Xiaodong Yang , Bing Song , Liang Chen , Shirley S. Ho , Jin Sun
{"title":"技术乐观主义超越了对错过的恐惧：对不同技术乐观程度的媒体对采用人工智能生成技术的假定影响的多组分析","authors":"Xiaodong Yang , Bing Song , Liang Chen , Shirley S. Ho , Jin Sun","doi":"10.1016/j.chb.2024.108466","DOIUrl":null,"url":null,"abstract":"<div><div>Drawing upon the influence of presumed media influence (IPMI) model, this study investigates indirect media effects on individuals' intentions to adopt generative AI technology, with a further examination of how variations in technological optimism impact the relationships within the IPMI model. Findings from a national survey of 1061 respondents confirmed the existence of presumed media influence in the context of generative AI technology, as individuals’ attention to generative AI technology related media content influenced their presumptions about how others use it, subsequently affecting their adoption intentions through social norm perception, attitude change, and the fear of missing out. Furthermore, a multigroup comparison uncovers divergent presumed media effects on generative AI technology adoption between subgroups characterized by their differing levels of technological optimism, in which high technological optimism was found to trump fear of missing out in driving its adoption.</div></div>","PeriodicalId":48471,"journal":{"name":"Computers in Human Behavior","volume":"162 ","pages":"Article 108466"},"PeriodicalIF":9.0000,"publicationDate":"2024-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Technological optimism surpasses fear of missing out: A multigroup analysis of presumed media influence on generative AI technology adoption across varying levels of technological optimism\",\"authors\":\"Xiaodong Yang , Bing Song , Liang Chen , Shirley S. Ho , Jin Sun\",\"doi\":\"10.1016/j.chb.2024.108466\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Drawing upon the influence of presumed media influence (IPMI) model, this study investigates indirect media effects on individuals' intentions to adopt generative AI technology, with a further examination of how variations in technological optimism impact the relationships within the IPMI model. Findings from a national survey of 1061 respondents confirmed the existence of presumed media influence in the context of generative AI technology, as individuals’ attention to generative AI technology related media content influenced their presumptions about how others use it, subsequently affecting their adoption intentions through social norm perception, attitude change, and the fear of missing out. Furthermore, a multigroup comparison uncovers divergent presumed media effects on generative AI technology adoption between subgroups characterized by their differing levels of technological optimism, in which high technological optimism was found to trump fear of missing out in driving its adoption.</div></div>\",\"PeriodicalId\":48471,\"journal\":{\"name\":\"Computers in Human Behavior\",\"volume\":\"162 \",\"pages\":\"Article 108466\"},\"PeriodicalIF\":9.0000,\"publicationDate\":\"2024-10-02\",\"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/S0747563224003340\",\"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/S0747563224003340","RegionNum":1,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"PSYCHOLOGY, EXPERIMENTAL","Score":null,"Total":0}
Technological optimism surpasses fear of missing out: A multigroup analysis of presumed media influence on generative AI technology adoption across varying levels of technological optimism
Drawing upon the influence of presumed media influence (IPMI) model, this study investigates indirect media effects on individuals' intentions to adopt generative AI technology, with a further examination of how variations in technological optimism impact the relationships within the IPMI model. Findings from a national survey of 1061 respondents confirmed the existence of presumed media influence in the context of generative AI technology, as individuals’ attention to generative AI technology related media content influenced their presumptions about how others use it, subsequently affecting their adoption intentions through social norm perception, attitude change, and the fear of missing out. Furthermore, a multigroup comparison uncovers divergent presumed media effects on generative AI technology adoption between subgroups characterized by their differing levels of technological optimism, in which high technological optimism was found to trump fear of missing out in driving its adoption.
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.
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