Measuring the cognitive demands of in-vehicle dashboard and centre console tasks

Madeleine Conaghan, Ian Colwill, Edward Elton, Periklis Charchalakis, Elias Stipidis

Research output: Chapter in Book/Conference proceeding with ISSN or ISBNConference contribution with ISSN or ISBN

Abstract

The cognitively demanding dashboard and centre console tasks that drivers face while operating a vehicle were assessed through a lab based study. Thirty-four participants drove a simulated course for approximately 20 minutes whilst completing a series of secondary tasks. During the simulation, continuous assessment of driving performance, reaction time and indicators of cognitive burden were collected. Following the driving exercise, participants were asked to complete a survey for self-assessment of secondary task difficulty. The survey results reveal that drivers find using the satellite navigation system as the most challenging and most distracting task.

Original languageEnglish
Title of host publicationAdvances in Human Aspects of Transportation - Proceedings of the AHFE 2017 International Conference on Human Factors in Transportation, 2017
PublisherSpringer-Verlag
Pages503-510
Number of pages8
ISBN (Print)9783319604404
DOIs
Publication statusPublished - 24 Jun 2017
EventAHFE 2017 International Conference on Human Factors in Transportation, 2017 - Los Angeles, United States
Duration: 17 Jul 201721 Jul 2017

Publication series

NameAdvances in Intelligent Systems and Computing
Volume597
ISSN (Print)2194-5357

Conference

ConferenceAHFE 2017 International Conference on Human Factors in Transportation, 2017
CountryUnited States
CityLos Angeles
Period17/07/1721/07/17

Fingerprint

Navigation systems
Satellites

Keywords

  • Cognitive demands
  • In-vehicle tasks
  • Vehicle ergonomics

Cite this

Conaghan, M., Colwill, I., Elton, E., Charchalakis, P., & Stipidis, E. (2017). Measuring the cognitive demands of in-vehicle dashboard and centre console tasks. In Advances in Human Aspects of Transportation - Proceedings of the AHFE 2017 International Conference on Human Factors in Transportation, 2017 (pp. 503-510). (Advances in Intelligent Systems and Computing; Vol. 597). Springer-Verlag. https://doi.org/10.1007/978-3-319-60441-1_50
Conaghan, Madeleine ; Colwill, Ian ; Elton, Edward ; Charchalakis, Periklis ; Stipidis, Elias. / Measuring the cognitive demands of in-vehicle dashboard and centre console tasks. Advances in Human Aspects of Transportation - Proceedings of the AHFE 2017 International Conference on Human Factors in Transportation, 2017. Springer-Verlag, 2017. pp. 503-510 (Advances in Intelligent Systems and Computing).
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Conaghan, M, Colwill, I, Elton, E, Charchalakis, P & Stipidis, E 2017, Measuring the cognitive demands of in-vehicle dashboard and centre console tasks. in Advances in Human Aspects of Transportation - Proceedings of the AHFE 2017 International Conference on Human Factors in Transportation, 2017. Advances in Intelligent Systems and Computing, vol. 597, Springer-Verlag, pp. 503-510, AHFE 2017 International Conference on Human Factors in Transportation, 2017, Los Angeles, United States, 17/07/17. https://doi.org/10.1007/978-3-319-60441-1_50

Measuring the cognitive demands of in-vehicle dashboard and centre console tasks. / Conaghan, Madeleine; Colwill, Ian; Elton, Edward; Charchalakis, Periklis; Stipidis, Elias.

Advances in Human Aspects of Transportation - Proceedings of the AHFE 2017 International Conference on Human Factors in Transportation, 2017. Springer-Verlag, 2017. p. 503-510 (Advances in Intelligent Systems and Computing; Vol. 597).

Research output: Chapter in Book/Conference proceeding with ISSN or ISBNConference contribution with ISSN or ISBN

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Conaghan M, Colwill I, Elton E, Charchalakis P, Stipidis E. Measuring the cognitive demands of in-vehicle dashboard and centre console tasks. In Advances in Human Aspects of Transportation - Proceedings of the AHFE 2017 International Conference on Human Factors in Transportation, 2017. Springer-Verlag. 2017. p. 503-510. (Advances in Intelligent Systems and Computing). https://doi.org/10.1007/978-3-319-60441-1_50