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

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Innovative Mobile and Internet Services in Ubiquitous Computing (IMIS 2022)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 496))

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Abstract

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.

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Acknowledgments

This work was supported by the Ministry of Science and Technology (MOST), Taiwan, under MOST grant numbers below. 111-2218-E-468-001-MBK, 110-2218-E-468-001-MBK, 110-2221-E-468-007, and 110-2218-E-002-044. This work was also supported in part by the Ministry of Education under grant number. I109MD040. This work was supported in part by Asia University, Taiwan, and China Medical University Hospital, China Medical University, Taiwan, under grant numbers below. ASIA-110-CMUH-22, ASIA108-CMUH-05, ASIA-106-CMUH-04, and ASIA-105-CMUH-04.

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Authors and Affiliations

  1. Department of Computer Science and Information Engineering, Asia University, Lioufeng Road, Wufeng, No. 500, Taichung, 413305, Taiwan

    Hsing-Chung Chen & Yu-Lun Ho

  2. Department of Medical Research, China Medical University Hospital, China Medical University, Taichung, 110122, Taiwan

    Hsing-Chung Chen

  3. Department of M-Commerce and Multimedia Applications, Asia University, 500, Lioufeng Road, Wufeng, Taichung, 413305, Taiwan

    Shian-Shyong Tseng

Authors
  1. Hsing-Chung Chen
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  2. Yu-Lun Ho
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  3. Shian-Shyong Tseng
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Correspondence to Hsing-Chung Chen .

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Editors and Affiliations

  1. Department of Information and Communication Engineering, Fukuoka Institute of Technology, Fukuoka, Japan

    Leonard Barolli

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Chen, HC., Ho, YL., Tseng, SS. (2022). Mask-Wearing Behavior Analysis by Using Expert Knowledge Acquisition Approach Under Covid-19 Situation. In: Barolli, L. (eds) Innovative Mobile and Internet Services in Ubiquitous Computing. IMIS 2022. Lecture Notes in Networks and Systems, vol 496. Springer, Cham. https://doi.org/10.1007/978-3-031-08819-3_25

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