모바일 기기의 사용 패턴에 따른 위험 상황 분석
Risk Situation Analysis with Usage Patterns of Mobile Devices
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This paper confirms the risk of using smartphone through the analysis of collected usage pattern and proposes the smartphone intervention system in risk situations. In order to check the risk of smartphone usage, we made information collecting application and collected smartphone usage pattern from 11 experiment participants for two months. By analyzing smartphone usage pattern, we confirmed that about 12% of smartphone usage is being used in driving, walking, and on the street. In addition, we analyzed the response rate of smartphone notification in risk situations and confirmed that user responds the smartphone notifications in real-time even in risk situations. Therefore, it is required to present a system that intervenes the use of smartphone in order to protect smartphone users in risk situations. In this paper, we classify risk situations of using smartphone. Also, the proposed smartphone intervention system is designed to periodically detect risk situations. In risk situations, smartphone function can be restricted according to user setting of smartphone. And smartphone can be used normally when safe situation is restored.
Abstract
This paper confirms the risk of using smartphone through the analysis of collected usage pattern and proposes the smartphone intervention system in risk situations. In order to check the risk of smartphone usage, we made information collecting application and collected smartphone usage pattern from 11 experiment participants for two months. By analyzing smartphone usage pattern, we confirmed that about 12% of smartphone usage is being used in driving, walking, and on the street. In addition, we analyzed the response rate of smartphone notification in risk situations and confirmed that user responds the smartphone notifications in real-time even in risk situations. Therefore, it is required to present a system that intervenes the use of smartphone in order to protect smartphone users in risk situations. In this paper, we classify risk situations of using smartphone. Also, the proposed smartphone intervention system is designed to periodically detect risk situations. In risk situations, smartphone function can be restricted according to user setting of smartphone. And smartphone can be used normally when safe situation is restored.
참고문헌 (14)
- 나의현, "스마트폰 중독", 대한내과학회지, 91(3), pp.245~249 (2016), 대한내과학회[DOI]
- Minsam Ko, "An Analysis of Mobile Apps for Intervening Excessive Smartphone Usage:Intervention Method Perspectives", HCI 2014, pp.747~750 (2014)
- Kang-Tak Oh, "The 'Smart Life'Revolution and Smart Phone Addiction", Internet and Information Security, 3(4), pp.21~43 (2012)
- Meunghee Kim, "A Study on the Correlation between the use of smartphone and the traffic safety", The Korea Institute of Intelligent Transport System 2015, pp.72~ (2015)
- "Policy briefing "The Korea Communications Commission (KCC) will take the lead in safeguarding the safety of smartphone""[URL]
- 은윤규, "모바일 감지 서비스의 신뢰성 향상을 위한 동적 인지 기법 연구 및 개발", 한국산학기술학회논문지, 16(5), pp.3412~3420 (2015), 한국산학기술학회[DOI]
- 윤태하, "스마트폰 센서 기반 상황인식 시스템 연구 및 설계", 멀티미디어학회논문지, 18(3), pp.408~418 (2015), 한국멀티미디어학회[DOI]
- Hoseok Seo, "A user behavior analysis application exploiting the sensor information of smartphones", Korea Information Science Society 2011, pp.101~104 (2011)
- 오성균, "스마트폰을 이용한 사용자의 실생활 정보 분석 및응용 서비스 개발", 한국산학기술학회논문지, 14(12), pp.6441~6446 (2013), 한국산학기술학회[DOI]
- 이숙정, "스마트폰 중독방지 앱의 자기결정적 동기화 속성에 관한 내용분석: 자기결정성 이론을 중심으로", 한국콘텐츠학회 논문지, 16(4), pp.12~22 (2016), 한국콘텐츠학회[DOI]
- Heyoung Lee, "The SAMS : Smartphone Addiction Management System and Verification", Journal of Medical Systems, 38(1), pp.1~10 (2014)[DOI]
- Minsam Ko, "Lock n' LoL: Group-based Limiting Assistance App to Mitigate Smartphone Distractions in Group Activities", 2016 CHI conference, pp.998~1010 (2016)
- 장석용, "운전 중 스마트폰 이용이 교통안전에 미치는 영향 연구", 교통연구, 19(2), pp.75~91 (2012), 한국교통연구원[DOI]
- Abhinav Mehrotra, "My Phone and Me:Understanding People's Receptivity to Mobile Notifications", Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems, pp.1021~1032 (2016)