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Documents authored by Archambault, Daniel

Document
DOI: 10.4230/DagRep.14.2.191
Reflections on Pandemic Visualization (Dagstuhl Seminar 24091)

Authors: Daniel Archambault, Fintan McGee, Nicolás Reinoso-Schiller, Tatiana von Landesberger, and Simone Scheithauer

Published in: Dagstuhl Reports, Volume 14, Issue 2 (2024)

Abstract
This report documents the program and the outcomes of Dagstuhl Seminar "Reflections on Pandemic Visualization" (24091). The fight against COVID-19 has highlighted the crucial role of data visualization and analytics, prompting significant innovations and collaborations. This Dagstuhl Seminar brought together experts from various fields to reflect on the lessons learned. The aim is to document and disseminate these insights, enhancing preparedness for future global health crises.
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Daniel Archambault, Fintan McGee, Nicolás Reinoso-Schiller, Tatiana von Landesberger, and Simone Scheithauer. Reflections on Pandemic Visualization (Dagstuhl Seminar 24091). In Dagstuhl Reports, Volume 14, Issue 2, pp. 191-205, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2024)

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@Article{archambault_et_al:DagRep.14.2.191,
  author =	{Archambault, Daniel and McGee, Fintan and Reinoso-Schiller, Nicol\'{a}s and von Landesberger, Tatiana and Scheithauer, Simone},
  title =	{{Reflections on Pandemic Visualization (Dagstuhl Seminar 24091)}},
  pages =	{191--205},
  journal =	{Dagstuhl Reports},
  ISSN =	{2192-5283},
  year =	{2024},
  volume =	{14},
  number =	{2},
  editor =	{Archambault, Daniel and McGee, Fintan and Reinoso-Schiller, Nicol\'{a}s and von Landesberger, Tatiana and Scheithauer, Simone},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagRep.14.2.191},
  URN =		{urn:nbn:de:0030-drops-205043},
  doi =		{10.4230/DagRep.14.2.191},
  annote =	{Keywords: Epidemiology, Pandemic, Preparedness, Visualisation}
}
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)

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@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}
}
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