ArticleSensors (Basel, Switzerland)2024
Predicting Sensory and Affective Tactile Perception from Physical Parameters Obtained by Using a Biomimetic Multimodal Tactile Sensor.
Article in Sensors (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed.
- Recent Advances in High-Performance Bioinspired Sustainable Materials for Automotive Applications.Materials (Basel, Switzerland) · 2026Review
- Investigating perceptual discrimination thresholds for attributes of whole-body vibration.Scientific reports · 2026Article
- Youth green aesthetic perception and psychological influence on the adoption of sustainable packaging for biomimetic cultural products in social media environments.Frontiers in psychology · 2026Article
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Authors and funding
3 authors.
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Abstract
Tactile perception plays a crucial role in the perception of products and consumer preferences. This perception process is structured in hierarchical layers comprising a sensory layer (soft and smooth) and an affective layer (comfort and luxury). In this study, we attempted to predict the evaluation score of sensory and affective tactile perceptions of materials using a biomimetic multimodal tactile sensor that mimics the active touch behavior of humans and measures physical parameters such as force, vibration, and temperature. We conducted sensory and affective descriptor evaluations on 32 materials, including cosmetics, textiles, and leather. Using the physical parameters obtained by the biomimetic multimodal tactile sensor as explanatory variables, we predicted the scores of the sensory and affective descriptors in 10 regression models. The bagging regressor demonstrated the best performance, achieving a coefficient of determination (
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