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Updated: Jan 21, 2026

Task Interruption and Resumption Paradigm for Testing the Activation and Pursuit of an Abstract Thinking Goal
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Task Interruption and Control Recovery Strategies After Take-Over Requests Emphasize Need for Measures of Situation

Tobias Vogelpohl1, Franziska Gehlmann2, Mark Vollrath1

  • 1Technische Universität Braunschweig, Germany.

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Summary

Drivers performing non-driving-related tasks (NDRTs) may delay crucial actions like mirror checks after a take-over request (TOR). This highlights the need to analyze driver attention beyond automation deactivation times for enhanced driving safety.

Keywords:
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Area of Science:

  • Human-Computer Interaction
  • Automotive Safety
  • Cognitive Psychology

Background:

  • Nondriving-related tasks (NDRTs), such as office work, are common during automated driving.
  • Complex NDRTs can significantly impact a driver's ability to regain manual control and visual attention following a take-over request (TOR).

Purpose of the Study:

  • To investigate whether evaluating only automation deactivation time is sufficient for understanding the transition to manual driving after TORs.
  • To examine the influence of office-based NDRTs on driver behavior during TORs.

Main Methods:

  • A driving simulator study with 51 participants performing office tasks or no task.
  • Recorded reaction times in high- and low-urgency scenarios.
  • Analyzed task interruption strategies and attentional dynamics.

Main Results:

  • Most participants (90%) deactivated automation within 7-8 seconds but delayed mirror checks until 11-14 seconds.
  • Drivers engaged in NDRTs exhibited varied task interruption strategies (sequential or parallel), seemingly based on individual preference rather than situation.
  • Task interruption strategies were not adapted to the take-over request urgency or task type.

Conclusions:

  • Drivers performing NDRTs may neglect lower-priority subtasks, like mirror checks, after a TOR.
  • Automation deactivation time alone is insufficient to assess driver readiness for manual control; attentional dynamics are critical.
  • Analyzing attentional dynamics during take-over situations is crucial for improving the safety of handover assistance systems.