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  • 1.
    Cooney, Martin
    et al.
    Adv Telecommun Res Inst Int IRC HIL, Keihanna Sci City, Kyoto, Japan.
    Kanda, Takayuki
    Adv Telecommun Res Inst Int IRC HIL, Keihanna Sci City, Kyoto, Japan.
    Alissandrakis, Aris
    Linnaeus University, Faculty of Technology, Department of Media Technology.
    Ishiguro, Hiroshi
    Adv Telecommun Res Inst Int IRC HIL, Keihanna Sci City, Kyoto, Japan.
    Designing Enjoyable Motion-Based Play Interactions with a Small Humanoid Robot2014In: International Journal of Social Robotics, ISSN 1875-4791, E-ISSN 1875-4805, Vol. 6, no 2, p. 173-193Article in journal (Refereed)
    Abstract [en]

    Robots designed to co-exist with humans in domestic and public environments should be capable of interacting with people in an enjoyable fashion in order to be socially accepted. In this research, we seek to set up a small humanoid robot with the capability to provide enjoyment to people who pick up the robot and play with it by hugging, shaking and moving the robot in various ways. Inertial sensors inside a robot can capture how its body is moved when people perform such "full-body gestures". Unclear is how a robot can recognize what people do during play, and how such knowledge can be used to provide enjoyment. People's behavior is complex, and naive designs for a robot's behavior based only on intuitive knowledge from previous designs may lead to failed interactions. To solve these problems, we model people's behavior using typical full-body gestures observed in free interaction trials, and devise an interaction design based on avoiding typical failures observed in play sessions with a naive version of our robot. The interaction design is completed by investigating how a robot can provide "reward" and itself suggest ways to play during an interaction. We then verify experimentally that our design can be used to provide enjoyment during a playful interaction. By describing the process of how a small humanoid robot can be designed to provide enjoyment, we seek to move one step closer to realizing companion robots which can be successfully integrated into human society.

  • 2.
    Jercic, Petar
    et al.
    Blekinge Tekniska Högskola.
    Wen, Wei
    Blekinge Tekniska Högskola.
    Hagelbäck, Johan
    Linnaeus University, Faculty of Technology, Department of Computer Science.
    Sundstedt, Veronica
    Blekinge Tekniska Högskola.
    The Effect of Emotions and Social Behavior on Performance in a Collaborative Serious Game Between Humans and Autonomous Robots2018In: International Journal of Social Robotics, ISSN 1875-4791, E-ISSN 1875-4805, Vol. 10, no 1, p. 115-129Article in journal (Refereed)
    Abstract [en]

    The aim of this paper is to investigate performance in a collaborative human–robot interaction on a shared serious game task. Furthermore, the effect of elicited emotions and perceived social behavior categories on players’ performance will be investigated. The participants collaboratively played a turn-taking version of the Tower of Hanoi serious game, together with the human and robot collaborators. The elicited emotions were analyzed in regards to the arousal and valence variables, computed from the Geneva Emotion Wheel questionnaire. Moreover, the perceived social behavior categories were obtained from analyzing and grouping replies to the Interactive Experiences and Trust and Respect questionnaires. It was found that the results did not show a statistically significant difference in participants’ performance between the human or robot collaborators. Moreover, all of the collaborators elicited similar emotions, where the human collaborator was perceived as more credible and socially present than the robot one. It is suggested that using robot collaborators might be as efficient as using human ones, in the context of serious game collaborative tasks.

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