Bendel, Oliver

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Bendel, Oliver

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Autor:in: Bendel, Oliver × Autor:in: Takadama, Keiki × Enddatum: 2023 × Anfangsdatum: 2020 × Item-Typ: Publikation ×

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  • Vorschaubild
    Publikation
    How can bar robots enhance the well-being of guests?
    (AAAI, 2023) Bendel, Oliver; Peier, Lea; Kido, Takashi; Takadama, Keiki [in: Post-event Proceedings of the AAAI Spring Symposium: Socially Responsible AI for Well-being (AAAI-SRAI 2023)]
    This paper addresses the question of how bar robots can contribute to the well-being of guests. It first develops the basics of service robots and social robots. It gives a brief overview of which gastronomy robots are on the market. It then presents examples of bar robots and describes two models used in Switzerland. A research project at the School of Business FHNW collected empirical data on them, which is used for this article. The authors then discuss how the robots could be improved to increase the well-being of customers and guests and better address their individual wishes and requirements. Artificial intelligence can play an important role in this. Finally, ethical and social problems in the use of bar robots are discussed and possible solutions are suggested to counter these.
    04B - Beitrag Konferenzschrift
  • Vorschaubild
    Publikation
    Increasing well-being through robotic hugs
    (2023) Bendel, Oliver; Puljic, Andrea; Heiz, Robin; Tömen, Furkan; De Paola, Ivan; Kido, Takashi; Takadama, Keiki [in: Post-event Proceedings of the AAAI Spring Symposium: Socially Responsible AI for Well-being (AAAI-SRAI 2023)]
    This paper addresses the question of how to increase the acceptability of a robot hug and whether such a hug contributes to well-being. It combines the lead author’s own research with pioneering research by Alexis E. Block and Katherine J. Kuchenbecker. First, the basics of this area are laid out with particular attention to the work of the two scientists. The authors then present HUGGIE Project I, which largely consisted of an online survey with nearly 300 participants, followed by HUGGIE Project II, which involved building a hugging robot and testing it on 136 people. At the end, the results are linked to current research by Block and Kuchenbecker, who have equipped their hugging robot with artificial intelligence to better respond to the needs of subjects.
    04B - Beitrag Konferenzschrift