Abstract

Tactile sensation is one type of valuable feedback in evaluating a product. Conventionally, sensory evaluation is used to get direct subjective responses from the consumers, in order to improve the product’s quality. However, this method is a time-consuming and costly process. Therefore, this paper proposes a novel tactile evaluation system that can give tactile feedback from a sensor’s output. The main concept of this system is hierarchically layering the tactile sensation, which is inspired by the flow of human perception. The tactile sensation is classified from low-order of tactile sensation (LTS) to high-order of tactile sensation (HTS), and also to preference. Here, LTS will be correlated with physical measures. Furthermore, the physical measures that are used to correlate with LTS are selected based on four main aspects of haptic information (roughness, compliance, coldness, and slipperiness), which are perceived through human tactile sensors. By using statistical analysis, the correlation between each hierarchy was obtained, and the preference was derived in terms of physical measures. A verification test was conducted by using unknown samples to determine the reliability of the system. The results showed that the system developed was capable of estimating preference with an accuracy of approximately 80%.

Highlights

  • A product’s tactile sensation is one of the imperative factors in making the decision to purchase a product, besides its functionality and usability [1]

  • Consumers usually evaluate products through multimodal senses: sight, smell, touch, and so on, but this paper focuses on the tactile aspect of product evaluation

  • From the the survey survey data data of sensory sensory evaluation, evaluation, principal principal component component analysis analysis with with varimax varimax was carried out using statistical analysisanalysis softwaresoftware

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Summary

Introduction

A product’s tactile sensation is one of the imperative factors in making the decision to purchase a product, besides its functionality and usability [1]. Previous works can be roughly classified into two categories by looking to the type of samples that are used in the product’s evaluation: (1) works that used samples that were taken from the outer layer of an object [5,11] or cut off small part from the object [12,13,14]; and (2) works that used the final end-product as the samples [15,16,17] The latter type of sample may help us to include information from both of the two modalities (kinesthetic and cutaneous); the surface texture and the tension, shape, and so on.

Concept
Method Responses of Samples
Principal
Result
Data Collection of Physical Measures
Vibration
Experimental
Thermal
Correlation
Verification
D D D c c c c
Findings
Discussion and Conclusions
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