Evidence map›Paper›PMID 40851834›Full record

ArticleAnnals of neurosciences2025

The Cognitive Cost of AI: How AI Anxiety and Attitudes Influence Decision Fatigue in Daily Technology Use.

Shalu, Nidhi Verma, Kapil Dev, Aradhana Balodi Bhardwaj, Krishan Kumar

Erratum issuedAbstract read
In one paragraph

Article in Annals of neurosciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

ShaluAmity University of Behavioral and Allied Sciences (AIBAS), Amity University Gurugram (Manesar), Haryana, India.ORCID https://orcid.org/0009-0001-4941-0065
Nidhi VermaAmity University of Behavioral and Allied Sciences (AIBAS), Amity University Gurugram (Manesar), Haryana, India.ORCID https://orcid.org/0000-0003-1463-5499
Kapil DevDepartment of Education, CRSU Jind, Haryana, India.
Aradhana Balodi BhardwajDepartment of Psychology, Amity University Dubai, United Arab Emirates.
Krishan KumarPGIMER, Chandigarh, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Artificial intelligence (AI) is increasingly shaping daily decision-making by enhancing efficiency and consistency. However, prolonged AI use may impose cognitive strain, attention depletion, information overload, and decision fatigue. Aim: To investigate the relationships among AI anxiety, attitudes toward AI, cognitive performance, trust in AI, and decision fatigue, particularly emphasising long-term AI interaction. Methods: A structured survey was administered both online and offline to a sample of 500 adults (290 males, 210 females) in the Delhi-NCR region, with a mean age of 24.2 ± 3.4 years. The survey assessed participant's AI anxiety, AI attitude, cognitive skills, decision fatigue, and trust (encompassing reliability, productivity, and user control). Descriptive statistics and Pearson correlation analyses were conducted to explore the relationships between these variables. Result: Participants reported moderately high AI anxiety (mean = 4.62, SD = 1.14) and generally positive attitudes toward AI (mean = 5.01, SD = 1.06). A strong but marginally non-significant correlation ( Conclusion: The integration of AI in task performance resulted in improved efficiency and user confidence; however, prolonged utilisation may precipitate cognitive fatigue, diminished focus, and attenuated user agency. To mitigate these adverse effects, strategic design approaches prioritising user empowerment, transparency, and cognitive facilitation are essential for maximising benefits while upholding mental health and well-being.

Indexed as

AI trustArtificial intelligencecognitive loaddecision fatigueuser autonomy

Identifiers

PMID40851834
PMCPMC12367725

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.