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Effects of cues in a binary categorization task on dual-task performance, mental workload, and effort.

Assaf Botzer1, Joachim Meyer1, Yisrael Parmet1

  • 1Department of Industrial Engineering and Management, Ben-Gurion University of the Negev.

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Binary cues improve operator performance and reduce mental workload (MWL) in complex tasks. However, these automation aids do not decrease user effort, highlighting the need to measure both separately.

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Area of Science:

  • Human-Computer Interaction
  • Cognitive Psychology
  • Systems Engineering

Background:

  • Binary cues aid operators in binary categorization tasks, such as system failure monitoring.
  • Automation, including binary cues, can potentially reallocate user time to concurrent tasks.
  • The impact of automation on user effort versus mental workload requires careful examination.

Purpose of the Study:

  • To investigate the effects of binary cues on operator performance and mental workload in a simulated quality control task.
  • To determine if time saved by using cues is reallocated to concurrent tasks, affecting overall effort.
  • To assess the relationship between cue usage, task performance, frustration, and mental workload.

Main Methods:

  • Two experiments were conducted using a simulated quality control task combined with a tracking task.
  • Participants used binary cues in half of the experimental blocks to make decisions about product quality (intact or faulty).
  • Tracking task difficulty was constant in Experiment 1 and varied in Experiment 2; mental workload was measured using the NASA Task Load Index.

Main Results:

  • Participants reported improved performance and reduced frustration when using binary cues.
  • Overall mental workload (MWL) scores were lower with cue usage.
  • Despite performance benefits and reduced MWL, participants did not report a reduction in their effort.

Conclusions:

  • Binary cues and automation can enhance task performance and decrease overall mental workload.
  • Reduced mental workload does not necessarily equate to reduced user effort.
  • Separate evaluation of user effort and mental workload is crucial for a comprehensive understanding of automation's impact.