Thu, 21 Aug 2008 14:40:33 BST CiteULike: madders's library [24 articles] http://www.citeulike.org/user/madders CiteULike.org en-gb Copyright © 2004-2008 citeulike.org http://www.citeulike.org/user/madders/article/1398582 <i>Journal of Personality, Vol. 60, No. 2. (1992), pp. 329-361.</i><br /><br />ABSTRACT This critical appraisal aims to position the five-factor model within the multifaceted field of personality psychology by highlighting six important limitations of the model. These are the model's (a) inability to address core constructs of personality functioning beyond the level of traits; (b) limitations with respect to the prediction of specific behavior and the adequate description of personsl' lives; (c) failure to provide compelling causal explanations for human behavior and experience; (d) disregard of the contextual and conditional nature of human experience; (e) failure to offer an attractive program for studying personality organization and integration; and (f) reliance on simple, noncontingent, and implicitly comparative statements about persons. The five-factor model is essentially a "psychology of the stranger," providing information about persons that one would need to know when one knows nothing else about them. It is argued that because of inherent limitations, the Big Five may be viewed as one important model in personality studies but not the integrative model of personality. The Five-Factor Model In Personality: A Critical Appraisal Dan Mcadams doi:10.1111/j.1467-6494.1992.tb00976.x Journal of Personality, Vol. 60, No. 2. (1992), pp. 329-361. 2007-06-19T14:20:34-00:00 1992 Journal of Personality 60 2 329 361 no-tag http://www.citeulike.org/user/madders/article/478805 <i>(1994), pp. 72-78.</i> Computers are social actors Clifford Nass Jonathan Steuer Ellen Tauber doi:10.1145/191666.191703 (1994), pp. 72-78. 2006-01-24T15:35:15-00:00 1994 72 78 ACM Press no-tag http://www.citeulike.org/user/madders/article/1123104 <i>(23 August 2006)</i><br /><br />Human Computer Interaction Research in Web Design and Evaluation presents research from academics and industry experts, covering various aspects of human computer interaction (HCI) Web design from theories to evaluation. This book highlights the use of methods from the HCI area in Web design, and how these methods can be used in a practical sense. Human Computer Interaction Research in Web Design and Evaluation is a comprehensive book on HCI and Web design that focuses on various areas of research, including: theories, analysis, design, and evaluation. This book not only features the human aspect of Web design, but also highlights the social and cultural issues in designing for a wider audience. Human Computer Interaction Research in Web Design and Evaluation Panayiotis Zaphiris Sri Kurniawan (23 August 2006) 2007-02-26T15:28:48-00:00 2006 IGI Global no-tag http://www.citeulike.org/user/madders/article/1613052 <i>European Journal of Personality, Vol. 21, No. 5. (2007), pp. 549-587.</i><br /><br />Genetic influences on personality differences are ubiquitous, but their nature is not well understood. A theoretical framework might help, and can be provided by evolutionary genetics. We assess three evolutionary genetic mechanisms that could explain genetic variance in personality differences: selective neutrality, mutation-selection balance, and balancing selection. Based on evolutionary genetic theory and empirical results from behaviour genetics and personality psychology, we conclude that selective neutrality is largely irrelevant, that mutation-selection balance seems best at explaining genetic variance in intelligence, and that balancing selection by environmental heterogeneity seems best at explaining genetic variance in personality traits. We propose a general model of heritable personality differences that conceptualises intelligence as fitness components and personality traits as individual reaction norms of genotypes across environments, with different fitness consequences in different environmental niches. We also discuss the place of mental health in the model. This evolutionary genetic framework highlights the role of gene-environment interactions in the study of personality, yields new insight into the person-situation-debate and the structure of personality, and has practical implications for both quantitative and molecular genetic studies of personality. Copyright © 2007 John Wiley & Sons, Ltd. The evolutionary genetics of personality Lars Penke Jaap Denissen Geoffrey Miller doi:10.1002/per.629 European Journal of Personality, Vol. 21, No. 5. (2007), pp. 549-587. 2007-09-01T18:31:10-00:00 2007 European Journal of Personality 21 5 549 587 no-tag http://www.citeulike.org/user/madders/article/1389949 <i>pp. 165-199.