상세정보
학술대회
Turn-Taking Intention Recognition Using Multimodal Cues in Social Human-Robot Interaction
- 발행일
- 201710
- 출처
- International Conference on Control, Automation and Systems (ICCAS) 2017, pp.1300-1302
- 협약과제
- 17HS6500, 고령 사회에 대응하기 위한 실환경 휴먼케어 로봇 기술 개발, 이재연
- 초록
- Turn-taking is an essential social skill for human communication. The robot needs to recognize the end of turn for timely response to the user with little delay in human-robot interaction. In this paper, we propose a turn-taking intention recognition system that determine the timing of turn-taking using multimodal cues in social Human-Robot Interaction (sHRI). In order to evaluate the turn-taking intention recognition system, we collect multimodal data set and conducted experiments. To that end, we designed a human-robot interaction scenario including turn-taking and conducted an experiment with 30 participants using the humanoid robot NAO. In experiments, we validate recognition models trained multimodal dataset by machine learning methods.
- KSP 제안 키워드
- Human-Robot Interaction(HRI), Machine Learning Methods, Multimodal dataset, Recognition System, Recognition model, Turn-taking, human communication, humanoid robot NAO, intention recognition, social human-robot interaction, social skills