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AI Chatbot Anthropomorphism and Consumer Decision-Making: A Dual-Pathway Calibration Model
- Truvace record
- TRV-2026-2674raw data (JSON)
- Version
- v1Published
- First published
- Evidence type
- Controlled or validated comparison
- Sources
- 1 sourcePeer-reviewed
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Anthropomorphism has shown inconsistent effects on human judgment, yet the underlying cognitive mechanisms remain underspecified. This research develops and tests a Dual-Pathway Calibration Model (DPCM) integrating dual-process theory, construal level theory, metacognition theory, and regulatory focus theory to explain how anthropomorphic cues influence cognitive processing in human–artificial intelligence (AI) interaction. Three experiments (N = 832) manipulated anthropomorphism and cue inconsistency, examining…
The problem
In three online experiments with 832 adults in China, decision outcomes with an AI chatbot adviser followed an inverted U (quadratic b = −0.05, p = 0.001), so maximum humanlike design did not give the best results.
What this doesn’t fix
All three experiments used simulated advisory scenarios with participants recruited online from mainland China, and the inverted-U relationship was framed as an exploratory hypothesis.
Sources
1 on file- Behavioral Sciencesdoi:10.3390/bs16081269
Cite this record
v1Truvace Impact Record TRV-2026-2674, v1: “AI Chatbot Anthropomorphism and Consumer Decision-Making: A Dual-Pathway Calibration Model.” Truvace, 2026-11-12. /record/TRV-2026-2674 (accessed on the day you copy it). sha256 dd879f461bc4baa8…
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