A4 Refereed article in a conference publication
Classification of Healthcare Robots
Authors: Huang Rong
Editors: Hongxiu Li, Maedeh Ghorbanian Zolbin, Robert Krimmer, Jukka Kärkkäinen, Chenglong Li, Reima Suomi
Conference name: International Conference on Well-Being in the Information Society
Publisher: Springer Science and Business Media Deutschland GmbH
Publishing place: Cham
Publication year: 2022
Journal: Communications in Computer and Information Science
Book title : Well-Being in the Information Society: When the Mind Breaks: 9th International Conference, WIS 2022, Turku, Finland, August 25–26, 2022, Proceedings
Journal name in source: Communications in Computer and Information Science
Series title: Communications in Computer and Information Science
Volume: 1626
First page : 115
Last page: 123
ISBN: 978-3-031-14831-6
eISBN: 978-3-031-14832-3
ISSN: 1865-0929
DOI: https://doi.org/10.1007/978-3-031-14832-3_8
Web address : https://link.springer.com/chapter/10.1007/978-3-031-14832-3_8
Self-archived copy’s web address: https://research.utu.fi/converis/portal/detail/Publication/176487951
With the advancement of artificial intelligence, robots have entered the healthcare field and provided various intelligent services. Compared to the growing number of use cases for healthcare robots, conceptual, and theoretical research on healthcare robots is still in its infancy. There is a need to explore how healthcare robots play different roles in society with the improvement of AI technology. To fill in this research gap, we provide a conceptualization of healthcare robots and a summary of main categories of healthcare robots in previous research. This study provides a classification of healthcare robots according to their service roles and discusses their differences in different dimensions, including appearance, presence, AI and automation ability, and social ability. Finally, we propose future research directions based on the discussion to provide insights into the conceptualization of healthcare robots. This study contributes to IS literature by providing a comprehensive knowledge base for further theory-building processes of AI-based healthcare robots and providing design guidance to robotic designers in specific healthcare fields.
Downloadable publication This is an electronic reprint of the original article. |