CfP: 2nd Workshop on Dealing with Cognitive Biases in Visualisations
This one-day workshop is part of IEEE VIS 2017, in Phoenix, Arizona, 1-6 Oct
IMPORTANT DATES (provisional)
– Submission deadline: June 16th
– Notifications of acceptance: July 14th
– Camera ready due by: July 14th
– Workshop day: August 14th
SCOPE OF THE WORKSHOP
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. Visualisation tools are increasingly adept at making sense of complex data, but researchers who study cognitive biases have come to realise 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 visualise data is subject to cognitive biases.
We invite participants from a wide range of disciplines such as information visualisation, 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 visualisation
- 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
- evaluation techniques/methodologies
- visual analytic systems that support bias detection and mitigation during exploratory data analysis
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 technical, position or short papers suitable for poster presentation. The paper length is dependent on what you wish to say, but should not exceed 4 pages plus 1 page for references if necessary. All submissions will be peer-reviewed and judged on the basis of originality, contribution to the field, and relevance to the workshop. Authors of accepted papers will then be invited to contribute to the workshop through individual presentations or a poster presentation in the main conference. Papers will be published in the workshop proceedings. Further details on submission page.
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Geoffrey Ellis, dbvis group, University of Konstanz, Germany
Evanthia Dimara, AVIZ team, INRIA, France
Donald Kretz, Applied Research Associates, USA
Alex Endert, Visual Analytics Lab, Georgia Tech, USA