AI in the spotlight: The impact of artificial intelligence disclosure on user engagement in short-form videos

IF 9 1区心理学 Q1 PSYCHOLOGY, EXPERIMENTAL

Computers in Human Behavior Pub Date : 2024-09-20 DOI:10.1016/j.chb.2024.108448

Hao Chen , Pingping Wang , Shuaikang Hao

{"title":"AI in the spotlight: The impact of artificial intelligence disclosure on user engagement in short-form videos","authors":"Hao Chen , Pingping Wang , Shuaikang Hao","doi":"10.1016/j.chb.2024.108448","DOIUrl":null,"url":null,"abstract":"<div><div>This paper aims to investigate how AI disclosure affects user engagement intention. We try to comprehensively explore the fundamental mechanisms behind AI disclosure and user engagement, along with the boundary conditions that impact the relationship. Based on the heuristic-systematic model, this study built a moderated mediation model and conducted an online experiment on “Credamo” platform. The 479 valid experimental data of the study were analyzed by partial least squares structural equation modeling (PLS-SEM). The results indicate that AI disclosure has a direct, positive impact on user engagement intention, while it could also diminish user engagement intention by lowering users' perceived content quality. However, the negative impact on perceived content quality can be mitigated by improving users’ perceived AI capabilities. This study expands the research focus of AI disclosure and the practical application of heuristic-systematic model, which provides theoretical insights to the artificial intelligence related literature. In addition, we put forward to informed practical recommendations for video content creators and publishers in creating content and promoting user interaction.</div></div>","PeriodicalId":48471,"journal":{"name":"Computers in Human Behavior","volume":"162 ","pages":"Article 108448"},"PeriodicalIF":9.0000,"publicationDate":"2024-09-20","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/S0747563224003169","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

This paper aims to investigate how AI disclosure affects user engagement intention. We try to comprehensively explore the fundamental mechanisms behind AI disclosure and user engagement, along with the boundary conditions that impact the relationship. Based on the heuristic-systematic model, this study built a moderated mediation model and conducted an online experiment on “Credamo” platform. The 479 valid experimental data of the study were analyzed by partial least squares structural equation modeling (PLS-SEM). The results indicate that AI disclosure has a direct, positive impact on user engagement intention, while it could also diminish user engagement intention by lowering users' perceived content quality. However, the negative impact on perceived content quality can be mitigated by improving users’ perceived AI capabilities. This study expands the research focus of AI disclosure and the practical application of heuristic-systematic model, which provides theoretical insights to the artificial intelligence related literature. In addition, we put forward to informed practical recommendations for video content creators and publishers in creating content and promoting user interaction.

查看原文本刊更多论文

聚光灯下的人工智能：人工智能披露对用户参与短视频的影响

本文旨在研究人工智能信息披露如何影响用户参与意图。我们试图全面探讨人工智能信息披露与用户参与背后的基本机制，以及影响两者关系的边界条件。本研究在启发式系统模型的基础上，建立了调节中介模型，并在 "公信宝 "平台上进行了在线实验。通过偏最小二乘结构方程模型（PLS-SEM）分析了 479 个有效实验数据。结果表明，人工智能信息披露对用户参与意愿有直接的正向影响，同时也会通过降低用户感知内容质量来削弱用户参与意愿。然而，对感知内容质量的负面影响可以通过提高用户感知的人工智能能力来缓解。本研究拓展了人工智能披露的研究重点和启发式系统模型的实际应用，为人工智能相关文献提供了理论启示。此外，我们还为视频内容创作者和发布者在创作内容和促进用户互动方面提出了有参考价值的实用建议。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

Computers in Human Behavior Multiple-

CiteScore

19.10

自引率

4.00%

发文量

381

审稿时长

40 days

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.