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Effects of Visualizing Missing Data: An Empirical Evaluation
University of Skövde, School of Informatics. (Interaction Lab)ORCID iD: 0000-0003-0159-9628
University of Skövde, School of Informatics. (Skövde Artificial Intelligence Lab (SAIL))ORCID iD: 0000-0003-2900-9335
2014 (English)In: 18th International Conference on Information Visualisation (IV) / [ed] Ebad Banissi, Mark W. McK. Bannatyne, Francis T. Marchese, Muhammad Sarfraz, Anna Ursyn, Gilles Venturini, Theodor G. Wyeld, Urska Cvek, Marjan Trutschl, Georges Grinstein, Vladimir Geroimenko, Sarah Kenderdine & Fatma Bouali, 2014, 132-138 p.Conference paper, Published paper (Refereed)
Abstract [en]

This paper presents an empirical study that evaluates the effects of visualizing missing data on decision-making tasks. A comparison between three visualization techniques: (1) emptiness, (2) fuzziness, and (3) emptiness plus explanation, revealed that the latter technique induced significantly higher degree of decision-confidence than the visualization technique fuzziness. Moreover, emptiness plus explanation yield the highest number of risky choices of the three. This result suggests that uncertainty visualization techniques affect the decision-maker and the decision-confidence. Additionally, the results indicate a possible relation between the degree of decision-confidence and the decision-maker's displayed risk behavior.

Place, publisher, year, edition, pages
2014. 132-138 p.
National Category
Other Computer and Information Science
Research subject
Human-Computer Interaction
Identifiers
URN: urn:nbn:se:uu:diva-333600DOI: 10.1109/IV.2014.77Scopus ID: 2-s2.0-84912130175ISBN: 978-1-4799-4103-2 OAI: oai:DiVA.org:uu-333600DiVA: diva2:1157251
Conference
18th International Conference on Information Visualisation: Visualisation, BioMedical Visualization, Visualisation on Built and Rural Environments and Geometric Modelling and Imaging, IV 2014, Paris, France, 16 July 2014 through 18 July 2014
Available from: 2017-11-15 Created: 2017-11-15 Last updated: 2017-11-15

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