Exploring the cognitive costs and benefits of using multiple-view visualisations

Jun, Esther; Landry, Steven J.; Salvendy, Gavriel

doi:10.1080/0144929x.2011.630420

Cited by 5 publications

(4 citation statements)

References 10 publications

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“…Plumlee and Ware Plumlee and Ware (2006) also examined the performance of CMVs compared to a zooming technique, and concluded that additional views are more effective if the data are complex and require more storage space than the capacity of a human's working memory. Jun et al Jun et al (2013) conducted an experiment that allowed participants to use four sequential or simultaneous views for either monitoring or comparing tasks. They found simultaneous multiple views to be more effective than sequential multiple views in terms of both completion time and accuracy, though these studies restricted the total number of views to five in total.…”

Section: Related Workmentioning

confidence: 99%

“…Previous studies have shown the advantages and disadvantages of using CMVs for data analyses. Several researchers have discussed the effects of using CMVs on users' cognitive loads Plumlee and Ware (2006); Ryu et al (2003); Convertino et al (2003); Jun et al (2013). Plumlee and Ware report that using CMVs increases efficiency during a comparison task Plumlee and Ware (2006).…”

Section: Introductionmentioning

confidence: 99%

“…Plumlee and Ware report that using CMVs increases efficiency during a comparison task Plumlee and Ware (2006). On the other hand, convertino et al Convertino et al (2003) and Jun et al Jun et al (2013) find that users could encounter context-switching and cognitive costs while using CMVs. Due to the mixed results, several researchers have attempted to provide practical advice related to view coordination models Boukhelifa et al (2003), highlighting strategies Griffin and Robinson (2015), and design guidelines Wang Baldonado et al (2000) for CMVs.…”

Section: Introductionmentioning

confidence: 99%

“…Thus, it is not clear if visual anlaysis performance (i.e., analysis speed and result accuracy) is related to the view number, when many views are available for users. Few studies concern the effects of the number of views during visual anlaysis Jun et al (2013); Convertino et al (2003); Ryu et al (2003), but they use a fixed number of views (up to four views) in their experiments. We think it is still difficult to determine whether it is actually more or less effective to generate as many views as possible.…”

Section: Introductionmentioning

confidence: 99%

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An Empirical Study on the Relationship Between the Number of Coordinated Views and Visual Analysis

Oh¹,

Lee²,

Kim³

et al. 2022

Preprint

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Coordinated Multiple views (CMVs) are a visualization technique that simultaneously presents multiple visualizations in separate but linked views. There are many studies that report the advantages (e.g., usefulness for finding hidden relationships) and disadvantages (e.g., cognitive load) of CMVs. But little empirical work exists on the impact of the number of views on visual anlaysis results and processes, which results in uncertainty in the relationship between the view number and visual anlaysis. In this work, we aim at investigating the relationship between the number of coordinated views and users' analytic processes and results. To achieve the goal, we implemented a CMV tool for visual anlaysis. We also provided visualization duplication in the tool to help users easily create a desired number of visualization views on-the-fly. We conducted a between-subject study with 44 participants, where we asked participants to solve five analytic problems using the visual tool. Through quantitative and qualitative analysis, we discovered the positive correlation between the number of views and analytic results. We also found that visualization duplication encourages users to create more views and to take various analysis strategies. Based on the results, we provide implications and limitations of our study.

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Section: Related Workmentioning

confidence: 99%