[Infovis] IEEE VIS 2014 CFP: Workshop on Dealing with Cognitive Biases in Visualizations

G.Elisabeta Marai g.elisabeta.marai at gmail.com
Tue Jul 29 01:19:48 CEST 2014




Workshop on Dealing with Cognitive Biases in Visualizations
http://decisive-workshop.dbvis.de/ <http://ocbworkshop.dbvis.de/>

This one-day workshop will be held as part of *IEEE VIS 2014*
<http://ieeevis.org/>, in Paris, 9-14 November

- Submission of extended abstract: 19th Sept

- Notifications of acceptance: 6th Oct

- Workshop day: 9/10th Nov (exact date to be confirmed)


Our inherent reliance on mental shortcuts, or heuristics, sometimes results
in deviations in judgment from what rational decision models would predict.
These deviations are known as cognitive biases. Heuristics allow us to make
“good enough” decisions without expending all of our cognitive effort on
the task, however, in critical decision environments, “good enough” is
often NOT good enough. Visualization tools are increasingly adept at making
sense of complex data, but researchers who study cognitive biases have come
to realize that the quality of decisions made with these tools are often
impaired because tool designers fail to address how heuristics and biases
operate in a human-computer interactive setting. Despite decades of
research on cognitive biases in controlled settings, there is yet no
“recipe book” for experimentally-validated tools and techniques to avoid
judgment biases when building tools for solving complex problems in the
real world. As well as considering software mitigation solutions, we would
also like to explore whether the way we visualize data is subject to
cognitive biases.

We invite participants from a wide range of disciplines such as information
visualization, visual analytics, software engineering, cognitive psychology
and decision science, as well as those close to end-user groups like
intelligence analysts, to explore some of the ways in which biases impact
user performance and share ideas and experiences about practical ways to
reduce or overcome these potentially harmful effects.

Topics of interest include, but are not limited to:

   - analytic techniques to mitigate cognitive biases
   - cognitive biases and information visualization
   - integrating cognitive bias mitigation into existing software
   - measuring susceptibility to cognitive bias
   - empirical methods for investigating cognitive biases
   - cognitive biases in collaborative systems
   - new classification schemes for cognitive biases
   - persuasive technology
   - evaluation techniques/methodologies
   - survey/SOTA

The workshop will include invited talks, short individual presentations,
panel sessions and group activities and will provide a forum for
participants to exchange ideas and establish a roadmap of the state of the
art and identify future research potential. We hope to grow this
interdisciplinary community to promote future collaboration.

We invite authors to submit an extended abstract (about 2 pages) of either
a position or technical paper. All submissions will be peer-reviewed and
judged on the basis of originality, contribution to the field, and
relevance to the workshop. Authors will then be invited to contribute to
the workshop through individual presentations and to submit full papers,
which will be published in the workshop proceedings. Further details will
be given in due course.

For further details please contact: Geoffrey Ellis,
ellis at dbvis.inf.uni-konstanz.de
Twitter:  @DECISIVe_ws
website: http://decisive-workshop.dbvis.de/ <http://ocbworkshop.dbvis.de/>

Geoffrey Ellis, University of Konstanz, Germany
David Peebles, University of Huddersfield, UK
Donald Kretz, Raytheon, USA
Gaëlle Lortal, THALES Research & Technology, Paris

-- Liz
G. Elisabeta Marai
Robotics Institute
School of Computer Science
Carnegie Mellon University

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