作者: Francesca Dino , Rohola Zandie , Hojjat Abdollahi , Sarah Schoeder , Mohammad H. Mahoor
DOI: 10.1109/IROS40897.2019.8968576
关键词:
摘要: Social robots are becoming an integrated part of our daily life due to their ability provide companionship and entertainment. A subfield robotics, Socially Assistive Robotics (SAR), is particularly suitable for expanding these benefits into the healthcare setting because its unique cognitive, social, emotional support. This paper presents recent research on developing SAR by evaluating a life-like conversational social robot, called Ryan, administer internet-delivered cognitive behavioral therapy (iCBT) older adults with depression. For Ryan therapy, we developed dialogue-management system, Program-R. Using accredited CBT manual treatment depression, created seven hour-long iCBT dialogues them Program-R using Artificial Intelligence Markup Language (AIML). To assess effectiveness Robot-based users’ likability approach, conducted HRI study cohort elderly people mild-to-moderate depression over period four weeks. Quantitative analyses participant’s spoken responses (e.g. word count sentiment analysis), face-scale mood scores, exit surveys, strongly support notion robot-based viable alternative traditional human-delivered therapy.