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https://nbn-resolving.org/urn:nbn:de:0168-ssoar-103817-3

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Fine for others but not for me: The role of perspective in patients' perception of artificial intelligence in online medical platforms

[Zeitschriftenartikel]

Hudecek, Matthias
Lermer, Eva
Gaube, Susanne
Cecil, Julia
Heiss, Silke F.
Batz, Falk

Abstract

In the near future, online medical platforms enabled by artificial intelligence (AI) technology will become increasingly more prevalent, allowing patients to use them directly without having to consult a human doctor. However, there is still little research from the patient's perspective on such AI-... mehr

In the near future, online medical platforms enabled by artificial intelligence (AI) technology will become increasingly more prevalent, allowing patients to use them directly without having to consult a human doctor. However, there is still little research from the patient's perspective on such AI-enabled tools. We, therefore, conducted a preregistered 2x3 between-subjects experiment (N = 266) to examine the influence of perspective (oneself vs. average person) and source of advice (AI vs. male physician vs. female physician) on the perception of a medical diagnosis and corresponding treatment recommendations. Results of robust ANOVAs showed a statistically significant interaction between the source of advice and perspective for all three dependent variables (i.e., evaluation of the diagnosis, evaluation of the treatment recommendation, and risk perception). People prefer the advice of human doctors to an AI when it comes to their own situation. In contrast, the participants made no differences between the sources of medical advice when it comes to assessing the situation of an average person. Our study contributes to a better understanding of the patient's perspective of modern digital health technology. As our findings suggest the perception of AI-enabled diagnostic tools is more critical when it comes to oneself, future research should examine the relevant factors that influence this perception.... weniger

Thesaurusschlagwörter
künstliche Intelligenz; Gesundheitswesen; neue Technologie; Digitalisierung; Arzt-Patient-Beziehung; Online-Dienst; Einstellung; Risikoabschätzung

Klassifikation
Wissenschaftssoziologie, Wissenschaftsforschung, Technikforschung, Techniksoziologie

Freie Schlagwörter
Digital health technology; Perspective; Trust in medical services; Online medical platform; Kurzskala Technikbereitschaft (TB, technology commitment) (ZIS244, doi:10.6102/zis244); Deutsches modifiziertes Health Anxiety Inventory (MK-HAI) (ZIS71, doi:10.6102/zis71)

Sprache Dokument
Englisch

Publikationsjahr
2024

Zeitschriftentitel
Computers in Human Behavior: Artificial Humans, 2 (2024) 1

DOI
https://doi.org/10.1016/j.chbah.2024.100046

ISSN
2949-8821

Status
Veröffentlichungsversion; begutachtet (peer reviewed)

Lizenz
Creative Commons - Namensnennung 4.0


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© 2007 - 2025 Social Science Open Access Repository (SSOAR).
Based on DSpace, Copyright (c) 2002-2022, DuraSpace. All rights reserved.