Social Sensing & Trust

This project addresses some key issues that could enable visual lifelog based memory therapy, which could play a key role in addressing the needs of an increasingly elderly population in several nations including Singapore. The elderly population is vulnerable to memory deficits and social isolation. The outcome of this project could have profound implications in various fields by providing valuable knowledge/insights into developing socially intelligent agents or robots that are able to comprehend social signals exhibited during human interaction. The techniques developed here may also be transferred to several other contexts apart from memory therapy for elderly. For example, the social signal detection could be useful for a childcare teacher to monitor the quality of their daily interaction with students.

Principal Investigator: Dr. Vigneshwaran Subbaraju (Social and Cognitive Computing; IHPC)