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主观认知对患者对人工智能药房静脉药物配置服务信任度的影响。

The effect of subjective understanding on patients' trust in AI pharmacy intravenous admixture services.

作者信息

Gong Yongzhi, Tang Xiaofei, Peng Haoyu

机构信息

School of Business Administration, Southwestern University of Finance and Economics, Chengdu, China.

Graduate Institute of Science, University of Peradeniya, Peradeniya, Sri Lanka.

出版信息

Front Psychol. 2024 Sep 5;15:1437915. doi: 10.3389/fpsyg.2024.1437915. eCollection 2024.

DOI:10.3389/fpsyg.2024.1437915
PMID:39301009
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11412255/
Abstract

INTRODUCTION

Medical services are getting automated and intelligent. An emerging medical service is the AI pharmacy intravenous admixture service (PIVAS) that prepares infusions through robots. However, patients may distrust these robots. Therefore, this study aims to investigate the psychological mechanism of patients' trust in AI PIVAS.

METHODS

We conducted one field study and four experimental studies to test our hypotheses. Study 1 and 2 investigated patients' trust of AI PIVAS. Study 3 and 4 examined the effect of subjective understanding on trust in AI PIVAS. Study 5 examined the moderating effect of informed consent.

RESULTS

The results indicated that patients' reluctance to trust AI PIVAS (Studies 1-2) stems from their lack of subjective understanding (Study 3). Particularly, patients have an illusion of understanding humans and difficulty in understanding AI (Study 4). In addition, informed consent emerges as a moderating factor, which improves patients' subjective understanding of AI PIVAS, thereby increasing their trust (Study 5).

DISCUSSION

The study contributes to the literature on algorithm aversion and cognitive psychology by providing insights into the mechanisms and boundary conditions of trust in the context of AI PIVAS. Findings suggest that medical service providers should explain the criteria or process to improve patients' subjective understanding of medical AI, thus increasing the trust in algorithm-based services.

摘要

引言

医疗服务正在变得自动化和智能化。一种新兴的医疗服务是通过机器人来配制输液的人工智能药房静脉药物配置服务（PIVAS）。然而，患者可能不信任这些机器人。因此，本研究旨在探究患者对人工智能PIVAS信任的心理机制。

方法

我们进行了一项实地研究和四项实验研究来检验我们的假设。研究1和2调查了患者对人工智能PIVAS的信任。研究3和4考察了主观理解对人工智能PIVAS信任的影响。研究5考察了知情同意的调节作用。

结果

结果表明，患者不愿信任人工智能PIVAS（研究1 - 2）源于他们缺乏主观理解（研究3）。特别是，患者对人类有理解上的错觉，并且难以理解人工智能（研究4）。此外，知情同意成为一个调节因素，它提高了患者对人工智能PIVAS的主观理解，从而增加了他们的信任（研究5）。

讨论

本研究通过深入了解人工智能PIVAS背景下信任的机制和边界条件，为算法厌恶和认知心理学的文献做出了贡献。研究结果表明，医疗服务提供者应该解释标准或过程，以提高患者对医疗人工智能的主观理解，从而增加对基于算法服务的信任。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6308/11412255/1d31ed0edee4/fpsyg-15-1437915-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6308/11412255/d87a48c05d3e/fpsyg-15-1437915-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6308/11412255/a1101ec05ca5/fpsyg-15-1437915-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6308/11412255/4ce2751d6cce/fpsyg-15-1437915-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6308/11412255/e4f23c7cc323/fpsyg-15-1437915-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6308/11412255/c7379f35ef1f/fpsyg-15-1437915-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6308/11412255/1d31ed0edee4/fpsyg-15-1437915-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6308/11412255/d87a48c05d3e/fpsyg-15-1437915-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6308/11412255/a1101ec05ca5/fpsyg-15-1437915-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6308/11412255/4ce2751d6cce/fpsyg-15-1437915-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6308/11412255/e4f23c7cc323/fpsyg-15-1437915-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6308/11412255/c7379f35ef1f/fpsyg-15-1437915-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6308/11412255/1d31ed0edee4/fpsyg-15-1437915-g006.jpg

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