DocumentCode :
2596974
Title :
“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
Link To Document :
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