Judging by the Look: The Impact of Robot Gaze Strategies on Human Cooperation

Di Fu , Fares Abawi , Erik Strahl , Stefan Wermter
RO-MAN 2022 Workshop on Machine Learning for HRI: Bridging the Gap between Action and Perception, doi: 10.48550/arXiv.2208.11647 - Aug 2022
Associated documents :  
Human eye gaze plays an important role in delivering information, communicating intent, and understanding others’ mental states. Previous research shows that a robot’s gaze can also affect humans’ decision-making and strategy during an interaction. However, limited studies have trained humanoid robots on gaze-based data in human-robot interaction scenarios. Considering gaze impacts the naturalness of social exchanges and alters the decision process of an observer, it should be regarded as a crucial component in human- robot interaction. To investigate the impact of robot gaze on humans, we propose an embodied neural model for performing human-like gaze shifts. This is achieved by extending a social attention model and training it on eye-tracking data, collected by watching humans playing a game. We will compare human behavioral performances in the presence of a robot adopting different gaze strategies in a human-human cooperation game.

 

@InProceedings{FASW22, 
 	 author =  {Fu, Di and Abawi, Fares and Strahl, Erik and Wermter, Stefan},  
 	 title = {Judging by the Look: The Impact of Robot Gaze Strategies on Human Cooperation}, 
 	 booktitle = {RO-MAN 2022 Workshop on Machine Learning for HRI: Bridging the Gap between Action and Perception},
 	 editors = {},
 	 number = {},
 	 volume = {},
 	 pages = {},
 	 year = {2022},
 	 month = {Aug},
 	 publisher = {},
 	 doi = {10.48550/arXiv.2208.11647}, 
 }