Measuring Cognition Load Using Eye-Tracking Parameters Based on Algorithm Description Tools

Katona, Jozsef ORCID: https://orcid.org/0000-0002-8188-2425 (2022) Measuring Cognition Load Using Eye-Tracking Parameters Based on Algorithm Description Tools. Sensors, 22 (3). p. 912. ISSN 1424-8220

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Abstract

Writing a computer program is a complex cognitive task, especially for a new person in the field. In this research an eye-tracking system was developed and applied, which allows the observation of eye movement parameters during programming as a complex, cognitive process, and the conclusions can be drawn from the results. The aim of the paper is to examine whether the flowchart or Nassi–Shneiderman diagram is a more efficient algorithm descripting tool for describing cognitive load by recording and evaluating eye movement parameters. The results show that the case of the interpreting flowchart has significantly longer fixation duration, more number of fixations, and larger pupil diameter than the case of the Nassi–Shneiderman diagram interpreting. Based on the results of the study, it is clear how important it is to choose the right programming tools for efficient and lower cost application development.

Item Type:	Article
Uncontrolled Keywords:	cognitive task; cognition load; eye-tracking; programming; algorithm description tools
Divisions:	Informatika Intézet > Szoftverfejlesztési és Alkalmazási Tanszék
Depositing User:	Gergely Beregi
Date Deposited:	22 Jun 2022 12:50
Last Modified:	22 Jun 2022 13:13
URI:	http://publication.repo.uniduna.hu/id/eprint/877
MTMT:	32618467

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