As AI becomes increasingly embedded in digital games, players' attitudes de-pend not only on whether AI is used, but also on where and how it intervenes in gameplay. This study examines players' evaluative patterns toward eight AI application contexts, including intelligent NPCs, emergent narrative, dynamic balancing, recommendation systems, review and governance, art asset generation, co-creation gameplay, and gameplay evolution. Based on 1,856 valid open-ended responses from 310 questionnaires, we conducted thematic analysis to identify reasons for acceptance, rejection, and conditional acceptance. Results show that players welcomed AI when it enhanced immersion, personalization, novelty, efficiency, or convenience, but resisted it when it threatened creativity, emotional authenticity, autonomy, fairness, system stability, authorship, or accountability. We further identify six evaluative logics: experiential enrichment, instrumental efficiency, system reliability, agency and control, authorship and compliance, and human oversight. These preliminary findings highlight the context-sensitive nature of AI acceptance in digital games.

翻译：随着人工智能在数字游戏中的日益嵌入，玩家对AI的态度不仅取决于是否使用AI，还取决于其在游戏中的介入位置与方式。本研究考察了玩家对八类AI应用情境的评价模式，包括智能NPC、涌现叙事、动态平衡、推荐系统、审查治理、美术资产生成、协作共创与玩法进化。基于310份问卷收集的1856份有效开放式回答，我们通过主题分析识别了接受、拒绝与有条件接受的原因。结果表明，当AI增强沉浸感、个性化、新颖性、效率或便利性时，玩家持欢迎态度；但当AI威胁创造力、情感真实性、自主性、公平性、系统稳定性、作者身份或问责性时，则产生抵触。我们进一步识别出六种评价逻辑：体验丰富化、工具性效率、系统可靠性、能动性与控制、作者身份与合规性、以及人类监督。这些初步发现凸显了数字游戏中AI接受的情境敏感性特征。