Generative AI in the Wild: Prospects, Challenges, and Strategies
Yuan Sun, Eunchae Jang, Fenglong Ma, Ting Wang
摘要
Propelled by their remarkable capabilities to generate novel and engaging content, Generative Artificial Intelligence (GenAI) technologies are disrupting traditional workflows in many industries. While prior research has examined GenAI from a techno-centric perspective, there is still a lack of understanding about how users perceive and utilize GenAI in real-world scenarios. To bridge this gap, we conducted semi-structured interviews with (N = 18) GenAI users in creative industries, investigating the human-GenAI co-creation process within a holistic LUA (Learning, Using and Assessing) framework. Our study uncovered an intriguingly complex landscape: Prospects – GenAI greatly fosters the co-creation between human expertise and GenAI capabilities, profoundly transforming creative workflows; Challenges – Meanwhile, users face substantial uncertainties and complexities arising from resource availability, tool usability, and regulatory compliance; Strategies – In response, users actively devise various strategies to overcome many of such challenges. Our study reveals key implications for the design of future GenAI tools.
问问这篇 Paper
智能体会读完全文。
Lune 把这篇 Paper 索引到了最后一个公式,引用它的顶会 Paper 也一样。你提问,回答直接引用原文。
引用它的顶会 Paper11
- How CO2STLY Is CHI? The Carbon Footprint of Generative AI in HCI Research and What We Should Do About ItNanna Inie, Jeanette Falk, Raghavendra SelvanCHI 2025 · 被引用 33 次
- Exploring Collaboration Patterns and Strategies in Human-AI Co-creation through the Lens of Agency: A Scoping Review of the Top-tier HCI LiteratureShuning Zhang, Hui Wang, Xin YiCSCW 2025 · 被引用 31 次
- Co-designing Large Language Model Tools for Project-Based Learning with K12 EducatorsPrerna Ravi, John Masla, Gisella Kakoti, Grace C. Lin 等CHI 2025 · 被引用 26 次
- Generative AI Uses and Risks for Knowledge Workers in a Science OrganizationKelly B. Wagman, Matthew T. Dearing, Marshini ChettyCHI 2025 · 被引用 16 次
- Generative AI as a Playful yet Offensive Tourist: Exploring Tensions Between Playful Features and Citizen Concerns in Designing Urban PlayPeng-Kai Hung, Yi-Ching Janet Huang, Rung-Huei Liang, Stephan WensveenCHI 2025 · 被引用 9 次
它引用的顶会 Paper14
- Language Models are Few-Shot LearnersTom B. Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah 等NeurIPS 2020 · 被引用 64,255 次
- Training language models to follow instructions with human feedbackLong Ouyang, Jeffrey Wu, Xu Jiang, Diogo Almeida 等NeurIPS 2022 · 被引用 24,707 次
- Adding Conditional Control to Text-to-Image Diffusion ModelsLvmin Zhang, Anyi Rao, Maneesh AgrawalaICCV 2023 · 被引用 6,759 次
- Why Johnny Can't Prompt: How Non-AI Experts Try (and Fail) to Design LLM PromptsJ. D. Zamfirescu-Pereira, Richmond Y. Wong, Bjoern Hartmann, Qian YangCHI 2023 · 被引用 892 次
- Re-examining Whether, Why, and How Human-AI Interaction Is Uniquely Difficult to DesignQian Yang, Aaron Steinfeld, Carolyn P. Rosé, John ZimmermanCHI 2020 · 被引用 604 次
相关 Paper
- When Teams Embrace AI: Human Collaboration Strategies in Generative Prompting in a Creative Design TaskYuanning Han, Ziyi Qiu, Jiale Cheng, Ray LCCHI 2024 · 被引用 103 次
- GeneyMAP: Exploring the Potential of GenAI to Facilitate Mapping User Journeys for UX DesignYihan Mei, Zhao Wu, Junnan Yu, Wenan Li 等CHI 2025 · 被引用 12 次
- Exploring the Impact of AI-powered Creativity Support Tools on Professional Creative WorkflowsCaterina Moruzzi, Charlotte Bird, Laura Mariah HermanCSCW 2026
- Intent Tagging: Exploring Micro-Prompting Interactions for Supporting Granular Human-GenAI Co-Creation WorkflowsFrederic Gmeiner, Nicolai Marquardt, Michael Bentley, Hugo Romat 等CHI 2025 · 被引用 11 次
- User Experience Design Professionals' Perceptions of Generative Artificial IntelligenceJie Li, Hancheng Cao, Laura Lin, Youyang Hou 等CHI 2024 · 被引用 149 次