</i><br /><br />Responses to five established personality scales (CPI, OPQ CM5.2, OPQ32n, FIRO-B and MBTI) were obtained from large samples of the British population between 16 and 64 years of age. Significant age differences were present for about half the scales, and non-linear patterns occurred in 10% of cases. Older people were found to be, for instance, more conscientious, traditional and careful in interaction with others, and less sociable, outgoing, change orientated and career motivated. No age differences were present for traits such as social confidence, assertiveness, independence, worrying and critical. Contrary to findings about fluid intelligence, personality variation around the mean at older ages was not greater than at younger ages. Age and personality in the British population between 16 and 64 years P Warr pp. 165-199. 2007-06-14T12:24:07-00:00 165 199 no-tag http://www.citeulike.org/user/madders/article/269365 <i>International Journal of Human-Computer Studies, Vol. 45, No. 6. (December 1996), pp. 669-678.</i><br /><br /> This study investigated the claim that humans will readily form team relationships with computers. Drawing from the group dynamic literature in human-human interactions, a laboratory experiment ( n =56) manipulated identity and interdependence to create team affiliation in a human-computer interaction. The data show that subjects who are told they are interdependent with the computer affiliate with the computer as a team. The data also show that the effects of being in a team with a computer are the same as the effects of being in a team with another human: subjects in the interdependence conditions perceived the computer to be more similar to themselves, saw themselves as more cooperative, were more open to influence from the computer, thought the information from the computer was of higher quality, found the information from the computer friendlier, and conformed more to the computer's information. Subjects in the identity conditions showed neither team affiliation nor the effects of team affiliation. Can computers be teammates? C Nass BJ Fogg Y Moon International Journal of Human-Computer Studies, Vol. 45, No. 6. (December 1996), pp. 669-678. 2005-07-30T13:47:29-00:00 1996 International Journal of Human-Computer Studies 1071-5819 45 6 669 678 no-tag http://www.citeulike.org/user/madders/article/1346299 <i>Journal of Information Science, Vol. 32, No. 5. (1 October 2006), pp. 400-419.</i><br /><br />Digital libraries, e-journal platforms, portals, e-prints and other web-based information systems provide services supporting users to perform intense work tasks that require complex interaction activities. The main components of such services are the users, the offered content and the system on which they are performed. This paper presents a model, which analyses the attributes of the electronic information services' components that affect user interaction and correlates them in the usefulness and usability evaluation process. An experimental study traces the relations between usefulness and usability, indicating that these evaluation parameters are interconnected and users do not find discriminating differences between them. The analysis of the content and system attributes suggests that user interaction is affected equally by content and system characteristics. Finally, the study illustrates users' preference for the attributes that constitute a useful system in contrast to those that support usability. 10.1177/0165551506065934 Analysing and evaluating usefulness and usability in electronic information services Giannis Tsakonas Christos Papatheodorou doi:10.1177/0165551506065934 Journal of Information Science, Vol. 32, No. 5. (1 October 2006), pp. 400-419. 2007-05-31T12:16:59-00:00 2006 Journal of Information Science 32 5 400 419 no-tag http://www.citeulike.org/user/madders/article/526127 <i>(2004), pp. 1-11.</i> The user experience: designs and adaptations Vicki Hanson doi:10.1145/990657.990659 (2004), pp. 1-11. 2006-03-02T01:34:22-00:00 2004 1 11 ACM Press no-tag http://www.citeulike.org/user/madders/article/852676 <i>(2005), pp. 251-254.</i><br /><br />The design of the user experience has increasingly become a goal in developing interactive systems during the last years. Since then, several attempts have been made to broaden interactive system design’s traditional focus on the efficient achievement of goals to better understand additional aspects that contribute to user experience. In this paper, I first give an overview of different approaches that have taken this development into account. Based on this review I present an integrative model of user experience. This model emphasizes a combined investigation of traditional and additional quality aspects like hedonics and aesthetics. Moreover their interaction with affect and emotions as an important part of user experience are pronounced. Thus, in next steps, this theoretical basis will be used to develop a framework for user experience evaluation. Understanding Users' Experience of Interaction Sascha Mahlke doi:10.1145/1056808.1056885 (2005), pp. 251-254. 