A Study on Consumers' Visual Image Evaluation of Wrist Wearables.

Liang-Ming Jia,Fang-Wu Tung

doi:10.3390/e23091118

Abstract

This study aimed to investigate consumers’ visual image evaluation of wrist wearables based on Kansei engineering. A total of 8 representative samples were screened from 99 samples using the multidimensional scaling (MDS) method. Five groups of adjectives were identified to allow participants to express their visual impressions of wrist wearable devices through a questionnaire survey and factor analysis. The evaluation of eight samples using the five groups of adjectives was analyzed utilizing the triangle fuzzy theory. The results showed a relatively different evaluation of the eight samples in the groups of “fashionable and individual” and “rational and decent”, but little distinction in the groups of “practical and durable”, “modern and smart” and “convenient and multiple”. Furthermore, wrist wearables with a shape close to a traditional watch dial (round), with a bezel and mechanical buttons (moderate complexity) and asymmetric forms received a higher evaluation. The acceptance of square- and elliptical-shaped wrist wearables was relatively low. Among the square- and rectangular-shaped wrist wearables, the greater the curvature of the chamfer, the higher the acceptance. Apparent contrast between the color of the screen and the casing had good acceptance. The influence of display size on consumer evaluations was relatively small. Similar results were obtained in the evaluation of preferences and willingness to purchase. The results of this study objectively and effectively reflect consumers’ evaluation and potential demand for the visual images of wrist wearables and provide a reference for designers and industry professionals.

Highlights

With the COVID-19 pandemic, people are gradually becoming more focused on their health, including maintaining physical health, strengthening their immunity and preventing disease
Following the acquisition of the triangular fuzzy numbers, this study proposed to apply the method presented by Chen in 1985, which aimed to defuzzify the triangular fuzzy numbers in the affiliation function using the maximization set and the minimization set and the total utility or order value of the sample is determined by the weights of these two triangular fuzzy numbers [73,74]
The representative samples screened by multidimensional scaling (MDS) were partially similar to the results of Zhao et al [27]

Summary

Introduction

With the COVID-19 pandemic, people are gradually becoming more focused on their health, including maintaining physical health, strengthening their immunity and preventing disease. 2020, Gartner forecasts that it will grow by 18.1% to USD 81.5 billion in 2021 and maintain a year-on-year increase in the few years, reaching USD 109 billion in 2024 [6,7]. Similar to smartphones, achieve multiple functional uses for consumers, are equipped with various operating systems to assist people in continuously receiving physiological data, such as heart rate, sleep quality and body temperature, while providing reference to other parameters of the body, accessing more health information and effective health management for themselves and improving their quality of life [3,8,9,10]

Objectives

Results

Conclusion