Honest machines? A cross-disciplinary perspective on trustworthy technology for children
- Author(s)
- Stefanie Hoehl, Brigitte Krenn, Markus Vincze
- Abstract
Humans increasingly interact with social robots and artificial intelligence (AI) powered digital assistants in their daily lives. These machines are usually designed to evoke attributions of social agency and trustworthiness in the human user. Growing research on human-machine-interactions (HMI) shows that young children are highly susceptible to design features suggesting human-like social agency and experience. Older children and adults, in contrast, are less likely to over attribute agency and experience to machines. At the same time, they tend to over-trust machines as informants more than younger children. Based on these findings, we argue that research directly comparing the effects of HMI design features on different age groups, including infants and young children is urgently needed. We call for evidence-based evaluation of HMI design and for consideration of the specific needs and susceptibilities of children when interacting with social robots and AI-based technology.
- Organisation(s)
- Department of Developmental and Educational Psychology, Department of Linguistics
- External organisation(s)
- Austrian Research Institute for Artificial Intelligence (OFAI), Technische Universität Wien
- Journal
- Frontiers in Developmental Psychology
- Volume
- 2
- DOI
- https://doi.org/10.3389/fdpys.2024.1308881
- Publication date
- 2024
- Peer reviewed
- Yes
- Austrian Fields of Science 2012
- 501005 Developmental psychology
- Keywords
- ASJC Scopus subject areas
- Psychiatry and Mental health, Psychology (miscellaneous), Developmental and Educational Psychology, Experimental and Cognitive Psychology
- Sustainable Development Goals
- SDG 3 - Good Health and Well-being
- Portal url
- https://ucrisportal.univie.ac.at/en/publications/210eb7e2-968a-49b4-9cf6-8899a733c41b