A new approach of a context-adaptive search agent for automotive environments
CHI '06 Extended Abstracts on Human Factors in Computing Systems
A multifunctional VR-simulator platform for the evaluation of automotive user interfaces
HCI'07 Proceedings of the 12th international conference on Human-computer interaction: applications and services
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Evaluating errors that result from user interactions with in-car applications, it has to be considered that the user is permanently involved with driving the car. Reproducing this driving workload in non-field usability tests, it showed that the driving simulation demanded each test subject in a different way because of individual precognitions and properties. To ensure an identical driving workload for each test subject, it becomes necessary to individually adapt the degree of difficulty (DOD) of the driving task. We present a new technique in which, concerning the driving performance, each test participant is pre-classified in a baseline investigation before the main trial. In this context, a special measurement for objectively validating the driving performance of the subjects is being introduced.