  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.
