A Study on Narrative Expression and Audience Engagement in Museum Exhibition Design from the Perspective of Interaction Design
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Abstract
Museum exhibition design often suffers from fragmented narrative logic and one-way information interaction, leading to a mismatch between exhibition narrative value and audience engagement depth. To address this issue, this paper constructs a narrative exhibition design framework from the perspective of interaction design. By establishing an interaction model of information flow, behavior flow, and emotional flow, the study proposes a system optimization path based on user behavior data and spatial feedback loops. Eye-tracking and behavior recording technologies are used to collect browsing paths and dwell times from 120 visitors in different exhibition areas, forming an interactive behavior database. A multidimensional interaction matrix is then established based on content narrative nodes and audience behavior responses, and cluster analysis and weight allocation are applied to optimize the narrative structure. Prototype exhibition interface testing is conducted, and facial recognition and questionnaires are used to evaluate changes in audience emotion. The results show that the optimized exhibition model increases average visitor dwell time by 32.5% and interaction triggers by 40.7%, verifying the effectiveness of interaction design in narrative expression and participation enhancement.
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