Effects of real-world backgrounds on user interface color naming and matching in automotive AR HUDs

Merenda, Coleman; Smith, Missie; Gabbard, Joseph L.; Burnett, Gary; Large, David R.

doi:10.1109/percar.2016.7562419

Cited by 21 publications

(5 citation statements)

References 20 publications

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“…HUD reduces focal accommodation time (Merenda, Smith, Gabbard, Burnett, & Large, 2016), and also allows improving "eyes on the road" time by reducing the number of glances to the instrument cluster (Horrey, Wickens, & Consalus, 2006). Liu (2003) pointed that the HUD allows more time to scan the traffic scene, quicker reaction times to external road events, less mental stress for drivers, earlier detection of road obstacles, and easier learning phase to use.…”

Section: Heads Up Display (Huds)mentioning

confidence: 99%

Is the Driver Ready to Receive Just Car Information in the Windshield during Manual and Autonomous Driving?

Marques¹,

Noriega²,

Rebelo³

2022

Handbook of Usability and User Experience

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Automation is changing the world. As in aviation, the car manufacturers are currently developing autonomous vehicles. However, the autonomy of that vehicles isn't complete, still being needed in certain moments the driver on ride. The way how is done this transition between manual and autonomous driving and how show this information to the driver is a challenge for Ergonomics. New displays are being studied to facilitate these transitions. This study used a driving simulator to investigates, whether augmented reality information can positively influence the user experience during manual and autonomous driving. Therefore, we compared two ways of present the communicate to the driver. The "AR concept" displays all the information in windshield to be easier to the driver access to the information. The "IC concept" displays the information that appears nowadays in the cars, where they use the Instrument Cluster and the e-HUD to display information.Results indicate that the user experience (UX) is influence by concepts, where "AR concept" had better UX in all the states. In terms of confidence, the results revealed higher scores in "AR concept" too. The type of concept does not influence the takeover times or the behavior of take control. In terms of situational awareness (SA), "AR concept" leave the drivers more aware during availability and activation. This study provides implications for automotive companies developing the next generation of car displays.

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Section: Heads Up Display (Huds)mentioning

confidence: 99%

Is the Driver Ready to Receive Just Car Information in the Windshield during Manual and Autonomous Driving?

Marques¹,

Noriega²,

Rebelo³

2022

Handbook of Usability and User Experience

View full text Add to dashboard Cite

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“…They found that the text legibility is highly affected by the text drawing style, the see-though background, and their interaction. Merenda et al [23] considered in-car HUD interfaces and conducted a study that investigates the user's color identification performance in different color-blending circumstances caused by the mixture in the colors of background and augmented text/symbolic content. They found that participants generally chose brighter colors as compared to the original source color of the content, but certain colors, e.g., blue, green, and yellow, were more accurately identified.…”

Section: Ar Reduced-contrast Scenariosmentioning

confidence: 99%

Exploring the Limitations of Environment Lighting on Optical See-Through Head-Mounted Displays

Erickson

Kim

Bruder

et al. 2020

Symposium on Spatial User Interaction

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Due to the additive light model employed by most optical seethrough head-mounted displays (OST-HMDs), they provide the best augmented reality (AR) views in dark environments, where the added AR light does not have to compete against existing real-world lighting. AR imagery displayed on such devices loses a significant amount of contrast in well-lit environments such as outdoors in direct sunlight. To compensate for this, OST-HMDs often use a tinted visor to reduce the amount of environment light that reaches the user's eyes, which in turn results in a loss of contrast in the user's physical environment. While these effects are well known and grounded in existing literature, formal measurements of the illuminance and contrast of modern OST-HMDs are currently missing. In this paper, we provide illuminance measurements for both the Microsoft HoloLens 1 and its successor the HoloLens 2 under varying environment lighting conditions ranging from 0 to 20,000 lux. We evaluate how environment lighting impacts the user by calculating contrast ratios between rendered black (transparent) and white imagery displayed under these conditions, and evaluate how the intensity of environment lighting is impacted by donning and using the HMD. Our results indicate the further need for refinement in the design of future OST-HMDs to optimize contrast in environments with illuminance values greater than or equal to those found in indoor working environments. CCS CONCEPTS • Hardware → Displays and imagers; • Computing methodologies → Mixed / augmented reality; Perception.

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“…Pisanpeeti and Dinet 38 investigated the influence of shape and color features on the depth perception from a single still image and showed that color of transparent object could alter depth perception by giving an illusion of nearness when shape features were not prominent. The color naming and matching task in AR showed that blue, green, and yellow AR colors had very little hue shift 39 . However, the effect of users perceiving colors on the depth perception should still be explored.…”

Section: Related Workmentioning

confidence: 99%

“…The result of the color matching task in which participants verbally identified color shows that blue, green, and yellow were associated with higher accuracies 39 . Therefore, we chose three colors: blue (0, 0, 255), yellow (255, 255, 0), and green (0, 255, 0) in Experiment 1, as shown in Figure 3.…”

Section: Experiments 1: Color and Sizementioning

confidence: 99%

Effects of shading model and opacity on depth perception in optical see‐through augmented reality

et al. 2020

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Augmented reality (AR) technologies create an immersive environment by augmenting the real world with rendered virtual objects. One of the key requirements of an AR system is to understand how users perceive the depth of an AR object. Perceived distances to AR objects can be based on various depth cues such as rendering method used for the virtual object. The existing researches on the shading model and opacity mainly focus on the shape perception or the position relationship of several virtual objects in the virtual environment. We predicted that shading models and opacity would impact a user's estimation of a virtual object's depth in AR. We conducted two experiments to investigate the impact of color, size (Experiment 1), shading model, and opacity (Experiment 2) on the depth perception in an optical see‐through head‐mounted display (HMD). We found that the virtual object's color and size impact estimation efficacy. An interaction effect between color and size was also found. The results showed that shading models with specular highlights could help to improve depth perception in AR. Additionally, users had the lowest matching error when the opacity of a virtual object was 0.8.

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Effects of real-world backgrounds on user interface color naming and matching in automotive AR HUDs

Cited by 21 publications

References 20 publications

Is the Driver Ready to Receive Just Car Information in the Windshield during Manual and Autonomous Driving?

Is the Driver Ready to Receive Just Car Information in the Windshield during Manual and Autonomous Driving?

Exploring the Limitations of Environment Lighting on Optical See-Through Head-Mounted Displays

Effects of shading model and opacity on depth perception in optical see‐through augmented reality

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