The Chiba University, Graduate School of Engineering, Associate Professor
Individually Adapted Cognitive Activity Support based on Large Scale Conversation Data
Purpose of this study is to validate effect of prospective intervention via conversation towards maintenance and enhancement of cognitive function in older adults. Firstly, we collect large scale conversation data with coimagination method, which supports interactive conversation where all participants play both the roles of speaker and listener in proper balance. Secondly, we develop cognitive feature extraction algorithm based on large scale conversation data. Thirdly, we develop technology for providing individually adapted cognitive activity support service based on their features.