지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
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초록· 키워드
오류제보하기
Objective: The purpose of this study is to develop visual complexity metrics based on theoretical bases.
Background: With the development of IT technologies, drivers process a large amount of information caused by automotive human-machine interface (HMI), such as a cluster, a head-up display, and a center-fascia. In other words, these systems are becoming more complex and dynamic than traditional driving systems. Especially, these changes can lead to the increase of visual demands. Thus, a concept and tool is required to evaluate the complicated systems.
Method: We reviewed prior studies in order to analyze the visual complexity. Based on complexity studies and human perceptual characteristics, the dimensions characterizing the visual complexity were determined and defined.
Results: Based on a framework and complexity dimensions, a set of metrics for quantifying the visual complexity was developed.
Conclusion: We suggest metrics in terms of perceived visual complexity that can evaluate the in-vehicle displays.
Application: This study can provide the theoretical bases in order to evaluate complicated systems. In addition, it can quantitatively measure the visual complexity of In-vehicle information system and be helpful to design in terms of preventing risks, such as human error and distraction.
Background: With the development of IT technologies, drivers process a large amount of information caused by automotive human-machine interface (HMI), such as a cluster, a head-up display, and a center-fascia. In other words, these systems are becoming more complex and dynamic than traditional driving systems. Especially, these changes can lead to the increase of visual demands. Thus, a concept and tool is required to evaluate the complicated systems.
Method: We reviewed prior studies in order to analyze the visual complexity. Based on complexity studies and human perceptual characteristics, the dimensions characterizing the visual complexity were determined and defined.
Results: Based on a framework and complexity dimensions, a set of metrics for quantifying the visual complexity was developed.
Conclusion: We suggest metrics in terms of perceived visual complexity that can evaluate the in-vehicle displays.
Application: This study can provide the theoretical bases in order to evaluate complicated systems. In addition, it can quantitatively measure the visual complexity of In-vehicle information system and be helpful to design in terms of preventing risks, such as human error and distraction.
목차
1. Introduction
2. Related Study
3. A Framework for Developing the Visual Complexity Metrics
4. Conclusion
References
참고문헌 (30)
참고문헌 신청
[학술대회논문] - Alemerien, K. / 2014 / GUIEvaluator: A Metric-tool for Evaluating the Complexity of Graphical User Interfaces / 2014 International Conference on Software Engineering & Knowledge Engineering
[학술대회논문] - Bengtsson, P. / 2003 / Haptic/graphic interface for in-vehicle comfort functions-a simulator study and an experimental study / In Haptic, Audio and Visual Environments and Their Applications, 2003. HAVE 2003. Proceedings. The 2nd IEEE International Workshop on : 25 ~ 29
[학술지(정기간행물)] - Burnett, G.E. / 2001 / Ubiquitous computing within cars: designing controls for non-visual use / International Journal of Human-Computer Studies 55 (4) : 521 ~ 531
[단행본] - Castro, C / 2008 / Human factors of visual and cognitive performance in driving / CRC Press
[학술지(정기간행물)] - Cummings, M.L. / 2010 / Human-system interface complexity and opacity part i: literature review / Massachusettes Institute of Technology
[학술대회논문] - Bengtsson, P. / 2003 / Haptic/graphic interface for in-vehicle comfort functions-a simulator study and an experimental study / In Haptic, Audio and Visual Environments and Their Applications, 2003. HAVE 2003. Proceedings. The 2nd IEEE International Workshop on : 25 ~ 29
[학술지(정기간행물)] - Burnett, G.E. / 2001 / Ubiquitous computing within cars: designing controls for non-visual use / International Journal of Human-Computer Studies 55 (4) : 521 ~ 531
[단행본] - Castro, C / 2008 / Human factors of visual and cognitive performance in driving / CRC Press
[학술지(정기간행물)] - Cummings, M.L. / 2010 / Human-system interface complexity and opacity part i: literature review / Massachusettes Institute of Technology
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UCI(KEPA) : I410-ECN-0101-2016-530-001700234