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Modeling How Humans Judge Dot-Label Relations in Point Cloud Visualizations

Reckziegel, Martin and Pfeiffer, Linda and Heine, Christian and Jänicke, Stefan (2020) Modeling How Humans Judge Dot-Label Relations in Point Cloud Visualizations. IEEE Transactions on Visualization and Computer Graphics, 26 (6), pp. 2144-2155. IEEE - Institute of Electrical and Electronics Engineers. doi: 10.1109/TVCG.2020.2970509. ISSN 1077-2626.

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Abstract

When point clouds are labeled in information visualization applications, sophisticated guidelines as in cartography do not yet exist. Existing naive strategies may mislead as to which points belong to which label. To inform improved strategies, we studied factors influencing this phenomenon. We derived a class of labeled point cloud representations from existing applications and we defined different models predicting how humans interpret such complex representations, focusing on their geometric properties. We conducted an empirical study, in which participants had to relate dots to labels in order to evaluate how well our models predict. Our results indicate that presence of point clusters, label size, and angle to the label have an effect on participants’ judgment as well as that the distance measure types considered perform differently discouraging the use of label centers as reference points.

Item URL in elib:https://elib.dlr.de/134791/
Document Type:Article
Title:Modeling How Humans Judge Dot-Label Relations in Point Cloud Visualizations
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Reckziegel, MartinLeipzig UniversityUNSPECIFIEDUNSPECIFIED
Pfeiffer, LindaUNSPECIFIEDhttps://orcid.org/0000-0003-0135-6060UNSPECIFIED
Heine, ChristianLeipzig UniversityUNSPECIFIEDUNSPECIFIED
Jänicke, StefanUniversity of Southern Denmarkhttps://orcid.org/0000-0001-9353-5212UNSPECIFIED
Date:2020
Journal or Publication Title:IEEE Transactions on Visualization and Computer Graphics
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In SCOPUS:Yes
In ISI Web of Science:Yes
Volume:26
DOI:10.1109/TVCG.2020.2970509
Page Range:pp. 2144-2155
Publisher:IEEE - Institute of Electrical and Electronics Engineers
ISSN:1077-2626
Status:Published
Keywords:Human judgment model;document visualization;label placement
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:other
DLR - Research area:Raumfahrt
DLR - Program:R - no assignment
DLR - Research theme (Project):R - no assignment
Location: Jena
Institutes and Institutions:Institute of Data Science
Deposited By: Pfeiffer, Linda
Deposited On:29 Jun 2020 08:41
Last Modified:01 Jul 2022 03:00

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