{"title":"Seeing AI as human or machine? Effects of transparency, valence, and readability on review summary helpfulness","authors":"Yerin Yhee, Chulmo Koo","doi":"10.1016/j.tourman.2025.105305","DOIUrl":null,"url":null,"abstract":"<div><div>The rise of generative AI has transformed online information processing, particularly in consumer decision-making. This study examines how AI-powered review summaries, such as those on TripAdvisor, influence user perceptions and decision-making. Grounded in the Computers Are Social Actors (CASA) theory, we explore how AI perception (human-like vs. machine-like) affects the helpfulness of AI-generated summaries. Additionally, we investigate the roles of information transparency as AI characteristics and review summary valence and readability as contextual moderators. Using an experimental design across five studies, we analyze the serial mediation effect of AI perception on behavioral intentions via perceived helpfulness. Findings contribute to the understanding of generative AI’s role in digital consumer interactions, offering theoretical and practical insights into AI-generated information’s impact on decision-making. This research advances knowledge in hospitality, consumer behavior, and AI adoption, providing implications for AI transparency and user engagement in online review platforms.</div></div>","PeriodicalId":48469,"journal":{"name":"Tourism Management","volume":"113 ","pages":"Article 105305"},"PeriodicalIF":14.5000,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Tourism Management","FirstCategoryId":"91","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S026151772500175X","RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/9/11 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"ENVIRONMENTAL STUDIES","Score":null,"Total":0}
引用次数: 0
Abstract
The rise of generative AI has transformed online information processing, particularly in consumer decision-making. This study examines how AI-powered review summaries, such as those on TripAdvisor, influence user perceptions and decision-making. Grounded in the Computers Are Social Actors (CASA) theory, we explore how AI perception (human-like vs. machine-like) affects the helpfulness of AI-generated summaries. Additionally, we investigate the roles of information transparency as AI characteristics and review summary valence and readability as contextual moderators. Using an experimental design across five studies, we analyze the serial mediation effect of AI perception on behavioral intentions via perceived helpfulness. Findings contribute to the understanding of generative AI’s role in digital consumer interactions, offering theoretical and practical insights into AI-generated information’s impact on decision-making. This research advances knowledge in hospitality, consumer behavior, and AI adoption, providing implications for AI transparency and user engagement in online review platforms.
期刊介绍:
Tourism Management, the preeminent scholarly journal, concentrates on the comprehensive management aspects, encompassing planning and policy, within the realm of travel and tourism. Adopting an interdisciplinary perspective, the journal delves into international, national, and regional tourism, addressing various management challenges. Its content mirrors this integrative approach, featuring primary research articles, progress in tourism research, case studies, research notes, discussions on current issues, and book reviews. Emphasizing scholarly rigor, all published papers are expected to contribute to theoretical and/or methodological advancements while offering specific insights relevant to tourism management and policy.