Research on Interactive Design and User Experience of Virtual Digital Man in Cultural Travel Service

Abstract

The tourism industry is accelerating towards the integration of immersion and intelligence, but the existing service system is difficult to give consideration to real-time interaction and emotional depth. Based on the five-dimensional interactive framework of perception-response-immersion-emotion-memory, this paper constructs a closed-loop design scheme of virtual digital people in the cultural travel scene. Firstly, multi-sensors are used to collect tourists' voices, gestures, and position streams in parallel to form high-frequency multi-modal input. Secondly, an adaptive weight decision pipeline is designed to align and dynamically weight heterogeneous features. Thirdly, the Long Short-Term Memory-Attention prediction model is proposed to visualize the interaction effect by three-dimensional thermal map. Finally, comparative experiments are used to verify the experience improvement of the proposed method. The research provides a systematic design paradigm and quantitative evaluation ideas for digital people-driven cultural travel services.