Immersive Analytics Lessons From the Electronic Visualization Laboratory: A 25-Year Perspective

Marai, G. Elisabeta; Leigh, Jason; Johnson, Andrew

doi:10.1109/mcg.2019.2901428

Cited by 26 publications

(7 citation statements)

References 12 publications

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“…In support of local collaboration, CAVE developers have noted that their design has shifted from being a system within the room to being the entire room. Their goal is a war room [88] to support co-located collaboration [128], but they must fall back on other formats (such as video conferencing) to support distance collaborators. In this scenario, participants are capable of hosting a traditional meeting and taking advantage of immersive features on demand.…”

Section: C13: Integrating Current Collaboration Practicementioning

confidence: 99%

Grand Challenges in Immersive Analytics

Ens

Bach

Cordeil

et al. 2021

Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems

136

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Immersive Analytics is a quickly evolving field that unites several areas such as visualisation, immersive environments, and humancomputer interaction to support human data analysis with emerging technologies. This research has thrived over the past years with Publication rights licensed to ACM. ACM acknowledges that this contribution was authored or co-authored by an employee, contractor or affiliate of a national government. As such, the Government retains a nonexclusive, royalty-free right to publish or reproduce this article, or to allow others to do so, for Government purposes only.

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Section: C13: Integrating Current Collaboration Practicementioning

confidence: 99%

Grand Challenges in Immersive Analytics

Ens

Bach

Cordeil

et al. 2021

Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems

136

View full text Add to dashboard Cite

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“…The authors have found that device-based interactions are ideal for larger, room-based collaborative installations because they provide precise navigation and high fidelity data streams even in groups of people, and they are less susceptible to some of the current technological hurdles of 3D sensors like limited tracking areas, occlusion and consistent user identification (though the technology is rapidly evolving and the new Microsoft Kinect Azure seems to have potentially solved several of these issues). Work at the EVL, "further points to the benefits of embodied navigation in the context of large spatial datasets" (Marai [11]). The ultrasonic wand (via a grid of ultrasonic emitters in the ceiling, and an array of microphones in the wand) provides a continuous stream of data at 60-70 frames per second that includes the wand position, orientation, and button states.…”

Section: Gesture and Visualizationmentioning

confidence: 99%

Exploring 4D Image Sets of Early Heart Development Using Gesture and an Immersive, Spatial Operating Environment

Carpenter

Lansford

2022

Leonardo

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Scientists today can collect more data than they can perceive using traditional visualization methods. New technologies and sensors allow researchers to gather dynamic, complex multi-dimensional data sets---all of which must be carefully studied to reveal their hidden patterns and narratives. The authors have utilized an immersive platform to design a new visualization for real-time, intuitive, spatial manipulations of time-based volumetric data sets via a wand-based gestural interface. The resulting work resolves microscopic tissue structures at a human scale in a room-based pixel space, facilitating research, discovery, and in-person teaching and collaboration.

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“…Another way to immerse the user into data is to utilize a wall-sized high-resolution display. Due to inherent characteristics—namely large display real estate and the vast amount of pixels - large, high-resolution displays can cover the entire field of view of the user and provide the ability to scrutinize details within context (Marai et al, 2019 ). Thus, such displays are highly suitable for immersive analytics.…”

Section: Introductionmentioning

confidence: 99%

“…Marai et al mentioned the following advantages of large, high-resolution displays in the sensemaking context: large display size and pixel density to show multiple representations simultaneously; ability to show context plus detail; enough space for group work (Marai et al, 2019 ). Systems using large, high-resolution displays often implement a whiteboard or tabletop metaphor with novel interaction techniques and devices to resemble well-known collaboration principles used in real-life communication (Guimbretière et al, 2001 ; Scott et al, 2003 , 2004 ).…”

Section: Introductionmentioning

confidence: 99%

“…Moreover, researchers demonstrated the effectiveness of collaborative sensemaking in the context of real-world examples. For instance, exploration of ice-covered Lake Bonney (Marai et al, 2019 ), analysis of large-scale cosmological simulation data (Hanula et al, 2019 ), intelligence analysis (Vogt et al, 2011 ). To unfold the potential of large, high-resolution displays in the context of co-located collaborative sensemaking, we must provide appropriate user interfaces.…”

Section: Introductionmentioning

confidence: 99%

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Task Dependent Group Coupling and Territorial Behavior on Large Tiled Displays

et al. 2019

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Large display environments are highly suitable for immersive analytics. They provide enough space for effective co-located collaboration and allow users to immerse themselves in the data. To provide the best setting-in terms of visualization and interaction-for the collaborative analysis of a real-world task, we have to understand the group dynamics during the work on large displays. Among other things, we have to study, what effects different task conditions will have on user behavior. In this paper, we investigated the effects of task conditions on group behavior regarding collaborative coupling and territoriality during co-located collaboration on a wall-sized display. For that, we designed two tasks: a task that resembles the information foraging loop and a task that resembles the connecting facts activity. Both tasks represent essential sub-processes of the sensemaking process in visual analytics and cause distinct space/display usage conditions. The information foraging activity requires the user to work with individual data elements to look into details. Here, the users predominantly occupy only a small portion of the display. In contrast, the connecting facts activity requires the user to work with the entire information space. Therefore, the user has to overview the entire display. We observed 12 groups for an average of 2 h each and gathered qualitative data and quantitative data in the form of surveys, field notes, video recordings, tracking data, and system logs. During data analysis, we focused specifically on participants' collaborative coupling (in particular, collaboration tightness, coupling styles, user roles, and task subdivision strategies) and territorial behavior. Our results both confirm and extend findings from the previous tabletop and wall-sized display studies. We could detect that participants tended to subdivide the task to approach it, in their opinion, in a more effective way, in parallel. We describe the subdivision strategies for both task conditions. We also detected and described multiple user roles, as well as a new coupling style that does not fit in either category: loosely or tightly. Moreover, we could observe a territory type that has not been mentioned previously in research. In our opinion, this territory type can affect the collaboration process of groups with more than two collaborators negatively. Finally, we investigated critical display regions in terms of ergonomics. We could detect that users perceived some regions as less comfortable for long-time work. The findings can be valuable for groupware interface design and development of group behavior models for analytical reasoning and decision making.

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Immersive Analytics Lessons From the Electronic Visualization Laboratory: A 25-Year Perspective

Cited by 26 publications

References 12 publications

Grand Challenges in Immersive Analytics

Grand Challenges in Immersive Analytics

Exploring 4D Image Sets of Early Heart Development Using Gesture and an Immersive, Spatial Operating Environment

Task Dependent Group Coupling and Territorial Behavior on Large Tiled Displays

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