BROWSE
Detail
Conference Paper
Turn-Taking Intention Recognition Using Multimodal Cues in Social Human-Robot Interaction
Cited 3 time in 
Share 
Share
- Authors
- Cheonshu Park, Jaehong Kim, Ji-Hoon Kang
- Issue Date
- 2017-10
- Citation
- International Conference on Control, Automation and Systems (ICCAS) 2017, pp.1300-1302
- Publisher
- IEEE
- Language
- English
- Type
- Conference Paper
- Abstract
- 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 Keywords
- Human robot interaction(HRI), Intention recognition, Machine Learning Methods, Multimodal dataset, Recognition model, Recognition system, Social Human-Robot Interaction, Turn-taking, human communication, humanoid robot NAO, social skills