Cited by 27Human-Automation Interaction and SafetyEthics and Social Impacts of AITechnology Adoption and User Behaviour

Sensemaking with AI: how trust influences human–AI collaboration in health and creative industries

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Daly, Sarah J., Hearn, Greg, Papageorgiou, Kyriaki·2025·Social Sciences & Humanities Open

Abstract

This study investigates how trust influences human-AI collaboration within the health and creative sectors, where attitudes toward AI vary widely due to field-specific challenges and expectations. By comparing perspectives from 285 professionals, including artists and doctors, and through persona narratives , we explore how trust in AI can enhance human potential and encourage adoption. Findings reveal that trust hinges on transparency, contextual understanding, human agency during collaboration, and the user's initial perception of AI. This study contributes to understanding trust as a cornerstone of successful human-AI collaboration, proposing ways to foster trusted AI adoption across diverse professional landscapes.

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Crossref · 10.1016/j.ssaho.2025.101346

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27 of 27 references verified0 citation errors · 0 not checkable

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  • In studies on human-AI co-creation or comparisons between two co-creation types, the need to belong has rarely been directly investigated or has been treated only as a mediating variable.

    “However, in studies on human–AI co-creation or comparisons between two co-creation types, while many have examined social motivational factors such as trust (Daly et al., 2025), empathy (Zhu et al., 2025; Qian and Wan, 2025), reliance (Siemon et al., 2025) and commitment feeling (Wang et al., 2025), the need to belong, although a fundamental social motivation, has rarely been directly investigated”

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Authors
Daly, S. J., Hearn, G., & Papageorgiou, K.
Affiliations
  • Queensland University of Technology (AU)
  • Norwegian University of Science and Technology (NO)
Corresponding author
Daly, Sarah J.
Venue
Social Sciences & Humanities Open
Publisher
Elsevier BV
Published
2025
Volume
11
Pages
101346
ISSN
2590-2911 (ISSN-L)
OpenAlex
W4407732943
Cited by
27
References
27
Citations by year
2026: 16 · 2025: 11
FWCI
29.91
Type
journal article
Language
en
Open access
Locations
  • Social Sciences & Humanities Open (publishedVersion, cc-by)
  • SSRN Electronic Journal (acceptedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Topics
  • Social Sciences › Psychology › Social Psychology › Human-Automation Interaction and Safety
  • Social Sciences › Safety Research › Ethics and Social Impacts of AI
  • Social Sciences › Decision Sciences › Information Systems and Management › Technology Adoption and User Behaviour
Keywords
trust in AI, human-AI collaboration, sensemaking, healthcare workers, creative industries, artists, artificial intelligence adoption, transparency, human agency, perceptions of AI

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