abstract

On Implicit Elicitation of Cognitive Strategies using Gaze Transition Entropies in Pattern Recognition Tasks

Authors:

George E. Raptis,

Christos A. Fidas,

Nikolaos M. AvourisAuthors Info & Claims

CHI EA '17: Proceedings of the 2017 CHI Conference Extended Abstracts on Human Factors in Computing Systems

Pages 1993 - 2000

https://doi.org/10.1145/3027063.3053106

Published: 06 May 2017 Publication History

Abstract

Recent research provides evidence that individual differences on human cognitive strategies affect user performance and experience in diverse application domains. However, state-of-the-art elicitation methods of human cognitive strategies require from researchers to apply explicit, in-lab, and time-consuming "paper-and-pencil" techniques, compromising real-time integration of human cognitive strategies in interactive system design. Aiming to elaborate an implicit elicitation framework of human cognitive strategies, this paper reports on an in-lab eye-tracking study, which embraced sixty seven participants, who performed a credible "paper-and-pencil" cognitive strategy elicitation technique. Eye tracking analysis based on gaze transition entropies revealed quantitative differences on visual search patterns among individuals within visual pattern recognition tasks of varying complexity. Results of this study could drive the development of an implicit elicitation framework of human cognitive strategies.

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https://doi.org/10.3389/fpsyg.2024.1342018
Stark PJung AHahn JKasneci EGöllner R(2024)Using Gaze Transition Entropy to Detect Classroom Discourse in a Virtual Reality ClassroomProceedings of the 2024 Symposium on Eye Tracking Research and Applications10.1145/3649902.3653335(1-11)Online publication date: 4-Jun-2024
https://dl.acm.org/doi/10.1145/3649902.3653335
Yan DChen L(2023)The Influence of Personality Traits on User Interaction with Recommendation InterfacesACM Transactions on Interactive Intelligent Systems10.1145/355877213:1(1-39)Online publication date: 10-Mar-2023
https://dl.acm.org/doi/10.1145/3558772
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Index Terms

On Implicit Elicitation of Cognitive Strategies using Gaze Transition Entropies in Pattern Recognition Tasks
1. Human-centered computing

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cover image ACM Conferences

CHI EA '17: Proceedings of the 2017 CHI Conference Extended Abstracts on Human Factors in Computing Systems

May 2017

3954 pages

ISBN:9781450346566

DOI:10.1145/3027063

General Chairs:
Gloria Mark
University of California Irvine
,
Susan Fussell
Cornell University
,
Program Chairs:
Cliff Lampe
University of Michigan
,
m.c. schraefel
University of Southampton
,
Juan Pablo Hourcade
University of Iowa
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Caroline Appert
Université Paris-Sud
,
Daniel Wigdor
University of Toronto

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Published: 06 May 2017

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CHI '17

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CHI '17: CHI Conference on Human Factors in Computing Systems

May 6 - 11, 2017

Colorado, Denver, USA

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CHI EA '17 Paper Acceptance Rate 1,000 of 5,000 submissions, 20%;

Overall Acceptance Rate 6,164 of 23,696 submissions, 26%

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Cited By

Vargas ECarrasco-Ribelles LMarin-Morales JMolina CRaya M(2024)Feasibility of virtual reality and machine learning to assess personality traits in an organizational environmentFrontiers in Psychology10.3389/fpsyg.2024.134201815Online publication date: 24-Jul-2024
https://doi.org/10.3389/fpsyg.2024.1342018
Stark PJung AHahn JKasneci EGöllner R(2024)Using Gaze Transition Entropy to Detect Classroom Discourse in a Virtual Reality ClassroomProceedings of the 2024 Symposium on Eye Tracking Research and Applications10.1145/3649902.3653335(1-11)Online publication date: 4-Jun-2024
https://dl.acm.org/doi/10.1145/3649902.3653335
Yan DChen L(2023)The Influence of Personality Traits on User Interaction with Recommendation InterfacesACM Transactions on Interactive Intelligent Systems10.1145/355877213:1(1-39)Online publication date: 10-Mar-2023
https://dl.acm.org/doi/10.1145/3558772
Trigka MPapadoulis GDritsas EFidas C(2023)Influences of Cognitive Styles on EEG-Based Activity: An Empirical Study on Visual Content ComprehensionHuman-Computer Interaction – INTERACT 202310.1007/978-3-031-42293-5_61(496-500)Online publication date: 28-Aug-2023
https://dl.acm.org/doi/10.1007/978-3-031-42293-5_61
Chung JLee HMoon HLee E(2022)The Static and Dynamic Analyses of Drivers’ Gaze Movement Using VR Driving SimulatorApplied Sciences10.3390/app1205236212:5(2362)Online publication date: 24-Feb-2022
https://doi.org/10.3390/app12052362
Hao QSbert MFeng QZhang J(2022)Entropy Based Analysis of Gaze Fixation Duration2022 International Joint Conference on Neural Networks (IJCNN)10.1109/IJCNN55064.2022.9892505(01-09)Online publication date: 18-Jul-2022
https://doi.org/10.1109/IJCNN55064.2022.9892505
Gao HHasenbein LBozkir EGöllner RKasneci E(2022)Exploring Gender Differences in Computational Thinking Learning in a VR Classroom: Developing Machine Learning Models Using Eye-Tracking Data and Explaining the ModelsInternational Journal of Artificial Intelligence in Education10.1007/s40593-022-00316-z33:4(929-954)Online publication date: 4-Nov-2022
https://doi.org/10.1007/s40593-022-00316-z
Chen LCai WYan DBerkovsky S(2022)Eye-tracking-based personality prediction with recommendation interfacesUser Modeling and User-Adapted Interaction10.1007/s11257-022-09336-933:1(121-157)Online publication date: 24-Jun-2022
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Hao QSbert MFeixas MZhang YVila MZhang J(2022)Saccade Direction Information ChannelNeural Information Processing10.1007/978-3-031-30105-6_4(37-50)Online publication date: 22-Nov-2022
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Raptis GKatsini C(2021)Analyzing Scanpaths From A Field Dependence-Independence Perspective When Playing A Visual Search GameACM Symposium on Eye Tracking Research and Applications10.1145/3448018.3459655(1-7)Online publication date: 25-May-2021
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