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Using Rapid Serial Visual Presentation to Measure Set-Specific Capture, a Consequence of Distraction While Multitasking
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Published on: August 29, 2018

Timing in multitasking: memory contamination and time pressure bias.

Jungaa Moon1, John R Anderson

  • 1Department of Psychology, Carnegie Mellon University, Pittsburgh, PA 15213, USA. jungaam@andrew.cmu.edu

Cognitive Psychology
|July 30, 2013
PubMed
Summary
This summary is machine-generated.

Complex multitasking causes time estimation biases. Participants underestimate intervals due to memory contamination and time pressure, but not when tested in isolation. Contextual factors significantly influence perceived time.

Keywords:
Cognitive modelMemoryMultitaskingTime estimationTime pressure

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Area of Science:

  • Cognitive Psychology
  • Human-Computer Interaction
  • Behavioral Neuroscience

Background:

  • Time estimation is often inaccurate in complex, real-time multitasking environments.
  • Systematic biases, particularly underestimation, occur when performing demanding tasks.

Purpose of the Study:

  • To investigate the mechanisms causing premature responses and underestimation of target intervals (250-400 ms) in a complex task.
  • To identify the roles of memory contamination and time pressure in these biases.

Main Methods:

  • An experiment manipulated memory contamination (alternating intervals) and time pressure.
  • Time estimation accuracy was measured under different conditions.
  • A computational model (ACT-R with Taatgen and van Rijn's timing model) was used to simulate results.

Main Results:

  • A significant 'too-early' bias was observed when the target interval alternated with a shorter one and time pressure was high.
  • This bias disappeared when the target interval was estimated in isolation, without contamination or time pressure.
  • A 'too-late' bias emerged when the target interval alternated with a longer one without time pressure.

Conclusions:

  • Memory contamination and time pressure are key factors driving premature responses in time estimation during multitasking.
  • Contextual influences from surrounding time intervals and task demands are crucial for accurate time perception.
  • Computational modeling is essential for understanding the multifaceted nature of time estimation in dynamic tasks.