2006-09-21T11:37:55-00:00 2005 251 254 University of Athens no-tag http://www.citeulike.org/user/madders/article/180632 <i>Journal of the American Society for Information Science and Technology, Vol. 56, No. 8. (24 March 2005), pp. 803-811.</i><br /><br />An innovator's personality along with the perceived attributes of an innovation predicts the rate of diffusion. The current study focuses on the personality factors that determine the likelihood of adoption of a technological innovation. To that end, the study distinguishes between global innovativeness and context-specific innovativeness. An information processing model was tested where technological innovativeness was purported to be indirectly influenced by an individual's global innovativeness, through its impact on communication and media use behaviors. The structural model was tested on two separate technology clusters, and partial support was found for linking sophistication in information search, and prior technology ownership to technological innovativeness. Impact of personality on technology adoption: An empirical model Arun Vishwanath doi:10.1002/asi.20169 Journal of the American Society for Information Science and Technology, Vol. 56, No. 8. (24 March 2005), pp. 803-811. 2005-05-05T12:39:42-00:00 2005 Journal of the American Society for Information Science and Technology 1532-2890 56 8 803 811 no-tag http://www.citeulike.org/user/madders/article/615963 <i>Personality and Individual Differences, Vol. 40, No. 8. (June 2006), pp. 1531-1541.</i><br /><br />Relationships between personality and vocational interest factors were examined at the phenotypic and genetic levels. Twins and siblings (N = 516) completed self-report personality and vocational interest scales. Following factor analyses of each scale, five personality and six vocational interest factors were extracted. At the phenotypic level, correlations between personality and vocational interests ranged from zero to .33. Heritability estimates of the scales showed that genetic components accounted for 0-56% of the variance for the vocational interest factors and 44-65% for the personality factors. Genetic correlations between the two areas ranged from zero to .50. The results suggest that personality is related to some vocational interest dimensions and that some of these observed relationships have a common genetic basis. Phenotypic and genetic relationships between vocational interests and personality Julie Harris Philip Vernon Andrew Johnson Kerry Jang doi:10.1016/j.paid.2005.11.024 Personality and Individual Differences, Vol. 40, No. 8. (June 2006), pp. 1531-1541. 2006-05-07T07:07:02-00:00 2006 Personality and Individual Differences 40 8 1531 1541 no-tag http://www.citeulike.org/user/madders/article/608089 <i>Journal of Personality and Social Psychology, Vol. 87, No. 1. (July 2004), pp. 123-132.</i><br /><br />This research examined the accuracy of personality impressions based on personal websites, a rapidly growing medium for self-expression, where identity claims are predominant. Eighty-nine websites were viewed by 11 observers, who rated the website authors' personalities. The ratings were compared with an accuracy criterion (self- and informant reports) and with the authors' ideal-self ratings. The websites elicited high levels of observer consensus and accuracy, and observers' impressions were somewhat enhanced for Extraversion and Agreeableness. The accuracy correlations were comparable in magnitude to those found in other contexts of interpersonal perception and generally stronger than those found in zero-acquaintance contexts. These findings suggest that identity claims are used to convey valid information about personality. e-Perceptions: Personality Impressions Based on Personal Websites Simine Vazire Samuel Gosling Journal of Personality and Social Psychology, Vol. 87, No. 1. (July 2004), pp. 123-132. 2006-04-30T17:22:59-00:00 2004 Journal of Personality and Social Psychology 87 1 123 132 no-tag http://www.citeulike.org/user/madders/article/264922 <i>Int. J. Hum.-Comput. Stud., Vol. 43, No. 2. (August 1995), pp. 223-239.</i> Can computer personalities be human personalities? Clifford Nass Youngme Moon BJ Fogg Byron Reeves Christopher Dryer doi:10.1006/ijhc.1995.1042 Int. J. Hum.-Comput. Stud., Vol. 43, No. 2. (August 1995), pp. 223-239. 2005-07-26T10:20:01-00:00 1995 Int. J. Hum.-Comput. Stud. 1071-5819 43 2 223 239 Academic Press, Inc. no-tag http://www.citeulike.org/user/madders/article/453455 <i>Behaviour and Information Technology, Vol. 25, No. 2. (April 2006), pp. 91-97.