Automated driving: The potential of non-driving-related tasks to manage driver drowsiness

Veronika Weinbeer; Tobias Muhr; Klaus Bengler

doi:10.1007/978-3-319-96074-6_19

Automated driving: The potential of non-driving-related tasks to manage driver drowsiness

Veronika Weinbeer, Tobias Muhr, Klaus Bengler

Lehrstuhl für Ergonomie

Publikation: Beitrag in Buch/Bericht/Konferenzband › Konferenzbeitrag › Begutachtung

10 Zitate (Scopus)

Abstract

This study investigated the reactivation potential of non-driving-related tasks during a simulated automated drive. In total, 71 participants took part in this experiment. After a relaxation phase, the sample was divided into three groups that were given different non-driving-related tasks (a dictation, a sport activity and a relaxation task). In this study, a rating greater than 7 on the Karolinska-Sleepiness Scale (KSS) was considered the system limit “Driver Drowsiness”. It was found that targeted use of non-driving-related tasks has potential as a suitable option for managing driver drowsiness. As no participant of the Dictation or Sport activity group exceeded level 7 on the KSS after the reactivation phase. Even after the effectiveness phase, there was still a major difference between the number of participants exceeding level 7 between the Dictation and Sport activity group compared to the Relaxation group. Results of this study should be considered for the design of human-vehicle interactions for Automated Driving Systems.

Originalsprache	Englisch
Titel	Proceedings of the 20th Congress of the International Ergonomics Association (IEA 2018) - Volume VI
Untertitel	Transport Ergonomics and Human Factors TEHF, Aerospace Human Factors and Ergonomics
Redakteure/-innen	Yushi Fujita, Sebastiano Bagnara, Riccardo Tartaglia, Sara Albolino, Thomas Alexander
Herausgeber (Verlag)	Springer Verlag
Seiten	179-188
Seitenumfang	10
ISBN (Print)	9783319960739
DOIs	https://doi.org/10.1007/978-3-319-96074-6_19
Publikationsstatus	Veröffentlicht - 2019
Veranstaltung	20th Congress of the International Ergonomics Association, IEA 2018 - Florence, Italien Dauer: 26 Aug. 2018 → 30 Aug. 2018

Publikationsreihe

Name	Advances in Intelligent Systems and Computing
Band	823
ISSN (Print)	2194-5357

Konferenz

Konferenz	20th Congress of the International Ergonomics Association, IEA 2018
Land/Gebiet	Italien
Ort	Florence
Zeitraum	26/08/18 → 30/08/18

Zugriff auf Dokument

10.1007/978-3-319-96074-6_19

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Verknüpfung zur Publikation in Scopus

Dieses zitieren

Weinbeer, V., Muhr, T., & Bengler, K. (2019). Automated driving: The potential of non-driving-related tasks to manage driver drowsiness. in Y. Fujita, S. Bagnara, R. Tartaglia, S. Albolino, & T. Alexander (Hrsg.), Proceedings of the 20th Congress of the International Ergonomics Association (IEA 2018) - Volume VI: Transport Ergonomics and Human Factors TEHF, Aerospace Human Factors and Ergonomics (S. 179-188). (Advances in Intelligent Systems and Computing; Band 823). Springer Verlag. https://doi.org/10.1007/978-3-319-96074-6_19

Weinbeer, Veronika ; Muhr, Tobias ; Bengler, Klaus. / Automated driving : The potential of non-driving-related tasks to manage driver drowsiness. Proceedings of the 20th Congress of the International Ergonomics Association (IEA 2018) - Volume VI: Transport Ergonomics and Human Factors TEHF, Aerospace Human Factors and Ergonomics. Hrsg. / Yushi Fujita ; Sebastiano Bagnara ; Riccardo Tartaglia ; Sara Albolino ; Thomas Alexander. Springer Verlag, 2019. S. 179-188 (Advances in Intelligent Systems and Computing).

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title = "Automated driving: The potential of non-driving-related tasks to manage driver drowsiness",

abstract = "This study investigated the reactivation potential of non-driving-related tasks during a simulated automated drive. In total, 71 participants took part in this experiment. After a relaxation phase, the sample was divided into three groups that were given different non-driving-related tasks (a dictation, a sport activity and a relaxation task). In this study, a rating greater than 7 on the Karolinska-Sleepiness Scale (KSS) was considered the system limit “Driver Drowsiness”. It was found that targeted use of non-driving-related tasks has potential as a suitable option for managing driver drowsiness. As no participant of the Dictation or Sport activity group exceeded level 7 on the KSS after the reactivation phase. Even after the effectiveness phase, there was still a major difference between the number of participants exceeding level 7 between the Dictation and Sport activity group compared to the Relaxation group. Results of this study should be considered for the design of human-vehicle interactions for Automated Driving Systems.",

