Affiliation:
1. Institute for Informatics, LMU Munich, Frauenlobstr. 7a, 80337 Munich, Germany
2. School of Computation, Information and Technology and Munich Institute of Robotics and Machine Intelligence (MIRMI), Technical University of Munich (TUM), Boltzmannstrasse 3, 85748 Garching, Germany
Abstract
Recent technological advances have enabled the development of sophisticated prosthetic hands, which can help their users to compensate lost motor functions. While research and development has mostly addressed the functional requirements and needs of users of these prostheses, their broader societal perception (e.g., by external observers not affected by limb loss themselves) has not yet been thoroughly explored. To fill this gap, we investigated how the physical design of artificial hands influences the perception by external observers. First, we conducted an online study (n = 42) to explore the emotional response of observers toward three different types of artificial hands. Then, we conducted a lab study (n = 14) to examine the influence of design factors and depth of interaction on perceived trust and usability. Our findings indicate that some design factors directly impact the trust individuals place in the system’s capabilities. Furthermore, engaging in deeper physical interactions leads to a more profound understanding of the underlying technology. Thus, our study shows the crucial role of the design features and interaction in shaping the emotions around, trust in, and perceived usability of artificial hands. These factors ultimately impact the overall perception of prosthetic systems and, hence, the acceptance of these technologies in society.
Funder
Federal Ministry of Education and Research
Subject
Computer Networks and Communications,Computer Science Applications,Human-Computer Interaction,Neuroscience (miscellaneous)
Reference53 articles.
1. Socially assistive robots: The specific case of the NAO;Robaczewski;Int. J. Soc. Robot.,2021
2. Kwon, M., Huang, S.H., and Dragan, A.D. (2018, January 5–8). Expressing Robot Incapability. Proceedings of the 2018 ACM/IEEE International Conference on Human-Robot Interaction (HRI ‘18), Chicago, IL, USA.
3. Success factors for introducing industrial human-robot interaction in practice: An empirically driven framework;Kopp;Int. J. Adv. Manuf. Technol.,2021
4. Goetz, J., Kiesler, S., and Powers, A. (2003, January 2). Matching robot appearance and behavior to tasks to improve human-robot cooperation. Proceedings of the 12th IEEE International Workshop on Robot and Human Interactive Communication (ROMAN 2003), Millbrae, CA, USA.
5. A Picture is Worth a Thousand Mental Models: Evaluating Human Understanding of Robot Teammates;Ososky;Proc. Hum. Factors Ergon. Soc. Annu. Meet.,2013
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