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Effect of Problematic Frequency Types of the Korean Public Alert Service (KPAS) on Adjustment Expectation

재난문자의 문제적 빈도 유형이 조절기대에 미치는 영향

  • Lee, Hyunji (School of Electrical and Computer Engineering, University of Seoul) ;
  • Byun, Yoonkwan (School of Electrical and Computer Engineering, University of Seoul) ;
  • Chang, Sekchin (School of Electrical and Computer Engineering, University of Seoul) ;
  • Choi, Seong Jong (School of Electrical and Computer Engineering, University of Seoul)
  • 이현지 (서울시립대학교 전자전기컴퓨터공학부) ;
  • 변윤관 (서울시립대학교 전자전기컴퓨터공학부) ;
  • 장석진 (서울시립대학교 전자전기컴퓨터공학부) ;
  • 최성종 (서울시립대학교 전자전기컴퓨터공학부)
  • Received : 2021.09.23
  • Accepted : 2021.11.02
  • Published : 2021.11.30

Abstract

The frequency of KPAS alerts is causing the behavior of blocking KPAS alerts. It is necessary to control the frequency of KPAS alerts to prevent this behavior. This study analyzed the effect of problematic frequency types on the adjustment expectation of KPAS alerts. Three types of problematic frequency were selected: dailiness, other areas, similarity. An online survey with 1,212 participants was analyzed, with the following result. The three types of problematic frequency positively influenced the adjustment expectation of KPAS alerts. It turned out that the unique contribution of individual variables was found in the order of similarity, other areas, and dailiness. These results are meaningful in that they can be used as basic data for the improvement of the frequency of KPAS alerts.

재난문자의 빈도가 재난문자의 차단 행위를 유발시키고 있다. 이 행위를 방지하기 위해서는 재난문자의 빈도를 조절할 필요가 있다. 본 연구는 재난문자의 문제적 빈도 유형이 재난문자 조절기대에 미치는 영향에 대해 분석하였다. 문제적 빈도 유형으로 일상성 빈도, 타 지역 빈도, 유사성 빈도를 선정하였다. 리서치 회사를 통해 총 1,212명을 대상으로 온라인 설문조사를 시행하였다. 연구 결과, 재난문자 조절기대에 일상성 빈도, 타 지역 빈도, 유사성 빈도가 정적으로 영향을 미치는 것으로 나타났다. 개별변인의 고유기여도는 유사성 빈도, 타 지역 빈도, 일상성 빈도 순 으로 나타났다. 이러한 연구 결과는 재난문자의 빈도를 개선하는 기본 자료로 활용될 수 있다는 점에서 의의가 있다.

Keywords

Acknowledgement

This research was supported by Disaster-Safety Platform Technology Development Program of the National Research Foundation of Korea (NRF) funded by the Ministry of Science and ICT (NRF-2018M3D7A1084906).

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