AI agency vs. human agency: understanding human-AI interactions on TikTok and their implications for user engagement

被引:71
|
作者
Kang, Hyunjin [1 ]
Lou, Chen [1 ]
机构
[1] Nanyang Technol Univ, Wee Kim Wee Sch Commun & Informat, Singapore, Singapore
来源
关键词
TikTok; social media; human-machine communication; artificial intelligence; machine agency; user agency; user engagement; SOCIAL MEDIA; ALGORITHMS; PERSONALIZATION; MOTIVATION; MODEL;
D O I
10.1093/jcmc/zmac014
中图分类号
G2 [信息与知识传播];
学科分类号
05 ; 0503 ;
摘要
Lay Summary Artificial intelligence (AI) technology has now been widely applied to social media. AI arranges posts based on user preferences and helps users easily create and share social media posts. AI-based algorithms underlying social media make decisions and initiate actions when interacting with human users, suggesting that machine agency and human agency coexist in human-machine interactions on AI-based social media. This study explores how TikTok users collaborate with AI, specifically focusing on the dynamics between human agency and machine agency, and how such dynamics shape user engagement. In-depth interviews with 25 TikTok users indicate that users are largely receptive to the personalized experiences offered by AI-enabled algorithms. Human users and AI-based algorithms also influence each other when the two interact, leading to human-AI synergy effects. Users try to train algorithms to provide a personalized feed that caters to their interests more precisely. AI also facilitates users' content creation and networking by reducing the efforts to exercise user agency. This study also finds that AI-user collaboration on TikTok influences user engagement with the platform and social-interactive engagement. These findings advance our understanding of how human agency driven by users and machine agency driven by AI collaboratively transform user engagement. Artificial intelligence (AI) technology has vastly reshaped user experiences on social media. AI-powered social media use and its outcomes largely depend on how users collaborate with AI that exercises agency. Through in-depth interviews with TikTok users, this study investigates how users collaborate with AI when using AI-powered social media and how such dynamics shape user engagement. We found that TikTok users are receptive to personalized experiences enabled by machine agency. However, by influencing each other, user agency and machine agency also led to user-AI synergy. Users deliberately influence content curation algorithms to make them cater more precisely to their needs; AI also facilitates users' content creation and networking. Such AI-user collaboration on TikTok significantly influences medium engagement and social-interactive engagement. These findings advance our understanding of the dynamics between human agency and machine agency and, thus, how AI transforms user experiences on social media.
引用
收藏
页数:13
相关论文
共 50 条
  • [31] Do We Learn From Each Other: Understanding the Human-AI Co-Learning Process Embedded in Human-AI Collaboration
    Lu, Jinwei
    Yan, Yikuan
    Huang, Keman
    Yin, Ming
    Zhang, Fang
    GROUP DECISION AND NEGOTIATION, 2024, : 235 - 271
  • [32] When and How to Use AI in the Design Process? Implications for Human-AI Design Collaboration
    Lee, Seo-young
    Law, Matthew
    Hoffman, Guy
    INTERNATIONAL JOURNAL OF HUMAN-COMPUTER INTERACTION, 2025, 41 (02) : 1569 - 1584
  • [33] Understanding Choice Independence and Error Types in Human-AI Collaboration
    Erlei, Alexander
    Sharma, Abhinav
    Gadiraju, Ujwal
    PROCEEDINGS OF THE 2024 CHI CONFERENCE ON HUMAN FACTORS IN COMPUTING SYTEMS, CHI 2024, 2024,
  • [34] Understanding the influence of AI autonomy on AI explainability levels in human-AI teams using a mixed methods approach
    Hauptman, Allyson I.
    Schelble, Beau G.
    Duan, Wen
    Flathmann, Christopher
    Mcneese, Nathan J.
    COGNITION TECHNOLOGY & WORK, 2024, 26 (03) : 435 - 455
  • [35] Exploring the Impact of User and System Factors on Human-AI Interactions in Head-Worn Displays
    Lu, Feiyu
    Xu, Yan
    Xu, Xuhai
    Jones, Brennan
    Malamed, Laird
    2023 IEEE INTERNATIONAL SYMPOSIUM ON MIXED AND AUGMENTED REALITY, ISMAR, 2023, : 109 - 118
  • [36] The media inequality: Comparing the initial human-human and human-AI social interactions
    Mou, Yi
    Xu, Kun
    COMPUTERS IN HUMAN BEHAVIOR, 2017, 72 : 432 - 440
  • [37] SHAI 2023: Workshop on Designing for Safety in Human-AI Interactions
    Goyal, Nitesh
    Hong, Sungsoo Ray
    Mandryk, Regan L.
    Li, Toby Jia-Jun
    Luther, Kurt
    Wang, Dakuo
    COMPANION PROCEEDINGS OF 2023 28TH ANNUAL CONFERENCE ON INTELLIGENT USER INTERFACES, IUI 2023 COMPANION, 2023, : 199 - 201
  • [38] Connectionism about human agency: responsible AI and the social lifeworld
    Noller, Joerg
    AI & SOCIETY, 2024,
  • [39] Human-AI Teamwork Interface Design Using Patterns of Interactions
    Momose, Kazuhiko
    Mehta, Rahul
    Moukpe, Josias
    Weekes, Troy R.
    Eskridge, Thomas C.
    INTERNATIONAL JOURNAL OF HUMAN-COMPUTER INTERACTION, 2024,
  • [40] Influence of AI behavior on human moral decisions, agency, and responsibility
    Adriana Salatino
    Arthur Prével
    Emilie Caspar
    Salvatore Lo Bue
    Scientific Reports, 15 (1)