research-article

Advice from a Doctor or AI? Understanding Willingness to Disclose Information Through Remote Patient Monitoring to Receive Health Advice

Authors:

Batia WiesenfeldAuthors Info & Claims

Proceedings of the ACM on Human-Computer Interaction, Volume 8, Issue CSCW2

Article No.: 386, Pages 1 - 34

https://doi.org/10.1145/3686925

Published: 08 November 2024 Publication History

Abstract

Remote Patient Monitoring (RPM) devices transmit patients' medical indicators (e.g., blood pressure) from the patient's home testing equipment to their healthcare providers, in order to monitor chronic conditions such as hypertension. AI systems have the potential to enhance access to timely medical advice based on the data that RPM devices produce. In this paper, we report on three studies investigating how the severity of users' medical condition (normal vs. high blood pressure), security risk (low vs. modest vs. high risk), and medical advice source (human doctor vs. AI) influence user perceptions of advisor trustworthiness and willingness to disclose RPM-acquired information. We found that trust mediated the relationship between the advice source and users' willingness to disclose health information: users trust doctors more than AI and are more willing to disclose their RPM-acquired health information to a more trusted advice source. However, we unexpectedly discovered that conditional on trust, users disclose RPM-acquired information more readily to AI than to doctors. We observed that the advice source did not influence perceptions of security and privacy risks. We conclude by discussing how our findings can support the design of RPM applications.

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Cited By

Mendel TSingh NMann DWiesenfeld BNov O(2025)Laypeople’s Use of and Attitudes Toward Large Language Models and Search Engines for Health Queries: Survey StudyJournal of Medical Internet Research10.2196/6429027(e64290)Online publication date: 13-Feb-2025
https://doi.org/10.2196/64290

Index Terms

Advice from a Doctor or AI? Understanding Willingness to Disclose Information Through Remote Patient Monitoring to Receive Health Advice
1. Human-centered computing
  1. Human computer interaction (HCI)
    1. Empirical studies in HCI
  2. Ubiquitous and mobile computing
    1. Empirical studies in ubiquitous and mobile computing

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cover image Proceedings of the ACM on Human-Computer Interaction

Proceedings of the ACM on Human-Computer Interaction Volume 8, Issue CSCW2

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November 2024

5177 pages

EISSN:2573-0142

DOI:10.1145/3703902

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Published: 08 November 2024

Published in PACMHCI Volume 8, Issue CSCW2

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Mendel TSingh NMann DWiesenfeld BNov O(2025)Laypeople’s Use of and Attitudes Toward Large Language Models and Search Engines for Health Queries: Survey StudyJournal of Medical Internet Research10.2196/6429027(e64290)Online publication date: 13-Feb-2025
https://doi.org/10.2196/64290

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