Is It AI or Is It Me? Understanding Users' Prompt Journey with Text-to-Image Generative AI Tools

被引:0
|
作者
Goloujeh, Atefeh Mahdavi [1 ]
Sullivan, Anne [1 ]
Magerko, Brian [1 ]
机构
[1] Georgia Inst Technol, Atlanta, GA 30332 USA
基金
美国国家科学基金会;
关键词
Prompt engineering; generative AI; text-to-image generation; user journey; COMMUNITIES;
D O I
10.1145/3613904.3642861
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Generative Artificial Intelligence (AI) has witnessed unprecedented growth in text-to-image AI tools. Yet, much remains unknown about users' prompt journey with such tools in the wild. In this paper, we posit that designing human-centered text-to-image AI tools requires a clear understanding of how individuals intuitively approach crafting prompts, and what challenges they may encounter. To address this, we conducted semi-structured interviews with 19 existing users of a text-to-image AI tool. Our findings (1) offer insights into users' prompt journey including structures and processes for writing, evaluating, and refining prompts in text-to-image AI tools and (2) indicate that users must overcome barriers to aligning AI to their intents, and mastering prompt crafting knowledge. From the findings, we discuss the prompt journey as an individual yet a social experience and highlight opportunities for aligning text-to-image AI tools and users' intents.
引用
收藏
页数:13
相关论文
共 50 条
  • [1] Text-to-image AI tools and tourism experiences
    Miao, Li
    Yang, Fiona X.
    ANNALS OF TOURISM RESEARCH, 2023, 102
  • [2] Enhancing children's understanding of algorithmic biases in and with text-to-image generative AI
    Vartiainen, Henriikka
    Kahila, Juho
    Tedre, Matti
    Lopez-Pernas, Sonsoles
    Pope, Nicolas
    NEW MEDIA & SOCIETY, 2024,
  • [3] How Text-to-Image Generative AI Is Transforming Mediated Action
    Vartiainen, Henriikka
    Tedre, Matti
    IEEE COMPUTER GRAPHICS AND APPLICATIONS, 2024, 44 (02) : 12 - 22
  • [4] The elephant in the room: reflecting on text-to-image generative AI and global health images
    Alenichev, Arsenii
    Kingori, Patricia
    Shaffer, Jonathan
    Grietens, Koen Peeters
    BMJ GLOBAL HEALTH, 2024, 9 (04):
  • [5] Fantasy on Demand: The Temptation Of Text-to-Image AI
    Nagele, Julia
    CTBUH Journal, 2023, 2023 (03) : 46 - 51
  • [6] Design Guidelines for Prompt Engineering Text-to-Image Generative Models
    Liu, Vivian
    Chilton, Lydia B.
    PROCEEDINGS OF THE 2022 CHI CONFERENCE ON HUMAN FACTORS IN COMPUTING SYSTEMS (CHI' 22), 2022,
  • [7] In-Between Visuals and Visible: The Impacts of Text-to-Image Generative AI Tools on Digital Image-making Practices in the Global South
    Mim, Nusrat Jahan
    Nandi, Dipannita
    Khan, Sadaf Sumyia
    Dey, Arundhuti
    Ahmed, Syed Ishtiaque
    PROCEEDINGS OF THE 2024 CHI CONFERENCE ON HUMAN FACTORS IN COMPUTING SYTEMS, CHI 2024, 2024,
  • [8] First Year CS Students Exploring And Identifying Biases and Social Injustices in Text-to-Image Generative AI
    Apiola, Mikko
    Vartiainen, Henriikka
    Tedre, Matti
    PROCEEDINGS OF THE 2024 CONFERENCE INNOVATION AND TECHNOLOGY IN COMPUTER SCIENCE EDUCATION, VOL 1, ITICSE 2024, 2024, : 485 - 491
  • [9] Negative Capabilities: Investigating Apophasis in AI Text-to-Image Models
    Lucas, Hannah
    RELIGIONS, 2023, 14 (06)
  • [10] A comparative analysis of text-to-image generative AI models in scientific contexts: a case study on nuclear power
    Veda Joynt
    Jacob Cooper
    Naman Bhargava
    Katie Vu
    O. Hwang Kwon
    Todd R. Allen
    Aditi Verma
    Majdi I. Radaideh
    Scientific Reports, 14 (1)