AI 中文总结
本研究通过分析Steam平台50余万条游戏评论，发现披露使用生成式AI的游戏推荐率更低、玩家情感更负面，提出生成式AI应用需服务玩家需求而非仅降本。
AI 中文摘要
生成式AI在游戏开发中的快速应用引发了玩家间的大量讨论，但鲜有实证研究考察玩家对AI生成内容的实际感知。本研究采用定量方法，以数十年来成功集成到游戏中的生成技术——过程内容生成（PCG）为基线，探究Steam平台游戏中生成式AI的应用情况；同时采用定性方法，通过分析508192条英文评论，研究玩家对生成式AI的接受度。研究发现，披露使用生成式AI的游戏，其推荐率低于采用PCG的游戏，且整体情感更负面；对600条评论的主题分析显示，玩家认为游戏中使用生成式AI是开发者对游戏的投入度低。基于以人为本的AI框架，本研究提出，生成式AI的成功应用需将其用于满足玩家需求，而非为降低开发成本。
英文摘要
The rapid adoption of generative AI in game development has created large discussions among players, yet little empirical work has examined how players actually perceive AI-generated content. Employing quantitative methods, we study the adoption of generative AI in games in the Steam marketplace, using procedural content generation (PCG) as a baseline of a generative technology that was successfully integrated into games over several decades. Furthermore, using qualitative methods, we study player reception of generative AI by analyzing 508,192 English-language reviews. We found that games disclosing generative AI use receive lower recommendation rates and more negative overall sentiment than PCG games. Thematic analysis of 600 reviews shows that players perceive the use of generative AI in games as low developer investment in the game. Drawing on human-centered AI frameworks, we argue that successful generative AI adoption requires deploying generative AI for what players need, not for what makes development cheaper.
DOI：10.1145/3831347
