Abstract To ensure safety and usability of automotive user interfaces, prospective validations during early prototyping stages are important, especially when developing innovative human-cockpit interactions (HCI). Real car driving studies are difficult to control, manipulate, replicate, and standardize. Additionally, compared to other study designs, they are also time consuming and expensive. One economizing approach is the implementation of immersive driving environments in simulator studies to provide users a more realistic awareness of the situation. Using simulator test environments puts the question of driving simulator validity forward, meaning the extent to which results generated in simulated environments can be transferred to real world environments. Thus, in this chapter the ‘Immersive model-based HCI validation method’, which was developed by the authors, will be introduced. First, the state of the art of driving simulators will be analyzed. For this, the authors defined the degree of fidelity based on the used elements. Next, findings of a series of driving simulator tests will be presented, which investigate the influence of immersive parameters in driving environments. Visual and auditory immersive parameters were used to analyze the validity of driving simulator environments, as well as different technologies (HMD, holobench, PC). Different levels of immersion (from low to high fidelity) were tested to examine this methodology. Thus, main intention was to demonstrate the generalizability and transferability of the ‘Immersive model-based HCI validation method’ for different use cases. Objective and subjective data show advantages regarding the situational awareness and perception for highly immersive driving environments while interacting with a navigation system.
Methods to Validate Automotive User Interfaces Within Immersive Driving Environments
2017-01-01
26 pages
Article/Chapter (Book)
Electronic Resource
English
Situation Awareness , Liquid Crystal Display , Stereo Vision , Driving Simulator , Simulator Sickness Computer Science , User Interfaces and Human Computer Interaction , Multimedia Information Systems , Automotive Engineering , Artificial Intelligence (incl. Robotics) , Signal, Image and Speech Processing
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