A methodology for multisensory product experience design using cross-modal effect: A case of SLR camera
This work addresses the challenge of enhancing product sensory experiences for users in domains like consumer electronics, but it is incremental as it builds on existing cross-modal and Kansei modeling approaches.
The paper tackles the problem of designing multisensory product experiences by proposing a methodology that applies cross-modal effects to simultaneous stimuli, using SLR cameras as a case study to demonstrate its validity.
Throughout the course of product experience, a user employs multiple senses, including vision, hearing, and touch. Previous cross-modal studies have shown that multiple senses interact with each other and change perceptions. In this paper, we propose a methodology for designing multisensory product experiences by applying cross-modal effect to simultaneous stimuli. In this methodology, we first obtain a model of the comprehensive cognitive structure of user's multisensory experience by applying Kansei modeling methodology and extract opportunities of cross-modal effect from the structure. Second, we conduct experiments on these cross-modal effects and formulate them by obtaining a regression curve through analysis. Finally, we find solutions to improve the product sensory experience from the regression model of the target cross-modal effects. We demonstrated the validity of the methodology with SLR cameras as a case study, which is a typical product with multisensory perceptions.