keywords = "Automated Driving, Drowsiness, Drowsiness management, Effectiveness, Non-driving-related tasks, Reactivation potential, Sleepiness",

author = "Veronika Weinbeer and Tobias Muhr and Klaus Bengler",

note = "Publisher Copyright: {\textcopyright} Springer Nature Switzerland AG 2019.; 20th Congress of the International Ergonomics Association, IEA 2018 ; Conference date: 26-08-2018 Through 30-08-2018",

year = "2019",

doi = "10.1007/978-3-319-96074-6_19",

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Weinbeer, V, Muhr, T & Bengler, K 2019, Automated driving: The potential of non-driving-related tasks to manage driver drowsiness. in Y Fujita, S Bagnara, R Tartaglia, S Albolino & T Alexander (Hrsg.), Proceedings of the 20th Congress of the International Ergonomics Association (IEA 2018) - Volume VI: Transport Ergonomics and Human Factors TEHF, Aerospace Human Factors and Ergonomics. Advances in Intelligent Systems and Computing, Bd. 823, Springer Verlag, S. 179-188, 20th Congress of the International Ergonomics Association, IEA 2018, Florence, Italien, 26/08/18. https://doi.org/10.1007/978-3-319-96074-6_19

Automated driving: The potential of non-driving-related tasks to manage driver drowsiness. / Weinbeer, Veronika; Muhr, Tobias; Bengler, Klaus.
Proceedings of the 20th Congress of the International Ergonomics Association (IEA 2018) - Volume VI: Transport Ergonomics and Human Factors TEHF, Aerospace Human Factors and Ergonomics. Hrsg. / Yushi Fujita; Sebastiano Bagnara; Riccardo Tartaglia; Sara Albolino; Thomas Alexander. Springer Verlag, 2019. S. 179-188 (Advances in Intelligent Systems and Computing; Band 823).

Publikation: Beitrag in Buch/Bericht/Konferenzband › Konferenzbeitrag › Begutachtung

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T2 - 20th Congress of the International Ergonomics Association, IEA 2018

AU - Weinbeer, Veronika

AU - Muhr, Tobias

AU - Bengler, Klaus

N1 - Publisher Copyright: © Springer Nature Switzerland AG 2019.

PY - 2019

Y1 - 2019

N2 - This study investigated the reactivation potential of non-driving-related tasks during a simulated automated drive. In total, 71 participants took part in this experiment. After a relaxation phase, the sample was divided into three groups that were given different non-driving-related tasks (a dictation, a sport activity and a relaxation task). In this study, a rating greater than 7 on the Karolinska-Sleepiness Scale (KSS) was considered the system limit “Driver Drowsiness”. It was found that targeted use of non-driving-related tasks has potential as a suitable option for managing driver drowsiness. As no participant of the Dictation or Sport activity group exceeded level 7 on the KSS after the reactivation phase. Even after the effectiveness phase, there was still a major difference between the number of participants exceeding level 7 between the Dictation and Sport activity group compared to the Relaxation group. Results of this study should be considered for the design of human-vehicle interactions for Automated Driving Systems.

AB - This study investigated the reactivation potential of non-driving-related tasks during a simulated automated drive. In total, 71 participants took part in this experiment. After a relaxation phase, the sample was divided into three groups that were given different non-driving-related tasks (a dictation, a sport activity and a relaxation task). In this study, a rating greater than 7 on the Karolinska-Sleepiness Scale (KSS) was considered the system limit “Driver Drowsiness”. It was found that targeted use of non-driving-related tasks has potential as a suitable option for managing driver drowsiness. As no participant of the Dictation or Sport activity group exceeded level 7 on the KSS after the reactivation phase. Even after the effectiveness phase, there was still a major difference between the number of participants exceeding level 7 between the Dictation and Sport activity group compared to the Relaxation group. Results of this study should be considered for the design of human-vehicle interactions for Automated Driving Systems.

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Weinbeer V, Muhr T, Bengler K. Automated driving: The potential of non-driving-related tasks to manage driver drowsiness. in Fujita Y, Bagnara S, Tartaglia R, Albolino S, Alexander T, Hrsg., Proceedings of the 20th Congress of the International Ergonomics Association (IEA 2018) - Volume VI: Transport Ergonomics and Human Factors TEHF, Aerospace Human Factors and Ergonomics. Springer Verlag. 2019. S. 179-188. (Advances in Intelligent Systems and Computing). doi: 10.1007/978-3-319-96074-6_19

Automated driving: The potential of non-driving-related tasks to manage driver drowsiness

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