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  • Motivational Emotion Generation and Behavior Selection based on Emotional Experiences for Social Robots

    Won Hyong Lee Jeong Woo Park Woo Hyun Kim Hui Sung Lee Dong-Soo Kwon Myung Jin Chung

    Chapter from the book: International Conference in Social Robotics, . 2014. Workshops in International Conference on Social Robotics.

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    As the number of social and psychological service robots increase, many robots which have emotions have been developed. In order to implement an emotion generation model, the authors of this paper suggest to employ the unified motivation theory which is proposed by Higgins. In addition, a behavior selection model based on emotional experience is suggested. A joint attention scenario is suggested in which a human and a robot play a 2048 game together with a follow-up interaction. A preliminary pilot test was conducted to examine the proposed method and it performed properly as intended. Finally, further experiment plans and expectations are discussed.

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    How to cite this chapter
    Lee, W et al. 2014. Motivational Emotion Generation and Behavior Selection based on Emotional Experiences for Social Robots. In: International Conference in Social Robotics, (ed.), Workshops in International Conference on Social Robotics. Sydney: University of Technology Sydney ePress. DOI: https://doi.org/10.5130/aad.b
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    This is an Open Access chapter distributed under the terms of the Creative Commons Attribution 4.0 license (unless stated otherwise), which permits unrestricted use, distribution and reproduction in any medium, provided the original work is properly cited. Copyright is retained by the author(s).

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    Additional Information

    Published on Jan. 1, 2014

    DOI
    https://doi.org/10.5130/aad.b


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