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：随着人工智能日益融入数字游戏，玩家的态度不仅取决于是否使用AI，还取决于它在游戏过程中介入的位置和方式。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、涌现式叙事、动态平衡、推荐系统、审查与治理、美术资产生成、协同创作玩法和玩法进化。基于310份问卷中收集的1856条有效开放式回答，我们采用主题分析法归纳出玩家接受、拒绝以及有条件接受的原因。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；而当它威胁到创造力、情感真实性、自主性、公平性、系统稳定性、作者身份或问责制时，玩家则表现出抵抗。我们进一步识别出六种评价逻辑：体验丰富化、工具效率、系统可靠性、自主性与控制、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接受度的情境敏感性。