Evidence map›Paper›PMID 40301425›Full record

ArticleScientific reports2025

Human-generative AI collaboration enhances task performance but undermines human's intrinsic motivation.

Suqing Wu, Yukun Liu, Mengqi Ruan, Siyu Chen, Xiao-Yun Xie

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Artificial Intelligence Across the Drug Development Lifecycle.Medical sciences (Basel, Switzerland) · 2026
    Review
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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

5 authors.

Suqing WuSchool of Management, Zhejiang University, 866 Yuhangtang Road, Hangzhou, 310058, People's Republic of China.
Yukun LiuSchool of Management, Zhejiang University, 866 Yuhangtang Road, Hangzhou, 310058, People's Republic of China. liuyukun@zju.edu.cn.
Mengqi RuanSchool of Management, Zhejiang University, 866 Yuhangtang Road, Hangzhou, 310058, People's Republic of China.
Siyu ChenSchool of Management, Zhejiang University, 866 Yuhangtang Road, Hangzhou, 310058, People's Republic of China.
Xiao-Yun XieSchool of Management, Zhejiang University, 866 Yuhangtang Road, Hangzhou, 310058, People's Republic of China.

Funding

Humanities and Social Science Fund of Ministry of Education of China 22YJC630094National Natural Science Foundation of China 72201241National Natural Science Foundation of China 72232009National Natural Science Foundation of China 72302214
6 · The paper itself

Abstract

In a series of four online experimental studies (total N = 3,562), we investigated the performance augmentation effect and psychological deprivation effect of human-generative AI (GenAI) collaboration in professional settings. Our findings consistently demonstrated that collaboration with GenAI enhanced immediate task performance. However, this performance augmentation effect did not persist in subsequent tasks performed independently by humans. Importantly, transitioning from collaboration with GenAI to solo work led to an increased sense of control of human workers, and was also accompanied by significant decreases in intrinsic motivation and increases in feelings of boredom. These results highlight the complex dual effects of human-GenAI collaboration: It enhances immediate task performance but can undermine long-term psychological experiences of human workers.

Indexed as

Artificial IntelligenceCooperative BehaviorMotivationTask Performance and AnalysisAdultFemaleHumansMaleYoung Adult

Identifiers

PMID40301425
PMCPMC12041296

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.