Investigating the Effective Factors in the Positioning of the Vehicle’s Multimedia with the Approach of Mitigating the Reflection While Nighttime Driving

Objectives: Nowadays, using digital displays in vehicles has become very common. Therefore, the reflection display screen issue as a virtual image on the vehicle's side windows at night is a controversial item in the ergonomics position of the designed display. Given the high importance of visual tasks, it is necessary to consider ergonomics considerations during vehicle design to achieve an optimal display position. Methods: In the current study, by identifying the factors affecting the placement of the central display inside the vehicle and assigning level values for them, using the design of experiment statistical method with the full factorial approach, 243 runs were obtained from the combination of the identified factors using MINITAB (version 18) software. By implementing all the extracted runs, the amount of reflection from the central display on the side windows was subjected to statistical analysis of variance (ANOVA). Results: Significantly effective factors (including their interactions) on the response of the reflection of the virtual image on the critical ​​vision zone and the total reflection on the driver's right and left side windows were identified. In addition, the amount/direction of the factors' effect on the responses was analyzed using a linear regression model. Conclusion: During the interior design process of the vehicle and display packaging, the factors identified in this study can be used as a control tool to reduce or eliminate the concern of the amount of display reflection on the side windows to prevent driver's ergonomics problems during nighttime driving.

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Publication Details

Journal
Iranian Journal of Ergonomics
Published
2025-02-27
DOI
https://doi.org/10.32592/ije.12.4.263
Primary Topic
Human-Automation Interaction and Safety
Type
article
Field-Weighted Citation Impact
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article

Investigating the Effective Factors in the Positioning of the Vehicle’s Multimedia with the Approach of Mitigating the Reflection While Nighttime Driving

Iranian Journal of Ergonomics
Human-Automation Interaction and Safety
article

Investigating the Effective Factors in the Positioning of the Vehicle’s Multimedia with the Approach of Mitigating the Reflection While Nighttime Driving

article en

Abstract

Objectives: Nowadays, using digital displays in vehicles has become very common. Therefore, the reflection display screen issue as a virtual image on the vehicle's side windows at night is a controversial item in the ergonomics position of the designed display. Given the high importance of visual tasks, it is necessary to consider ergonomics considerations during vehicle design to achieve an optimal display position. Methods: In the current study, by identifying the factors affecting the placement of the central display inside the vehicle and assigning level values for them, using the design of experiment statistical method with the full factorial approach, 243 runs were obtained from the combination of the identified factors using MINITAB (version 18) software. By implementing all the extracted runs, the amount of reflection from the central display on the side windows was subjected to statistical analysis of variance (ANOVA). Results: Significantly effective factors (including their interactions) on the response of the reflection of the virtual image on the critical ​​vision zone and the total reflection on the driver's right and left side windows were identified. In addition, the amount/direction of the factors' effect on the responses was analyzed using a linear regression model. Conclusion: During the interior design process of the vehicle and display packaging, the factors identified in this study can be used as a control tool to reduce or eliminate the concern of the amount of display reflection on the side windows to prevent driver's ergonomics problems during nighttime driving.

Iranian Journal of Ergonomics
Iran Khodro (Iran) (IR)
Openalex Percentile: Top 78%
Human-Automation Interaction and Safety
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