{"title":"Will users fall in love with ChatGPT? a perspective from the triangular theory of love","authors":"","doi":"10.1016/j.jbusres.2024.114982","DOIUrl":null,"url":null,"abstract":"<div><div>The phenomenon of human-ChatGPT emotional interaction has become increasing. This study aims to address whether users will fall in love with ChatGPT and to uncover the antecedents and underlying mechanisms. Based on the social-technical framework and the triangular theory of love, we examine the attributes tied to ChatGPT and the inherent processes that influence the emotional dependence of users. Through a survey and data analysis of 466 users who have engaged in emotional interactions with ChatGPT, we find that three ChatGPT’s emotional intelligence factors and two emotional companionship factors positively influence the factors of the love triangle and are associated with users’ emotional dependence on it. The findings also suggest that users with an anxious attachment personality are predisposed to develop an emotional dependency on ChatGPT. This study innovatively explores the phenomenon of human–machine romantic relationships in the context of ChatGPT, revealing the underlying mechanisms of human–machine romantic relationships. It enriches the research on human–machine romantic relationships and extends the Love Triangle Theory. Additionally, we capture the unique emotional interaction features of ChatGPT, providing practical significance for the design and development of future artificial intelligence products based on ChatGPT.</div></div>","PeriodicalId":15123,"journal":{"name":"Journal of Business Research","volume":null,"pages":null},"PeriodicalIF":10.5000,"publicationDate":"2024-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Business Research","FirstCategoryId":"91","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0148296324004867","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
The phenomenon of human-ChatGPT emotional interaction has become increasing. This study aims to address whether users will fall in love with ChatGPT and to uncover the antecedents and underlying mechanisms. Based on the social-technical framework and the triangular theory of love, we examine the attributes tied to ChatGPT and the inherent processes that influence the emotional dependence of users. Through a survey and data analysis of 466 users who have engaged in emotional interactions with ChatGPT, we find that three ChatGPT’s emotional intelligence factors and two emotional companionship factors positively influence the factors of the love triangle and are associated with users’ emotional dependence on it. The findings also suggest that users with an anxious attachment personality are predisposed to develop an emotional dependency on ChatGPT. This study innovatively explores the phenomenon of human–machine romantic relationships in the context of ChatGPT, revealing the underlying mechanisms of human–machine romantic relationships. It enriches the research on human–machine romantic relationships and extends the Love Triangle Theory. Additionally, we capture the unique emotional interaction features of ChatGPT, providing practical significance for the design and development of future artificial intelligence products based on ChatGPT.
期刊介绍:
The Journal of Business Research aims to publish research that is rigorous, relevant, and potentially impactful. It examines a wide variety of business decision contexts, processes, and activities, developing insights that are meaningful for theory, practice, and/or society at large. The research is intended to generate meaningful debates in academia and practice, that are thought provoking and have the potential to make a difference to conceptual thinking and/or practice. The Journal is published for a broad range of stakeholders, including scholars, researchers, executives, and policy makers. It aids the application of its research to practical situations and theoretical findings to the reality of the business world as well as to society. The Journal is abstracted and indexed in several databases, including Social Sciences Citation Index, ANBAR, Current Contents, Management Contents, Management Literature in Brief, PsycINFO, Information Service, RePEc, Academic Journal Guide, ABI/Inform, INSPEC, etc.