Publikation: Accounting for Availability Biases in Information Visualization
Lade...
Dateien
Datum
2014
Autor:innen
Herausgeber:innen
ISSN der Zeitschrift
Electronic ISSN
ISBN
Bibliografische Daten
Verlag
Auflagebezeichnung
URI (zitierfähiger Link)
Internationale Patentnummer
Link zur Lizenz
Angaben zur Forschungsförderung
Projekt
Open Access-Veröffentlichung
Open Access Green
Core Facility der Universität Konstanz
Titel in einer weiteren Sprache
Publikationstyp
Beitrag zu einem Konferenzband
Publikationsstatus
Published
Erschienen in
ELLIS, Geoffrey, ed.. DECISIVe : Workshop on Dealing with Cognitive Biases in Visualisations. 2014
Zusammenfassung
The availability heuristic is a strategy that people use to make quick decisions but often lead to systematic errors. We propose three ways that visualization could facilitate unbiased decision- making. First, visualizations can alter the way our memory stores the events for later recall, so as to improve users' long-term intuitions. Second, the known biases could lead to new visualization guidelines. Third, we suggest the design of decision- making tools that are inspired by heuristics, e.g. suggesting intuitive approximations, rather than target to present exhaustive comparisons of all possible outcomes, or automated solutions for choosing decisions.
Zusammenfassung in einer weiteren Sprache
Fachgebiet (DDC)
004 Informatik
Schlagwörter
Availability Heuristic, Cognitive Bias, Visualizations, Decision-Making,
Konferenz
IEEE VIS 2014, 9. Nov. 2014 - 14. Nov. 2014, Paris, France
Rezension
undefined / . - undefined, undefined
Zitieren
ISO 690
DIMARA, Evanthia, Pierre DRAGICEVIC, Anastasia BEZERIANOS, 2014. Accounting for Availability Biases in Information Visualization. IEEE VIS 2014. Paris, France, 9. Nov. 2014 - 14. Nov. 2014. In: ELLIS, Geoffrey, ed.. DECISIVe : Workshop on Dealing with Cognitive Biases in Visualisations. 2014BibTex
@inproceedings{Dimara2014Accou-33706,
year={2014},
title={Accounting for Availability Biases in Information Visualization},
booktitle={DECISIVe : Workshop on Dealing with Cognitive Biases in Visualisations},
editor={Ellis, Geoffrey},
author={Dimara, Evanthia and Dragicevic, Pierre and Bezerianos, Anastasia}
}RDF
<rdf:RDF
xmlns:dcterms="http://purl.org/dc/terms/"
xmlns:dc="http://purl.org/dc/elements/1.1/"
xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#"
xmlns:bibo="http://purl.org/ontology/bibo/"
xmlns:dspace="http://digital-repositories.org/ontologies/dspace/0.1.0#"
xmlns:foaf="http://xmlns.com/foaf/0.1/"
xmlns:void="http://rdfs.org/ns/void#"
xmlns:xsd="http://www.w3.org/2001/XMLSchema#" >
<rdf:Description rdf:about="https://kops.uni-konstanz.de/server/rdf/resource/123456789/33706">
<dcterms:hasPart rdf:resource="https://kops.uni-konstanz.de/bitstream/123456789/33706/3/Dimara_0-329436.pdf"/>
<dc:date rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2016-04-27T08:20:51Z</dc:date>
<void:sparqlEndpoint rdf:resource="http://localhost/fuseki/dspace/sparql"/>
<dc:contributor>Dimara, Evanthia</dc:contributor>
<bibo:uri rdf:resource="https://kops.uni-konstanz.de/handle/123456789/33706"/>
<dcterms:title>Accounting for Availability Biases in Information Visualization</dcterms:title>
<dc:rights>terms-of-use</dc:rights>
<dspace:isPartOfCollection rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/36"/>
<dcterms:available rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2016-04-27T08:20:51Z</dcterms:available>
<dc:creator>Bezerianos, Anastasia</dc:creator>
<dc:contributor>Dragicevic, Pierre</dc:contributor>
<foaf:homepage rdf:resource="http://localhost:8080/"/>
<dc:language>eng</dc:language>
<dcterms:rights rdf:resource="https://rightsstatements.org/page/InC/1.0/"/>
<dc:creator>Dragicevic, Pierre</dc:creator>
<dspace:hasBitstream rdf:resource="https://kops.uni-konstanz.de/bitstream/123456789/33706/3/Dimara_0-329436.pdf"/>
<dcterms:issued>2014</dcterms:issued>
<dc:contributor>Bezerianos, Anastasia</dc:contributor>
<dcterms:abstract xml:lang="eng">The availability heuristic is a strategy that people use to make quick decisions but often lead to systematic errors. We propose three ways that visualization could facilitate unbiased decision- making. First, visualizations can alter the way our memory stores the events for later recall, so as to improve users' long-term intuitions. Second, the known biases could lead to new visualization guidelines. Third, we suggest the design of decision- making tools that are inspired by heuristics, e.g. suggesting intuitive approximations, rather than target to present exhaustive comparisons of all possible outcomes, or automated solutions for choosing decisions.</dcterms:abstract>
<dc:creator>Dimara, Evanthia</dc:creator>
<dcterms:isPartOf rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/36"/>
</rdf:Description>
</rdf:RDF>
