Search Results

Documents authored by Purchase, Helen C.

Found 2 Possible Name Variants:

Purchase, Helen C.

Document
DOI: 10.4230/LIPIcs.GD.2024.21
The Perception of Stress in Graph Drawings

Authors: Gavin J. Mooney, Helen C. Purchase, Michael Wybrow, Stephen G. Kobourov, and Jacob Miller

Published in: LIPIcs, Volume 320, 32nd International Symposium on Graph Drawing and Network Visualization (GD 2024)

Abstract
Most of the common graph layout principles (a.k.a. "aesthetics") on which many graph drawing algorithms are based are easy to define and to perceive. For example, the number of pairs of edges that cross each other, how symmetric a drawing looks, the aspect ratio of the bounding box, or the angular resolution at the nodes. The extent to which a graph drawing conforms to these principles can be determined by looking at how it is drawn - that is, by looking at the marks on the page - without consideration for the underlying structure of the graph. A key layout principle is that of optimising "stress", the basis for many algorithms such as the popular Kamada & Kawai algorithm and several force-directed algorithms. The stress of a graph drawing is, loosely speaking, the extent to which the geometric distance between each pair of nodes is proportional to the shortest path between them - over the whole graph drawing. The definition of stress therefore relies on the underlying structure of the graph (the "paths") in a way that other layout principles do not, making stress difficult to describe to novices unfamiliar with graph drawing principles, and, we believe, difficult to perceive. We conducted an experiment to see whether people (novices as well as experts) can see stress in graph drawings, and found that it is possible to train novices to "see" stress - even if their perception strategies are not based on the definitional concepts.
Cite as

Gavin J. Mooney, Helen C. Purchase, Michael Wybrow, Stephen G. Kobourov, and Jacob Miller. The Perception of Stress in Graph Drawings. In 32nd International Symposium on Graph Drawing and Network Visualization (GD 2024). Leibniz International Proceedings in Informatics (LIPIcs), Volume 320, pp. 21:1-21:17, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2024)

Copy BibTex To Clipboard

@InProceedings{mooney_et_al:LIPIcs.GD.2024.21,
  author =	{Mooney, Gavin J. and Purchase, Helen C. and Wybrow, Michael and Kobourov, Stephen G. and Miller, Jacob},
  title =	{{The Perception of Stress in Graph Drawings}},
  booktitle =	{32nd International Symposium on Graph Drawing and Network Visualization (GD 2024)},
  pages =	{21:1--21:17},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-343-0},
  ISSN =	{1868-8969},
  year =	{2024},
  volume =	{320},
  editor =	{Felsner, Stefan and Klein, Karsten},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.GD.2024.21},
  URN =		{urn:nbn:de:0030-drops-213051},
  doi =		{10.4230/LIPIcs.GD.2024.21},
  annote =	{Keywords: Stress, Graph Drawing, Visual Perception}
}
Document
DOI: 10.4230/DagRep.5.11.103
Crowdsourcing and Human-Centred Experiments (Dagstuhl Seminar 15481)

Authors: Daniel Archambault, Tobias Hoßfeld, and Helen C. Purchase

Published in: Dagstuhl Reports, Volume 5, Issue 11 (2016)

Abstract
This report documents the program and the outcomes of Dagstuhl Seminar 15481 "Evaluation in the Crowd: Crowdsourcing and Human-Centred Experiments". Human-centred empirical evaluations play important roles in the fields of human-computer interaction, visualization, graphics, multimedia, and psychology. The advent of crowdsourcing platforms, such as Amazon Mechanical Turk or Microworkers, has provided a revolutionary methodology to conduct human-centred experiments. Through such platforms, experiments can now collect data from hundreds, even thousands, of participants from a diverse user community over a matter of weeks, greatly increasing the ease with which we can collect data as well as the power and generalizability of experimental results. However, such an experimental platform does not come without its problems: ensuring participant investment in the task, defining experimental controls, and understanding the ethics behind deploying such experiments en-masse. The major interests of the seminar participants were focused in different working groups on (W1) Crowdsourcing Technology, (W2) Crowdsourcing Community, (W3) Crowdsourcing vs. Lab, (W4) Crowdsourcing & Visualization, (W5) Crowdsourcing & Psychology, (W6) Crowdsourcing & QoE Assessment.
Cite as

