Augmented Reality Map Navigation with Freehand Gestures

Satriadi, Kadek Ananta; Ens, Barrett; Cordeil, Maxime; Jenny, Bernhard; Czauderna, Tobias; Willett, Wesley

doi:10.1109/vr.2019.8798340

Cited by 56 publications

(37 citation statements)

References 70 publications

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“…In an AR setting, the use of freehand interaction has been proposed [12,73], however, gesture based input is prone to usability issues such as fatigue and discoverability. Therefore, integration of freehand gestures for complex tasks beyond simple navigation tasks [5,65] is worth exploring in the future. For example, how view manipulation (e.g.…”

Section: Discussionmentioning

confidence: 99%

Maps Around Me

Satriadi

Ens

Cordeil

et al. 2020

Proc. ACM Hum.-Comput. Interact.

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Visual exploration of maps often requires a contextual understanding at multiple scales and locations. Multiview map layouts, which present a hierarchy of multiple views to reveal detail at various scales and locations, have been shown to support better performance than traditional single-view exploration on desktop displays. This paper investigates the extension of such layouts of 2D maps into 3D immersive spaces, which are not limited by the real-estate barrier of physical screens and support sensemaking through spatial interaction. Based on our initial implementation of immersive multiview maps, we conduct an exploratory study with 16 participants aimed at understanding how people place and view such maps in immersive space. We observe the layouts produced by users performing map exploration search, comparison and route-planning tasks. Our qualitative analysis identifies patterns in layout geometry (spherical, spherical cap, planar), overview-detail relationship (central window, occluding, coordinated) and interaction strategy. Based on these observations, along with qualitative feedback from a user walkthrough session, we identify implications and recommend features for immersive multiview map systems. Our main findings are that participants tend to prefer and arrange multiview maps in a spherical cap layout around them and that they often rearrange the views during tasks. CCS Concepts: • Human-centered computing → Human computer interaction (HCI).

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Section: Discussionmentioning

confidence: 99%

Maps Around Me

Satriadi

Ens

Cordeil

et al. 2020

Proc. ACM Hum.-Comput. Interact.

Self Cite

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“…Only very recently, several works came in favor of furthering the exploration of freehand gestures in AR and VR contexts [17] , [18] , [19] . Satriadi et al.…”

Section: Related Workmentioning

confidence: 99%

Augmented situated visualization methods towards electromagnetic compatibility testing

Guarese

Andreasson

Nilsson

et al. 2021

Computers & Graphics

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Highlights Development and user assessment of an Augmented Situated Visualization of EMC data. Significant effect of the interaction methods on the time taken for data extraction. Significant effect of the interaction methods used on walking steps. Significant effect of the interaction and visualization methods on task correctness. Results suggest that specific techniques may be used depending on the task requisites.

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“…Remote point selection functionality without breaking the interaction metaphor is a topic for future work. Finally, we could consider alternative mid-air manipulation techniques for map zoom-and-pan to minimize potential arm fatigue during longer use, as discussed by Satriadi et al [48].…”

Section: Findings For the Stc Communitymentioning

confidence: 99%

Evaluating an Immersive Space-Time Cube Geovisualization for Intuitive Trajectory Data Exploration

Filho

Stuerzlinger

Nedel

2020

IEEE Trans. Visual. Comput. Graphics

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Fig. 1. Our immersive space-time cube (STC) aims to lower the known steep learning curve of this three-dimensional spatio-temporal representation. The base map is coupled to a virtual reproduction of the analyst's own real desk and all data manipulations and queries are implemented through intuitive gestures and tangible controls, increasing usability and comfort, while decreasing mental workload.Abstract-A Space-Time Cube enables analysts to clearly observe spatio-temporal features in movement trajectory datasets in geovisualization. However, its general usability is impacted by a lack of depth cues, a reported steep learning curve, and the requirement for efficient 3D navigation. In this work, we investigate a Space-Time Cube in the Immersive Analytics domain. Based on a review of previous work and selecting an appropriate exploration metaphor, we built a prototype environment where the cube is coupled to a virtual representation of the analyst's real desk, and zooming and panning in space and time are intuitively controlled using mid-air gestures. We compared our immersive environment to a desktop-based implementation in a user study with 20 participants across 7 tasks of varying difficulty, which targeted different user interface features. To investigate how performance is affected in the presence of clutter, we explored two scenarios with different numbers of trajectories. While the quantitative performance was similar for the majority of tasks, large differences appear when we analyze the patterns of interaction and consider subjective metrics. The immersive version of the Space-Time Cube received higher usability scores, much higher user preference, and was rated to have a lower mental workload, without causing participants discomfort in 25-minute-long VR sessions.

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Augmented Reality Map Navigation with Freehand Gestures

Cited by 56 publications

References 70 publications

Maps Around Me

Maps Around Me

Augmented situated visualization methods towards electromagnetic compatibility testing

Evaluating an Immersive Space-Time Cube Geovisualization for Intuitive Trajectory Data Exploration

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