Interaction for Immersive Analytics

Büschel, Wolfgang; Chen, Jian; Dachselt, Raimund; Drucker, Steven M.; Dwyer, Tim; Görg, Carsten; Isenberg, Tobias; Kerren, Andreas; North, Chris; Stuerzlinger, Wolfgang

doi:10.1007/978-3-030-01388-2_4

Cited by 44 publications

(30 citation statements)

References 137 publications

(147 reference statements)

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“…Immersion has the potential to facilitate the exploration of data (e.g., depth cues as additional information dimension, presentation of data with spatial embedding, literally more space to arrange views, increased user engagement), prompting IA researchers to reconsider the value of 3D visualizations, since their application for data exploration is rather rare outside of Scientific Visualization (SciVis) [40]. Besides the actual visualization and interaction with data in the 3D space [11], another important aspect determining the success of IA is concerned with the collaborative capabilities of an IA system [6]. However, wearing a HMD to immersive oneself in the VR environment (visually) isolates its user from the physical surroundings.…”

Section: Ia and Cscwmentioning

confidence: 99%

“…Donalek et al [19] explored the use of VR for data visualization with the aim to facilitate the user's visual discovery skills, also providing some preliminary insights towards collaborative aspects. Interactive techniques for data selection, navigation, filtering, or annotation, are fundamental for any IA system [11]. Streppel et al [50] explored three concepts for immersive interaction (direct user interaction, physical controls, virtual controls) within the context of a software city application, finding no major preference of one concept over the other based on the subjective impressions of the study participants.…”

Section: Immersive Interaction and Collaborationmentioning

confidence: 99%

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“Oh, that’s where you are!” – Towards a Hybrid Asymmetric Collaborative Immersive Analytics System

Reski

Alissandrakis

Tyrkkö

et al. 2020

Proceedings of the 11th Nordic Conference on Human-Computer Interaction: Shaping Experiences, Shaping Society

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We present a hybrid Immersive Analytics system to support asymmetrical collaboration between a pair of users during synchronous data exploration. The system consists of an immersive Virtual Reality application, a non-immersive web application, and a real-time communication interface connecting both applications to provide features to facilitate the collaborators' mutual understanding and their ability to make (spatial) references. We conducted a real world case study with pairs of language students, encouraging them to use the developed system to investigate a large multivariate Twitter dataset from a sociolinguistic perspective within an explorative analysis scenario. Based on the results of usability scores, log file analyses, observations, and interviews, we were able to validate the approach in general, and gain insights into the users' collaboration with respect to awareness, deixis, and group dynamics. CCS Concepts: • Human-centered computing → Virtual reality; Collaborative interaction; Empirical studies in HCI ; Collaborative and social computing.

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Section: Ia and Cscwmentioning

confidence: 99%

Section: Immersive Interaction and Collaborationmentioning

confidence: 99%

“Oh, that’s where you are!” – Towards a Hybrid Asymmetric Collaborative Immersive Analytics System

Reski

Alissandrakis

Tyrkkö

et al. 2020

Proceedings of the 11th Nordic Conference on Human-Computer Interaction: Shaping Experiences, Shaping Society

Self Cite

View full text Add to dashboard Cite

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“…There is a number of publications investigating the use of VR in desktop-based environments for tasks such as text entry (e.g., [41,53,70]), system control [132,133] and visual analytics [120]. Büschel et al [15] surveyed a wide range of immersive interaction techniques for visual analytics. Previous research on productivity desktop-based VR has concentrated on the use of physical keyboards [99], controllers and hands [55,133], and, recently, tablets [111].…”

Section: Mixed Reality For Knowledge Workmentioning

confidence: 99%

Breaking the Screen: Interaction Across Touchscreen Boundaries in Virtual Reality for Mobile Knowledge Workers

Biener

Schneider

Gesslein

et al. 2020

IEEE Trans. Visual. Comput. Graphics

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Virtual Reality (VR) has the potential to transform knowledge work. One advantage of VR knowledge work is that it allows extending 2D displays into the third dimension, enabling new operations, such as selecting overlapping objects or displaying additional layers of information. On the other hand, mobile knowledge workers often work on established mobile devices, such as tablets, limiting interaction with those devices to a small input space. This challenge of a constrained input space is intensified in situations when VR knowledge work is situated in cramped environments, such as airplanes and touchdown spaces. In this paper, we investigate the feasibility of interacting jointly between an immersive VR head-mounted display and a tablet within the context of knowledge work. Specifically, we 1) design, implement and study how to interact with information that reaches beyond a single physical touchscreen in VR; 2) design and evaluate a set of interaction concepts; and 3) build example applications and gather user feedback on those applications.

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“…The ability to interact with the data representation is an essential feature of all visualization systems [Tuk77, Mun14] and has been considered to be a crucial and a major challenge of the visualization community for 3D representation from the 1960s [Sut66] to recent days [Hib99, Rhe02, Joh04, TM04, Kee10, KI13, BCD∗18, WBG∗19]. We thus discuss related work within the field of 3D interaction [Han97, JH13, Ise16, LKM∗17], where our work relates to 3D selection techniques and to hybrid input paradigms used in 3D exploratory data analysis.…”

Section: Context and Related Workmentioning

confidence: 99%

Hybrid Touch/Tangible Spatial 3D Data Selection

Besançon

Sereno

et al. 2019

Computer Graphics Forum

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We discuss spatial selection techniques for three‐dimensional datasets. Such 3D spatial selection is fundamental to exploratory data analysis. While 2D selection is efficient for datasets with explicit shapes and structures, it is less efficient for data without such properties. We first propose a new taxonomy of 3D selection techniques, focusing on the amount of control the user has to define the selection volume. We then describe the 3D spatial selection technique Tangible Brush, which gives manual control over the final selection volume. It combines 2D touch with 6‐DOF 3D tangible input to allow users to perform 3D selections in volumetric data. We use touch input to draw a 2D lasso, extruding it to a 3D selection volume based on the motion of a tangible, spatially‐aware tablet. We describe our approach and present its quantitative and qualitative comparison to state‐of‐the‐art structure‐dependent selection. Our results show that, in addition to being dataset‐independent, Tangible Brush is more accurate than existing dataset‐dependent techniques, thus providing a trade‐off between precision and effort.

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Interaction for Immersive Analytics

Cited by 44 publications

References 137 publications

“Oh, that’s where you are!” – Towards a Hybrid Asymmetric Collaborative Immersive Analytics System

“Oh, that’s where you are!” – Towards a Hybrid Asymmetric Collaborative Immersive Analytics System

Breaking the Screen: Interaction Across Touchscreen Boundaries in Virtual Reality for Mobile Knowledge Workers

Hybrid Touch/Tangible Spatial 3D Data Selection

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