Exploiting ability for human adaptation to facilitate improved human-robot interaction and acceptance

Caleb-Solly, Praminda; Dogramadzi, Sanja; Huijnen, Claire A.G.J.; van den Heuvel, Herjan

Abstract

© Praminda Caleb-Solly, Sanja Dogramadzi, Claire A.G.J. Huijnen, and Herjan van den Heuvel. This article reports findings from a usability and user experience evaluations conducted in the last 2 years of a 4-year assistive robotics research project using the Kompai robot. It focuses on the evaluations that were conducted with older adults in an assisted living studio in the United Kingdom (which was arranged as an open plan studio apartment), a UK residential care home, and an older couple’s own home in the Netherlands over 2 days. It examines emergent adaptive human behaviour in human-robot interaction (HRI) to consider whether we are approaching the embodiment and functionality of service robots correctly. It discusses possible improvements that could be made at the systems level that better exploit people’s natural ability to adapt and find workarounds to technologies and their limitations.

Citation

Caleb-Solly, P., Dogramadzi, S., Huijnen, C. A., & van den Heuvel, H. (2018). Exploiting ability for human adaptation to facilitate improved human-robot interaction and acceptance. Information Society, 34(3), 153-165. https://doi.org/10.1080/01972243.2018.1444255

• Journal Article Type: Article
• Acceptance Date: Jan 4, 2018
• Publication Date: May 27, 2018
• Deposit Date: May 1, 2018
• Publicly Available Date: Jul 25, 2018
• Journal: Information Society
• Print ISSN: 0197-2243
• Electronic ISSN: 1087-6537
• Publisher: Taylor & Francis (Routledge)
• Peer Reviewed: Peer Reviewed
• Volume: 34
• Issue: 3
• Pages: 153-165
• DOI: https://doi.org/10.1080/01972243.2018.1444255
• Keywords: assistive robotics, human-robot interaction, usability and user experience evaluation, socially assistive robots
• Public URL: https://uwe-repository.worktribe.com/output/869024
• Publisher URL: http://dx.doi.org/10.1080/01972243.2018.1444255
• Additional Information: Additional Information : This is an Accepted Manuscript of an article published by Taylor & Francis in The Information Society on 26th April 2018, available online: http://dx.doi.org/10.1080/01972243.2018.1444255.