Pupillometry and Eye Tracking for Cognitive workload measurement - - PowerPoint PPT Presentation

pupillometry and eye tracking for cognitive workload
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Pupillometry and Eye Tracking for Cognitive workload measurement - - PowerPoint PPT Presentation

Pupillometry and Eye Tracking for Cognitive workload measurement Giovanni Pignoni (NTNU) Odd Sveinung Hareide (FHS) Frode Volden (NTNU) Sashidharan Komandur (NTNU) Norwegian University of Science and Technology Faculty of Architecture and


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Pupillometry and Eye Tracking for Cognitive workload measurement

Giovanni Pignoni (NTNU) Odd Sveinung Hareide (FHS) Frode Volden (NTNU) Sashidharan Komandur (NTNU)

Norwegian University of Science and Technology Faculty of Architecture and Design Department of Design The Norwegian Defence University College - Forsvaret

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Cognitive Workload

  • Measurable level of mental effort put forth by an individual in

response to a task.

  • Result of the interaction between a subject and a task.
  • Human-centred rather than task-centred.
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Scope

Development of a field method for the measure of cognitive workload in usability testing.

  • Accidents and Procedures analysis in simulators.
  • Optimise the design to fit the human component.
  • Development of reactive safety countermeasures

built inside the system.

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A tool in the interaction design and evaluation of safety-critical systems:

  • Collect data about physical and cognitive state.
  • Identify mental over-load and under-load.

Why C.W.?

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  • Subjective Ratings > Subjective measures
  • f perceived effort as rated by the subject.
  • Performance observation >Performance
  • f the subject in a controlled task.

Workload ≠ performance.

  • Physiological Measures > Physiological

indices of cognitive state, nonintrusive data

  • ver time.

How is C.W. measured?

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A by-product of Eye Tracking

Eye Tracking enables a variety of measurements with a single device:

  • Visual attention.
  • Parameters of eye movement (saccades and fixations).
  • Pupil size.

It is Portable, Unobtrusive and Affordable.

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Pupil Size

Radial muscles Contracting Sympathetic system Circular muscles Contracting Parasympathetic system Fast Light Reflex Slow Light Adaptation

Bright Light Dim Light Brain Activity

Fast Dilation Reflex

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Pupil Size

Radial muscles Contracting Sympathetic system Circular muscles Contracting Parasympathetic system Fast Light Reflex Slow Light Adaptation

Bright Light Dim Light Brain Activity

Fast Dilation Reflex

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Pupil Size

As more electrical impulses are received by the brainstem more reflex impulses are sent to the pupils greater the pupil dilatation becomes. In stable lighting conditions, changes in pupil diameter reflects changes in cognitive workload.

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Implementing the unified formula for light-adapted pupil size by Andrew B. Watson and John I. Yellott.

Unified Formula

Luminance (cd/m2) Size (degrees) Participant Age Expected Pupil Size Visual Stimuli

Estimate the pupil size

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Implementing the unified formula for light-adapted pupil size by Andrew B. Watson and John I. Yellott.

Unified Formula

Participant Age Expected Pupil Size Luminance (cd/m2) Size (degrees) Visual Stimuli How to Estimate?

Estimate the pupil size

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Eye Camera Wold Camera Luminosity Sensor

Affordable Eye Tracker (Pupil Labs)

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Estimate the visual stimuli

Calculate the average relative luminance. Isolate the area surrounding the gaze. Relative luminance around the gaze. Video + Gaze data

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Estimate the visual stimuli

Relative luminance from the video. Average Relative Luminance Gaze Relative Luminance Absolute luminance from the sensor. 334cd/m2 Combined luminance Gaze Luminance Average Luminance 540cd/m2

Dependant on exposure

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Using the unified formula for light-adapted pupil size by Andrew B. Watson and John I. Yellott.

Unified Formula

Participant Age Expected Pupil Size Luminance (cd/m2) Size (degrees) Visual Stimuli Wold Camera + Luminance Sensor

Estimate the visual stimuli

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As the difference between the expected pupil size and the measured pupil size.

Cognitive workload

Measured Pupil = Expected Pupil + Effect of CW + Noise

Light Cognitive Workload

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Laboratory test

  • Controlled visual stimuli.
  • Sequence of cognitive tasks.
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Laboratory test

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Laboratory test

Variable luminance

Rest Rest Rest Rest Rest Rest Rest Rest Rest Rest Count up 0 to 60 Count down 60 to 0 Count down every 4 Fibonacci sequence

Pupil diameter (mm)

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Laboratory test

Fixed luminance

Rest Rest Rest Rest Rest Rest Rest Rest Rest Rest Count up 0 to 60 Count down 60 to 0 Count down every 4 Fibonacci sequence

Pupil diameter (mm) Time (s)

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Laboratory test

Task Fibonacci Count -4 Count Down Count Up Rest Estimated Marginal Means of Worklaod (Pupil dilatation mm)

.8mm .6mm .4mm .2mm .0mm

  • .2mm

Estimated Marginal Means of Workload (mm)

Error bars: 95% CI Variable Fixed

Light Condition

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Field Test

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Field Test

Bergen Start/End Half Stop Vessel (Kvarven)

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Subjective

NASA TLX Self Report Maps Expert Evaluation

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Objective

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  • Hight correlation between subjectively

reported workload and measured workload.

  • Eye tracking is usable in field

conditions but still an involving process.

  • Will be repeated in Controlled

conditions.

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A second test session at the Norwegian Naval Academy is planned for late February.

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Open Source

Github Rep. and Documentation Sensor Kit 3D files and B.O.M. https://github.com/pignoniG/cognitive_analysis_tool

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Thanks