ChatGPT Coolness-Desirable Framework for Tourism and Hospitality
研究了ChatGPT的酷感特征如何影响用户在搜索旅游和酒店选项时的体验与感知，提出了一个酷感-渴望框架，发现原创性、有用性等属性塑造酷感，温暖感增强而能力感削弱酷感与渴望的关系。
This paper explores how the coolness characteristics of ChatGPT affect user experiences and perceptions when searching for hospitality and tourism options and proposes a ChatGPT coolness-desirable framework. This research uses mixed methods to explore the coolness attributes of ChatGPT. We conducted two qualitative studies to obtain initial insights, which were complemented by a confirmatory study to reveal the associations between user perceptions of ChatGPT coolness, attitudes, and desires toward its use. The final experiment confirms the effect of warmth and competence on the desire to continue to use ChatGPT. Our findings show that originality, usefulness, popularity, energy, and subculture play a crucial role in building ChatGPT coolness. We unveil that favorable attitudes toward the relational experience of artificial intelligence significantly fuel a passionate desire to maintain and deepen this interaction. Warmth judgment strengthens the link between ChatGPT coolness and desire, while competence weakens the association between ChatGPT coolness and attitude.