A4 Refereed article in a conference publication
Exploring the Impacts of AI-Based Physical Robots on Human Well-Being
Authors: Huang, Rong; Li, Hongxiu; Suomi, Reima
Editors: van de Wetering, Rogier; Helms, Remko; Roelens, Ben; Bagheri, Samaneh; Dwivedi, Yogesh K.; Pappas, Ilias O.; Mäntymäki, Matti
Conference name: IFIP Conference e-Business, e-Services, and e-Society
Publisher: Springer Science and Business Media Deutschland GmbH
Publication year: 2024
Journal: Lecture Notes in Computer Science
Book title : Disruptive Innovation in a Digitally Connected Healthy World: 23rd IFIP WG 6.11 Conference on e-Business, e-Services and e-Society, I3E 2024, Heerlen, The Netherlands, September 11–13, 2024, Proceedings
Journal name in source: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume: 14907
First page : 41
Last page: 52
ISBN: 978-3-031-72233-2
eISBN: 978-3-031-72234-9
ISSN: 0302-9743
eISSN: 1611-3349
DOI: https://doi.org/10.1007/978-3-031-72234-9_4
Web address : https://doi.org/10.1007/978-3-031-72234-9_4
With the advance of artificial intelligence (AI), AI-based physical robots have emerged as new tools to enhance human well-being in daily life. While previous studies have assessed the effectiveness of robots in healthcare organizations and explored user attitudes and effects in experimental settings, there remains a lack of research on their impact on individual well-being in daily life. This paper seeks to bridge this gap by analyzing user experiences with LOVOT, a physical robot designed to provide emotional support and companionship for individuals in daily life. After analyzing user reviews of LOVOT from two social media platforms, X and RED, we identified four positive themes related to the impact of LOVOT on user well-being: positive emotions, engagement, intimate bonding, and life satisfaction. Additionally, we developed a framework tracing the progression from human-robot inter-actions to the resultant emotional and social impacts, culminating in life satisfaction as an overall measure of well-being. These findings illustrate the holistic impacts of the interactions between humans and AI-based physical robots in daily life, revealing how they both contribute to and complicate the pursuit of enhanced human well-being.
Funding information in the publication:
This work was partly supported by the National Social Science Foundation of China under Grant 23CTQ019.
