SAViL: cross-display visual links for sensemaking in display ecologies

Chung, Haeyong; North, Chris

doi:10.1007/s00779-017-1091-4

Cited by 12 publications

(10 citation statements)

References 38 publications

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“…Chung et al [64] presented a cross-display visual link technique which can allow users to see connections of related information across displays. Their results showed that the visual links of tasks across multiple displays effectively helped users organize and synthesize related information scattered across devices.…”

Section: Shared Vs Non-shared View and Controlmentioning

confidence: 99%

Collaborative behavior, performance and engagement with visual analytics tasks using mobile devices

Chen

et al. 2020

Hum. Cent. Comput. Inf. Sci.

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Interactive visualizations are external tools that can support users’ exploratory activities. Collaboration can bring benefits to the exploration of visual representations or visualizations. This research investigates the use of co-located collaborative visualizations in mobile devices, how users working with two different modes of interaction and view (Shared or Non-Shared) and how being placed at various position arrangements (Corner-to-Corner, Face-to-Face, and Side-by-Side) affect their knowledge acquisition, engagement level, and learning efficiency. A user study is conducted with 60 participants divided into 6 groups (2 modes $$\times$$ × 3 positions) using a tool that we developed to support the exploration of 3D visual structures in a collaborative manner. Our results show that the shared control and view version in the Side-by-Side position is the most favorable and can improve task efficiency. In this paper, we present the results and a set of recommendations that are derived from them.

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Section: Shared Vs Non-shared View and Controlmentioning

confidence: 99%

Collaborative behavior, performance and engagement with visual analytics tasks using mobile devices

Chen

et al. 2020

Hum. Cent. Comput. Inf. Sci.

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“…→Space Window Manager [24] and Layout Manager [357] →World-in-miniature [24,323,358] →RadarMap [2,97], Map [24], MiniMap [16] 2 | Content visualisation and distribution strategies →Multiple coordinated views [48,91,92,120,263,322] →Brush-and-linking, across devices [7,63] →Overview and detail [16,136,287,322] →Central overview device [31] →Focus and Context [98,322] →Adaptive views, applications, adaptive UIs [21,150,373] →Overlaying information [357] →MagicLens views [16,28] →Dynamically corrected perspective views [226] 3 | Feedback and feedforward approaches →Object shadow [22] →Gesture shadows/ghosts [22,188,301] →Temporary preview shadows of content [206] →Perspective cursor [227,349] →Multi-display pointers [163,286]…”

Section: Managing the Applications Information And Spacesmentioning

confidence: 99%

“…→Coloured physical borders, frames or cases around device [116] →Coloured digital borders around screen/display [116,206,271,351,358] →Coloured lines between digital content across devices [63] →Visual proxy icons or portals [24,64,89,97,123,203,357,358] →Proxy icons around devices [143] →Cross-device portals, borders [206] Visualisation and Cross-Device Management Related to the interaction techniques, we identified four major categories of visualisation and feedback that have been used to help users understand how a particular cross-device interaction technique or application works (Table 4).…”

Section: Explicit Linking Between Devicesmentioning

confidence: 99%

“…Second, to increase the overview and understanding of where information and applications are located across devices, a number of content visualisations and distribution approaches have been developed. This category includes realtime coordinated views across devices [91,92,120,263,322], brushing-and-linking between devices [7,63], overview and detail on demand or on other devices [16,31,136,287,322], magic lens views [16,28], or dynamically corrected perspective views [226]. Third, to increase the intelligibility of crossdevice systems, feedback and feedforward mechanisms have been developed.…”

Section: Explicit Linking Between Devicesmentioning

confidence: 99%

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Cross-Device Taxonomy

Brudy

Holz

Rädle

et al. 2019

Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems

165

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Designing interfaces or applications that move beyond the bounds of a single device screen enables new ways to engage with digital content. Research addressing the opportunities and challenges of interactions with multiple devices in concert is of continued focus in HCI research. To inform the future research agenda of this field, we contribute an analysis and taxonomy of a corpus of 510 papers in the crossdevice computing domain. For both new and experienced researchers in the field we provide: an overview, historic trends and unified terminology of cross-device research; discussion of major and under-explored application areas; mapping of enabling technologies; synthesis of key interaction techniques spanning across multiple devices; and review of common evaluation strategies. We close with a discussion of open issues. Our taxonomy aims to create a unified terminology and common understanding for researchers in order to facilitate and stimulate future cross-device research.

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“…Collaborative information linking allows multiple users to organize windows on a large display and have their dedicated sets of visual links. 35 VisPorter 36 combines spatial document arrangement with a collaborative concept map, and Savil 37 draws visual links between entities across multiple displays. In summary, the main feature of most of these environments is to establish visual links between unstructured evidences, 33,35,37 as well as between structured observations and unstructured evidence.…”

Section: Related Workmentioning

confidence: 99%

Linking unstructured evidence to structured observations

Waldner

Geymayer

Schmalstieg

et al. 2021

Information Visualization

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Many professionals, like journalists, writers, or consultants, need to acquire information from various sources, make sense of this unstructured evidence, structure their observations, and finally create and deliver their product, such as a report or a presentation. In formative interviews, we found that tools allowing structuring of observations are often disconnected from the corresponding evidence. Therefore, we designed a sensemaking environment with a flexible observation graph that visually ties together evidence in unstructured documents with the user’s structured knowledge. This is achieved through bi-directional deep links between highlighted document portions and nodes in the observation graph. In a controlled study, we compared users’ sensemaking strategies using either the observation graph or a simple text editor on a large display. Results show that the observation graph represents a holistic, compact representation of users’ observations, which can be linked to unstructured evidence on demand. In contrast, users taking textual notes required much more display space to spatially organize source documents containing unstructured evidence. This implies that spatial organization is a powerful strategy to structure observations even if the available space is limited.

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SAViL: cross-display visual links for sensemaking in display ecologies

Cited by 12 publications

References 38 publications

Collaborative behavior, performance and engagement with visual analytics tasks using mobile devices

Collaborative behavior, performance and engagement with visual analytics tasks using mobile devices

Cross-Device Taxonomy

Linking unstructured evidence to structured observations

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