suggesting that the task is very difficult to perform without direct somatic marker information. The use of this task as empirical measure of `empathy' are discussed. Direct versus indirect emotional consequences on the Iowa Gambling Task Oliver Turnbull Helen Berry Caroline Bowman doi:10.1016/S0278-2626(03)00151-9 Brain and Cognition, Vol. 53, No. 2. (November 2003), pp. 389-392. 2007-08-29T15:45:48-00:00 2003 Brain and Cognition 53 2 389 392 decision-making emotions iowa-gambling-task http://www.citeulike.org/user/shupsy/article/1605626 <i>Brain and Cognition, Vol. 55, No. 2. (July 2004), pp. 277-282.</i><br /><br />The Iowa Gambling Task (IGT) has been widely used in the assessment of neurological patients with frontal lesions. Emphasis has been placed on the complexity of the task (i.e., four decks of varying contingency pattern) with the suggestion that the participant must use emotion-based learning to deal with a complex decision-making process. The present study used a single deck card game (the Bangor Gambling Task, BGT), matched in many respects with the Iowa Gambling Task, in which the contingencies varied over time (gradually becoming worse for the participant) rather than across deck (as in the IGT). Forty participants performed both tasks. Performance on the tasks showed many similarities, with participants showing a comparable pattern of incremental learning on both tasks, reaching an analogous final level of performance. More importantly, there was a high correlation (r2=.93) in performance between the two tasks, the most salient feature of which was that virtually every participant who fell below categorisation of impaired IGT performance, also did very poorly on the BGT. These findings bear on the question of whether arguments about the `complexity' of the Iowa Gambling Task necessarily explain why it appears to require emotion-based learning. The Bangor Gambling Task might also be a useful tool for clinical neuropsychologists, in the assessment of patients with executive dysfunction--given that the task is easier and quicker to administer than the Iowa Gambling Task, but appears to share the same performance features. Emotion-based learning on a simplified card game: The Iowa and Bangor Gambling Tasks Caroline Bowman Oliver Turnbull doi:10.1016/j.bandc.2004.02.009 Brain and Cognition, Vol. 55, No. 2. (July 2004), pp. 277-282. 2007-08-29T15:42:30-00:00 2004 Brain and Cognition 55 2 277 282 bangor-gambling-task decision-making emotions iowa-gambling-task learning http://www.citeulike.org/user/serol1971/article/3017682 <i>Cognition & Emotion, Vol. 13, No. 5. (1999), pp. 505-521.</i><br /><br />In this paper we integrate claims and findings concerning the social functions of emotions at the individual, dyadic, group, and cultural levels of analysis. Across levels of analysis theorists assume that emotions solve problems important to social relationships in the context of ongoing interactions. Theorists diverge, however, in their assumptions about the origins, defining characteristics, and consequences of emotions, and in their preferred forms of data. We illustrate the differences and compatibilities among these levels of analysis for the specific case of embarrassment. We close by suggesting research strategies that incorporate a social-functional perspective. Social Functions of Emotions at Four Levels of Analysis Dacher Keltner Jonathan Haidt doi:10.1080/026999399379168 Cognition & Emotion, Vol. 13, No. 5. (1999), pp. 505-521. 2008-07-18T11:18:19-00:00 1999 Cognition & Emotion 13 5 505 521 Psychology Press emotions norms social-software sociology http://www.citeulike.org/user/serol1971/article/3017266 <i>(2006), pp. 105-107.</i> Emotion-based norm enforcement and maintenance in multi-agent systems: foundations and petri net modeling Julia Fix Christian von Scheve Daniel Moldt doi:10.1145/1160633.1160646 (2006), pp. 105-107. 2008-07-18T09:46:32-00:00 2006 105 107 ACM emotions norms social-software sociology http://www.citeulike.org/user/serol1971/article/859338 <i>Computational & Mathematical Organization Theory, Vol. 12, No. 2-3. (October 2006), pp. 81-100.</i> My agents love to conform: Norms and emotion in the micro-macro link Scheve Christian Moldt Daniel Fix Julia Luede Rolf doi:10.1007/s10588-006-9538-6 Computational & Mathematical Organization Theory, Vol. 12, No. 2-3. (October 2006), pp. 81-100. 2006-09-22T20:42:05-00:00 2006 Computational & Mathematical Organization Theory 1381-298X 12 2-3 81 100 Springer emotions norms social-software sociology http://www.citeulike.org/user/serol1971/article/126334 <i>Decision Support Systems, Vol. 36, No. 3. (January 2004), pp. 205-213.</i><br /><br />Communication through computer networks, electronic salons, and virtual communities has its price. Often relatively anonymous and socially detached, electronic communication allows people to write things online that they would seldom consider saying face-to-face, sometimes generating flames. In a study of the motives to flame based upon Uses and Gratifications Theory (UGT), 160 subjects generated comments anonymously in parallel with a group support system (GSS) idea generation program. Results showed that high levels of assertiveness and sensation seeking predicted flaming, and males tended to participate more in the activity than did females. Flaming in electronic communication Mei Alonzo Milam Aiken doi:10.1016/S0167-9236(02)00190-2 Decision Support Systems, Vol. 36, No. 3. (January 2004), pp. 205-213. 