评论:光环效应:医疗聊天机器人用户对信息隐私的看法。

IF 4.5 2区 医学 Q1 GERIATRICS & GERONTOLOGY
Hinpetch Daungsupawong, Viroj Wiwanitkit
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引用次数: 0

摘要

关于“光环效应:医疗聊天机器人用户对信息隐私的感知b[1]”的出版物很有趣。就医疗聊天机器人的隐私态度而言,这项研究很有趣。然而,这种研究方法也有一定的缺点,值得注意。可以提出的一点是,关于聊天机器人用户对隐私的态度的调查是否全面,是否反映了公众的情况。例如,样本量是从大型医疗保健系统中的聊天机器人用户中抽取的,这可能无法准确代表整体公众,特别是老年人。因此,研究结果可能不适用于具有不同医疗保健经历的人。此外,该研究可能无法充分考虑影响消费者对隐私态度的社会经济问题。这项研究在分析教育和种族对隐私态度的影响方面可能也有局限性。调查结果表明,受过高等教育的非西班牙裔黑人用户不太关心隐私,这可能表明在获取信息或数据安全方面的不同体验。本研究提出了一种新颖的方法,使用调查和访谈数据来更深入地了解聊天机器人用户对隐私的态度。值得注意的是,该研究在老年人中观察到一种“光环效应”,他们认为聊天机器人与可靠的医疗系统有关。这值得进一步调查。访谈和调查数据的结合有可能产生更彻底的结果。然而,研究可能需要使用不同的数据来源来证实研究结果。在未来,研究可以扩大对聊天机器人用户情绪的调查,包括来自服务不足社区的用户或有额外健康风险的个人,他们可能与大型卫生系统中的用户有不同的观点。这将提供对隐私问题更全面的理解。此外,对技术使用的长期后果和通过数字平台提供医疗信息的影响进行研究,可以为开发安全可靠的解决方案提供见解。50%的想法,写作,分析,批准。50%的想法,监督,批准。作者声明无利益冲突。本出版物链接到DeCamp和Ellis的相关回复。要查看本文,请访问https://doi.org/10.1111/jgs.19544。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Comment on: The Halo Effect: Perceptions of Information Privacy Among Healthcare Chatbot Users

Comment on: The Halo Effect: Perceptions of Information Privacy Among Healthcare Chatbot Users

The publication on “The Halo Effect: Perceptions of Information Privacy Among Healthcare Chatbot Users [1]” is interesting. This study is intriguing in terms of privacy attitudes concerning healthcare chatbots. However, there are certain drawbacks to the study methods that should be noted. One point that could be raised is whether the poll of chatbot users' attitudes toward privacy is comprehensive and reflective of the general public. For example, the sample size was drawn from chatbot users in a large healthcare system, which may not accurately represent the overall public, particularly older adults. As such, the findings may not be applicable to people with different healthcare experiences.

Additionally, the study may fail to fully account for the socioeconomic issues that influence consumers' attitudes toward privacy. The study may also be limited in its ability to analyze the impact of education and race on privacy attitudes. The findings, which suggest that highly educated and non-Hispanic Black users are less concerned about privacy, may indicate different experiences with access to information or data security.

This study presents a novel approach that uses both survey and interview data to gain a deeper understanding of chatbot users' attitudes toward privacy. Notably, the study observes a “halo effect” among older adults who believe chatbots are linked to reliable healthcare systems. This warrants further investigation. A combination of interviews and survey data has the potential to yield more thorough results. However, research may need to use different data sources to substantiate the findings.

In the future, studies could broaden the survey of chatbot users' sentiments to include users from underserved communities or individuals with additional health risks, who may have different viewpoints than users in larger health systems. This will provide a more comprehensive understanding of privacy concerns. Furthermore, research into the long-term consequences of technology use and the implications of delivering medical information via digital platforms could offer insights into the development of safe and dependable solutions.

H.P. 50% ideas, writing, analyzing, approval. V.W. 50% ideas, supervision, approval.

The authors declare no conflicts of interest.

This publication is linked to a related reply by DeCamp and Ellis. To view this article, visit https://doi.org/10.1111/jgs.19544.

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来源期刊
CiteScore
10.00
自引率
6.30%
发文量
504
审稿时长
3-6 weeks
期刊介绍: Journal of the American Geriatrics Society (JAGS) is the go-to journal for clinical aging research. We provide a diverse, interprofessional community of healthcare professionals with the latest insights on geriatrics education, clinical practice, and public policy—all supporting the high-quality, person-centered care essential to our well-being as we age. Since the publication of our first edition in 1953, JAGS has remained one of the oldest and most impactful journals dedicated exclusively to gerontology and geriatrics.
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