Plans and situated actions: the problem of human-machine communication
Plans and situated actions: the problem of human-machine communication
Intelligence without representation
Artificial Intelligence
Knowledge acquisition and learning by experience—the role of case-specific knowledge
Machine learning and knowledge acquisition
Activity theory as a potential framework for human-computer interaction research
Context and consciousness
A context model for knowledge-intensive case-based reasoning
International Journal of Human-Computer Studies - Special issue: using context in applications
Activity analysis as a method for information systems development
Scandinavian Journal of Information Systems - Special issue on information technology in human activity
Physical and Virtual Tools: ActivityTheory Applied to the Design of Groupware
Computer Supported Cooperative Work
Understanding and Using Context
Personal and Ubiquitous Computing
CONTEXT '01 Proceedings of the Third International and Interdisciplinary Conference on Modeling and Using Context
Context and Relevance: A Pragmatic Approach
CONTEXT '01 Proceedings of the Third International and Interdisciplinary Conference on Modeling and Using Context
Explanation-Driven Case-Based Reasoning
EWCBR '93 Selected papers from the First European Workshop on Topics in Case-Based Reasoning
Representing Temporal Knowledge for Case-Based Prediction
ECCBR '02 Proceedings of the 6th European Conference on Advances in Case-Based Reasoning
Topiary: a tool for prototyping location-enhanced applications
Proceedings of the 17th annual ACM symposium on User interface software and technology
AmbieAgents: a scalable infrastructure for mobile and context-aware information services
Proceedings of the fourth international joint conference on Autonomous agents and multiagent systems
User aspects of explanation aware CBR systems
INTERACT'05 Proceedings of the 2005 IFIP TC13 international conference on Human-Computer Interaction
Explanatory Capabilities in the CREEK Knowledge-Intensive Case-Based Reasoner
Proceedings of the 2008 conference on Tenth Scandinavian Conference on Artificial Intelligence: SCAI 2008
Explanations and context in ambient intelligent systems
CONTEXT'07 Proceedings of the 6th international and interdisciplinary conference on Modeling and using context
An operational definition of context
CONTEXT'07 Proceedings of the 6th international and interdisciplinary conference on Modeling and using context
Automatic weblog generation using mobile context
Proceedings of the 7th International Conference on Advances in Mobile Computing and Multimedia
Proceedings of the 7th International Conference on Frontiers of Information Technology
Semantic networks of mobile life-log for associative search based on activity theory
PRICAI'10 Proceedings of the 11th Pacific Rim international conference on Trends in artificial intelligence
Modeling Contexts with Dependent Types
Fundamenta Informaticae
Integrating activity theory for context analysis on large display
Transactions on edutainment V
Research on user activity and context model based mobile context-aware interaction design method
Proceedings of the 13th international conference on Ubiquitous computing
Human activity inference using hierarchical bayesian network in mobile contexts
ICONIP'11 Proceedings of the 18th international conference on Neural Information Processing - Volume Part I
A situation model to support awareness in collaborative design
International Journal of Human-Computer Studies
Automatic image tagging using two-layered Bayesian networks and mobile data from smart phones
Proceedings of the 10th International Conference on Advances in Mobile Computing & Multimedia
A mobile picture tagging system using tree-structured layered Bayesian networks
Mobile Information Systems
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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.