Evidence map›Paper›PMID 42726769›Full record

ArticlePloS one2026

Mechanism of AI chatbot anthropomorphism on consumer impulse buying in live streaming scenarios based on SOR framework.

Jingqi Huang, Wasim Ahmad

Abstract read
In one paragraph

Article in PloS one, 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.

Jingqi HuangUCSI Graduate Business School, UCSI University, Malaysia.
Wasim AhmadUCSI Graduate Business School, UCSI University, Malaysia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As artificial intelligence (AI) is integrated into real-time e-commerce, it is necessary to study how AI virtual hosts affect consumers' immediate purchase decisions. This research is based on the Stimulus-Organism-Response (S-O-R) framework and explores the psychological mechanism by which the characteristics of AI hosts influence impulsive purchases. The scenario-based experiments show that AI anthropomorphism (ANT) and social conversation cues (SCC) affect impulsive purchases through two mediating states: cognitive trust and emotional arousal. The results indicate that the association between SCC and trust and arousal is stronger than that of visual anthropomorphism, and multiple group analyses show that this mechanism is roughly consistent across gender groups, but there are differences between the product participation and AI experience groups. This research expands upon previous work by testing visual and verbal anthropomorphic cues as parallel stimuli in live-streaming business, and provides guidance for the design of AI virtual hosts.

Indexed as

Artificial IntelligenceConsumer BehaviorImpulsive BehaviorCommerceCuesFemaleHumansMaleTrust

Identifiers

PMID42726769
PMCPMC13567813

What OpenQuestion holds

Textmetadata
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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.