In-Vehicle Interface Adaptation to Environment-Induced Cognitive Workload
This addresses safety issues for drivers by potentially reducing accidents caused by cognitive distractions, but it appears incremental as it builds on existing adaptive interface concepts.
The paper tackles the problem of driver distraction from in-vehicle interfaces by proposing adaptive HMIs that adjust based on the driver's mental workload, and presents preliminary results from a user study with naturalistic secondary tasks while driving.
Many car accidents are caused by human distractions, including cognitive distractions. In-vehicle human-machine interfaces (HMIs) have evolved throughout the years, providing more and more functions. Interaction with the HMIs can, however, also lead to further distractions and, as a consequence, accidents. To tackle this problem, we propose using adaptive HMIs that change according to the mental workload of the driver. In this work, we present the current status as well as preliminary results of a user study using naturalistic secondary tasks while driving (i.e., the primary task) that attempt to understand the effects of one such interface.