CogniKit: An extensible tool for human cognitive modeling based on eye gaze analysis

Andreas Costi, Marios Belk, Christos Fidas, Argyris Constantinides, Andreas Pitsillides

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Citations (Scopus)

Abstract

This paper presents CogniKit; an extensible tool for human cognitive modeling. It is based on the analysis, classification and visualization of eye tracking data such as gaze points, fixation count and duration, saccades, gaze transition and stationary entropy, heat maps, areas of interests, etc. These are further processed, analyzed and classified for detecting higher level human cognitive factors such as cognitive processing styles and abilities. CogniKit comprises of two main components: i) a software application that collects and processes low- and highlevel eye gaze data metrics in real-time; and ii) an extensible interactive workbench for storing, analyzing, classifying and visualizing the collected eye gaze data. We developed an example application to demonstrate the use of CogniKit within a practical scenario.

Original languageEnglish
Title of host publicationProceedings of the 25th International Conference on Intelligent User Interfaces Companion. IUI 2020
PublisherAssociation for Computing Machinery
Pages130-131
Number of pages2
ISBN (Electronic)9781450375139
DOIs
Publication statusPublished - 17 Mar 2020
Externally publishedYes
Event25th International Conference on Intelligent User Interfaces, IUI 2020 - Cagliari, Italy
Duration: 17 Mar 202020 Mar 2020

Publication series

NameInternational Conference on Intelligent User Interfaces, Proceedings IUI

Conference

Conference25th International Conference on Intelligent User Interfaces, IUI 2020
Country/TerritoryItaly
CityCagliari
Period17/03/2020/03/20

Keywords

  • Classification Visualization
  • Eye Gaze Analysis
  • Human Cognitive Differences

ASJC Scopus subject areas

  • Software
  • Human-Computer Interaction

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