{"title":"Co-experiencing with AI: Effects on social bonding and empathy in human-AI relationships","authors":"Yiming Qian, Xiaoang Wan","doi":"10.1016/j.techsoc.2025.103009","DOIUrl":null,"url":null,"abstract":"<div><div>When humans engage in co-experience by sharing the same event, their relationship typically grows closer. Given the increasingly deep integration of AI agents into human lives, we conducted three studies to examine whether the same impact exists in human-AI co-experience and to unravel its underlying mechanism. In Study 1, participants were directed to either co-experience an event with an embodied robot or experience it alone. All participants were randomly assigned to two groups, with the experiences featuring either positive or negative outcomes. Study 2 was identical to Study 1 in most aspects, except that participants were asked to imagine co-experiencing the event with a disembodied chatbot or alone. The results of both Study 1 and Study 2 consistently revealed that, compared with solitary experiences, human-AI co-experiences enhanced social bonding and increased empathy toward the AI agent, regardless of event outcomes. In Study 3, participants co-experienced the same event with a chatbot or alone and rated their perception of shared mental models. The results demonstrated that shared mental models mediated the effect of co-experience on human-AI relationships. Collectively, these findings highlight the positive impact of co-experiences on human-AI relationships, providing insights for fostering sustainable human-AI symbiosis.</div></div>","PeriodicalId":47979,"journal":{"name":"Technology in Society","volume":"83 ","pages":"Article 103009"},"PeriodicalIF":12.5000,"publicationDate":"2025-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Technology in Society","FirstCategoryId":"90","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0160791X2500199X","RegionNum":1,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"SOCIAL ISSUES","Score":null,"Total":0}
引用次数: 0
Abstract
When humans engage in co-experience by sharing the same event, their relationship typically grows closer. Given the increasingly deep integration of AI agents into human lives, we conducted three studies to examine whether the same impact exists in human-AI co-experience and to unravel its underlying mechanism. In Study 1, participants were directed to either co-experience an event with an embodied robot or experience it alone. All participants were randomly assigned to two groups, with the experiences featuring either positive or negative outcomes. Study 2 was identical to Study 1 in most aspects, except that participants were asked to imagine co-experiencing the event with a disembodied chatbot or alone. The results of both Study 1 and Study 2 consistently revealed that, compared with solitary experiences, human-AI co-experiences enhanced social bonding and increased empathy toward the AI agent, regardless of event outcomes. In Study 3, participants co-experienced the same event with a chatbot or alone and rated their perception of shared mental models. The results demonstrated that shared mental models mediated the effect of co-experience on human-AI relationships. Collectively, these findings highlight the positive impact of co-experiences on human-AI relationships, providing insights for fostering sustainable human-AI symbiosis.
期刊介绍:
Technology in Society is a global journal dedicated to fostering discourse at the crossroads of technological change and the social, economic, business, and philosophical transformation of our world. The journal aims to provide scholarly contributions that empower decision-makers to thoughtfully and intentionally navigate the decisions shaping this dynamic landscape. A common thread across these fields is the role of technology in society, influencing economic, political, and cultural dynamics. Scholarly work in Technology in Society delves into the social forces shaping technological decisions and the societal choices regarding technology use. This encompasses scholarly and theoretical approaches (history and philosophy of science and technology, technology forecasting, economic growth, and policy, ethics), applied approaches (business innovation, technology management, legal and engineering), and developmental perspectives (technology transfer, technology assessment, and economic development). Detailed information about the journal's aims and scope on specific topics can be found in Technology in Society Briefings, accessible via our Special Issues and Article Collections.