A Fuzzy Comprehensive Evaluation Study on the Performance of Age-Friendly Digital Retrofit Based on User Experience: Take the “Elder Mode” App as an Example

Abstract

To study the digital needs, activities, and experiences of elderly users, evaluate the performance of age-friendly digital retrofit, and provide a path to bridge the digital divide among elderly users. Based on the user experience perspective, the age-friendly evaluation model of the “elder mode” APP was constructed, the index weights were determined based on the entropy weight method, and WeChat, Alipay, ZOA, and ZARA of the “elder mode” were selected as the research objects. We use questionnaires and in-depth interviews to collect user data and use a fuzzy comprehensive evaluation method for empirical evaluation. The overall experience of elderly users on the four APPs is at the upper level of “generally satisfied,” among which the age-friendly level of “visual experience” and “behavioral experience” is high, while the level of “interaction experience” and “value experience” needs to be improved. In particular, attention needs to be paid to the retrofit of the fault-tolerant mechanism, toughness, and error correction of digital products. The paper proposes countermeasures in terms of enhancing the compatibility of interface elements of digital products, optimizing embedded interaction procedures, improving human-computer interaction options, enhancing fault tolerance of operations, and improving age-friendly continuity and thoroughness.

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