Conversational scene analysis
Sensing and modeling human networks
Sensing and modeling human networks
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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.