How does the anthropomorphism of AI chatbots facilitate users' reuse intention in online health consultation services? The moderating role of disease severity

IF 13.3 1区 管理学 Q1 BUSINESS Technological Forecasting and Social Change Pub Date : 2024-04-23 DOI:10.1016/j.techfore.2024.123407
Wenlong Liu , Min Jiang , Wangjie Li , Jian Mou
{"title":"How does the anthropomorphism of AI chatbots facilitate users' reuse intention in online health consultation services? The moderating role of disease severity","authors":"Wenlong Liu ,&nbsp;Min Jiang ,&nbsp;Wangjie Li ,&nbsp;Jian Mou","doi":"10.1016/j.techfore.2024.123407","DOIUrl":null,"url":null,"abstract":"<div><p>This study aims to ascertain the significance of the anthropomorphic features of AI chatbots in online health consultation (OHC) services. A conceptual model drawing on social presence theory was developed to interpret the paths through which the anthropomorphic features of AI chatbots influence users' intentions to reuse OHC services. A total of 502 valid responses were collected through an experimental survey and analyzed using structural equation modeling. The results suggest that all the proposed anthropomorphic features of AI chatbots can enhance users perceived social presence and facilitate their communication quality with and trust in AI chatbots directly and/or indirectly, eventually leading to a high intention to reuse OHC services. In addition, the influence of perceived social presence on trust and communication quality was more significant for those experiencing relatively mild symptoms of the disease than for those experiencing intense symptoms. This study contributes by proposing a framework from the perspective of anthropomorphism and social presence to understand users' behavioral intentions in the OHC context. The findings of the empirical analysis have key implications for the improvement of OHC services.</p></div>","PeriodicalId":48454,"journal":{"name":"Technological Forecasting and Social Change","volume":"203 ","pages":"Article 123407"},"PeriodicalIF":13.3000,"publicationDate":"2024-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Technological Forecasting and Social Change","FirstCategoryId":"91","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0040162524002038","RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"BUSINESS","Score":null,"Total":0}
引用次数: 0

Abstract

This study aims to ascertain the significance of the anthropomorphic features of AI chatbots in online health consultation (OHC) services. A conceptual model drawing on social presence theory was developed to interpret the paths through which the anthropomorphic features of AI chatbots influence users' intentions to reuse OHC services. A total of 502 valid responses were collected through an experimental survey and analyzed using structural equation modeling. The results suggest that all the proposed anthropomorphic features of AI chatbots can enhance users perceived social presence and facilitate their communication quality with and trust in AI chatbots directly and/or indirectly, eventually leading to a high intention to reuse OHC services. In addition, the influence of perceived social presence on trust and communication quality was more significant for those experiencing relatively mild symptoms of the disease than for those experiencing intense symptoms. This study contributes by proposing a framework from the perspective of anthropomorphism and social presence to understand users' behavioral intentions in the OHC context. The findings of the empirical analysis have key implications for the improvement of OHC services.

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
人工智能聊天机器人的拟人化如何促进用户在在线健康咨询服务中的重用意向?疾病严重程度的调节作用
本研究旨在确定在线健康咨询(OHC)服务中人工智能聊天机器人拟人化特征的意义。研究借鉴社会存在理论建立了一个概念模型,以解释人工智能聊天机器人的拟人化特征影响用户重用在线健康咨询服务意愿的路径。通过实验调查共收集了 502 份有效回复,并使用结构方程模型进行了分析。结果表明,所有提出的人工智能聊天机器人拟人化特征都能增强用户的社会存在感,直接和/或间接地促进他们与人工智能聊天机器人的交流质量和对人工智能聊天机器人的信任,最终导致用户重用OHC服务的高意愿。此外,感知到的社交存在对信任和交流质量的影响对于那些症状相对较轻的患者来说比症状较重的患者更为显著。本研究从拟人化和社会存在的角度提出了一个框架,用于理解用户在户外医疗服务中的行为意图。实证分析的结果对改善户外医疗服务具有重要意义。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
CiteScore
21.30
自引率
10.80%
发文量
813
期刊介绍: Technological Forecasting and Social Change is a prominent platform for individuals engaged in the methodology and application of technological forecasting and future studies as planning tools, exploring the interconnectedness of social, environmental, and technological factors. In addition to serving as a key forum for these discussions, we offer numerous benefits for authors, including complimentary PDFs, a generous copyright policy, exclusive discounts on Elsevier publications, and more.
期刊最新文献
A data-driven framework for new product development: Integrating QFD and FCM based on online customer reviews A structural-evolutionary rationale for public support of private technological innovation Interdisciplinary research and technological change The role of environmental taxes in promoting sustainable utilization of disaggregated natural resources toward global greening: A novel dynamic ARDL simulation approach Evaluating the use of structural equation modeling in online purchase intention research: A comprehensive review (2000−2023)
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1