Embodied gesture interaction for immersive maps

Newbury, Rhys; Satriadi, Kadek Ananta; Bolton, Jesse; Liu, Jiazhou; Cordeil, Maxime; Prouzeau, Arnaud; Jenny, Bernhard

doi:10.1080/15230406.2021.1929492

Cited by 29 publications

(10 citation statements)

References 59 publications

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“…From our iterative gesture refinement in VR, we draw insights beyond prior research [4,[9][10][11][12]: (1) Natural finger movements yield superior results compared to unnatural counterparts. The "scissor" gesture garnered negative feedback due to reported fatigue and discomfort, whereas gestures like "crumpling" and "flicking" received no such complaints, as their finger movements felt more natural;…”

Section: Observations and Discussionmentioning

confidence: 99%

Putting Our Minds Together: Iterative Exploration for Collaborative Mind Mapping

Yang,

Dwyer,

Swiecki

et al. 2024

Proceedings of the Augmented Humans International Conference 2024

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Figure 1: The final VR system (left) and desktop interface (right) that we developed after four iterations. (a) Notes with pins, and links with labels attached to the notes. (b) A 3D minimap is shown above the left palm in VR (the clipboard on the inner side of the palm is hidden to save room), with avatar, notes and links coloured the same as the role colour. (c) The gamification board in VR is attached to the body at waist height. (d) The embodied badge is on the back of the hand. (e) Buttons are shown for a note while selected. (f) Clipboard on the desktop interface. (g) Minimap on the desktop interface, with a coloured square showing the current field of view. (h) Gamification board on the desktop interface.

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Section: Observations and Discussionmentioning

confidence: 99%

Putting Our Minds Together: Iterative Exploration for Collaborative Mind Mapping

Yang,

Dwyer,

Swiecki

et al. 2024

Proceedings of the Augmented Humans International Conference 2024

Self Cite

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“…Research has demonstrated the role of immersion for data analysis and sensemaking, such as the possibility of unlimited screen space [4,32,46,61], effects on spatial memory [58], 3D spatial interaction [10,53,62], collaboration [45,65,67], engagement [9,19,20,49,54], and entertainment [9,78]. Immersive analytics scenarios can be implemented in a variety of contexts, ranging from handheld mobile devices providing e.g., see-through augmented reality, to head-worn devices or caves [7,10].…”

Section: Immersive Analytics and Embodied Interactionmentioning

confidence: 99%

Working with Forensic Practitioners to Understand the Opportunities and Challenges for Mixed-Reality Digital Autopsy

Pooryousef

Cordeil

Besançon

et al. 2023

Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems

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Forensic practitioners analyse intrinsic 3D data daily on 2D screens. We explore novel immersive visualisation techniques that enable digital autopsy through analysis of 3D imagery. We employ a usercentred design process involving four rounds of user feedback: (1) formative interviews eliciting opportunities and requirements for mixed-reality digital autopsies; (2) a larger workshop identifying our prototype's limitations and further use-cases and interaction ideas; (3+4) two rounds of qualitative user validation of successive prototypes of novel interaction techniques for pathologist sensemaking. Overall, we find MR holds great potential to enable digital autopsy, initially to supplement physical autopsy, but ultimately to replace it. We found that experts were able to use our tool to perform basic virtual autopsy tasks, MR setup promotes exploration and sense making of cause of death, and subject to limitations of current MR technology, the proposed system is a valid option for digital autopsies, according to experts' feedback.-Warning: This paper contains sensitive images which are 3D visualisation of deceased people. CCS CONCEPTS• Human-centered computing → Interaction techniques; Empirical studies in HCI; Visualization application domains.

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“…We aim to increase our understanding of the benefts of Immersive Analytics applications, for instance A) using space around the user to support visual analytics; B) spatial layouts of immersive small multiples; C) using tangible interfaces to support collaborative embodied interaction; or D) using hands to enhance comprehension of data physicalisations. 14,19,24], spatial memory [23], proprioception, 3D spatial interaction [21,25], tangible interaction [7,13,28,29], collaboration [18,26], kinesthesia, engagement [5,6], etc. While evidence of these benefts has been accumulating even prior to the establishment of Immersive Analytics, we have still attained only a basic understanding of the extent to which they can support human sensemaking, and reliance on such assumptions is prevalent in the exploration of applications.…”

Section: Introductionmentioning

confidence: 99%

Immersive Analytics 2.0: Spatial and Embodied Sensemaking

Ens

Cordeil

North

et al. 2022

CHI Conference on Human Factors in Computing Systems Extended Abstracts

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Immersive Analytics is now a fully emerged research topic that spans several research communities, including Human-Computer Interaction, Data Visualisation, Virtual Reality and Augmented Reality. Immersive Analytics research has identifed and validated benefts of using embodied, 3D spatial immersive environments for visualisation and have shown benefts in the efective use of space and 3D interaction to explore complex data. As of today, most studies in Immersive Analytics have focused on exploring novel visualisation techniques in 3D embodied immersive environments. Thus far, there is a lack of fundamental study in this feld that clearly compares immersive versus non immersive platforms for analytics purposes, and frmly delineates the benefts of immersive environments for analytic tasks. We feel that it is time to establish an agenda to assess the benefts and potential of immersive technologies, spatial interfaces, and embodied interaction to support sensemaking, data understanding, and collaborative analytics. This workshop will aim at putting this agenda together, by gathering international experts from Immersive Analytics and related felds to defne which studies need to be conducted to assess the efect of embodied interaction on cognition in data analytics.

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Embodied gesture interaction for immersive maps

Cited by 29 publications

References 59 publications

Putting Our Minds Together: Iterative Exploration for Collaborative Mind Mapping

Putting Our Minds Together: Iterative Exploration for Collaborative Mind Mapping

Working with Forensic Practitioners to Understand the Opportunities and Challenges for Mixed-Reality Digital Autopsy

Immersive Analytics 2.0: Spatial and Embodied Sensemaking

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