DocumentCode :
2529307
Title :
Reciprocal-adaptation in a creature-based futuristic sociable dining table
Author :
Kado, Yuki ; Kamoda, Takanori ; Yoshiike, Yuta ; De Silva, P. Ravindra S ; Okada, Michio
Author_Institution :
Interactions & Commun. Design Lab., Toyohashi Univ. of Technol., Toyohashi, Japan
fYear :
2010
fDate :
13-15 Sept. 2010
Firstpage :
803
Lastpage :
808
Abstract :
In this paper, a creature-based futuristic sociable dining table is proposed that communicates through a knock on a table. The main objective was to create a minimal number of cues for protocol communication for the purpose of establishing social interactions between a creature and a human. The creature uses a knock (within a specific period) with a Temporal Difference (TD) learning model to learn and to adapt to a user´s intentions, and the creature moves a different direction (right, left, straight, and back) on a table based on the user´s knock. By ascertaining the creatures´ behaviors, the user can convey his/her intentions by a number of knocking sounds while looking at the creature adaption. The creature is capable of doing mutually adaptive learning through a TD model in real time to satisfy the user´s goal or intentions. In the context of the experimental results, we discuss the concept of creatures and indicate the effectiveness of the communication-protocol with the “knocking” interface for reciprocal adaptations.
Keywords :
human-robot interaction; learning (artificial intelligence); protocols; social aspects of automation; TD learning model; creature-based futuristic sociable dining table; human-robot interaction; knocking interface; protocol communication; reciprocal-adaptation; sociable robots; temporal difference learning model; Adaptation model; Computers; Context; Humans; Protocols; Robots; Shape;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
RO-MAN, 2010 IEEE
Conference_Location :
Viareggio
ISSN :
1944-9445
Print_ISBN :
978-1-4244-7991-7
Type :
conf
DOI :
10.1109/ROMAN.2010.5598727
Filename :
5598727
Link To Document :
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