Making automated driving support - Method for Driver-Vehicle task allocation

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Abstract

For partly automated driving, allocation of (sub)tasks between driver and vehicle is often considered from a technological or legal point-of-view. However, partial automation often leads to reduced operability after transitions to manually driving. Therefore, this paper presents a concise method for a more distinct task-allocation whilst accounting for various aspects influencing out-of-the-loop performance problems, among which: system complexity, avoidance of errors, ability to correct and comfort. To investigate how the method should account for these aspects, the impact of different levels of automation on task performance in general and recovery tasks in particular was considered. Next, we considered how required attention and effort influences avoidance of errors and satisfaction. After presenting the method, exemplary assessment of task allocation for an automated-parking system, showed how the provided method helps to develop new systems for partly automated driving.
Original languageEnglish
Title of host publicationProceedings Mensch & Computer 2012
EditorsH. Reiterer, O. Deussen
Place of PublicationKonstanz
PublisherOldenbourg Verlag Munchen
Pages355-362
ISBN (Print)9783486719901
Publication statusPublished - 9 Sep 2012

Publication series

Name
PublisherOldenbourg Verlag Munchen

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Automation
Parking
Recovery

Keywords

  • IR-84933
  • METIS-292193

Cite this

van den Beukel, A. P., & van der Voort, M. C. (2012). Making automated driving support - Method for Driver-Vehicle task allocation. In H. Reiterer, & O. Deussen (Eds.), Proceedings Mensch & Computer 2012 (pp. 355-362). Konstanz: Oldenbourg Verlag Munchen.
van den Beukel, Arie Paul ; van der Voort, Mascha C. / Making automated driving support - Method for Driver-Vehicle task allocation. Proceedings Mensch & Computer 2012. editor / H. Reiterer ; O. Deussen. Konstanz : Oldenbourg Verlag Munchen, 2012. pp. 355-362
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van den Beukel, AP & van der Voort, MC 2012, Making automated driving support - Method for Driver-Vehicle task allocation. in H Reiterer & O Deussen (eds), Proceedings Mensch & Computer 2012. Oldenbourg Verlag Munchen, Konstanz, pp. 355-362.

Making automated driving support - Method for Driver-Vehicle task allocation. / van den Beukel, Arie Paul; van der Voort, Mascha C.

Proceedings Mensch & Computer 2012. ed. / H. Reiterer; O. Deussen. Konstanz : Oldenbourg Verlag Munchen, 2012. p. 355-362.

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

TY - GEN

T1 - Making automated driving support - Method for Driver-Vehicle task allocation

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AU - van der Voort, Mascha C.

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N2 - For partly automated driving, allocation of (sub)tasks between driver and vehicle is often considered from a technological or legal point-of-view. However, partial automation often leads to reduced operability after transitions to manually driving. Therefore, this paper presents a concise method for a more distinct task-allocation whilst accounting for various aspects influencing out-of-the-loop performance problems, among which: system complexity, avoidance of errors, ability to correct and comfort. To investigate how the method should account for these aspects, the impact of different levels of automation on task performance in general and recovery tasks in particular was considered. Next, we considered how required attention and effort influences avoidance of errors and satisfaction. After presenting the method, exemplary assessment of task allocation for an automated-parking system, showed how the provided method helps to develop new systems for partly automated driving.

AB - For partly automated driving, allocation of (sub)tasks between driver and vehicle is often considered from a technological or legal point-of-view. However, partial automation often leads to reduced operability after transitions to manually driving. Therefore, this paper presents a concise method for a more distinct task-allocation whilst accounting for various aspects influencing out-of-the-loop performance problems, among which: system complexity, avoidance of errors, ability to correct and comfort. To investigate how the method should account for these aspects, the impact of different levels of automation on task performance in general and recovery tasks in particular was considered. Next, we considered how required attention and effort influences avoidance of errors and satisfaction. After presenting the method, exemplary assessment of task allocation for an automated-parking system, showed how the provided method helps to develop new systems for partly automated driving.

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van den Beukel AP, van der Voort MC. Making automated driving support - Method for Driver-Vehicle task allocation. In Reiterer H, Deussen O, editors, Proceedings Mensch & Computer 2012. Konstanz: Oldenbourg Verlag Munchen. 2012. p. 355-362