Literature DB >> 21973004

The impact of cognitive workload on physiological arousal in young adult drivers: a field study and simulation validation.

Bryan Reimer1, Bruce Mehler.   

Abstract

Physiological measures provide a continuous and relatively non-invasive method of characterising workload. The extent to which such measures provide sensitivity beyond that provided by driving performance metrics is more open to question. Heart rate and skin conductance were monitored during actual highway driving in response to systematically increased levels of cognitive demand using an auditory delayed digit recall task. The protocol was consistent with an earlier simulator study, providing an opportunity to assess the validity of physiological measures recorded during driving simulation. The pattern of change in heart rate with increased cognitive demand was highly consistent between field and simulator. The findings meet statistical criteria for both relative and absolute validity, although there was a trend for absolute levels to be higher under actual driving conditions. For skin conductance level, the pattern in both environments was also quite similar and a reasonable case for overall relative validity can be made. STATEMENT OF RELEVANCE: Growing complexity and multiple demands on modern drivers' attention highlight the significance of determining whether physiological measures provide increased sensitivity in workload detection. Better understanding, including whether simulator assessments provide valid measures of real-world response patterns, has implications in evaluating and refining interface designs and for developing advanced workload managers.

Mesh:

Year:  2011        PMID: 21973004     DOI: 10.1080/00140139.2011.604431

Source DB:  PubMed          Journal:  Ergonomics        ISSN: 0014-0139            Impact factor:   2.778


  11 in total

1.  Brief report: examining driving behavior in young adults with high functioning autism spectrum disorders: a pilot study using a driving simulation paradigm.

Authors:  Bryan Reimer; Ronna Fried; Bruce Mehler; Gagan Joshi; Anela Bolfek; Kathryn M Godfrey; Nan Zhao; Rachel Goldin; Joseph Biederman
Journal:  J Autism Dev Disord       Date:  2013-09

2.  Combining and comparing EEG, peripheral physiology and eye-related measures for the assessment of mental workload.

Authors:  Maarten A Hogervorst; Anne-Marie Brouwer; Jan B F van Erp
Journal:  Front Neurosci       Date:  2014-10-14       Impact factor: 4.677

3.  An EEG Tool for Monitoring Patient Engagement during Stroke Rehabilitation: A Feasibility Study.

Authors:  Gadi Bartur; Katherin Joubran; Sara Peleg-Shani; Jean-Jacques Vatine; Goded Shahaf
Journal:  Biomed Res Int       Date:  2017-09-24       Impact factor: 3.411

4.  Pilots' mental workload prediction based on timeline analysis.

Authors:  Chengping Liu; Xiaoru Wanyan; Xu Xiao; Jingquan Zhao; Ya Duan
Journal:  Technol Health Care       Date:  2020       Impact factor: 1.285

5.  A Driver's Physiology Sensor-Based Driving Risk Prediction Method for Lane-Changing Process Using Hidden Markov Model.

Authors:  Yan Li; Fan Wang; Hui Ke; Li-Li Wang; Cheng-Cheng Xu
Journal:  Sensors (Basel)       Date:  2019-06-13       Impact factor: 3.576

6.  Multi-modal assessment of on-road demand of voice and manual phone calling and voice navigation entry across two embedded vehicle systems.

Authors:  Bruce Mehler; David Kidd; Bryan Reimer; Ian Reagan; Jonathan Dobres; Anne McCartt
Journal:  Ergonomics       Date:  2015-10-12       Impact factor: 2.778

7.  Assessment of operators' mental workload using physiological and subjective measures in cement, city traffic and power plant control centers.

Authors:  Majid Fallahi; Majid Motamedzade; Rashid Heidarimoghadam; Ali Reza Soltanian; Shinji Miyake
Journal:  Health Promot Perspect       Date:  2016-06-11

8.  Multi-modal demands of a smartphone used to place calls and enter addresses during highway driving relative to two embedded systems.

Authors:  Bryan Reimer; Bruce Mehler; Ian Reagan; David Kidd; Jonathan Dobres
Journal:  Ergonomics       Date:  2016-04-25       Impact factor: 2.778

9.  The Use of Physiological Signals in Brainstem/Midbrain fMRI.

Authors:  Andy Schumann; Stefanie Köhler; Feliberto de la Cruz; Daniel Güllmar; Jürgen R Reichenbach; Gerd Wagner; Karl-Jürgen Bär
Journal:  Front Neurosci       Date:  2018-10-16       Impact factor: 4.677

10.  Warmer Environments Increase Implicit Mental Workload Even If Learning Efficiency Is Enhanced.

Authors:  Tsukasa Kimura; Noriko Takemura; Yuta Nakashima; Hirokazu Kobori; Hajime Nagahara; Masayuki Numao; Kazumitsu Shinohara
Journal:  Front Psychol       Date:  2020-04-01
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.