Visual analytics on large displays: Exploring user spatialization and how size and resolution affect task performance

Author: 
Date created: 
2018-03-28
Identifier: 
etd10647
Keywords: 
Visual Analytics
Large High-Resolution Displays
Sense-making
Spatialization
Clustering
Visualization
Abstract: 

Large, high-resolution displays (LHRDs) enable increased productivity over conventional monitors. Previous work has identified the benefits of LHRDs for Visual Analytics tasks, where the user is analyzing complex data sets. However, LHRDs are fundamentally different environments, presenting both usability challenges and opportunities, and need to be better understood. There is thus a need for additional studies to analyze the impact of LHRD size and display resolution on content spatialization strategies and Visual Analytics task performance. I present the results of two studies of the effects of physical display size and resolution on analytical task successes and also analyze how participants spatially cluster visual content in different experimental conditions.

Document type: 
Thesis
Rights: 
This thesis may be printed or downloaded for non-commercial research and scholarly purposes. Copyright remains with the author.
File(s): 
Senior supervisor: 
Wolfgang Stuerzlinger
Department: 
Communication, Art & Technology: School of Interactive Arts and Technology
Thesis type: 
(Thesis) M.Sc.
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