Bridging the health literacy gap through AI chatbot design: the impact of gender and doctor cues on chatbot trust and acceptance

IF 5.9 3区 管理学 Q1 BUSINESS
Eunjoo Jin, Yuhosua Ryoo, WooJin Kim, Y. Greg Song
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引用次数: 0

Abstract

Purpose

Notwithstanding their potential benefits especially for individuals with low health literacy, users are still somewhat skeptical about the reliability of healthcare chatbots. The present study aims to address this challenge by investigating strategies to enhance users’ cognitive and emotional trust in healthcare chatbots. Particularly, this study aims to understand the effects of chatbot design cues in increasing trust and future chatbot use intention for low health literacy users.

Design/methodology/approach

We conducted two experimental studies with a final sample of 327 (Study 1) and 241 (Study 2). Three different chatbots were developed (Chatbot design: Bot vs Male-doctor vs Female-doctor). Participants were asked to have a medical consultation with the chatbot. Participants self-reported their health literacy scores. The PROCESS model 7 was used to analyze the hypotheses.

Findings

The results showed that the female-doctor cues elicited greater cognitive and emotional trust, whereas the male-doctor cues only led to greater cognitive trust (vs bot-like cues). Importantly, this study found that users’ health literacy is a significant moderating factor in shaping cognitive and emotional trust. The results indicated that both the female and male-doctor cues’ positive effects on cognitive trust were significant for those with lower levels of health literacy. Furthermore, the positive effect of the female-doctor cues on emotional trust was also significant only for those whose health literacy level was low. The increased cognitive and emotional trust led to greater future intention to use the chatbot, confirming significant moderated mediation effects.

Originality/value

Despite the strong economic and educational benefits of healthcare chatbots for low health literacy users, studies examining how healthcare chatbot design cues affect low health literate users surprisingly remained scarce. The results of this study suggest that healthcare chatbots can be a promising technological intervention to narrow the health literacy gap when aligned with appropriate design cues.

通过人工智能聊天机器人设计缩小健康知识差距:性别和医生线索对聊天机器人信任度和接受度的影响
目的尽管医疗聊天机器人具有潜在的益处,特别是对于健康知识水平较低的人来说,但用户对其可靠性仍持怀疑态度。本研究旨在通过研究提高用户对医疗聊天机器人的认知和情感信任的策略来应对这一挑战。特别是,本研究旨在了解聊天机器人设计线索对提高低健康素养用户的信任度和未来聊天机器人使用意向的影响。设计/方法/途径我们进行了两项实验研究,最终样本分别为 327 人(研究 1)和 241 人(研究 2)。我们开发了三种不同的聊天机器人(聊天机器人设计:机器人 vs 男医生 vs 女医生)。参与者被要求与聊天机器人进行医疗咨询。参与者自我报告其健康素养得分。研究结果表明,女医生的提示引起了更大的认知信任和情感信任,而男医生的提示只引起了更大的认知信任(与机器人的提示相比)。重要的是,这项研究发现,用户的健康素养是影响认知信任和情感信任的一个重要调节因素。结果表明,对于健康素养水平较低的人来说,女性和男性医生线索对认知信任的积极影响都是显著的。此外,女性医生线索对情感信任的积极影响也只对健康素养水平较低的人群显著。认知信任和情感信任的增加导致未来使用聊天机器人的意向增加,证实了显著的调节中介效应。原创性/价值尽管医疗聊天机器人对健康素养较低的用户有很大的经济和教育益处,但研究医疗聊天机器人设计线索如何影响健康素养较低的用户的研究仍然很少,令人惊讶。本研究的结果表明,如果配合适当的设计线索,医疗聊天机器人可以成为缩小健康素养差距的一种很有前景的技术干预措施。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Internet Research
Internet Research 工程技术-电信学
CiteScore
11.20
自引率
10.20%
发文量
85
审稿时长
>12 weeks
期刊介绍: This wide-ranging interdisciplinary journal looks at the social, ethical, economic and political implications of the internet. Recent issues have focused on online and mobile gaming, the sharing economy, and the dark side of social media.
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