A Performance Evaluation Matrix for Measuring the Life Satisfaction of Older Adults Using eHealth Wearables

Abstract

eHealth wearables can track users’ state of health, record their physiological data, and facilitate self-care. In this study, we examined whether they enhance older adults’ casual exercise willingness and life satisfaction. After reviewing the related literature, the performance and satisfaction of elements for older adults to use eHealth Wearables were determined. The elements were derived from the means–end chain analysis. Three dimensions, product attributes, beneficial consequences, personal values, and responding elements, were identified first. The Performance Evaluation Matrix (PEM) was then established to determine the elements to be improved. A total of 250 questionnaires were distributed, out of which 206 valid questionnaires were completed and returned. In the proposed PEM, the product attributes that were in the priority improvement zone were accessibility, learnability, usability, affordability, positioning, pedometer, heart rate monitor, and data feedback. These elements are the most essential properties in need of improvement.

Associations between perceived usefulness and willingness to use smart healthcare devices among Chinese older adults: The multiple mediating effect of technology interactivity and technology anxiety

“… 37 Older adults can access a variety of health information through smart health devices to help with self-health management. 38 The elderly’s ability to use the diverse functions of smart health devices as needed familiarizes themselves with various interaction mechanisms. Exchange information with others through these mechanisms can enhance their knowledge and problem-solving abilities, as well as their self-confidence, leading to a greater willingness to accept and use smart recreational devices.…”

Fuzzy Decision-Making and Resource Management Model of Performance Evaluation Indices

“…The Performance Evaluation Matrix (PEM) is an outstanding evaluation and improvement tool for various service operating systems [1][2][3][4]. Many papers have been devoted to conducting research into the PEM, aiming to evaluate the performance of various service operating systems and determine whether they have reached the required level [5][6][7].…”

Cybersecurity Analysis of Wearable Devices: Smartwatches Passive Attack

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