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      https://www.riss.kr/link?id=A106000848

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      다국어 초록 (Multilingual Abstract)

      Objective: The aim of this study is to provide classification of the areas in the Driver"s windshield that will enhance your intuitive understanding. Background: Self-driving vehicles are emerging as a result of technological advances, and the rang...

      Objective: The aim of this study is to provide classification of the areas in the Driver"s windshield that will enhance your intuitive understanding.
      Background: Self-driving vehicles are emerging as a result of technological advances, and the range of human behavior is expanding. The collateral information on driving is increasing, and HUD is coupled with an augmented reality to convey information to the driver. Interference between the actual driving environment and the displayed information can cause distraction. Research is required to find out that which areas in driver"s WS are optimum, preferred and restricted to be displayed when displaying information.
      Method: Proceeding a test for 9 areas, which is carried out as a classification and grouping of the relevant factors in existing HUD researches, on driver"s side WS. The number of 18 participants have been acted LCT with driving simulator, and being measured by completion time and MCH handling quality.
      Results: In the intuitive perspective the vertically middle areas were the dominant positions all the time. Also the traffic congestion and participant"s state had affected on the interaction to areas.
      Conclusion: There are many legal regulations locating the HUD area to the middle on the WS, so this study proposed a secondary solution suggest and designated the worst area on considering LOA. For preparing new era of autonomous car industry, this study proposes the initial classification of the HUD location on driving.
      Application: Moreover, the purpose of this study is being the basis of the study that founds the groups of the optimum, preferred, restricted HUD areas for the near future with Autonomous Driving.

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      목차 (Table of Contents)

      • 1. Introduction
      • 2. Related Studies
      • 3. Method
      • 4. Results
      • 5. Discussion
      • 1. Introduction
      • 2. Related Studies
      • 3. Method
      • 4. Results
      • 5. Discussion
      • 6. Conclusion
      • References
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      참고문헌 (Reference)

      1 Wierwille, W.W., "validated rating scale for global mental workload measurement applications" Sage Publications 27 (27): 129-133, 1983

      2 Beggiato, M., "What would drivers like to know during automated driving? Information needs at different levels of automation"

      3 Remington, R.W., "Visual search in complex displays: Factors affecting conflict detection by air traffic controllers" 42 (42): 349-366, 2000

      4 Strayer, D.L., "Visual and Cognitive Demands of Using In-Vehicle Infotainment Systems"

      5 Lansdown, T.C., "Visual allocation and the availability of driver information. Traffic and Transport Psychology" Theory and Application 1997

      6 Lee, J.D., "Trust in automation: Designing for appropriate reliance" 46 (46): 50-, 2004

      7 Kohlhaas, R., "Towards driving autonomously: Autonomous cruise control in urban environments" IEEE 116-121, 2013

      8 Saarinen, J., "The speed of attentional shifts in the visual field" 88 (88): 1812-1814, 1991

      9 Jipp, M., "The impact of higher levels of automation on performance and situation awareness: a function of information-processing ability and working-memory capacity" 10 (10): 138-166, 2016

      10 Huang, C.H., "The effects of interface design for head-up display on driver behavior" 10 (10): 2058-2065, 2013

      1 Wierwille, W.W., "validated rating scale for global mental workload measurement applications" Sage Publications 27 (27): 129-133, 1983

      2 Beggiato, M., "What would drivers like to know during automated driving? Information needs at different levels of automation"

      3 Remington, R.W., "Visual search in complex displays: Factors affecting conflict detection by air traffic controllers" 42 (42): 349-366, 2000

      4 Strayer, D.L., "Visual and Cognitive Demands of Using In-Vehicle Infotainment Systems"

      5 Lansdown, T.C., "Visual allocation and the availability of driver information. Traffic and Transport Psychology" Theory and Application 1997

      6 Lee, J.D., "Trust in automation: Designing for appropriate reliance" 46 (46): 50-, 2004

      7 Kohlhaas, R., "Towards driving autonomously: Autonomous cruise control in urban environments" IEEE 116-121, 2013

      8 Saarinen, J., "The speed of attentional shifts in the visual field" 88 (88): 1812-1814, 1991

      9 Jipp, M., "The impact of higher levels of automation on performance and situation awareness: a function of information-processing ability and working-memory capacity" 10 (10): 138-166, 2016

      10 Huang, C.H., "The effects of interface design for head-up display on driver behavior" 10 (10): 2058-2065, 2013

      11 Watanabe, H., "The effect of HUD warning location on driver responses" 1999

      12 Smith, M., "The Effects of Augmented Reality Head-Up Displays on Drivers' Eye Scan Patterns, Performance, and Perceptions" 9 (9): 1-17, 2017

      13 Tönnis, M., "Survey and classification of head-up display presentation principles" 2009

      14 Green, P., "Suggested Human Factors Design Guidelines for Driver Information Systems" The University of Michigan Transportation Research Institute (UMTRI) 1994

      15 Saarinen, J., "Shifts of visual attention at fixation and away from fixation" 33 (33): 1113-1117, 1993

      16 Victor, T.W., "Sensitivity of eye-movement measures to in-vehicle task difficulty" 8 (8): 167-190, 2005

      17 Betancur, J. A., "Research topics and implementation trends on automotive head-up display systems" 12 : 199-214, 2018

      18 Betancur, J.A., "Physical Variable Analysis Involved in Head-Up Display Systems Applied to Automobiles"

      19 Beck, D., "Perceived Importance of Automotive HUD Information Items: a Study with Experienced HUD Users" 6 : 21901-21909, 2018

