This 1-day* workshop is part of IEEE VIS 2017, in Phoenix, Arizona, 1-6 Oct
* morning session at VIS + afternoon group activity session at another venue nearby
Submission deadline: extended to June 30th
Notifications of acceptance: July 27th
– Camera ready due by: August 23rd
– Workshop day: October 2nd (now confirmed)
SCOPE OF THE WORKSHOP
Decisions, decisions, decisions. We make them all the time. But due to the vast amount of sensory and memory-derived data and limited ‘brain power’, humans have evolved simplifying rules to make ‘good enough’ decisions, quick enough. Most of the time this is fine, but sometimes, and especially when faced with uncertainty, these rules can result in poor decisions without us being aware of the fact. These are called cognitive biases. Much investigative work has been done on this systematic behaviour in making judgments, although attempts to mitigate the often negative impact of cognitive biases have generally been unsuccessful. Now, with vast complex dataset to analyse, people make use of visual tools and sophisticated analytics and this workshop addresses the challenge of improving decision making by reducing the impact of these cognitive biases in the tools developers design and build. (see Cognitive Bias for more information and some examples)
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 and medical practitioners, 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:
- cognitive biases in visual decision support system
- empirical methods for investigating cognitive biases
- visual analytic systems that support bias detection
- analytic techniques to mitigate cognitive biases
- integrating cognitive bias mitigation into existing software
- cognitive biases in collaborative systems (group biases)
- new classification schemes/frameworks for cognitive biases
- evaluation of decision support techniques/strategies
- cognitive biases in information visualisation (state of the art)
The workshop will include invited talks from experts in the field of cognitive biases and decision making, and short individual presentations. The afternoon session will be hands-on group activities and a forum for participants to exchange ideas and identify future research potential. We hope to continue to grow this interdisciplinary community to promote future collaboration.
We invite authors to submit technical and position papers of 2 to 4 pages in length (plus 1 page for references if necessary). All submissions (via IEEE PCS system) 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 available on the conference usb drive. Further details on submission page.
Geoffrey Ellis, Data Analysis and Visualisation 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
This workshop is supported by the EU project Visual Analytics for Sense-making in Criminal Intelligence Analysis (VALCRI) under grant number FP7-SEC-2013-608142.