A novel multimodal communication framework using robot partner for aging population

Tang, Dalai and Yusuf, Bakhtiar and Botzheim, János and Kubota, Naoyuki and Chan, Chee Seng (2015) A novel multimodal communication framework using robot partner for aging population. Expert Systems with Applications, 42 (9). pp. 4540-4555. ISSN 0957-4174, DOI https://doi.org/10.1016/j.eswa.2015.01.016.

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Official URL: http://dx.doi.org/10.1016/j.eswa.2015.01.016


In developed country such as Japan, aging has become a serious issue, as there is a disproportionate increasing of elderly population who are no longer able to look after themselves. In order to tackle this issue, we introduce human-friendly robot partner to support the elderly people in their daily life. However, to realize this, it is essential for the robot partner to be able to have a natural communication with the human. This paper proposes a new communication framework between the human and robot partner based on relevance theory as the basis knowledge. The relevance theory is implemented to build mutual cognitive environment between the human and the robot partner, namely as the informationally structured space (ISS). Inside the ISS, robot partner employs both verbal as well as non-verbal communication to understand human. For the verbal communication, Rasmussen's behavior model is implemented as the basis for the conversational system. While for the non-verbal communication, environmental and human state data along with gesture recognition are utilized. These data are used as the perceptual input to compute the robot partner's emotion. Experimental results have shown the effectiveness of our proposed communication framework in establishing natural communication between the human and the robot partner.

Item Type: Article
Funders: MEXT Regional Innovation Strategy Support Program: Greater Tokyo Smart QOL (Quality of Life) Technology Development Region, The Hitachi Research Fellowship, from The Hitachi Scholarship Foundation, Japan, High Impact MoE Grant UM.C/625/1/HIR/MoE/FCSIT/08, H-22001-00-B00008 from the Ministry of Education Malaysia
Uncontrolled Keywords: Human–robot interaction; Robot partner; Intelligent robot; Aging; Gesture recognition
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: Faculty of Computer Science & Information Technology > Department of Artificial Intelligence
Depositing User: Ms. Juhaida Abd Rahim
Date Deposited: 05 Oct 2018 03:07
Last Modified: 05 Oct 2018 03:07
URI: http://eprints.um.edu.my/id/eprint/19600

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