Emotion in robot decision making

Novianto, R; Williams, MA

Emotion in robot decision making

Novianto, R Williams, MA

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Publication Type:: Conference Proceeding
Citation:: Advances in Intelligent Systems and Computing, 2017, 447 pp. 221 - 232
Issue Date:: 2017-01-01

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Field	Value	Language
dc.contributor.author	Novianto, R	en_US
dc.contributor.author	Williams, MA https://orcid.org/0000-0002-1047-0503	en_US
dc.date.issued	2017-01-01	en_US
dc.identifier.citation	Advances in Intelligent Systems and Computing, 2017, 447 pp. 221 - 232	en_US
dc.identifier.isbn	9783319312910	en_US
dc.identifier.issn	2194-5357	en_US
dc.identifier.uri	http://hdl.handle.net/10453/127645
dc.description.abstract	© Springer international publishing switzerland 2017. Social robots are expected to behave in a socially acceptablemanner. They have to accommodate emotions in their decision-makings when dealing with people in social environments. In this paper, we present a novel emotion mechanism that influences decision making and behaviors through attention. We describe its implementation in a cognitive architecture and demonstrate its capability in a robot companion experiment. Results show that the robot can successfully bias its behaviors in order to make users happy. Our proposed emotion mechanism can be used in social robots to predict emotions and bias behaviors in order to improve their performances.	en_US
dc.relation.ispartof	Advances in Intelligent Systems and Computing	en_US
dc.relation.isbasedon	10.1007/978-3-319-31293-4_18	en_US
dc.title	Emotion in robot decision making	en_US
dc.type	Conference Proceeding
utslib.citation.volume	447	en_US
utslib.for	0806 Information Systems	en_US
utslib.for	080101 Adaptive Agents and Intelligent Robotics	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Computer Science
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Software
pubs.organisational-group	/University of Technology Sydney/Strength - CAI - Centre for Artificial Intelligence
utslib.copyright.status	closed_access
pubs.publication-status	Published	en_US
pubs.volume	447	en_US

Abstract:

© Springer international publishing switzerland 2017. Social robots are expected to behave in a socially acceptablemanner. They have to accommodate emotions in their decision-makings when dealing with people in social environments. In this paper, we present a novel emotion mechanism that influences decision making and behaviors through attention. We describe its implementation in a cognitive architecture and demonstrate its capability in a robot companion experiment. Results show that the robot can successfully bias its behaviors in order to make users happy. Our proposed emotion mechanism can be used in social robots to predict emotions and bias behaviors in order to improve their performances.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/127645