旅游直播作为新兴数字媒介形式，为旅游利益相关者提供了时空同步的情感交互平台。本文基于双过程情感理论，采用表情识别与深度访谈相结合的混合研究设计，系统探讨参与者在直播中的隐性与显性情绪表达及其动态演化过程。研究发现，显性表达倾向回顾加工与积极情绪放大，隐性表达则敏锐捕捉即时情绪波动，尤其在互动密集或情境落差时更为明显。情绪在开场—互动—结尾阶段呈阶段性变化，情感体验体现为“愉悦与自主”“灵感与唤醒”“存在与认同”等核心维度。研究拓展了双过程情感理论在数字旅游场景下的适用边界，揭示了旅游直播中情感表达的结构机理与心理调节路径，为深化虚拟旅游参与者情绪体验理解及平台内容优化提供理论支撑与实证参考。

In the context of digital transformation in tourism, tourism live streaming (TLS) has emerged as a novel virtual tourism experience, enabling participants to interact in real time with hosts/KOLs and scenic destinations. Drawing on dual-process theories of emotion, this study develops and validates a conceptual model of emotional and sentimental experience in TLS, integrating both explicit (verbal, self-reported) and implicit (facial expression-based) expression processes. Using a convergent mixed-method design, multimodal data from 41 tourism live streaming informants were collected, including facial emotion recognition via FaceReader software and semi-structured interviews. The results show that implicit expressions effectively captured short-lived and often negative emotions, such as anger or sadness, which were frequently underrepresented in verbal responses. In contrast, participants' self-report tended to highlight positive emotional memories, such as satisfaction, happiness, and inspiration. Dynamic temporal analyses further revealed distinct emotional patterns across three key phases of livestreaming experience: an anticipatory beginning, a peak interaction phase with high emotional volatility, and a reflective ending. These patterns suggest that emotional experience in TLS is phase-dependent and socially constructed through both interaction quality and content resonance. Furthermore, sentimental outcomes are reflected in core dimensions such as "enjoyment and autonomy", "inspiration and arousal", and "existence and identity".