Visible to the public Demonstrating brain-level interactions between working memory load and frustration while driving using functional near-infrared spectroscopyConflict Detection Enabled

TitleDemonstrating brain-level interactions between working memory load and frustration while driving using functional near-infrared spectroscopy
Publication TypeConference Proceedings
Year of Publication2018
AuthorsAnirudh Unni, Benedikt Kretzmeyer, Klas Ihme, Frank Köster, Meike Jipp, Jochem W. Rieger
Conference Name2nd International Neuroergonomics Conference
PublisherFrontiers Human Neuroscience
Conference LocationPhiladelphia, PA
Keywordsautomotive, brain-level interactions, driving, frustration, functional near-infrared spectroscopy, Transportation, working memory load
Abstract

Mental workload is a popular concept in ergonomics as it provides an intuitive explanation why exceedingly cognitive task demands result in a decrease in task performance and increase the risk of fatal incidents while driving. At the same time, affective states such as frustration, also play a role in traffic safety as they increase the tendency for speedy and aggressive driving and may even degrade cognitive processing capacities. To reduce accidents due to dangerous effects of degraded cognitive processing capacities and affective biases causing human errors, it is necessary to continuously assess multiple user states simultaneously to better understand potential interactions. In two previous studies, we measured brain activity with functional near-infrared spectroscopy (fNIRS) for separate brain based prediction of working memory load (WML) (Unni et al., 2017) and frustration levels (Ihme et al. submitted) while driving. Here, we report results from a study designed to predict simultaneously manipulated WML and frustration using data driven machine learning approaches from whole-head fNIRS brain activation measurements.

URLhttp://www.frontiersin.org/human_neuroscience_archive/10.3389/conf.fnhum.2018.227.00091/full
DOI10.3389/conf.fnhum.2018.227.00091
Citation Key10.3389/conf.fnhum.2018.227.00091