Journal of the Ergonomics Society of Korea (대한인간공학회지)

Ergonomics Society of Korea (대한인간공학회)
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Developing Visual Complexity Metrics for Automotive Human-Machine Interfaces

  • Kim, Ji Man (Department of Information and Industrial Engineering, Yonsei University) ;
  • Hwangbo, Hwan (Department of Information and Industrial Engineering, Yonsei University) ;
  • Ji, Yong Gu (Department of Information and Industrial Engineering, Yonsei University)
  • Received : 2015.03.25
  • Accepted : 2015.05.15
  • Published : 2015.06.30
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Abstract

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.

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References

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