From Personalization Potential to Interactive Museum Experiences
DOI:
https://doi.org/10.5753/jis.2026.7334Keywords:
Interactive Systems, Scenario-Based Personalization, Human–Computer Interaction, Behavioral Modeling, Audiovisual Interfaces, Recommendation Systems, Museum TechnologiesAbstract
Museums are increasingly adopting interactive, adaptive, and data-driven technologies, yet their conceptual integration into exhibition design often remains underexamined. Visitor behavior follows recurrent patterns shaped by personal, physical, and social factors, calling for approaches that balance technological potential with curatorial control. This paper presents a scenario-based approach to interactive museum systems, distinguishing interactivity, adaptivity, and personalization with personalization as the core design principle. The approach uses behavioral typologies to define scenario branching, eliminating the need for real‑time individual user profiling. A mixed conceptual and design-oriented methodology synthesizes museum studies, interaction design, and learning models to derive visitor typologies. These typologies approximate diverse behaviors into finite pattern types. Interactivity is conceptualized as trigger points embedded in the exhibition narrative, activating predefined scenario branches. The framework is implemented in Écho d’Azur, an interactive installation combining audiovisual media with machine-learning-based emotion recognition. Results show that scenario-based personalization enables controlled, multidimensional narrative structures, shifting from linear storytelling. Attention management is supported through spatial layout, audiovisual components, and interaction points based on behavioral patterns. Real-time adaptation is contrasted with design-time personalization, reducing technical complexity and ethical concerns while maintaining curatorial coherence. Thus, scenario-based personalization offers a viable framework for interactive museum design, supporting diverse visitor behaviors without continuous real-time adaptation.
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