Daniel Archambault, Tobias Hoßfeld, and Helen C. Purchase. Crowdsourcing and Human-Centred Experiments (Dagstuhl Seminar 15481). In Dagstuhl Reports, Volume 5, Issue 11, pp. 103-126, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2016)

Copy BibTex To Clipboard

@Article{archambault_et_al:DagRep.5.11.103,
  author =	{Archambault, Daniel and Ho{\ss}feld, Tobias and Purchase, Helen C.},
  title =	{{Crowdsourcing and Human-Centred Experiments (Dagstuhl Seminar 15481)}},
  pages =	{103--126},
  journal =	{Dagstuhl Reports},
  ISSN =	{2192-5283},
  year =	{2016},
  volume =	{5},
  number =	{11},
  editor =	{Archambault, Daniel and Ho{\ss}feld, Tobias and Purchase, Helen C.},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagRep.5.11.103},
  URN =		{urn:nbn:de:0030-drops-57676},
  doi =		{10.4230/DagRep.5.11.103},
  annote =	{Keywords: Crowdsourcing; Human Computation; Crowdsourcing Design, Mechanisms, Engineering; Practical Experience; Computer Graphics; Applied Perception; HCI; Visualization}
}

Purchase, Helen

Document
DOI: 10.4230/DagRep.3.5.19
Information Visualization - Towards Multivariate Network Visualization (Dagstuhl Seminar 13201)

Authors: Andreas Kerren, Helen Purchase, and Mathew O. Ward

Published in: Dagstuhl Reports, Volume 3, Issue 5 (2013)

Abstract
Information Visualization (InfoVis) focuses on the use of visualization techniques to help people understand and analyze large and complex data sets. The aim of this third Dagstuhl Seminar on Information Visualization was to bring together theoreticians and practitioners from Information Visualization, HCI, and Graph Drawing with a special focus on multivariate network visualization, i.e., on graphs where the nodes and/or edges have additional (multidimensional) attributes. To support discussions related to the visualization of real world data, researchers from selected application areas, especially bioinformatics, social sciences, and software engineering, were also invited. During the seminar, working groups on six different topics were formed and enabled a critical reflection on ongoing research efforts, the state of the field in multivariate network visualization, and key research challenges today. This report documents the program and the outcomes of Dagstuhl Seminar 13201 "Information Visualization -- Towards Multivariate Network Visualization".
Cite as

Andreas Kerren, Helen Purchase, and Mathew O. Ward. Information Visualization - Towards Multivariate Network Visualization (Dagstuhl Seminar 13201). In Dagstuhl Reports, Volume 3, Issue 5, pp. 19-42, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2013)

Copy BibTex To Clipboard

@Article{kerren_et_al:DagRep.3.5.19,
  author =	{Kerren, Andreas and Purchase, Helen and Ward, Mathew O.},
  title =	{{Information Visualization - Towards Multivariate Network Visualization (Dagstuhl Seminar 13201)}},
  pages =	{19--42},
  journal =	{Dagstuhl Reports},
  ISSN =	{2192-5283},
  year =	{2013},
  volume =	{3},
  number =	{5},
  editor =	{Kerren, Andreas and Purchase, Helen and Ward, Mathew O.},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagRep.3.5.19},
  URN =		{urn:nbn:de:0030-drops-41775},
  doi =		{10.4230/DagRep.3.5.19},
  annote =	{Keywords: Information visualization, visualization, network visualization, graph drawing, visual analytics, network analysis, interaction}
}
Questions / Remarks / Feedback
X

Feedback for Dagstuhl Publishing


Thanks for your feedback!

Feedback submitted

Could not send message

Please try again later or send an E-mail
© 2023-2024 Schloss Dagstuhl – LZI GmbH About DROPS Imprint Privacy Contact