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Exploring the Cognitive Load of Expert and Novice Map Users Using EEG and Eye Tracking

dc.contributor.authorKeskin, Merve
dc.contributor.authorOoms, Kristien
dc.contributor.authorDogru, Ahmet Ozgur
dc.contributor.authorDe Maeyer, Philippe
dc.contributor.ituauthorDoğru, Ahmet Özgür
dc.date.accessioned2026-01-29T06:15:14Z
dc.date.issued2020-07-08
dc.description.abstractThe main objective of this research is to explore the cognitive processes of expert and novice map users during the retrieval of map-related information, within varying difficulty levels (i.e., easy, moderate, hard), by using eye tracking and electroencephalogram (EEG). In this context, we present a spatial memory experiment consisting of a large number of stimuli to study the effect of task difficulty on map users’ behavior through cognitive load measurements. Next to the reaction time and success rate, we used fixation and saccade related eye tracking metrics (i.e., average fixation duration, the number of fixations per second, saccade amplitude and saccade velocity), and EEG power spectrum (i.e., event-related changes in alpha and theta frequency bands) to identify the cognitive load. While fixation metrics indicated no statistically significant difference between experts and novices, saccade metrics proved the otherwise. EEG power spectral density analysis, on the other side, suggested an increase in theta (i.e., event-related synchronization) and a decrease in alpha (except moderate tasks) (i.e., event-related desynchronization) at all difficulty levels of the task for both experts and novices, which is an indicator of cognitive load. Although no significant difference emerged between two groups, we found a significant difference in their overall performances when the participants were classified as good and relatively bad learners. Triangulating EEG results with the recorded eye tracking data and the qualitative analysis of focus maps indeed provided a detailed insight on the differences of the individuals’ cognitive processes during this spatial memory task.
dc.description.urihttps://doi.org/10.3390/ijgi9070429
dc.description.urihttps://www.mdpi.com/2220-9964/9/7/429/pdf
dc.description.urihttps://doaj.org/article/b4f1adb937c441bdb6ab2cb57a5b6624
dc.description.urihttps://dx.doi.org/10.3390/ijgi9070429
dc.description.urihttp://dx.doi.org/10.3390/ijgi9070429
dc.description.urihttps://biblio.ugent.be/publication/8689219
dc.description.urihttp://doi.org/10.3390/ijgi9070429
dc.description.urihttps://biblio.ugent.be/publication/8689219/file/8689221
dc.description.urihttp://hdl.handle.net/1854/LU-8689219
dc.description.urihttps://aperta.ulakbim.gov.tr/record/9981
dc.identifier.doi10.3390/ijgi9070429
dc.identifier.eissn2220-9964
dc.identifier.openairedoi_dedup___::a069f50d5343051bd7334e8023e2ed97
dc.identifier.orcid0000-0002-4678-5611
dc.identifier.orcid0000-0003-4921-7553
dc.identifier.orcid0000-0001-7415-1862
dc.identifier.orcid0000-0001-8902-3855
dc.identifier.startpage429
dc.identifier.urihttps://hdl.handle.net/11527/68833
dc.identifier.volume9
dc.language.isoeng
dc.publisherMDPI AG
dc.relation.ispartofISPRS International Journal of Geo-Information
dc.rightsOPEN
dc.sdg.typeGoal 10: Reduced Inequality
dc.subjectcognitive cartography
dc.subjectGeography (General)
dc.subjectcognitive load
dc.subjectDesynchronization
dc.subjectAttention
dc.subjectcartographic user experiment design
dc.subjectUpper alpha
dc.subjectPerformance
dc.subjectspatial memory
dc.subjecteye tracking
dc.subjectcognitive
dc.subjectEarth and Environmental Sciences
dc.subjectSynchronization
dc.subjectOscillations
dc.subjectTASK
dc.subjectG1-922
dc.subjectcartography
dc.subjectTheta
dc.subjectEEG
dc.subjectMemory load
dc.subjectResponses
dc.titleExploring the Cognitive Load of Expert and Novice Map Users Using EEG and Eye Tracking
dc.typeArticle
dspace.entity.typePublication
person.identifier.orcid0000-0001-7415-1862

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