Using Activity Theory to Model Context Awareness Export

@inproceedings{citeulike:1176902, abstract = {One of the cornerstones of any intelligent entity is the ability to understand how occurrences in the surrounding world influence its own behaviour. Different states, or situations, in its environment should be taken into account when reasoning or acting. When dealing with different situations, context is the key element used to infer possible actions and information needs. The activities of the perceiving agent and other entities are arguably one of the most important features of a situation; this is equally true whether the agent is artificial or not. This work proposes the use of Activity Theory to first model context and further on populate the model for assessing situations in a pervasive computing environment. Through the socio-technical perspective given by Activity Theory, the knowledge intensive context model, utilised in our ambient intelligent system, is designed.}, author = {Kofod-Petersen, Anders and Cassens, J\"{o}rg}, citeulike-article-id = {1176902}, citeulike-linkout-0 = {http://dx.doi.org/10.1007/11740674_1}, comment = {* Proposes to use Activity Theory (how humans perform actions, possibly toghether) to model context. * They take the internal approach to modelling context, i.e. the personal subjective perspective. * Concepts of AT are mapped to the different kinds of context generally acception in AI (envirenmental, personal, social, task, spatio-temporal). Based on this it proposes a context ontology. == In AT there is 3 types of actions * Activity: task * Action: conscious actions performed to execute an activity * Operation: unconscious operations performed to execute an action This is dynamic, e.g. an operation can become an action in case of failure.}, doi = {10.1007/11740674_1}, edition = {Springer Berlin, Heidelberg}, journal = {: Modeling and Retrieval of Context}, keywords = {activity, context, inference, l3s\_context\_workshop}, pages = {1--17}, posted-at = {2007-09-24 13:21:04}, priority = {0}, title = {Using Activity Theory to Model Context Awareness}, url = {http://dx.doi.org/10.1007/11740674_1}, year = {2006} }

TY - CONF ID - citeulike:1176902 L3 - citeulike-article-id:1176902 N2 - One of the cornerstones of any intelligent entity is the ability to understand how occurrences in the surrounding world influence its own behaviour. Different states, or situations, in its environment should be taken into account when reasoning or acting. When dealing with different situations, context is the key element used to infer possible actions and information needs. The activities of the perceiving agent and other entities are arguably one of the most important features of a situation; this is equally true whether the agent is artificial or not. This work proposes the use of Activity Theory to first model context and further on populate the model for assessing situations in a pervasive computing environment. Through the socio-technical perspective given by Activity Theory, the knowledge intensive context model, utilised in our ambient intelligent system, is designed. JF - : Modeling and Retrieval of Context EP - 17 TI - Using Activity Theory to Model Context Awareness SP - 1 KW - activity KW - context KW - inference KW - l3s_context_workshop N1 - * Proposes to use Activity Theory (how humans perform actions, possibly toghether) to model context. * They take the internal approach to modelling context, i.e. the personal subjective perspective. * Concepts of AT are mapped to the different kinds of context generally acception in AI (envirenmental, personal, social, task, spatio-temporal). Based on this it proposes a context ontology. == In AT there is 3 types of actions * Activity: task * Action: conscious actions performed to execute an activity * Operation: unconscious operations performed to execute an action This is dynamic, e.g. an operation can become an action in case of failure. AU - Kofod-Petersen, Anders AU - Cassens, Jörg PY - 2006/// UR - http://dx.doi.org/10.1007/11740674_1 ER -