The document discusses visual neuro-ergonomics and its applications. It defines visual neuro-ergonomics as understanding human visual processes and interactions between humans and systems. The document outlines topics in visual ergonomics and neuro-ergonomics, including visual environments, tasks, functions, and imaging techniques like EEG. It provides examples of applying visual neuro-ergonomics to areas like driving, displays, and simulations. The conclusion discusses using neuroimaging like EEG to provide neurofeedback and explore brain-machine interfaces to improve cognitive performance and well-being.

1. Visual Neuro-Ergonomics in
Naturalistic Simulation
Fco M. Martínez-Verdú
Color & Vision Group: http://web.ua.es/en/gvc
University of Alicante (Spain)
verdu@ua.es
November 22nd, 2017, Paris, France

2.  Visual ergonomics
 Human performance
 Neuro-ergonomics: brain – machine – interaction
 Neuro-imaging: brain activity on real time
 Visual neuro-ergonomics applications
 Testing naturalistic rendered simulations
 Conclusions
OUTLINE
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3.  IEA definition:
 Visual ergonomics is the multidisciplinary science concerned
with understanding human visual processes and the interactions
between humans and other elements of a system.
 It applies theories, knowledge and methods to the design and
assessment of systems, optimizing human well-being and overall
system performance.
VISUAL ERGONOMICS
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4. VISUAL ERGONOMICS
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5.  Relevant topics, among others, suggested by EIA:
 visual environment, such as lighting;
 visually demanding work and other tasks;
 visual function and performance;
 visual comfort and safety;
 optical corrections and other assistive tools.
VISUAL ERGONOMICS
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6.  Human brain, and using its senses, and connected to other
brain functions, in daily or naturalistic or innovative
(challenging) conditions
 Physical (body) vs. cognitive (brain) activities
 Parameters
 Fatigue
 Attention
 Adaptation
 Training (learning)
 Performance
NEURO-ERGONOMICS
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7.  Brain Machine Interaction (BMI, MoBI, etc.)
 Assessment of cognitive & visual performance
 Visual and cognitive demands lower than human limits
 Ageing factor
 Neurofeedback: interaction (communication) and
improvement of cognitive (& motor) functions
NEURO-ERGONOMICS
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8. NEURO-ERGONOMICS
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9.  How we can currently study the brain activity on real time?
NEURO-IMAGING
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10.  Pros vs. cons current neuro-imaging techniques:
 Good (light, etc.)?
 pretty?
 and also cheap?
NEURO-IMAGING
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IDEAL
TECHNIQUE

11. • EEG is the best
NEURO-IMAGING
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12.  How does EEG technique works?
NEURO-IMAGING
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Typical patterns by Fourier Analysis
w > 100 Hz

13.  Human brain, and using its visual perception, and
connected to other brain functions, in daily or naturalistic or
innovative (challenging) conditions
 Basic visual functions:
Detection  Recognition (scaling)  Discrimination
 Attention  Decision  Action
VISUAL NEURO-ERGONOMICS
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14.  Vision & driving (autonomous car, etc.)
 Vision & displays (smartphones, etc.)
 digitally rendered simulations
 Vision & sports (gaming, etc.)
 Vision & education (learning, AI, etc.)
 Vision & ageing
 Human vision limits
 Optics vs. Neurophysiology
VISUAL NEURO-ERGONOMICS
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15. • Applications
VISUAL NEURO-ERGONOMICS
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16. VISUAL NEURO-ERGONOMICS
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17. • Training of cognitive distraction in driving
VISUAL NEURO-ERGONOMICS
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18. • Training of visual-cognitive skills in sports
VISUAL NEURO-ERGONOMICS
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19. • Proposal of new research topics:
• How the visibility factors in static / dynamic scenarios can
influence on visual discomfort or stress in well-rendered
naturalistic simulations?
• Color discrimination  Scientific Visualization
• Shape & Spatial resolution, Stereo, Motion, etc.
• Design of cognitive activities? Training, etc.
VISUAL NEURO-ERGONOMICS
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Questionnaires vs. neuro-sensing (EEG, etc.)

20. • VR optimization?
• What is the next
disruptive innovation?
• Are there limitations?
VISUAL NEURO-ERGONOMICS
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21. • A promising future for ALL?
VISUAL NEURO-ERGONOMICS
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22.  Visual neuro-ergonomics approaches and corresponding
neuroimaging devices (EEG, mainly) can provide direct knowledge
on brain activity on real time and apply neurofeedback to train or
reinforce cognitive performance (attention, decision taking, etc.).
 Brain-machine-interface (BMI) applications can explore now and
propose new disruptive innovations for improving well-being of next
generations in many daily situations (work, leisure, health recovery).
CONCLUSIONS
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23. ACKNOWLEDGEMENTS
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24. Visual Neuro-Ergonomics in
Naturalistic Simulation
Fco M. Martínez-Verdú
Color & Vision Group: http://web.ua.es/en/gvc
University of Alicante (Spain)
verdu@ua.es
November 22nd, 2017, Paris, France