{"id":558,"date":"2017-09-26T19:44:55","date_gmt":"2017-09-26T18:44:55","guid":{"rendered":"https:\/\/decisive-workshop.dbvis.de\/?page_id=558"},"modified":"2019-03-26T23:02:44","modified_gmt":"2019-03-26T22:02:44","slug":"schedule","status":"publish","type":"page","link":"https:\/\/decisive-workshop.dbvis.de\/","title":{"rendered":"Programme"},"content":{"rendered":"

Monday 2 October 2017<\/h3>\n

Many thanks to all our presenters and also to our attentive audience who, from all accounts, made this a very successful workshop. Video of the presentations (slides and audio) will be available as soon as this is provided by the conference. Abstracts and full text is available by following the \u21d2<\/span>.<\/p>\n

Morning session (8.30 – 12.10)<\/h3>\n

Room 105 – ABC (see map<\/a>)<\/span><\/span><\/p>\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
\"\"<\/a><\/td>\nIntroduction<\/td>\nGeoff Ellis<\/td>\n<\/tr>\n
\"\"<\/a>\"\"<\/a><\/td>\nA Framework for Studying Biases in Visualization Research \u00a0\u21d2<\/a><\/td>\nMichael Sedlmair, University of Vienna<\/td>\n<\/tr>\n
\u00a0\"\"<\/a>\"\"<\/a><\/td>\nFour Perspectives on Human Bias in Visual Analytics \u00a0\u21d2<\/a><\/td>\nEmily Wall, Georgia Tech<\/td>\n<\/tr>\n
\u00a0\"\"<\/a>\"\"<\/a><\/td>\nThe Curse of Knowledge in Visual Data Communication\u00a0 \u00a0\u21d2<\/a><\/td>\nCindy Xiong, Northwestern University<\/td>\n<\/tr>\n
\u00a0\"\"<\/a>\"\"<\/a><\/td>\nBias by default? A means for a priori interface measurement \u00a0\u21d2<\/a><\/td>\nJoseph Cottam, Pacific Northwest Labs<\/td>\n<\/tr>\n
\"\"<\/a>\"\"<\/a><\/td>\nTowards a Bayesian Model of Data Visualization Cognition \u00a0\u21d2<\/a><\/td>\nYifan Wu, UC Berkeley<\/td>\n<\/tr>\n
\u00a0\"\"<\/a>\"\"<\/a><\/td>\nDiscovering Cognitive Biases in a Visual Analytics Environment \u00a0\u21d2<\/a><\/td>\nMichael Bedek, Graz University of Technology<\/td>\n<\/tr>\n
\u00a0\"\"<\/a>\"\"<\/a><\/td>\nTowards Understanding Familiarity Related Cognitive Biases in Visualization Design and Usage \u00a0\u21d2<\/a><\/td>\nAritra Dasgupta, Pacific Northwest Labs<\/td>\n<\/tr>\n
10.10<\/td>\n\u00a0Refreshment break<\/td>\n<\/td>\n<\/tr>\n
\"\"<\/a>\"\"<\/a><\/td>\nData Visualization Literacy and Visualization Biases: Cases for Merging Parallel Threads \u00a0\u21d2<\/a><\/td>\nHamid Mansoor, Worcester Polytechnic<\/td>\n<\/tr>\n
\u00a0\"\"<\/a>\"\"<\/a><\/td>\nPromoting Representational Fluency for Cognitive Bias Mitigation in Information Visualization \u00a0\u21d2<\/a><\/td>\nPaul Parsons, Purdue University<\/td>\n<\/tr>\n
\u00a0\"\"<\/a>\"\"<\/a><\/td>\nThe Biases of Thinking Fast and Thinking Slow \u00a0\u21d2<\/a><\/td>\nDirk Streeb, University of Konstanz<\/td>\n<\/tr>\n
\u00a0\"\"<\/a>\"\"<\/a><\/td>\nCognitive Biases in Visual Analytics – A Critical Reflection \u00a0\u21d2<\/a><\/td>\nMargit Pohl, University of Vienna<\/td>\n<\/tr>\n
\"\"<\/a>\"\"<\/a><\/td>\nDesigning Breadth-Oriented Data Exploration for Mitigating Cognitive Biases \u00a0\u21d2<\/a><\/td>\nTerrance Law, Georgia Tech<\/td>\n<\/tr>\n
\u00a0\"\"<\/a>\"\"<\/a><\/td>\nHolistic Reviews in Admissions: Reviewer Biases and Visualization Strategies to Mitigate Them \u00a0\u21d2<\/a><\/td>\nPoorna Talkad Sukumar, University of Notre Dame, Indiana<\/td>\n<\/tr>\n
\u00a0\"\"<\/a>\"\"<\/a><\/td>\nBlack Hat Visualization \u00a0\u21d2<\/a><\/td>\nMichael Correll, University of Washington<\/td>\n<\/tr>\n
\"\"<\/a>\"\"<\/a><\/td>\nRound Up<\/td>\nAlex Endert<\/td>\n<\/tr>\n
12.10<\/td>\nLunch<\/td>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

Afternoon session (2.00 – 5.00)<\/h3>\n

Room 103 – A\u00a0 \u00a0<\/span><\/p>\n

See what the groups got up to in this interesting afternoon session<\/a><\/p>\n

ORGANISERS<\/strong>
\nGeoffrey Ellis, Data Analysis and Visualisation\u00a0group, University of Konstanz, Germany
\nEvanthia Dimara,\u00a0AVIZ team, INRIA, France
\nDonald Kretz,\u00a0Applied Research Associates, USA
\nAlex Endert,\u00a0Visual Analytics Lab, Georgia Tech, USA<\/p>\n

ACKNOWLEDGEMENT<\/strong>
\nThis workshop is supported by the EU project Visual Analytics for Sense-making in Criminal Intelligence Analysis (VALCRI) under grant number FP7-SEC-2013-608142.<\/p>\n

\n

– Impressum, Contact and Legal Notice<\/a><\/span>
\n– Privacy Policy<\/a><\/span><\/p>\n","protected":false},"excerpt":{"rendered":"

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