Gaze-based Metrics of Cognitive Load in a Conjunctive Visual Memory Task

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dc.abstract.enMeasurement of Cognitive Load (CL) is of considerable importance to Human-Computer Interaction (HCI) as it relates to ease of learn- and usability. Numerous methods have been used for this purpose, both subjective and objective. The former relies on perception of expended effort subject to confounding factors. Among objective measures, eye tracking has demonstrated its effectiveness as a precise and non-invasive alternative. Since eye-tracking indices have mainly been tested in tasks involving single visual properties (e.g., shape), this work aims to compare their sensitivity to conjunctive features. Specifically, this study evaluates the Low/High Index of Pupillary Activity (LHIPA) and microsaccade magnitude in the Color Visual Short-Term Memory (CVSTM) task versus the previously validated n-back task. Results show LHIPA and microsaccade magnitude are as effective in discerning baseline and task in CVSTM as in n-back, replicating earlier results and extending their reliability for evaluation of CL in tasks involving multivalent conjunctive features.
dc.affiliationWydział Psychologii w Warszawie
dc.affiliationInstytut Psychologii
dc.conferenceInternational Conference on Human Factors in Computing Systems 2023
dc.conference.countryNiemcy
dc.conference.datefinish2023-04-28
dc.conference.datestart2023-04-23
dc.conference.placeHamburg
dc.conference.seriesInternational Conference on Human Factors in Computing Systems
dc.conference.seriesshortcutCHI
dc.conference.seriesweblinkhttps://chi2023.acm.org/
dc.conference.shortcutCHI'23
dc.conference.weblinkhttps://chi2023.acm.org/
dc.contributor.authorBacchin, Davide
dc.contributor.authorGehrer, Nina A.
dc.contributor.authorKrejtz, Krzysztof
dc.contributor.authorDuchowski, Andrew T.
dc.contributor.authorGamberini, Luciano
dc.date.access2023
dc.date.accessioned2024-01-14T11:32:34Z
dc.date.available2024-01-14T11:32:34Z
dc.date.issued2023
dc.description.accesstimeat_publication
dc.description.physical1-8
dc.description.versionfinal_published
dc.identifier.doi10.1145/3544549.3585650
dc.identifier.isbn9781450394222
dc.identifier.urihttps://share.swps.edu.pl/handle/swps/362
dc.identifier.weblinkhttps://dl.acm.org/doi/10.1145/3544549.3585650
dc.languageen
dc.pbn.affiliationpsychologia
dc.publisherAssociation for Computing Machinery
dc.publisher.ministerialAssociation for Computing Machinery
dc.relation.bookCHI EA '23 : extended abstracts of the 2023 CHI Conference on Human Factors in Computing Systems
dc.rightsClosedAccess
dc.rights.explanationMateriał konferencyjny, płatny dostęp.
dc.rights.questionNo_rights
dc.share.monoOTHER
dc.swps.sciencecloudnosend
dc.titleGaze-based Metrics of Cognitive Load in a Conjunctive Visual Memory Task
dc.title.journalExtended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems
dc.typeMonographyChapterConference
dspace.entity.typeBook