{"title":"了解虚拟医疗咨询系统的采用意向:对 ChatGPT 的看法和对医生的满意度","authors":"Di Zhang, Xiaoman Zhao","doi":"10.1016/j.chb.2024.108359","DOIUrl":null,"url":null,"abstract":"<div><p>This study examined the impact of perceptions of ChatGPT, the leading AI chatbot since November 2022, on the acceptance and perceived efficacy of future GPT-powered virtual medical consultation systems (GPT-VMCSs), as well as their influence on the propensity to adopt such systems amid debates over their suitability for medical consultations. By utilizing the technology acceptance model (TAM), this study differentiated between perceptions of ChatGPT and GPT-VMCS by assessing how these perceptions, along with doctor satisfaction, resistance, and ChatGPT usage, affect adoption intentions. Among the 2150 participants from 21 countries, 1038 who had used ChatGPT or observed its use were selected for hypothesis testing. The results indicated that the perceived usefulness (PU) of the GPT-VMCS was the strongest predictor of adoption intentions, with the perceived ease of use (PEOU) also playing a critical role. In contrast, resistance, which was positively influenced by doctor satisfaction, was negatively associated with adoption intentions. The quality of ChatGPT responses was positively correlated with GPT-VMCS PU, although direct usage of ChatGPT did not significantly affect adoption intentions. The study concludes with a discussion of both theoretical and practical implications.</p></div>","PeriodicalId":48471,"journal":{"name":"Computers in Human Behavior","volume":null,"pages":null},"PeriodicalIF":9.0000,"publicationDate":"2024-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Understanding adoption intention of virtual medical consultation systems: Perceptions of ChatGPT and satisfaction with doctors\",\"authors\":\"Di Zhang, Xiaoman Zhao\",\"doi\":\"10.1016/j.chb.2024.108359\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>This study examined the impact of perceptions of ChatGPT, the leading AI chatbot since November 2022, on the acceptance and perceived efficacy of future GPT-powered virtual medical consultation systems (GPT-VMCSs), as well as their influence on the propensity to adopt such systems amid debates over their suitability for medical consultations. By utilizing the technology acceptance model (TAM), this study differentiated between perceptions of ChatGPT and GPT-VMCS by assessing how these perceptions, along with doctor satisfaction, resistance, and ChatGPT usage, affect adoption intentions. Among the 2150 participants from 21 countries, 1038 who had used ChatGPT or observed its use were selected for hypothesis testing. The results indicated that the perceived usefulness (PU) of the GPT-VMCS was the strongest predictor of adoption intentions, with the perceived ease of use (PEOU) also playing a critical role. In contrast, resistance, which was positively influenced by doctor satisfaction, was negatively associated with adoption intentions. The quality of ChatGPT responses was positively correlated with GPT-VMCS PU, although direct usage of ChatGPT did not significantly affect adoption intentions. The study concludes with a discussion of both theoretical and practical implications.</p></div>\",\"PeriodicalId\":48471,\"journal\":{\"name\":\"Computers in Human Behavior\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":9.0000,\"publicationDate\":\"2024-07-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Computers in Human Behavior\",\"FirstCategoryId\":\"102\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0747563224002279\",\"RegionNum\":1,\"RegionCategory\":\"心理学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"PSYCHOLOGY, EXPERIMENTAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Computers in Human Behavior","FirstCategoryId":"102","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0747563224002279","RegionNum":1,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"PSYCHOLOGY, EXPERIMENTAL","Score":null,"Total":0}
Understanding adoption intention of virtual medical consultation systems: Perceptions of ChatGPT and satisfaction with doctors
This study examined the impact of perceptions of ChatGPT, the leading AI chatbot since November 2022, on the acceptance and perceived efficacy of future GPT-powered virtual medical consultation systems (GPT-VMCSs), as well as their influence on the propensity to adopt such systems amid debates over their suitability for medical consultations. By utilizing the technology acceptance model (TAM), this study differentiated between perceptions of ChatGPT and GPT-VMCS by assessing how these perceptions, along with doctor satisfaction, resistance, and ChatGPT usage, affect adoption intentions. Among the 2150 participants from 21 countries, 1038 who had used ChatGPT or observed its use were selected for hypothesis testing. The results indicated that the perceived usefulness (PU) of the GPT-VMCS was the strongest predictor of adoption intentions, with the perceived ease of use (PEOU) also playing a critical role. In contrast, resistance, which was positively influenced by doctor satisfaction, was negatively associated with adoption intentions. The quality of ChatGPT responses was positively correlated with GPT-VMCS PU, although direct usage of ChatGPT did not significantly affect adoption intentions. The study concludes with a discussion of both theoretical and practical implications.
期刊介绍:
Computers in Human Behavior is a scholarly journal that explores the psychological aspects of computer use. It covers original theoretical works, research reports, literature reviews, and software and book reviews. The journal examines both the use of computers in psychology, psychiatry, and related fields, and the psychological impact of computer use on individuals, groups, and society. Articles discuss topics such as professional practice, training, research, human development, learning, cognition, personality, and social interactions. It focuses on human interactions with computers, considering the computer as a medium through which human behaviors are shaped and expressed. Professionals interested in the psychological aspects of computer use will find this journal valuable, even with limited knowledge of computers.