2023journal article|102 次引用
Consumer–machine relationships in the age of artificial intelligence: Systematic literature review and research directions
Iryna Pentina, Tian Xie, Tyler Hancock, A. Bailey
Psychology & Marketing
通俗摘要
This comprehensive literature review synthesizes 117 studies on how consumers form relationships with AI-powered machines. The review maps the diverse landscape of consumer-AI interactions across chatbots, service robots, and automated advisors. It identifies the main theoretical approaches used to study these relationships and highlights critical gaps in current knowledge. The paper provides a research agenda for understanding how human-machine relationships will evolve as AI becomes more sophisticated.
Key Findings
- A systematic review of 117 studies reveals rapidly growing scholarly interest in consumer-machine relationships
- Consumer-AI relationships span multiple domains including chatbots, service robots, voice assistants, and robo-advisors
- Key theoretical frameworks used include anthropomorphism, uncanny valley, trust, and attachment theories
- The review identifies significant gaps in understanding long-term relationship dynamics and ethical implications
研究领域
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