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Adaptive learning in human–android interactions: an anthropological analysis of play and ritual.
- Source :
-
AI & Society . Aug2024, Vol. 39 Issue 4, p1-11. 11p. - Publication Year :
- 2024
-
Abstract
- Using anthropological theory, this paper examines human–android interactions (HAI) as an emerging aspect of android science. These interactions are described in terms of adaptive learning (which is largely subconscious). This article is based on the observations reported and supplementary data from two studies that took place in Japan with a teleoperated android robot called Telenoid in the socialization of school children and older adults. We argue that interacting with androids brings about a special context, an interval, and a space/time for reflection and imagination that was not there before. During the interaction something happens. There is adaptive learning and as a result, both children and older adults accepted Telenoid, and the children and older adults accepted each other. Using frames of play and ritual, we make sense and 'capture' moments of adaptive learning, and the feedback that elicits a social response from all study participants that results in self-efficacy and socialization. While "ritual" refers to the application of what has been learned and "play" means that there are no obvious consequences of what has been learned. This analysis illuminates new understanding about the uncanny valley, cultural robotics and the therapeutic potential of HAI. This has implications for the acceptance of androids in 'socialized roles' and gives us insight into the subconscious adaptive learning processes that must take place within humans to accept androids into our society. This approach aims to provides a clearer conceptual basis and vocabulary for further research of android and humanoid development. [ABSTRACT FROM AUTHOR]
- Subjects :
- *HUMANOID robots
*ETHNOLOGY
*SCHOOL children
*SOCIETAL reaction
*ANTHROPOLOGY
Subjects
Details
- Language :
- English
- ISSN :
- 09515666
- Volume :
- 39
- Issue :
- 4
- Database :
- Academic Search Index
- Journal :
- AI & Society
- Publication Type :
- Academic Journal
- Accession number :
- 179042114
- Full Text :
- https://doi.org/10.1007/s00146-023-01677-2