AI aversion or appreciation? A capability–personalization framework and a meta-analytic review.
Sun Yat-sen University · Shenzhen University · +2 more institutions
Abstract
Artificial intelligence (AI) is transforming human life. While some studies find that people prefer humans over AI (AI aversion), others find the opposite (AI appreciation). To reconcile these conflicting findings, we introduce the Capability-Personalization Framework. This theoretical framework posits that when deciding between AI and humans in a context, individuals focus on two dimensions: (a) perceived capability of AI and (b) perceived necessity for personalization. We propose that AI appreciation occurs when (a) AI is perceived as more capable than humans and (b) personalization is perceived as unnecessary in a given decision context, whereas AI aversion occurs when these conditions are not met. Our…
Citation impact
- FWCI
- 25.12
- Percentile
- 100%
- References
- 0
Authors
8Topics & keywords
- Personalization
- Psychology
- Meta-analysis
- Computer science
- Cognitive psychology
- Data science
- World Wide Web
- Medicine
- Reduced inequalities