Diem-Trang Vo , Long Van Thang Nguyen , Duy Dang-Pham , Ai-Phuong Hoang
{"title":"What makes an app authentic? Determining antecedents of perceived authenticity in an AI-powered service app","authors":"Diem-Trang Vo , Long Van Thang Nguyen , Duy Dang-Pham , Ai-Phuong Hoang","doi":"10.1016/j.chb.2024.108495","DOIUrl":null,"url":null,"abstract":"<div><div>Mobile applications integrated with artificial intelligence play a vital role in engaging users with the services thanks to their ability to perform natural interactions and conduct various tasks. Despite users’ quest for authenticity, limited studies have explored the notion of authenticity of this non-human humanlike touchpoint. Study 1 (n = 331) explores the four dimensions of authenticity in the context of AI-powered service apps. Using regulatory engagement and parasocial interaction theory, study 2 (n = 309) confirms media richness, parent brand attitudes, and co-branding fit as influencing factors of perceived authenticity in the context of AI-powered service apps. The six solutions from fsQCA reveal the different but equally important combinations of media, brand, endorser, and personal factors to achieve a high perception of authenticity. This study contributes to the algorithmic experience literature by extending the idea of “proper means” in the AI-powered context.</div></div>","PeriodicalId":48471,"journal":{"name":"Computers in Human Behavior","volume":"163 ","pages":"Article 108495"},"PeriodicalIF":9.0000,"publicationDate":"2024-11-13","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/S0747563224003637","RegionNum":1,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"PSYCHOLOGY, EXPERIMENTAL","Score":null,"Total":0}
引用次数: 0
Abstract
Mobile applications integrated with artificial intelligence play a vital role in engaging users with the services thanks to their ability to perform natural interactions and conduct various tasks. Despite users’ quest for authenticity, limited studies have explored the notion of authenticity of this non-human humanlike touchpoint. Study 1 (n = 331) explores the four dimensions of authenticity in the context of AI-powered service apps. Using regulatory engagement and parasocial interaction theory, study 2 (n = 309) confirms media richness, parent brand attitudes, and co-branding fit as influencing factors of perceived authenticity in the context of AI-powered service apps. The six solutions from fsQCA reveal the different but equally important combinations of media, brand, endorser, and personal factors to achieve a high perception of authenticity. This study contributes to the algorithmic experience literature by extending the idea of “proper means” in the AI-powered context.
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.