SnapChart: an Augmented Reality Analytics Toolkit to Enhance Interactivity in a Collaborative Environment

Jing, Allison; Xiang, Chenyang; Kim, Seungwon; Billinghurst, Mark; Quigley, Aaron

doi:10.1145/3359997.3365725

Cited by 11 publications

(12 citation statements)

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“…Visual cues may be aligned less accurately when viewing from a single perspective that warps spatial characteristics (Pan and Steed, 2016) (Kim et al, 2020b). Moreover, spatial elements can provide depth cues in the shared task space, enabling collaborators to gain a better understanding of the same visualised information from different perspectives (Jing et al, 2019) and improving communication.…”

Section: Visualised Gaze Cues Vs Other Communication Cues In Co-located Collaborationmentioning

confidence: 99%

Eye See What You See: Exploring How Bi-Directional Augmented Reality Gaze Visualisation Influences Co-Located Symmetric Collaboration

Jing

May

Lee

et al. 2021

Front. Virtual Real.

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Gaze is one of the predominant communication cues and can provide valuable implicit information such as intention or focus when performing collaborative tasks. However, little research has been done on how virtual gaze cues combining spatial and temporal characteristics impact real-life physical tasks during face to face collaboration. In this study, we explore the effect of showing joint gaze interaction in an Augmented Reality (AR) interface by evaluating three bi-directional collaborative (BDC) gaze visualisations with three levels of gaze behaviours. Using three independent tasks, we found that all bi-directional collaborative BDC visualisations are rated significantly better at representing joint attention and user intention compared to a non-collaborative (NC) condition, and hence are considered more engaging. The Laser Eye condition, spatially embodied with gaze direction, is perceived significantly more effective as it encourages mutual gaze awareness with a relatively low mental effort in a less constrained workspace. In addition, by offering additional virtual representation that compensates for verbal descriptions and hand pointing, BDC gaze visualisations can encourage more conscious use of gaze cues coupled with deictic references during co-located symmetric collaboration. We provide a summary of the lessons learned, limitations of the study, and directions for future research.

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Section: Visualised Gaze Cues Vs Other Communication Cues In Co-located Collaborationmentioning

confidence: 99%

Eye See What You See: Exploring How Bi-Directional Augmented Reality Gaze Visualisation Influences Co-Located Symmetric Collaboration

Jing

May

Lee

et al. 2021

Front. Virtual Real.

Self Cite

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“…Accurate and expressive data presentation. Concise and declarative visualization grammars, such as color palette, depth cues, shapes, symbols, and graphs, should be fundamental (Butcher et al, 2019;Filho et al, 2018;Jing et al, 2019;Liu et al, 2020). For example, immersive scatter plots should be applied to show data clusters and relationships, and immersive node-link visualizations should be applied to reduce edge-crossing and linkoverlap (Tadeja et al, 2019;Yim et al, 2018).…”

Section: Design Criteria and Methodsmentioning

confidence: 99%

“…Direct interaction refers to intuitive, natural, and proprioceptive user interaction. The best construct should be arm-reach data rendering, egocentric navigation, free exploration, natural mid-air gesture-based manipulation, and unrestricted physical-digital environment (Cavallo et al, 2019;Filho et al, 2018;Jing et al, 2019;Lugmayr et al, 2019;Nguyen et al, 2019;Quach & Jenny, 2020). In detail, all visual elements should be arranged within a compact half-circle layout to reduce unnecessary walking and head-turning in a large-size virtual space (Butcher & Ritsos, 2017;Cavallo et al, 2019;.…”

Section: Design Criteria and Methodsmentioning

confidence: 99%

“…Supported data should be complex, large-scale, multidimensional, real-time, and dynamic, such as biomedical and other scientific abstract data, aircraft trajectory data, sports data, financial market data, and social media sentiment data (Butcher et al, 2019;Cordeil et al, , 2019Jing et al, 2019;Lee et al, 2019;Liu et al, 2020;Neto et al, 2015;Sicat et al, 2019;Tadeja et al, 2019).…”

Section: Design To Support What Functionsmentioning

confidence: 99%

“…Supported workspace. Overall, there are five sizes for immersive workspaces: room-sized VR/AR, desktop-sized VR/AR, mobile VR/AR, web VR/AR, and MR. All these workspaces should be applicable for collaborative data analysis (Butcher & Ritsos, 2017;Cordeil et al, 2019;Donalek et al, 2014;Filho et al, 2018;Jing et al, 2019;Lee et al, 2019;Nguyen et al, 2019;Shaikh et al, 2019;Sicat et al, 2019;Yim et al, 2018).…”

Section: Design To Support What Functionsmentioning

confidence: 99%

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Design Guidelines for Immersive Dashboards

Millet

2021

Proceedings of the Human Factors and Ergonomics Society Annual

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Immersive dashboards facilitate the presentation of large-scale complex data while offering natural interaction and real-time interactivity supporting immediate use. Few studies, however, have investigated the use of immersive dashboards to improve the visualization and analysis of abstract data. This study provides a systematic review of the literature on designing immersive dashboards for abstract data visualization and analytics. Twenty publications met the inclusion criteria. This review identifies guidelines for improving immersive dashboard design.

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Interdisciplinary Collaboration in Augmented Reality Development - A Process Model

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SnapChart: an Augmented Reality Analytics Toolkit to Enhance Interactivity in a Collaborative Environment

Cited by 11 publications

References 1 publication

Eye See What You See: Exploring How Bi-Directional Augmented Reality Gaze Visualisation Influences Co-Located Symmetric Collaboration

Eye See What You See: Exploring How Bi-Directional Augmented Reality Gaze Visualisation Influences Co-Located Symmetric Collaboration

Design Guidelines for Immersive Dashboards

Interdisciplinary Collaboration in Augmented Reality Development - A Process Model

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