2005-03-13T14:26:36-00:00 2004 Decision Support Systems 36 3 205 213 emotions norms social-software sociology http://www.citeulike.org/user/Scis0000002/article/1873934 <i>European Journal of Neuroscience, Vol. 21, No. 7. (2005), pp. 1993-1999.</i><br /><br />Abstract The amygdala is thought to enhance long-term memory for emotionally arousing events by modulating memory formation and storage in the hippocampus and in neocortical areas. Recent animal studies have raised the possibility that cooperativity between amygdala and hippocampus contributes to the retrieval of fear memories. The functional contributions of the amygdala to the retrieval of emotional memories in humans are less well known. Here, in a functional magnetic resonance imaging experiment, 20 healthy subjects studied neutral words in the context of a fearful or a neutral human face. In a subsequent test, they made 'remember' (conscious recollection of the study context), 'know' (familiarity in the absence of conscious recollection) and 'new' judgements on the studied and newly presented neutral words, in the absence of face stimuli. At test, bilateral amygdala, hippocampus and fusiform face area (FFA) were more strongly activated during recollection than during familiarity. Higher activity for fearful than for neutral study context was found in bilateral FFA during recollection but not during familiarity. This difference recapitulated higher activity for fearful than for neutral context in the FFA during study. These data suggest that the amygdalae and hippocampi contribute to the retrieval of emotion-laden context memories by coordinating the reactivation of stored representations in neocortical areas, such as the FFA. However, there also was a recapitulation of emotional study context in the right amygdala during familiarity only, which might therefore be related to affective implicit memory. Recapitulating emotional context: activity of amygdala, hippocampus and fusiform cortex during recollection and familiarity Daniela Fenker Bjorn Schott Alan Klavehn Hans Heinze Emrah Duzel doi:10.1111/j.1460-9568.2005.04033.x European Journal of Neuroscience, Vol. 21, No. 7. (2005), pp. 1993-1999. 2007-11-06T13:42:07-00:00 2005 European Journal of Neuroscience 21 7 1993 1999 amygdala emotions hippocampus http://www.citeulike.org/user/Scis0000002/article/1430794 <i>Ethos, Vol. 11, No. 3. (1983), pp. 166-180.</i> Shame, Social Action, and the Person among the Baining Jane Fajans Ethos, Vol. 11, No. 3. (1983), pp. 166-180. 2007-07-03T13:09:57-00:00 1983 Ethos 11 3 166 180 activities attitudes bdi-agents behaviors beliefs bias cip cognitive-agents context desires emotions expectations goals happiness intentionality intentions mental-models mental-states modalities modality neuroscience opinions personality plans preferences sentiments strategies http://www.citeulike.org/user/Scis0000002/article/1430229 <i></i><br /><br />It is generally recognized that the use of emotions plays an important role in human interactions, for it leads to more exible decisionmaking. In the present work, we extend the idea presented in a paper by Castelfranchi, Conte, and Paolucci, by employing a systematic and detailed model of emotion generation. A scenario is described in which agents that have various types of emotions make decisions regarding compliance with a norm. We compare our results with the ones achieved in... Extending the Computational Study of Social Norms with a Systematic Model of Emotions Ana Bazzan Diana Adamatti Rafael Bordini 2007-07-03T08:27:43-00:00 emotions normative-systems http://www.citeulike.org/user/scholz/article/350110 <i>The Sociological Review, Vol. 48, No. 4. (November 2000), pp. 568-585.</i><br /><br /> This article utilises the concept of emotional capital in order to explore some of the class and gender processes embedded in parental involvement in education. Drawing on fieldwork from a study of mothers’ involvement in their children’s primary schooling it examines mothers’ emotional engagement with their children’s education. Understandings of mothers’ involvement in their children’s schooling are enhanced by including an analysis of the emotions, both positive and negative, that infuse mothers’ activities. The article tentatively concludes that the relationships between educational success, emotional capital and emotional wellbeing, and the extent of overlap and difference between them, could provide new ways of understanding how a range of disadvantages which cross class barriers are being manufactured in the contemporary educational marketplace. A useful extension of Bourdieu's conceptual framework?: emotional capital as a way of understanding mothers' involvement in their children's education? D Reay The Sociological Review, Vol. 48, No. 4. (November 2000), pp. 568-585. 2005-10-13T23:21:42-00:00 2000 The Sociological Review 0038-0261 48 4 568 585 emotions socialcapital http://www.citeulike.org/user/sarahmccrum/article/2846042 <i>Journal of Bodywork and Movement Therapies, Vol. 1, No. 5. (October 1997), pp. 297-305.