      20 Fadden, S., "Pathway HUDs: are they viable?" 43 (43): 173-193, 2001

      21 Wickens, C.D., "Noticing events in the visual workplace: The SEEV and NSEEV models" Handbook of Applied Perception 2014

      22 Young, M.S., "Malleable attentional resources theory: a new explanation for the effects of mental underload on performance" 44 (44): 365-375, 2002

      23 Tretten, P., "Information design solutions for automotive displays: focus on HUD" Luleå tekniska universitet 2011

      24 Charissis, V., "Human-machine collaboration through vehicle head up display interface" 12 (12): 41-50, 2010

      25 Weintraub, D.J., "Head-up display (HUD) utility, II: Runway to HUD transitions monitoring eye focus and decision times" 29 (29): 615-619, 1985

      26 Enderby, C., "Head-Up Display in Automotive/Aircraft Application" 1992

      27 Japanese Automobile Manufacturers Association (JAMA), "Guideline for In-Vehicle Display Systems-Version 3.0"

      28 Nunes, A., "Examining the viability of the Neisser search model in the flight domain and the benefits of highlighting in visual search" Sage Publications 50 (50): 35-39, 2006

      29 Horrey, W.J., "Examining the impact of cell phone conversations on driving using meta-analytic techniques" 48 (48): 196-205, 2006

      30 Plavšic, M., "Ergonomic design and evaluation of augmented reality based cautionary warnings for driving assistance in urban environments" 2009

      31 Wickens, C.D., "Engineering Psychology & Human Performance" Psychology Press 2015

      32 Wittmann, M., "Effects of display position of a visual in-vehicle task on simulated driving" 37 (37): 187-199, 2006

      33 황윤숙, "Effects of Augmented-Reality Head-up Display System Use on Risk Perception and Psychological Changes of Drivers" 한국전자통신연구원 38 (38): 757-766, 2016

      34 Park, J., "Effect of automotive head-up display (HUD) imagery location on driver preference associated with use of scrolling list while driving" 9 : 14-, 2015

      35 Green, P.A., "Driver Distraction/Overload Research and Engineering: Problems and Solutions" 3 : 141-153, 2010

      36 Wickens, C.D., "Driver Distraction. Theory, Effects and Mitigation" 249-279, 2008

      37 Knott, V.C., "Distraction and Driving Behavior by Presenting Information on an "Emissive Projection Display" Compared to a Head-Up Display" Springer International Publishing 13-23, 2015

      38 Yoo, H., "Display of HUD warnings to drivers: Determining an optimal location"

      39 Stevens, A., "Design guidelines for safety of in-vehicle information systems" TRL Limited 2002

      40 Rendón-Vélez, E., "Current Progress in Advanced Driver Assistance Systems: A Structured Analyis"

      41 Carsten, O., "Control task substitution in semiautomated driving: Does it matter what aspects are automated?" 54 (54): 747-761, 2012

      42 Morita, K., "Consideration on Appropriate Display Area for Head-Up Displays" 2007

      43 Fitts, P.M., "Cognitive aspects of information processing: III. Set for speed versus accuracy" 71 (71): 849-857, 1966

      44 Blankenbach, K., "Automotive Displays from Direct View to AR Head-Up" 2018

      45 Krose, B.J.A., "Automatic or voluntary allocation of attention in a visual search task" 21-28, 1990

      46 Häuslschmid, R., "Augmenting the Driver's View with Peripheral Information on a Windshield Display" ACM 311-321, 2015

      47 Guo, H., "Analyzing drivers' attitude towards HUD system using a stated preference survey" 6 : 380647-, 2014

      48 National Highway Traffic Safety Administration, "Agency Request for Approval of a New Information Collection: Recruitment and Debriefing of Human Subjects for Head-Up Displays and Distraction Potential" 141-142, 2016

      49 Jose, R., "A Comparative Study of Simulated Augmented Reality Displays for Vehicle Navigation" 40-48, 2016

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      학술지 이력

      학술지 이력
      연월일 이력구분 이력상세 등재구분
      2026 평가예정 재인증평가 신청대상 (재인증)
      2020-01-01 평가 등재학술지 유지 (재인증) KCI등재
      2017-01-01 평가 등재학술지 유지 (계속평가) KCI등재
      2013-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2010-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2008-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2005-01-01 평가 등재학술지 선정 (등재후보2차) KCI등재
      2004-01-01 평가 등재후보 1차 PASS (등재후보1차) KCI등재후보
      2003-01-01 평가 등재후보학술지 유지 (등재후보1차) KCI등재후보
      2002-01-01 평가 등재후보 1차 FAIL (등재후보1차) KCI등재후보
      1999-07-01 평가 등재후보학술지 선정 (신규평가) KCI등재후보
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      학술지 인용정보

      학술지 인용정보
      기준연도 WOS-KCI 통합IF(2년) KCIF(2년) KCIF(3년)
      2016 0.1 0.1 0.14
      KCIF(4년) KCIF(5년) 중심성지수(3년) 즉시성지수
      0.15 0.19 0.306 0.02
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