ABSTRACT In this study, we present an integrated intelligent tactile sensing platform designed to digitize the complex human sensory perception of semi‐solid formulations by quantifying their dynamic frictional behavior. To overcome the subjectivity of traditional sensory panels, our platform utilizes a tactile friction sensor to capture time‐dependent spreading dynamics with high precision. By applying exponential decay analysis to the raw frictional data, we extracted four physically interpretable parameters: static response peak, decay amplitude, decay rate, and plateau level. These parameters reflect distinct tactile characteristics such as spreading, lubrication transition, and residue. Multivariate regression analysis demonstrates a hierarchical predictive performance for tactile attributes. Primary attributes such as smoothness, stickiness, and thickness exhibited strong correlations with R 2 values exceeding 0.82. Secondary attributes maintained reliable predictive accuracy between 0.72 and 0.74. Notably, residue achieved a significant correlation of 0.62, quantifying a complex sensory dimension that is traditionally difficult to measure mechanically. These findings demonstrate that time‐dependent frictional dissipation more effectively represents tactile perception dynamics than conventional single‐point analyses. Overall, this approach provides a practical and reproducible framework for predicting multiple sensory attributes from a single measurement, with broad applicability in the digitization of cosmetic and pharmaceutical products.
Lee et al. (Fri,) studied this question.