Co-Located Collaborative Visual Analytics around a Tabletop Display

Isenberg, Petra; Fisher, Danyel; Paul, Sharoda A.; Morris, Meredith Ringel; Inkpen, Kori; Czerwinski, Mary

doi:10.1109/tvcg.2011.287

Cited by 128 publications

(117 citation statements)

References 24 publications

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“…Like Isenberg et al, we chose a group size of two, because in their study two group members working on VAST 2006 were already sufficient to identify differences in coupling styles and collaboration strategies [6].…”

Section: Methodsmentioning

confidence: 99%

“…We hereby contribute a better understanding of the nuances of the role of the tabletop during collaborative sensemaking. [6]. Jakobsen and Hornbaek used VAST data on high-resolution wall displays to study co-located collaboration [8].…”

Section: Tablets and Tabletopsmentioning

confidence: 99%

“…To provide a documented, authentic, and sufficiently demanding collaborative sensemaking task, we used the "Stegosaurus" data from the VAST 2006 Challenge [16] that was already used by [1,4,6,8]. VAST 2006 describes a fictional story with 238 news articles, images, and data sheets.…”

Section: Taskmentioning

confidence: 99%

“…Tabletops can greatly benefit collaborative activities such as visual analytics, search, and sensemaking [6,9,13], mainly because of enabling natural face-to-face communication around a shared workspace [7], providing a high level of awareness and fluid interaction [5,19], and supporting natural territoriality during collaboration [21]. However, a large tabletop is also costly and difficult to maintain compared to other common off-the-shelf devices such as tablets.…”

Section: Introductionmentioning

confidence: 99%

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When Tablets meet Tabletops

Zagermann

Pfeil

Rädle

et al. 2016

Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems

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Cross-device collaboration with tablets is an increasingly popular topic in HCI. Previous work has shown that tabletonly collaboration can be improved by an additional shared workspace on an interactive tabletop. However, large tabletops are costly and need space, raising the question to what extent the physical size of shared horizontal surfaces really pays off. In order to analyse the suitability of smaller-thantabletop devices (e.g. tablets) as a low-cost alternative, we studied the effect of the size of a shared horizontal interactive workspace on users' attention, awareness, and efficiency during cross-device collaboration. In our study, 15 groups of two users executed a sensemaking task with two personal tablets (9.7 ) and a horizontal shared display of varying sizes (10.6 , 27 , and 55 ). Our findings show that different sizes lead to differences in participants' interaction with the tabletop and in the groups' communication styles. To our own surprise we found that larger tabletops do not necessarily improve collaboration or sensemaking results, because they can divert users' attention away from their collaborators and towards the shared display.

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Section: Methodsmentioning

confidence: 99%

Section: Tablets and Tabletopsmentioning

confidence: 99%

Section: Taskmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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When Tablets meet Tabletops

Zagermann

Pfeil

Rädle

et al. 2016

Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems

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“…In recent years, various visualization systems have been proposed to support synchronous co-located collaboration [12], with some empirical evidence that confirms their effectiveness in visual analytics [13]. These systems either rely on the use of a single large display (e.g.…”

Section: Collaborative Co-located Visualizationsmentioning

confidence: 99%

nu-view

Masoodian

Luz

Kavenga

2016

Proceedings of the Australasian Computer Science Week Multiconference

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In general, many factors contribute to the spread of diseases among populations over large geographical areas. In practice, analysis of these factors typically requires expertise of multidisciplinary teams. In this paper, we present a visualization system which aims to support the visual analytics process involving multidisciplinary teams of analysts in colocated collaborative settings. The current prototype system allows coupled and decoupled modes of interaction, using a combination of personal visualizations on private small displays and group visualizations on a shared large display. We have conducted preliminary fieldwork and a review study of this prototype with a group of medical experts who have provided feedback on the current system and suggestions for other usage scenarios, as well as further improvements. We found that our target user group have a generally positive attitude towards the use of a shared display with support for the suggested interaction modes, even though these modes are substantially different from the way their groups currently conduct synchronous collaboration, and that additional support for sharing image and textual data over the geospatial data layer may be required.

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Coordinating User Selections in Collaborative Smart-Phone Large-Display Multi-device Environments

Craig

Liu

2018

Lecture Notes in Computer Science

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Co-Located Collaborative Visual Analytics around a Tabletop Display

Cited by 128 publications

References 24 publications

When Tablets meet Tabletops

When Tablets meet Tabletops

nu-view

Coordinating User Selections in Collaborative Smart-Phone Large-Display Multi-device Environments

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