0000000000363225

AUTHOR

Anna-kaisa Ylitalo

showing 7 related works from this author

Deducing self-interaction in eye movement data using sequential spatial point processes

2016

Eye movement data are outputs of an analyser tracking the gaze when a person is inspecting a scene. These kind of data are of increasing importance in scientific research as well as in applications, e.g. in marketing and man-machine interface planning. Thus the new areas of application call for advanced analysis tools. Our research objective is to suggest statistical modelling of eye movement sequences using sequential spatial point processes, which decomposes the variation in data into structural components having interpretation. We consider three elements of an eye movement sequence: heterogeneity of the target space, contextuality between subsequent movements, and time-dependent behaviou…

Statistics and ProbabilitymallintaminenFOS: Computer and information sciencesrecurrenceComputer sciencestochastic geometrylikelihoodcoverageVariation (game tree)Management Monitoring Policy and Lawheterogeneous media01 natural sciences050105 experimental psychologyPoint processMethodology (stat.ME)010104 statistics & probabilitysilmänliikkeetStatistical inference0501 psychology and cognitive sciences0101 mathematicsComputers in Earth SciencesStatistics - Methodologytietojärjestelmätstokastiset prosessitta112self-interacting random walkbusiness.industry05 social sciencesEye movementPattern recognitionStatistical modelRandom walkkatseenseurantakatseArtificial intelligenceGeometric modelingbusinessStochastic geometry
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Statistical inference for eye movement sequences using spatial and spatio-temporal point processes

2017

Eye tracking is a widely used method for recording eye movements, which are important indicators of ongoing cognitive processes during the viewing of a target stimulus. Despite the variety of applications, the analyses of eye movement data have been lacking of methods that could take both the spatial and temporal information into account. So far, most of the analyses are based on strongly aggregated measures, because eye movement data are considered to be complex due to their richness and large variation between and within the individuals. Therefore, the eye movement methodology needs new statistical tools in order to take full advantage of the data. This dissertation is among the first stud…

silmänliikkeetdatapisteprosessitspatio-temporal datamittausdata analysistilastomenetelmättrackingeye movementpoint processesstokastiset prosessit
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What we look at in paintings: A comparison between experienced and inexperienced art viewers

2016

How do people look at art? Are there any differences between how experienced and inexperienced art viewers look at a painting? We approach these questions by analyzing and modeling eye movement data from a cognitive art research experiment, where the eye movements of twenty test subjects, ten experienced and ten inexperienced art viewers, were recorded while they were looking at paintings. Eye movements consist of stops of the gaze as well as jumps between the stops. Hence, the observed gaze stop locations can be thought as a spatial point pattern, which can be modeled by a spatio-temporal point process. We introduce some statistical tools to analyze the spatio-temporal eye movement data, a…

Statistics and ProbabilityFOS: Computer and information sciencesCoverageComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION01 natural sciencesStatistics - Applications050105 experimental psychologyVisual arts010104 statistics & probabilitysilmänliikkeetInformationSystems_MODELSANDPRINCIPLES0501 psychology and cognitive sciencesApplications (stat.AP)0101 mathematicspoint processPaintingPoint (typography)05 social sciencesEye movementCognitioncognitive art researchtransition probabilityGazeTest (assessment)shift functionModeling and Simulationart viewersStatistics Probability and UncertaintyPsychologyintensity
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Modeling Forest Tree Data Using Sequential Spatial Point Processes

2021

AbstractThe spatial structure of a forest stand is typically modeled by spatial point process models. Motivated by aerial forest inventories and forest dynamics in general, we propose a sequential spatial approach for modeling forest data. Such an approach is better justified than a static point process model in describing the long-term dependence among the spatial location of trees in a forest and the locations of detected trees in aerial forest inventories. Tree size can be used as a surrogate for the unknown tree age when determining the order in which trees have emerged or are observed on an aerial image. Sequential spatial point processes differ from spatial point processes in that the…

Statistics and Probability010504 meteorology & atmospheric scienceshistory-dependent modelpaikkatietoanalyysi01 natural sciencesPoint process010104 statistics & probabilityilmakuvakartoitusfunctional summary statisticsFeature (machine learning)spatial point processes0101 mathematicsmaximum likelihoodtilastolliset mallitAerial image0105 earth and related environmental sciencesGeneral Environmental ScienceForest dynamicsSpatial structureApplied Mathematics15. Life on landAgricultural and Biological Sciences (miscellaneous)Tree (graph theory)metsänarviointiData setEnvironmental sciencekaukokartoitusStatistics Probability and UncertaintyGeneral Agricultural and Biological SciencesPoint process modelsCartographyordered sequence
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Silent music reading: Amateur musicians' visual processing and descriptive skill

2013

This article addresses the silent reading of music notation, combining eye-movement measures with a semantic analysis of readers’ verbal descriptions of the notated music. A group of musical novices ( n = 16) and two groups of musical amateurs (less experienced n = 11 and more experienced n = 10) participated in three separate measurement sessions during a nine-month-long university music course designed for future primary-school teachers. In each session they viewed a notated folk song for 30 s and then described what they had seen. Greater musical experience was found to be connected with shorter fixation durations, more linear scanning of the notated music, and more accurate and integra…

Musical notationAcousticsmedia_common.quotation_subjectEye movementExperimental and Cognitive PsychologyMusicalLinguisticsVisual processingReading (process)ta6131Semantic analysis (knowledge representation)ta516PsychologyAmateurMusicSilent readingmedia_commonMusicae Scientiae
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Reading ahead: Adult music students’ eye movements in temporally controlled performances of a children’s song

2014

In the present study, education majors minoring in music education ( n = 24) and music performance majors ( n =14) read and performed the original version and melodically altered versions of a simple melody in a given tempo. Eye movements during music reading and piano performances were recorded. Errorless trials were analyzed to explore the adjustments of visual processing in successful performances. The temporal length of the eye–hand span (time between gaze and the performed note) was typically around one second or less. A measure of gaze activity indicated that performers generally inspected two quarter-note areas between two metrical beat onsets. The performance majors operated with s…

MelodyCommunicationtemporaalinen kontrollibusiness.industrytemporal controlEye movementMusic educationGazeSight-readingEducationVisual processingEye movementsRhythmsilmän liikeeye–hand spanta6131ta516Eye–hand spanbusinessPsychologysight-readingMusicmusiikin lukeminenmusic readingCognitive psychologyInternational Journal of Music Education
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Silmänliikkeen fiksaatioiden tilastollinen mallintaminen

2009

mallintaminensilmänliikkeetsemi-Markov-prosessisakkadifiksaatiotutkimus
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