Context and consciousness: activity theory and human-computer interaction
Context and consciousness: activity theory and human-computer interaction
Visual Analysis of Large Heterogeneous Social Networks by Semantic and Structural Abstraction
IEEE Transactions on Visualization and Computer Graphics
Using activity theory to model context awareness
MRC'05 Proceedings of the Second international conference on Modeling and Retrieval of Context
| Hi-index | 0.01 |
Recently, due to proliferation of mobile devices, we can collect users' life-log. Human long-term memory is an interconnected network. The retrieval system of it is cue-dependent. Semantic networks are used to implement it of human retrieval system. It is possible to retrieve relevant data more effectively by using a search system based on network visualization which provides relations among data rather than a text-based search system. This paper proposes representation of semantic networks of mobile life-log based on activity theory, and associatively finds data based on network visualization for it. We have implemented the system, searched data from an example of search, and performed a subjective test. As a result, we have confirmed that this system is useful for associative retrieval resembled to human cue-dependent recall.