Generative AI in the Wild: Prospects, Challenges, and Strategies
| Autor: | Sun, Yuan, Jang, Eunchae, Ma, Fenglong, Wang, Ting |
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| Rok vydání: | 2024 |
| Předmět: | |
| Druh dokumentu: | Working Paper |
| DOI: | 10.1145/3613904.3642160 |
| Popis: | 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. Comment: In Proceedings of the CHI Conference on Human Factors in Computing Systems (CHI'24), May 11-16, 2024, Honolulu, HI, USA. (accidentally submitted as arXiv:2302.10827v2) |
| Databáze: | arXiv |
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