Authors:
Vicente Pallarés
1
;
Lorena Rami
2
and
Laura Dempere-Marco
3
Affiliations:
1
Universitat Pompeu Fabra, Spain
;
2
IDIBAPS and Hospital Clinic, Spain
;
3
Universitat Pompeu Fabra and Universitat de Vic-Universitat Central de Catalunya, Spain
Keyword(s):
Eye-Tracking, Feature Domain Analysis, Visual Search, Aging.
Related
Ontology
Subjects/Areas/Topics:
Applications and Services
;
Artificial Intelligence
;
Biomedical Engineering
;
Biomedical Signal Processing
;
Computer Vision, Visualization and Computer Graphics
;
Data Manipulation
;
Health Engineering and Technology Applications
;
Human-Computer Interaction
;
Medical Image Detection, Acquisition, Analysis and Processing
;
Methodologies and Methods
;
Neurocomputing
;
Neurotechnology, Electronics and Informatics
;
Pattern Recognition
;
Physiological Computing Systems
;
Physiological Processes and Bio-Signal Modeling, Non-Linear Dynamics
;
Sensor Networks
;
Soft Computing
Abstract:
The process of actively scanning a visual scene while looking for something in a cluttered environment is known as visual search. In this work, we show that it is possible to disentangle the strategies pursued by subjects to solve visual tasks by investigating dynamical aspects inherent to eye-tracking data. A novel method is proposed to characterize visual search strategies in a generalized N-dimensional feature domain, which allows us to investigate spatial-temporal aspects of the search as well as the subjects’ reliance on visual cues. In order to validate the proposed method, we have developed an experimental paradigm based on a double conjunction search in which one the visual cues is systematically manipulated, which can induce featurebased strategies in the observers. On the basis of the preliminary evidence presented here, we argue that this characterization of visual search strategies opens new avenues to assess cognitive function and its relation to normal aging.