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Linked and Coordinated Visual Analysis of Eye Movement Data

  • Michael Burch
  • , Günter Wallner
  • , Veerle Fürst
  • , Teodor Cristian Lungu
  • , Daan Boelhouwers
  • , Dhiksha Rajasekaran
  • , Richard Farla
  • , Sander Van Heesch

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer review

Samenvatting

Eye movement data can be used for a variety of research in marketing, advertisement, and other design-related industries to gain interesting insights into customer preferences. However, interpreting such data can be a challenging task due to its spatio-Temporal complexity. In this paper we describe a web-based tool that has been developed to provide various visualizations for interpreting eye movement data of static stimuli. The tool provides several techniques to visualize and analyze eye movement data. These visualizations are interactive and linked in a coordinated way to help gain more insights. Overall, this paper illustrates the features and functionality offered by the tool by using data recorded from transport map readers in a previously conducted experiment as use case. Furthermore, the paper discusses limitations of the tool and possible future developments.

Originele taal-2Engels
TitelProceedings - ETRA 2022
SubtitelACM Symposium on Eye Tracking Research and Applications
RedacteurenStephen N. Spencer
UitgeverijAssociation for Computing Machinery, Inc.
ISBN van elektronische versie9781450392525
DOI's
StatusGepubliceerd - 8 jun. 2022
Evenement2022 ACM Symposium on Eye Tracking Research and Applications, ETRA 2022 - Virtual, Online, Verenigde Staten van Amerika
Duur: 8 jun. 202211 jun. 2022

Congres

Congres2022 ACM Symposium on Eye Tracking Research and Applications, ETRA 2022
Land/RegioVerenigde Staten van Amerika
StadVirtual, Online
Periode8/06/2211/06/22

Bibliografische nota

Publisher Copyright:
© 2022 ACM.

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