The rapid expansion of the smart tourism sector in China has intensified the demand for high quality smart guide applications. However, many existing products still suffer from usability flaws, including cluttered layouts, poor visual guidance, and high cognitive demands, which undermine visitor experience and limit industry competitiveness. Addressing this urgent gap, this study proposes and validates an eyetracking based usability evaluation model for smart guide tourism applications in China, aimed at optimising digital cultural tourism product design. Integrating Human Computer Interaction theory, Cognitive Load Theory, and the Technology Acceptance Model, the framework examines how interface usability influences user experience through emotional attractiveness, design complexity, perceived usefulness, perceived ease of use, and cognitive load. A mixed methods approach combined eye-tracking metrics, task performance indicators, and Likert scale ratings with structured interviews an.....

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