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  1. Proceedings of the 2008 Workshop on BEyond time and errors (BELIV '08)
  2. Internalization, qualitative methods, and evaluation
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Productivity as a metric for visual analytics: reflections on e-discovery
Internalization, qualitative methods, and evaluation
Creating realistic, scenario-based synthetic data for test and evaluation of information analytics software
Increasing the utility of quantitative empirical studies for meta-analysis
Grounded evaluation of information visualizations
Using multi-dimensional in-depth long-term case studies for information visualization evaluation
Beyond time and error: a cognitive approach to the evaluation of graph drawings
Qualitative analysis of visualization: a building design field study
The long-term evaluation of Fisherman in a partial-attention environment
Understanding and characterizing insights: how do people gain insights using information visualization?

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Internalization, qualitative methods, and evaluation

Content Provider ACM Digital Library
Author Blandford, Ann Cairns, Paul Craft, Brock Faisal, Sarah
Abstract Information Visualization (InfoVis) is at least in part defined by a process that occurs within the subjective internal experience of the users of visualization tools. Hence, users' interaction with these tools is seen as an 'experience'. Relying on standard quantitative usability measures evaluates the interface. Yet, there is more to users' interaction with InfoVis tools than merely the interface. Qualitative methods targets users' subjective experiences. In this paper we demonstrate the potential benefits of qualitative methods, more specifically Grounded Theory, for generating a theoretical understanding of users' InfoVis experiences through discussing the results of a qualitative study we conducted. The study was conducted in order to evaluate a visualization of the academic literature domain, which we have designed and built using a user-centered design approach. The study resulted in us identifying categories that are essential to the InfoVis experience. This paper argues that these categories can be used as a foundation for building an InfoVis theory of interaction.
Starting Page 1
Ending Page 8
Page Count 8
File Format PDF
ISBN 9781605580166
DOI 10.1145/1377966.1377973
Language English
Publisher Association for Computing Machinery (ACM)
Publisher Date 2008-04-05
Publisher Place New York
Access Restriction Subscribed
Subject Keyword Evaluation Information visualization Qualitative methods Usability
Content Type Text
Resource Type Article
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