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Published on: October 13, 2016
Using mobile eye tracking to measure cognitive load through gaze behavior during walking in lower limb prosthesis
Sabina Manz1, Thomas Schmalz2, Michael Ernst2
1Department of Health Science and Technology, Aalborg University, Aalborg, Denmark; Ottobock SE & Co. KGaA, Global Research, Duderstadt, Germany.
Mobile eye tracking offers an objective method to measure cognitive load in individuals using prosthetic limbs during walking tasks. This technology provides a practical alternative to subjective questionnaires for assessing cognitive demands.
Area of Science:
- Biomedical Engineering
- Rehabilitation Science
- Human-Computer Interaction
Background:
- Lower limb amputation impacts physical, psychological, and cognitive functioning.
- Prosthetic device use increases cognitive demands, posing challenges for objective measurement.
- Current subjective questionnaires for cognitive load assessment have limitations.
Purpose of the Study:
- To investigate the efficacy of mobile eye tracking in objectively measuring cognitive load.
- To monitor gaze behavior during motor tasks in prosthetic users and able-bodied controls.
Main Methods:
- Five prosthetic users and eight able-bodied controls participated.
- Eye tracking and kinematics were recorded during various locomotor tasks.
- Target fixation times and pupil diameter changes were analyzed and correlated with subjective cognitive load ratings.
Main Results:
- Target fixation time and pupil diameter showed significant correlations with subjective cognitive load in able-bodied controls.
- Correlation strength varied individually, with similar trends observed in prosthetic users.
- Mobile eye tracking demonstrated potential for objective cognitive load assessment.
Conclusions:
- Mobile eye tracking can estimate cognitive load in prosthesis users during locomotor tasks.
- This approach offers an objective, practical, and simple method for cognitive load assessment.
- Future research should validate findings with other objective measures and in real-world settings.
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