Dialect bias is pervasive yet often unconscious, normalized, or obscured by masking. Existing HCI interventions primarily audit disparities and propose reactive fixes. We present CompassioMate, a dialect-aware serious game that nurtures perspective-taking through AI-mediated play. Players listen to audio samples to identify regional dialects, engage in simulated social interactions involving dialect discrimination, and explore branching narratives that reveal how changes in wording or stance can influence the outcomes. In a three-week field study with 20 university students, participants reported feeling comfortable when observing region-tailored dialogues; several described experiencing perspective change. We contribute: 1) a formative study identifying goals for safe action consequence modelling, 2) the design and evaluation of a serious game integrating dialect audio, region-mapping play, bias; and 3) design implications highlighting listener-side training, transparent evaluation, and narratives maintaining psychological well-being.

翻译：方言偏见普遍存在，却常因无意识、常态化或被掩饰而难以察觉。现有的人机交互干预措施主要侧重于审计差异并提出被动修复方案。本文介绍CompassioMate，一款具备方言感知能力的严肃游戏，通过AI介导的游戏玩法培养玩家的换位思考能力。玩家通过聆听音频样本来识别地域方言，参与涉及方言歧视的模拟社交互动，并探索分支叙事，以揭示措辞或立场的变化如何影响事件结果。在一项为期三周、涉及20名大学生的实地研究中，参与者报告称在观察针对特定区域定制的对话时感到舒适；数名参与者描述了经历观点转变的过程。本文的贡献包括：1）一项形成性研究，明确了安全行动后果建模的目标；2）一款整合方言音频、区域映射游戏与偏见机制的严肃游戏的设计与评估；以及3）强调听者侧训练、透明评估及维护心理健康叙事的设计启示。