“Good robot”, “bad robot” —Analyzing users’ feedback in a human-robot teaching task

Author

Austermann, Anja ; Yamada, Seiji

Author_Institution

Grad. Univ. for Adv. Studies, Tokyo

fYear

2008

fDate

1-3 Aug. 2008

Firstpage

41

Lastpage

46

Abstract

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.

Keywords

feedback; gesture recognition; intelligent robots; learning (artificial intelligence); man-machine systems; mobile robots; speech-based user interfaces; teaching; touch (physiological); AIBO pet robot; game-based task teaching; human reward behavior; human-robot interaction; human-robot teaching task; reinforcement learning; user multimodal negative feedback; user multimodal positive feedback; Education; Educational robots; Hidden Markov models; Human robot interaction; Informatics; Learning; Negative feedback; Positron emission tomography; Robotics and automation; Speech analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

Robot and Human Interactive Communication, 2008. RO-MAN 2008. The 17th IEEE International Symposium on

Conference_Location

Munich

Print_ISBN

978-1-4244-2212-8

Electronic_ISBN

978-1-4244-2213-5

Type

conf

DOI

10.1109/ROMAN.2008.4600641

Filename

4600641