</i><br /><br />Gravity is one of the most significant yet least understood influences on the structure and function of living things. An appreciation of the ways the body is affected by gravity is important for vritually all bodywork and movement therapies. Classic studies by Goldthwait concluded that chronic illness is a consequence of misalignment of the body with the vertical. Goldthwait's successful non-drug approach to chronic disorders provides a conceptual basis for a variety of modern therapeutic approaches. To Goldthwait, it was obvious that the vertical body is more efficient and energetic. A scientific basis for this concept is emerging from modern research on the properties of the support and movement systems of the body, which are responsible for maintaining verticality and for motion in the gravity field. The tensegrity concept of Buckminster Fuller explains how therapeutic approaches simultaneously interact with the biomechanical supporting systems and vibratory energy systems of the body. Ida Rolf developed an understanding of the plasticity of the body and explained how emotional states and structural balance continually interact. Young described how [`]memories' of the ways the body has been used or abused form as patterns of connective tissue fibre deposition in response to stresses. Part B considers how some therapcutic approaches affect the gravity/movement/energy systems of the body. What is healing energy? Part 5: gravity, structure, and emotions James Oschman doi:10.1016/S1360-8592(97)80066-6 Journal of Bodywork and Movement Therapies, Vol. 1, No. 5. (October 1997), pp. 297-305. 2008-05-29T23:57:26-00:00 1997 Journal of Bodywork and Movement Therapies 1 5 297 305 emotions energy healing http://www.citeulike.org/user/sarahmccrum/article/2836545 <i>(11 September 1997)</i><br /><br />Why do we feel the way we feel? How do our thoughts and emotions affect our health? Are our bodies and minds distinct from each other or do they function together as parts of an interconnected system? In her groundbreaking book _Molecules of Emotion,_ Candace Pert -- a neuroscientist whose extraordinary career began with her 1972 discovery of the opiate receptor -- provides startling and decisive answers to these and other challenging questions that scientists and philosophers have pondered for centuries. Her pioneering research on how the chemicals inside our bodies form a dynamic information network, linking mind and body, is not only provocative, it is revolutionary. By establishing the biomolecular basis for our emotions and explaining these new scientific developments in a clear and accessible way, Pert empowers us to understand ourselves, our feelings, and the connection between our minds and our bodies -- or bodyminds -- in ways we could never possibly have imagined before. From explaining how there is a scientific basis to popular wisdom about phenomena such as "gut feelings" to making comprehensible recent breakthroughs in cancer and AIDS research, Pert provides us with an intellectual adventure of the highest order. The journey Pert takes us on in _Molecules of Emotion_ is one of personal as well as scientific discovery. Woven into her lucid explanations of the science underlying her work is the remarkable story of how, faced with personal and professional obstacles, she has grown as a woman and a mother and how her personal and spiritual development has made possible her remarkable scientific career. _Molecules of Emotion_ is a landmark work, full of insight and wisdom and possessing that rare power to change the way we see the world and ourselves. Pert's striking conclusion that it is our emotions and their biological components that establish the crucial link between mind and body does not, however, serve to repudiate modern medicine's gains; rather, her findings complement existing techniques by offering a new scientific understanding of the power of our minds and our feelings to affect our health and well-being. Molecules of Emotion: Why You Feel the Way You Feel Candace Pert Deepak Chopra (11 September 1997) 2008-05-27T05:34:51-00:00 1997 Scribner emotions http://www.citeulike.org/user/sam2/article/161835 <i>Social Psychology Quarterly, Vol. 52, No. 1. (1989), pp. 1-9.</i><br /><br />Although Durkheim has been called the "architect" of the social constructionist approach to emotions, a careful review of his writings shows that he also accorded biologically constituted emotions a central place in his theory of social solidarity. Human society is created and renewed by the intense arousal that occurs in gatherings and assemblies. Mechanical solidarity is maintained by an instinctive emotional reaction (choler) to the violation of collective sentiments. The division of labor, however, leads to social construction of numerous and diverse emotions, apparently by directing or attaching primary emotions to social objects. Examples of social direction are given in Durkheim's analysis of the depression and anger that motivate suicide. In addition, the role of collective (rather than individual) interpretation in the social causation of emotions is stressed. The cult of the individual, an effect of the division of labor, accounts for the present need for the individual management of emotions. Durkheim and the Social Construction of Emotions Gene Fisher Kyum Chon Social Psychology Quarterly, Vol. 52, No. 1. (1989), pp. 1-9. 2005-04-15T15:54:13-00:00 1989 Social Psychology Quarterly 52 1 1 9 emotions of sociology the