This paper describes an experimental study in which we analyze how users give multimodal positive and negative feedback by speech, gesture and touch when teaching easy game-tasks to a pet robot. The tasks are designed to allow the robot to freely explore and provoke human reward behavior. By choosing game-based tasks, we ensure that the training can be carried out without stressing or boring the user. This way, we can observe natural, situated reward behavior.
['Anja Austermann', 'Seiji Yamada']
“Good robot”, “bad robot” —Analyzing users’ feedback in a human-robot teaching task