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[학술저널]

Developing Visual Complexity Metrics for Automotive Human-Machine Interfaces

  • 학술저널

Developing Visual Complexity Metrics for Automotive Human-Machine Interfaces

Ji Man Kim(Yonsei University) Hwan Hwangbo(Yonsei University) Yong Gu Ji(Yonsei University)

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리뷰 30

이용수 71

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초록

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.

목차

1. Introduction
2. Related Study
3. A Framework for Developing the Visual Complexity Metrics
4. Conclusion
References

참고문헌(30)

  • 1.

    Alemerien, K. , 2014 , GUIEvaluator: A Metric-tool for Evaluating the Complexity of Graphical User Interfaces , 2014 International Conference on Software Engineering & Knowledge Engineering

  • 2.

    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

  • 3.

    Burnett, G.E. , 2001 , Ubiquitous computing within cars: designing controls for non-visual use , International Journal of Human-Computer Studies 55 (4) : 521 ~ 531

  • 4.

    Castro, C , 2008 , Human factors of visual and cognitive performance in driving , CRC Press

  • 5.

    Cummings, M.L. , 2010 , Human-system interface complexity and opacity part i: literature review , Massachusettes Institute of Technology

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