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Reframing HRI Design Opportunities for Social Robots: Lessons Learnt from a Service Robotics Case Study Approach Using UX for HRI

Author

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  • Sara Khan

    (Department of Architecture and Design, Politecnico di Torino, Corso Duca degli Abruzzi 24, 10129 Turin, Italy)

  • Claudio Germak

    (Department of Architecture and Design, Politecnico di Torino, Corso Duca degli Abruzzi 24, 10129 Turin, Italy)

Abstract

Over the last few decades, semi-autonomous machine’s technology started to promote awareness towards the importance of human–robot interaction (HRI) for improving daily activities. More affordable social robots are being commercially released and in order to implement viable applications of HRI, a combination human-computer interaction and user experience methodologies could play a pivotal role in assessing new scenarios and evaluating new investigations. However, literature shows that it is still challenging to reach an optimal user experience with robotic companions. The aim of the study was to determine the chance to enhance the user experience with a semi-autonomous social robot, using user experience and human–computer interaction methodologies. In this study, a social robotic companion has been developed and prototyped in order to be adopted in a specific public environment such as a company workspace. The challenges emerged from this peculiar environment triggered the need for a more productive and comfortable office for the employees, and, at the same time, the usability, acceptance and likeability of the robotic companion have been evaluated. The results emphasize that, since HRI is highly interdisciplinary, the benefits of combining approaches from other fields could positively benefit from a meaningful social interaction with the users.

Suggested Citation

  • Sara Khan & Claudio Germak, 2018. "Reframing HRI Design Opportunities for Social Robots: Lessons Learnt from a Service Robotics Case Study Approach Using UX for HRI," Future Internet, MDPI, vol. 10(10), pages 1-22, October.
    • Handle: RePEc:gam:jftint:v:10:y:2018:i:10:p:101-:d:174530
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    References listed on IDEAS

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    1. Maria Luce Lupetti & Yuan Yao & Haipeng Mi & Claudio Germak, 2017. "Design for Children’s Playful Learning with Robots," Future Internet, MDPI, vol. 9(3), pages 1-20, September.
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    Cited by:

    1. Xipei Ren & Zhifan Guo & Aobo Huang & Yuying Li & Xinyi Xu & Xiaoyu Zhang, 2022. "Effects of Social Robotics in Promoting Physical Activity in the Shared Workspace," Sustainability, MDPI, vol. 14(7), pages 1-13, March.

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