Evidence map›Paper›PMID 41987327›Full record

ArticleBMC psychology2026

Explore factors affecting students' acceptance of AI resurrection and ethical dilemmas in AI resurrection technology among Chinese college students: a cross-sectional study.

Nini Cheng, Weitao Huang, Mei Sun

Abstract read
In one paragraph

Article in BMC psychology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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

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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

3 authors.

Nini ChengXiangya School of Nursing, Central South University, No. 172 Tongzipo Road, Changsha, Hunan, 410013, P.R. China.ORCID http://orcid.org/0009-0007-4902-5857
Weitao HuangSchool of Marxism, Central South University, Lushan South Road, Changsha, Hunan, 410083, P.R. China. weitaohuang@csu.edu.cn.ORCID http://orcid.org/0009-0005-3186-5618
Mei SunXiangya School of Nursing, Central South University, No. 172 Tongzipo Road, Changsha, Hunan, 410013, P.R. China. sunmei@csu.edu.cn.ORCID http://orcid.org/0000-0001-5341-0845

Funding

Central South University 2025YJSKS001Hunan Provincial Philosophy and Social Science Foundation 22YBQ006
6 · The paper itself

Abstract

backgroundAdvances in artificial intelligence (AI) have brought AI resurrection, the digital reconstruction of the deceased closer to reality. Understanding the psychological factors associated with acceptance of this technology is essential for informing its ethical and educational implications.

methodsThis cross–sectional study investigated Chinese college students’ acceptance of AI resurrection and examined demographic, death-related background factors, and AI-related predictors. A total of 990 valid responses were collected through an online self-administered questionnaire (Cronbach’s α = 0.799). Spearman’s correlation and multinomial logistic regression analyses were conducted to examine associations between variables and acceptance levels across five hypothetical scenarios.

resultsHigher AI engagement and stronger perceived harm predictability were positively associated with acceptance of AI resurrection technologies, whereas fear of AI demonstrated scenario–dependent effects. Participants who had experienced the death of loved ones or studied medicine showed greater acceptance. Nearly half of the respondents (47.9%) believed that both the deceased’s and family’s wishes should be considered in resurrection decisions.

conclusionsCognitive and affective factors were associated with individuals’ acceptance of AI resurrection technologies. These findings contribute to understanding human-AI interaction in existential contexts and emphasize the importance of consent and data protection in future applications.

Indexed as

Artificial IntelligenceAttitude to ComputersStudentsAdolescentAdultAttitude to DeathChinaCross-Sectional StudiesEthical DilemmasFemaleHumansMaleSurveys and QuestionnairesUniversitiesYoung AdultAI fearAI resurrectionChinese college studentsDeath-related attitudesHarm predictabilityHuman-technology interactionPsychological acceptance

Identifiers

PMID41987327
PMCPMC13217779

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LicenceCC BY-NC-ND
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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.