Is Your Prompt Detailed Enough? Exploring the Effects of Prompt Coaching on Users' Perceptions, Engagement, and Trust in Text-to-Image Generative AI Tools

被引:0
|
作者
Chen, Cheng [1 ]
Lee, Sangwook [2 ]
Jang, Eunchae [3 ]
Sundar, S. Shyam [3 ]
机构
[1] Elon Univ, Sch Commun, Commun Design Dept, Elon, NC 27244 USA
[2] Univ Colorado Boulder, Dept Advertising Publ Relat & Media Design, Boulder, CO USA
[3] Penn State Univ, Bellisario Coll Commun, Media Effects Res Lab, University Pk, PA USA
关键词
Prompt coaching; Generative AI; Perceived trust calibration; Cognitive elaboration; User Engagement; User Interface; User Experience; SATISFACTION; PSYCHOLOGY; EXPERIENCE;
D O I
10.1145/3686038.3686060
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Prompts are the primary medium for interacting with generative AI tools. However, users often lack sufficient prompt literacy and motivation to fully benefit from these tools. To address this, we explore whether introducing prompt coaching into a chatbot-based generative AI interface can influence users' perceptions and engagement of prompting, and further affect their trust in the system. In a user study (N = 132), we found that prompt coaching encourages users to specify more details in their prompts, even though over half initially believed their prompts were sufficient. Furthermore, the coach increased users' cognitive elaboration, which was associated with higher perceived trust calibration. However, prompt coaching did not significantly enhance UX, although users in the coaching absent condition expressed a strong need for prompt assistance for better user experience. These findings have practical implications for the design of trustworthy and responsible generative AI interfaces.
引用
收藏
页数:12
相关论文
共 2 条
  • [1] Is It AI or Is It Me? Understanding Users' Prompt Journey with Text-to-Image Generative AI Tools
    Goloujeh, Atefeh Mahdavi
    Sullivan, Anne
    Magerko, Brian
    PROCEEDINGS OF THE 2024 CHI CONFERENCE ON HUMAN FACTORS IN COMPUTING SYTEMS (CHI 2024), 2024,
  • [2] "Imagine a Dress": Exploring the case of task-specific prompt assistants for text-to-image AI tools
    Chen, Helen Weixu
    Istead, Lesley
    PROCEEDINGS OF THE 50TH GRAPHICS INTERFACE CONFERENCE, GI 2024, 2024,