Eye Gaze on Scatterplot: Concept and First Results of Recommendations for Exploration of SPLOMs Using Implicit Data Selection

Nils Rodrigues, Lin Shao, Jia Jun Yan, Tobias Schreck, Daniel Weiskopf

Publikation: Beitrag in Buch/Bericht/KonferenzbandBeitrag in einem KonferenzbandBegutachtung

Abstract

We propose a three-step concept and visual design for supporting the visual exploration of high-dimensional data in scatterplots through eye-Tracking. First, we extract subsets in the underlying data using existing classifications, automated clustering algorithms, or eye-Tracking. For the latter, we map gaze to the underlying data dimensions in the scatterplot. Clusters of data points that have been the focus of the viewers' gaze are marked as clusters of interest (eye-mind hypothesis). In a second step, our concept extracts various properties from statistics and scagnostics from the clusters. The third step uses these measures to compare the current data clusters from the main scatterplot to the same data in other dimensions. The results enable analysts to retrieve similar or dissimilar views as guidance to explore the entire data set. We provide a proof-of-concept implementation as a test bench and describe a use case to show a practical application and initial results.

Originalspracheenglisch
TitelProceedings - ETRA 2022
UntertitelACM Symposium on Eye Tracking Research and Applications
Redakteure/-innenStephen N. Spencer
Herausgeber (Verlag)ACM/IEEE
Seitenumfang7
ISBN (elektronisch)9781450392525
DOIs
PublikationsstatusVeröffentlicht - 8 Juni 2022
Veranstaltung2022 ACM Symposium on Eye Tracking Research and Applications: ETRA 2022 - Virtuell, USA / Vereinigte Staaten
Dauer: 8 Juni 202211 Juni 2022

Konferenz

Konferenz2022 ACM Symposium on Eye Tracking Research and Applications
KurztitelETRA 2022
Land/GebietUSA / Vereinigte Staaten
OrtVirtuell
Zeitraum8/06/2211/06/22

ASJC Scopus subject areas

  • Sensorische Systeme
  • Human-computer interaction
  • Ophthalmologie
  • Maschinelles Sehen und Mustererkennung

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