Abstract
Recent development of capture and archival technology for experiences can serve to extend our memory and knowledge and enrich our collaboration with others. Conversation is an important facet of human experiences. We focus on the conversational participation structure as a type of inverse information associated with human socio-interactional events. Based on an analysis of the Interaction Corpus collected in the Ubiquitous Sensor Room environment, we argue that inverse information can be effectively employed in the retrieval and re-experiencing of the subjective quality of the captured events.
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Katagiri, Y., Bono, M., Suzuki, N. (2006). Conversational Inverse Information for Context-Based Retrieval of Personal Experiences. In: Washio, T., Sakurai, A., Nakajima, K., Takeda, H., Tojo, S., Yokoo, M. (eds) New Frontiers in Artificial Intelligence. JSAI 2005. Lecture Notes in Computer Science(), vol 4012. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11780496_39
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DOI: https://doi.org/10.1007/11780496_39
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