Paper Info
Title
A Novel Technique to develop Cognitive Models for Ambiguous Image Identification using Eye Tracker
Abstract
Human behavior can be analyzed using Eye tracker. Thus, it is used for revealing the cognitive processes for object identification. Cognitive process is the mental ability for identification of what our eyes see. Vision with 20/20 sometimes may not reveal the purpose. In this study, ambiguous images are taken to observe the cognitive process in participants. During the perception of an object, a participant uses goal-directed search for identifying various objects. Dense gaze coordinates provide the region of interests and are considered as the target regions for object identification in ambiguous images. These data are used to develop cognitive models for identification of ambiguous images. Features such as, eye fixation, pupil diameter, fixation durations, moments of inertia, and polar moments are used for developing the cognitive model. Three different feature selection methods along with six different classifiers are used for the task of classification. The selection of a subset of features using hypothesis testing performed well, compared to principal component analysis based dimensionality reduction method. This study could be used in detecting whether a participants is lying or not while perceiving an ambiguous image.
Year
DOI
Venue
2020
10.1109/TAFFC.2017.2768026
IEEE Transactions on Affective Computing
Keywords
Field
DocType
Feature extraction,Gaze tracking,Computational modeling,Data models,Cognition,Object recognition,Electronic mail
Computer vision,Dimensionality reduction,Feature selection,Psychology,Eye tracking,Fixation (visual),Artificial intelligence,Cognitive model,Cognition,Perception,Ambiguous image
Journal
Volume
Issue
ISSN
11
1
1949-3045
Citations 
PageRank 
References 
0
0.34
10
Authors
5
Name
Order
Citations
PageRank
Anup Kumar Roy100.68
Manjunatha Mahadevappa24914.56
Rajlakshmi Guha300.68
Jayanta Mukhopadhyay47226.05
Nadeem Akhtar500.34