Evidence map›Paper›PMID 42792317›Full record

ArticleBehavioral sciences (Basel, Switzerland)2026

Be My Assistant or My Partner? How AI Relational Roles and Goal Distance Impact Consumers' Intentions to Participate in Collective Sustainable Behavior.

Sinan Li, Kai Chen

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
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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.

Sinan LiSchool of Economics and Management, Beijing Forestry University, Beijing 100083, China.
Kai ChenSchool of Economics and Management, Beijing Forestry University, Beijing 100083, China.ORCID 0000-0002-0396-7765

Funding

Major Project of The National Social Science Fund of China 23&ZD096
6 · The paper itself

Abstract

Encouraging broad consumer participation is an important pathway to achieving sustainable development. Current research mostly focuses on individual sustainable behavior, with less attention given to collective sustainable behavior under a shared goal. This work is based on the widespread embedding and use of relational AI in different scenarios, employing three studies to verify how AI relational roles and goal distance jointly influence consumers' participation intention in collective sustainable behavior. The research found that when an assistant-type AI is matched with a large-distance goal, it is more effective in enhancing consumers' participation intentions, whereas a partner-type AI is more persuasive when matched with a small-distance goal. Furthermore, sustainable identity affirmation and positive emotional resonance serve a serial mediating role in the aforementioned interaction effect. This work reveals the matching mechanism between AI relational roles and goal distance, expanding the research perspective of relational AI in promoting sustainable behavior and providing practical insights for leveraging AI to optimize collective sustainable behavior communication strategies.

Indexed as

assistant-type AIcollective sustainable behavioridentity affirmationlarge-distance goalpartner-type AIpositive emotional resonancesmall-distance goal

Identifiers

PMID42792317
PMCPMC13603235

What OpenQuestion holds

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Registered trials

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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.