short-paper

Eye Movement Features in response to Comprehension Performance during the Reading of Programs

Authors:

Minoru Nakayama and

Hiroto HaradaAuthors Info & Claims

ETRA '20 Short Papers: ACM Symposium on Eye Tracking Research and Applications

June 2020

Article No.: 55, Pages 1 - 5

https://doi.org/10.1145/3379156.3391981

Published: 02 June 2020 Publication History

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Abstract

Some features of eye movement during the reading of program code were analysed in order to develop a procedure to assess viewer comprehension ability. A set of eye movement data which was created by the measurement of eye movement during the viewing of a code programming project was used. While backward eye movement is natural under normal reading circumstances, this paper focuses on intentional eye movement in the opposite direction of the usual pattern of reading while viewing blocks of code, and the impact of the frequency of this on the comprehension of a code, which was confirmed. In examining the frequency of this reading behaviour, there were significant differences in both overall fixation times and mean saccade lengths for the two levels of comprehension of the code.

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Cited By

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Kamahara JNagamatsu TIto KHiroe MSao HAoyagi SNagata JTakada K(2023)Distinguishing Orthodontic Experts From Laypersons Through Gaze AnalysisIEEE Access10.1109/ACCESS.2023.327199011(44444-44453)Online publication date: 2023
https://doi.org/10.1109/ACCESS.2023.3271990
Mondal SDas PBhattacharjee Rudra T(2022)Measuring code comprehension effort using code reading patternSādhanā10.1007/s12046-022-01876-547:3Online publication date: 17-Jun-2022
https://doi.org/10.1007/s12046-022-01876-5
Harada HNakayama M(2021)Estimation of reading ability of program codes using features of eye movementsACM Symposium on Eye Tracking Research and Applications10.1145/3448018.3457421(1-5)Online publication date: 25-May-2021
https://dl.acm.org/doi/10.1145/3448018.3457421

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Published In

ETRA '20 Short Papers: ACM Symposium on Eye Tracking Research and Applications

June 2020

305 pages

ISBN:9781450371346

DOI:10.1145/3379156

Editors:
Andreas Bulling
University of Stuttgart, Germany
,
Anke Huckauf
Ulm University, Germany
,
Eakta Jain
University of Florida, USA
,
Ralph Radach
University of Wuppertal, Germany
,
Daniel Weiskopf
University of Stuttgart, Germany

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 02 June 2020

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ETRA '20: 2020 Symposium on Eye Tracking Research and Applications

June 2 - 5, 2020

Stuttgart, Germany

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Kamahara JNagamatsu TIto KHiroe MSao HAoyagi SNagata JTakada K(2023)Distinguishing Orthodontic Experts From Laypersons Through Gaze AnalysisIEEE Access10.1109/ACCESS.2023.327199011(44444-44453)Online publication date: 2023
https://doi.org/10.1109/ACCESS.2023.3271990
Mondal SDas PBhattacharjee Rudra T(2022)Measuring code comprehension effort using code reading patternSādhanā10.1007/s12046-022-01876-547:3Online publication date: 17-Jun-2022
https://doi.org/10.1007/s12046-022-01876-5
Harada HNakayama M(2021)Estimation of reading ability of program codes using features of eye movementsACM Symposium on Eye Tracking Research and Applications10.1145/3448018.3457421(1-5)Online publication date: 25-May-2021
https://dl.acm.org/doi/10.1145/3448018.3457421

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Estimation of reading ability of program codes using features of eye movements

Reading with Screen Magnification: Eye Movement Analysis Using Compensated Gaze Tracks

Classification of reading and not reading behavior based on eye movement analysis

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