Imperial College London
Portrait Picture

Professor Aldo Faisal

Faculty of Engineering, Department of Bioengineering

Professor of AI & Neuroscience
 
 
 
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Contact

 

+44 (0)20 7594 6373a.faisal Website

 
 
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Assistant

 

Miss Teresa Ng +44 (0)20 7594 8300

 
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Location

 

4.08Royal School of MinesSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@inbook{Harston:2022:10.1007/978-1-0716-2391-6_4,
author = {Harston, JA and Faisal, AA},
booktitle = {Neuromethods},
doi = {10.1007/978-1-0716-2391-6_4},
pages = {49--68},
title = {Methods and Models of Eye-Tracking in Natural Environments},
url = {http://dx.doi.org/10.1007/978-1-0716-2391-6_4},
year = {2022}
}
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RIS format (EndNote, RefMan)

TY  - CHAP
AB  - Mobile head-free eye-tracking is one of the most valuable methods we have in vision science for understanding the distribution and dynamics of attention in natural real-world tasks. However, mobile eye-tracking is still a somewhat nascent field, and experimental setups with such devices are not yet fully mature enough for consistently reliable investigation of real-world gaze behavior. Here, we review the development of eye-trackers from their inception to the current state of the art and discuss the experimental methodologies and technologies one can use to investigate natural goal-directed real-world gaze behavior in fully ecological experimental setups. We subsequently expand on the experimental approaches to discuss the modelling approaches used in the field with eye-tracking data, from conventional 2D saliency modelling to more fully embodied gaze approaches that incorporate gaze and motor behavior, which allow us to predict gaze dynamics in fully head-free experimental setups.
AU  - Harston,JA
AU  - Faisal,AA
DO  - 10.1007/978-1-0716-2391-6_4
EP  - 68
PY  - 2022///
SP  - 49
TI  - Methods and Models of Eye-Tracking in Natural Environments
T1  - Neuromethods
UR  - http://dx.doi.org/10.1007/978-1-0716-2391-6_4
ER  -
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