All Outputs (6)

A Perceptual Color-Matching Method for Examining Color Blending in Augmented Reality Head-Up Display Graphics (2020)
Journal Article

Augmented reality (AR) offers new ways to visualize information on-the-go. As noted in related work, AR graphics presented via optical see-through AR displays are particularly prone to color blending, whereby intended graphic colors may be perceptual... Read More about A Perceptual Color-Matching Method for Examining Color Blending in Augmented Reality Head-Up Display Graphics.

Expert assessment of future vulnerability of the global peatland carbon sink (2020)
Journal Article

© 2020, The Author(s), under exclusive licence to Springer Nature Limited. The carbon balance of peatlands is predicted to shift from a sink to a source this century. However, peatland ecosystems are still omitted from the main Earth system models th... Read More about Expert assessment of future vulnerability of the global peatland carbon sink.

Driver Training for Future Automated Vehicles: Introducing CHAT (CHeck, Assess, Takeover) (2020)
Report

Automated vehicles are expected to offer many benefits, including improvements in road safety, increased mobility, enhanced driver comfort, and reductions in road congestion. However, fully automated, autonomous vehicles that require no input from a... Read More about Driver Training for Future Automated Vehicles: Introducing CHAT (CHeck, Assess, Takeover).

Ultrahapticons: “Haptifying” Drivers’ Mental Models to Transform Automotive Mid-Air Haptic Gesture Infotainment Interfaces (2020)
Conference Proceeding

In-vehicle gesture interfaces show potential to reduce visual demand and improve task performance when supported with mid-air, ultrasound-haptic feedback. However, comparative studies have tended to select gestures and haptic sensations based either... Read More about Ultrahapticons: “Haptifying” Drivers’ Mental Models to Transform Automotive Mid-Air Haptic Gesture Infotainment Interfaces.

Towards Future Driver Training: Analysing Human Behaviour in Level 3 Automated Cars (2020)
Conference Proceeding

Automation capability of future Level 3 vehicles will extend to tactical as well as control levels of the driving task. However, if systems fail or boundary limitations are exceeded the human driver must be ready to take over control of the vehicle.... Read More about Towards Future Driver Training: Analysing Human Behaviour in Level 3 Automated Cars.

Enhancing Drivers’ Awareness of Passing Pedestrians with Exocentric Digital Mirrors (2020)
Conference Proceeding

Digital mirrors are expected to feature in next generation cars. Ongoing technological developments in on-board cameras, sensors and sensor-fusing algorithms means that future drivers could be provided with novel visualisations that are not limited t... Read More about Enhancing Drivers’ Awareness of Passing Pedestrians with Exocentric Digital Mirrors.