</i> User experiencea research agenda Marc Hassenzahl Noam Tractinsky doi:10.1080/01449290500330331 Behaviour and Information Technology, Vol. 25, No. 2. (April 2006), pp. 91-97. 2005-12-30T18:02:50-00:00 2006 Behaviour and Information Technology 0144-929X 25 2 91 97 Taylor and Francis Ltd no-tag http://www.citeulike.org/user/madders/article/1304056 <i>User Modeling and User-Adapted Interaction, Vol. 11, No. 1. (1 March 2001), pp. 19-29.</i><br /><br />At first blush, user modeling appears to be a prime candidate for straightforward application of standard machine learning techniques. Observations of the user's behavior can provide training examples that a machine learning system can use to form a model designed to predict future actions. However, user modeling poses a number of challenges for machine learning that have hindered its application in user modeling, including: the need for large data sets; the need for labeled data; concept drift; and computational complexity. This paper examines each of these issues and reviews approaches to resolving them. Machine Learning for User Modeling Geoffrey Webb Michael Pazzani Daniel Billsus doi:10.1023/A:1011117102175 User Modeling and User-Adapted Interaction, Vol. 11, No. 1. (1 March 2001), pp. 19-29. 2007-05-17T18:41:31-00:00 2001 User Modeling and User-Adapted Interaction 11 1 19 29 no-tag http://www.citeulike.org/user/madders/article/1699666 <i>User Modeling and User-Adapted Interaction, Vol. 11, No. 1. (1 March 2001), pp. 49-63.</i><br /><br />The paper reviews the development of generic user modeling systems over the past twenty years. It describes their purposes, their services within user-adaptive systems, and the different design requirements for research prototypes and commercially deployed servers. It discusses the architectures that have been explored so far, namely shell systems that form part of the application, central server systems that communicate with several applications, and possible future user modeling agents that physically follow the user. Several implemented research prototypes and commercial systems are briefly described. Generic User Modeling Systems Alfred Kobsa doi:10.1023/A:1011187500863 User Modeling and User-Adapted Interaction, Vol. 11, No. 1. (1 March 2001), pp. 49-63. 2007-09-27T08:57:49-00:00 2001 User Modeling and User-Adapted Interaction 11 1 49 63 no-tag http://www.citeulike.org/user/madders/article/935667 <i>User Modeling and User-Adapted Interaction, Vol. V11, No. 1. (1 March 2001), pp. 65-86.</i> User Modeling in HumanâComputer Interaction Gerhard Fischer doi:10.1023/A:1011145532042 User Modeling and User-Adapted Interaction, Vol. V11, No. 1. (1 March 2001), pp. 65-86. 2006-11-07T19:16:34-00:00 2001 User Modeling and User-Adapted Interaction V11 1 65 86 no-tag http://www.citeulike.org/user/madders/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 no-tag http://www.citeulike.org/user/madders/article/1652356 <i>(August 2003)</i><br /><br />Todays computer interfaces are one-size-fits-all. Automatically Personalizing User Interfaces Daniel Weld Corin Anderson Pedro Domingos Oren Etzioni Krzysztof Gajos Tessa Lau Steve Wolfman (August 2003) 2007-09-13T16:31:41-00:00 2003 no-tag http://www.citeulike.org/user/madders/article/144026 <i>(1990), pp. 249-256.</i> Heuristic evaluation of user interfaces Jakob Nielsen Rolf Molich doi:10.1145/97243.97281 (1990), pp. 249-256. 2005-04-01T08:24:49-00:00 1990 249 256 ACM Press no-tag http://www.citeulike.org/user/madders/article/908247 <i>SIGCHI Bull., Vol. 20, No. 3. (January 1989), pp. 63-65.</i> Coordinating user interfaces for consistency J Nielsen doi:10.1145/67900.67910 SIGCHI Bull., Vol. 20, No. 3. (January 1989), pp. 63-65. 2006-10-20T13:35:26-00:00 1989 SIGCHI Bull. 0736-6906 20 3 63 65 ACM Press no-tag http://www.citeulike.org/user/madders/article/202002 <i>Commun. ACM, Vol. 45, No. 5. (May 2002), pp. 34-38.</i> Adaptive interfaces for ubiquitous web access Daniel Billsus Clifford Brunk Craig Evans Brian Gladish Michael Pazzani doi:10.1145/506218.506240 Commun. ACM, Vol. 45, No. 5. (May 2002), pp. 34-38. 2005-05-17T18:06:49-00:00 2002 Commun. ACM 0001-0782 45 5 34 38 ACM Press no-tag http://www.citeulike.org/user/madders/article/312620 <i>Lecture Notes in Computer Science, Vol. 2333 (January 2002), 21.</i> Emotions and Personality in Agent Design and Modeling Piotr Gmytrasiewicz Christine Lisetti Lecture Notes in Computer Science, Vol. 2333 (January 2002), 21. 2005-09-07T13:35:28-00:00 2002 Lecture Notes in Computer Science 2333 21 no-tag http://www.citeulike.org/user/madders/article/531102 <i>(2000), pp. 49-56.</i> The effects of animated characters on anxiety, task performance, and evaluations of user interfaces Raoul Rickenberg Byron Reeves doi:10.1145/332040.332406 (2000), pp. 49-56. 2006-03-05T16:54:15-00:00 2000 49 56 ACM Press no-tag