Improving user satisfaction by analysing users’ subjective cognitive types in smart home systems-Reference-Cited by-同舟云学术

Improving user satisfaction by analysing users’ subjective cognitive types in smart home systems

Published:2023-03-21 Issue: Volume: Page:
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Author:

Zhang Na¹,Wang Shuyi²,Li Hesen²

Affiliation:

1. Shenyang University of Chemical Technology

2. Kyonggi University

Abstract

Abstract This research aims to identify the types of users' subjective preferences in smart home systems and build respective strategies to improve user satisfaction. Forty-one Q samples were collected and screened using the entropy weight method, and Q sorting on 30 P samples was performed. Three types of user preference cognition of smart home systems and their characteristics are obtained and analysed. The results showed that the smart home system design strategy comprised 5 design features and 15 design contents. This provides implications for research and development of the smart home system from the user's subjective preferences and needs.

Publisher

Research Square Platform LLC

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