Related papers: In-Vehicle Interface Adaptation to Environment-Induced Cognitive Workload

In-Vehicle Interface Adaptation to Environment-Induced Cognitive Workload

URL: http://arxiv.org/abs/2210.11271v1
Date: Thu, 20 Oct 2022 13:42:25 GMT
Title: In-Vehicle Interface Adaptation to Environment-Induced Cognitive Workload
Authors: Elena Meiser, Alexandra Alles, Samuel Selter, Marco Molz, Amr Gomaa, Guillermo Reyes
Abstract summary: In-vehicle human-machine interfaces (HMIs) have evolved throughout the years, providing more and more functions. To tackle this problem, we propose using adaptive HMIs that change according to the mental workload of the driver.
Score: 55.41644538483948
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Abstract: 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.

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