Evidence map›Paper›PMID 42651447›Full record

ArticleBehavioral sciences (Basel, Switzerland)2026

AI Chatbot Anthropomorphism and Consumer Decision-Making: A Dual-Pathway Calibration Model.

Qin Zhang, Firdaus Abdullah

Abstract read
In one paragraph

Article in Behavioral sciences (Basel, Switzerland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Qin ZhangFaculty of Business and Management, Universiti Teknologi MARA (UiTM), Shah Alam 40450, Selangor, Malaysia.ORCID 0009-0007-8278-9883
Firdaus AbdullahFaculty of Business and Management, Universiti Teknologi MARA (UiTM) Cawangan Sarawak, Kota Samarahan 94300, Sarawak, Malaysia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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 metacognitive calibration, regulatory focus, and perceived autonomy as boundary conditions. Results revealed that anthropomorphism activates two parallel pathways: (1) a Social Closeness Pathway engaging System 1 processing through reduced psychological distance and enhanced affective trust (indirect effect = 0.18, 95% CI [0.13, 0.24]) and (2) a Cognitive Evaluation Pathway triggering System 2 processing through perceived uncertainty when cue inconsistency is present (ηp

Indexed as

anthropomorphismdual-process theoryhuman–AI interactionmetacognitive calibrationregulatory focussocial cognition

Identifiers

PMID42651447
PMCPMC13509328

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.