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DECISIVe 2014 : 1st Workshop on Dealing with Cognitive Biases in Visualisations

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2014

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Zusammenfassung

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. This workshop brings together cognitive researchers and visualisation developers 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.

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004 Informatik

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Cognitive bias, Visual analytics, Information Visualisation, Decision making

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IEEE VIS 2014, 9. Nov. 2014 - 14. Nov. 2014, Paris, France
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ISO 690ELLIS, Geoffrey, ed., 2014. DECISIVe 2014 : 1st Workshop on Dealing with Cognitive Biases in Visualisations. IEEE VIS 2014. Paris, France, 9. Nov. 2014 - 14. Nov. 2014
BibTex
@proceedings{Ellis2014DECIS-42490,
  year={2014},
  series={DECISIVe : Workshop on Dealing with Cognitive Biases in Visualisations},
  title={DECISIVe 2014 : 1st Workshop on Dealing with Cognitive Biases in Visualisations},
  url={https://kops.uni-konstanz.de/browse?authority=uniknseries44&type=konstanzseries},
  editor={Ellis, Geoffrey}
}
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    <dcterms:abstract xml:lang="eng">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.  This  workshop  brings  together cognitive  researchers  and  visualisation  developers  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.</dcterms:abstract>
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2019-03-27

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