IEEM 600L: Computational Ergonomics: the Combined Science of Engineering Pyschology and Physiology (Spring 2004)

Lecture venue: Rm3584

Dr Richard H.Y. So (Office: Rm5541)
and Dr Felix Lor (Office: Rm5556)

Last updated on 27 April 2004 11:15.

[27 April 11:15]Headings for class discussion for Fast-ICA part I is posted

Course Syllabus
Syllabus: updated on 28 January 2004

Material for class discussion

Headings for Lecture 1 - Introduction to Computational Ergonomics: an Integrated Discipline of Engineering Pyschology and Physiology
Learning material for Lecture 1:
        Byrne,M. and Gray,W.D., Returning human factors to an engineering discipline: Expanding the science base through
    a new generation of quantitative methods - preface to the special section. Human Factors. 45 (1) 1-4, 2003.
        Churchland,P.S. Mind-brain reduction: new light from the philosophy of science.
    Neuroscience, Vol.7., No.5., pp. 1041-1047, 1982.
        Hancock,P.A. and Szalma,J.L., The future of neuroergonomics. Theoretical Issues in
    Ergonomics Science. 4, 238 ?249, 2003.
        Parasuraman, R. �Neuroergonomics: research and practice. Theoretical Issues in
    Ergonomics Science. 4, 5-20, 2003.
        Sarter,N. and Sarter,M., Neuroergonomics: opportunities and challenges of merging cognitive
    neuroscience with cognitive ergonomics. Theoretical Issues in Ergonomics Science. 4, 142 ?150, 2003.
        So,R.H.Y. and Lor,F., �Computational Ergonomics: a possible extension of computational neuroscience? Definitions,
    possible benefits, and a case study on cybersickness? Contemporary Ergonomics 2004, Taylor & Francis.
        So,R.H.Y., Lor,F., Howarth,P., Stanney,K., and Cheung,R., �Dual-approach to predict levels of cybersickness:
    development of regression models and a biologically plausible computational model? A grant proposal.

Headings for Lecture 2 - Human visual systems: the science of psychophysics Part I and PartII
Learning material for Lecture 2:
        Ch1 entitled 'An Introduction to Vision Science' in Vision Science: photons to phenomenology
    by Stephen E. Palmer, MIT Press.
        Ch2 entitled 'Theoretical Approaches to Vision' in vision science: photons to phenomenology
    by Stephen E. Palmer, MIT Press.
        Ch1 entitled 'Studying the brain mechanisms for sensory functions' in Vision in the brain:
    organization and plasticity in the visual system by Panagiotis G. Simos, Swets & Zeitinger Publishers.

Headings for Lecture 3 - Physiological mechanism of spatial visionL PartI
Learning material for Lecture 3:
        Section4.1 entitled 'Physiological Mechanism' in Vision Science: photons to phenomenology
    by Stephen E. Palmer, MIT Press.
        Section4.4 entitled 'Visual pathways' in vision science: photons to phenomenology
    by Stephen E. Palmer, MIT Press.

Headings for Lecture 4 - Psychology and Physiology of The spatial frequency theory
Learning material for Lecture 4:
        Section4.2 entitled 'Psychophysical channels' in Vision Science: photons to phenomenology
    by Stephen E. Palmer, MIT Press.
        Appendix B entitled 'Connectionist modeling' in vision science: photons to phenomenology
    by Stephen E. Palmer, MIT Press. [Notes for discussion]

Headings for Lecture 5 - Introduction to optic-flow computation: the psychophysical aspects
Learning material for Lecture 5:
        Ch1 entitled 'Visual motion perception: an overiew' in Opticflow computation
    by Ajit Singh, IEEE Computer Society Press.
        Ch2 entitled 'Image flow and optic flow' in Opticflow computation
    by Ajit Singh, IEEE Computer Society Press.
        Ch3 entitled 'State of the Art' in Opticflow computation
    by Ajit Singh, IEEE Computer Society Press.
        Ch2 entitled 'Computational, psychophysical, and neurobiological approaches to motion measurement'
    in Neural Computation of Pattern Motion by Margaret E. Sereno, The MIT Press.

Headings for Lectures 6 & 7 - A Gabor filter model for the extraction of image flow: PartI
Learning material for Lecture 6&7:
        Heeger's 1987 paper entitled 'A model for the extraction of image flow'
    in J. Opt. Soc. Am. Vol.4 No.8

Headings for Lecture 8 - Psychophysics of visual motion perception: A Gabor filter model for the extraction of image flow: PartII
Learning material for Lecture 8:
        Heeger's 1987 paper entitled 'A model for the extraction of image flow'
    in J. Opt. Soc. Am. Vol.4 No.8

Headings for Lecture 9&10 - Introduction to ICA: modeling psychophysical aspects of visual motion perception
Learning material for Lectures 9&10:
        Ch1 of Independent component analysis by Hyvarinen et al.

Headings for Lectures 11 & 12 - Fast ICA - part I
Learning material for Lectures 11&12:
        Ch1 of Independent component analysis by Roberts and Everson.

Headings for Lecture 13 - Fast ICA - part II
Learning material for Lecture 13:
        Ch2 of Independent component analysis by Roberts and Everson.

Lecture 14 will be 'preliminary demonstration of individual projects in psychophysics'

Background Reading & Relevant Web sites
Homepage for Prof. Mitsuo Kawato
Homepage for ATR Computational Neuroscience Laboratories
Gatsby Computational Neuroscience Unit
Homepage on Prof. Christof Koch

Tutorial details

rhyso@ust.hk

It will be updated regularly...

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