Influences of data filtering on human–computer interaction by gaze-contingent display and eye-tracking applications

We describe an interactive gaze-contingent display (GCD) applied to clinical applications; the system uses a simple texture hole to inhibit peripheral vision, to test and stress overt mechanisms of visual searching in normal subjects. The correct use of GCD in vision research is affected by tremor o...

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Bibliographic Details
Published in:Computers in human behavior Vol. 26; no. 6; pp. 1555 - 1563
Main Authors: Veneri, Giacomo, Federighi, Pamela, Rosini, Francesca, Federico, Antonio, Rufa, Alessandra
Format: Journal Article
Language:English
Published: Kidlington Elsevier Ltd 01.11.2010
Elsevier
Subjects:
Applied psychology
Attentive displays
Biological and medical sciences
Dispersions
Eye movements
Eye-tracking
Filter
Filtering
Fittings
Fundamental and applied biological sciences. Psychology
Gaze-contingent displays
Human behavior
Impulse response
Miscellaneous
Psychology. Psychoanalysis. Psychiatry
Psychology. Psychophysiology
Searching
Surface layer
Texture
Eye movements
Gaze-contingent displays
Filter
Eye-tracking
Attentive displays
Human
Gaze
Attention
Computer
Man machine relation
Cognition
Eye movement
ISSN:0747-5632, 1873-7692
Online Access:Get full text
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Summary:We describe an interactive gaze-contingent display (GCD) applied to clinical applications; the system uses a simple texture hole to inhibit peripheral vision, to test and stress overt mechanisms of visual searching in normal subjects. The correct use of GCD in vision research is affected by tremor of the hole, due to system noise, nystagmus, eye blinking, calibration and subject reactivity. These issues compromise the execution of task. In order to obtain a stable GCD hole, we implemented a predictive gaze-contingent display (PGCD), fitting through dispersion of fixations and modulating a filter. The paper describes the PGCD and compare it with the common technique, providing evidence that humans fit exploration based on the characteristics of the computer system; in particular we found significant difference applying PGCD or a simple finite impulse response filter. We suggest that a correct human–computer interaction applied to neuropsychological context must be developed taking in consideration both technical point of view and human behavior.
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ISSN:0747-5632
1873-7692
DOI:10.1016/j.chb.2010.05.030