Exploring the critical quality attributes and models of smart homes

CCUR > College of Journalism and Mass Communications > Department of Advertising > journal articles > Item 987654321/32081

Please use this identifier to cite or link to this item: https://irlib.pccu.edu.tw/handle/987654321/32081

Title:	Exploring the critical quality attributes and models of smart homes
Authors:	Luor, Tainyi Lu, Hsi-Peng Yu, Hueiju Lu, Yinshiu
Contributors:	廣告系
Keywords:	Smart home Kano model Home entertainment Home security Home automation Theory of planned behavior
Date:	2015-12
Issue Date:	2016-02-26 09:19:25 (UTC+8)
Abstract:	Research on smart homes has significantly increased in recent years owing to their considerably improved affordability and simplicity. However, the challenge is that people have different needs (or attitudes toward smart homes), and provision should be tailored to individuals. A few studies have classified the functions of smart homes. Therefore, the Kano model is first adopted as a theoretical base to explore whether the functional classifications of smart homes are attractive or necessary, or both. Second, three models and test user attitudes toward three function types of smart homes are proposed. Based on the Kano model, the principal results, namely, two "Attractive Quality" and nine "Indifferent Quality" items, are found. Verification of the hypotheses also indicates that the entertainment, security, and automation functions are significantly correlated with the variables "perceive useful" and "attitude." Cost consideration is negatively correlated with attitudes toward entertainment and automation. Results suggest that smart home providers should survey user needs for their product instead of merely producing smart homes based on the design of the builder or engineer. (C) 2015 Elsevier Ireland Ltd. All rights reserved.
Relation:	MATURITAS 卷: 82 期: 4 頁碼: 377-386
Appears in Collections:	[Department of Advertising ] journal articles

Files in This Item:

File	Description	Size	Format
index.html		0Kb	HTML	694	View/Open

View Licence

Loading...