Product design driven by biosensors: Improving interactivity and user experience
Abstract
Product design has increasingly become the process of creating stronger relationships between people and products while improving utility and emotional involvement in today’s fast-paced technological environment. Biosensors that measure physiological and neurological responses have been revolutionary tools in this field. To establish the biosensor-driven design methodology to enhance interactivity and user experience in cultural and creative product design. The device employs electroencephalography (EEG), a sophisticated biosensor, to capture users’ emotional states and preferences as they interact with various cultural elements. The pleasure-arousal-dominance (PAD) model is used to evaluate EEG data. To extract consumers’ perceptual image semantics for product design, factor analysis is used concurrently. An Intelligent Sea Lion Optimization (ISLO), combined with a Resilient Long Short-Term Memory (RLSTM), evaluates user interaction, reducing fatigue from repeated interactions. Designers employ cultural factors to inform the first product prototypes, and the system iteratively refines ideas by matching them to the emotional demands of users. The results indicate the effectiveness of integrating user feedback into interactive design processes. As a result, the ISLO-RLSTM method performed better in RMSE at 1.58, MAE at 1.22, and MSE at 2.17. This approach demonstrates the way biosensors can revolutionize product creation and improve user experiences by bridging the gap between functional design and emotional engagement.
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