Qin Lai

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About

Qin Lai is a rising scholar at the intersection of tourism technology and human-robot interaction, with a primary research focus on service robot adoption in hospitality and tourism contexts. Their most-cited work, "Rational, emotional or both: Decoding service robot adoption in tourism from elaboration likelihood model perspective" (2025), makes a significant theoretical contribution by integrating the Elaboration Likelihood Model (ELM) to examine how both rational assessments of intelligent service quality and emotional cues shape users' adoption intentions. This dual-pathway approach offers a nuanced understanding of consumer decision-making, moving beyond purely utilitarian frameworks. While still early in their career with 3 citations on this flagship paper, Lai's work is already positioned at the forefront of a critical debate in tourism technology: whether adoption is driven by cognitive evaluation or affective response. Their research holds practical implications for designing service robots that appeal to both the head and the heart, potentially influencing industry standards for human-robot interaction in hospitality settings. As the field of AI-driven tourism services expands, Lai's integrative framework provides a valuable roadmap for future empirical investigations.