Mask-Wearing Behavior Analysis by Using Expert Knowledge Acquisition Approach Under Covid-19 Situation

被引：0

作者：

Chen, Hsing-Chung ^{[1
,2
]}

Ho, Yu-Lun ^{[1
]}

Tseng, Shian-Shyong ^{[3
]}

机构：

[1] Asia Univ, Dept Comp Sci & Informat Engn, Lioufeng Rd,Wufeng 500, Taichung 413305, Taiwan

[2] China Med Univ, China Med Univ Hosp, Dept Med Res, Taichung 110122, Taiwan

[3] Asia Univ, Dept M Commerce & Multimedia Applicat, 500 Lioufeng Rd, Taichung 413305, Taiwan

来源：

INNOVATIVE MOBILE AND INTERNET SERVICES IN UBIQUITOUS COMPUTING, IMIS-2022 | 2022年 / 496卷

关键词：

DELPHI; PROTECTION;

D O I：

10.1007/978-3-031-08819-3_25

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

The continued prolongation of Covid-19 has a severe impact worldwide, especially in terms of livelihood and economy. However, in Taiwan, where the epidemic coverage rate is high, the recently confirmed case rate has also continued to rise. One of the possible reasons for this is the improper behavior of mask-wearing. Therefore, this study was conducted to acquire expert knowledge based on the modified Delphi method and collect expert knowledge from pharmacists working in the local drug store. In addition, the expert knowledge acquisition table is adopted the repertory grid approach which was a valuable interviewing technique. Finally, the inference rules are given by using the repertory grid approach.

引用

页码：247 / 258

页数：12

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