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dc.contributor.authorBirkeland, Åsmundeng
dc.contributor.authorTurkay, Cagatayeng
dc.contributor.authorViola, Ivaneng
dc.identifier.issn1542 - 1554en_US
dc.description.abstractFlow data is often visualized by animated particles inserted into a flow field. The velocity of a particle on the screen is typically linearly scaled by the velocities in the data. However, the perception of velocity magnitude in animated particles is not necessarily linear. We present a study on how different parameters affect relative motion perception. We have investigated the impact of four parameters. The parameters consist of speed multiplier, direction, contrast type and the global velocity scale. In addition, we investigated if multiple motion cues, and point distribution, affect the speed estimation. Several studies were executed to investigate the impact of each parameter. In the initial results, we noticed trends in scale and multiplier. Using the trends for the significant parameters, we designed a compensation model, which adjusts the particle speed to compensate for the effect of the parameters. We then performed a second study to investigate the performance of the compensation model. From the second study we detected a constant estimation error, which we adjusted for in the last study. In addition, we connect our work to established theories in psychophysics by comparing our model to a model based on Stevens' Power Law.en_US
dc.rightsAttribution CC BYeng
dc.subjectMotion visualizationeng
dc.subjectmotion perceptioneng
dc.subjectperceptual modeleng
dc.titlePerceptually Uniform Motion Spaceen_US
dc.typePeer reviewed
dc.typeJournal article
dc.source.journalIEEE Transactions on Visualization and Computer Graphics

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Attribution CC BY
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