Immersive Human-Centered Computational Analytics

Stuerzlinger, Wolfgang; Dwyer, Tim; Drucker, Steven M.; Görg, Carsten; North, Chris; Scheuermann, Gerik

doi:10.1007/978-3-030-01388-2_5

Cited by 11 publications

(7 citation statements)

References 52 publications

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“…Some VA systems also incorporate explicit support for managing alternatives [ 13 , 14 ]. Others have proposed “mixed-initiative” systems that utilize machine learning and data-mining systems that integrate alternative “threads” of analysis as a central system component [ 15 , 16 ].…”

Section: Visual Analyticsmentioning

confidence: 99%

Visual Analytics: A Method to Explore Natural Histories of Oral Epithelial Dysplasia

Nowak¹,

Rosin²,

Stuerzlinger³

et al. 2021

Front. Oral. Health

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Risk assessment and follow-up of oral potentially malignant disorders in patients with mild or moderate oral epithelial dysplasia is an ongoing challenge for improved oral cancer prevention. Part of the challenge is a lack of understanding of how observable features of such dysplasia, gathered as data by clinicians during follow-up, relate to underlying biological processes driving progression. Current research is at an exploratory phase where the precise questions to ask are not known. While traditional statistical and the newer machine learning and artificial intelligence methods are effective in well-defined problem spaces with large datasets, these are not the circumstances we face currently. We argue that the field is in need of exploratory methods that can better integrate clinical and scientific knowledge into analysis to iteratively generate viable hypotheses. In this perspective, we propose that visual analytics presents a set of methods well-suited to these needs. We illustrate how visual analytics excels at generating viable research hypotheses by describing our experiences using visual analytics to explore temporal shifts in the clinical presentation of epithelial dysplasia. Visual analytics complements existing methods and fulfills a critical and at-present neglected need in the formative stages of inquiry we are facing.

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Section: Visual Analyticsmentioning

confidence: 99%

Visual Analytics: A Method to Explore Natural Histories of Oral Epithelial Dysplasia

Nowak¹,

Rosin²,

Stuerzlinger³

et al. 2021

Front. Oral. Health

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“…8]. Typical tasks within the context of IA are, among others, Encode/Visualize, Select, or Navigate/Explore [10,39]. More specific tasks within the context of time-oriented data are, e.g., tasks related to the examination of the data value's temporal location, rate of change, or synchronization [2,Ch.…”

Section: Research Focusmentioning

confidence: 99%

Exploration of Time-Oriented Data in Immersive Virtual Reality Using a 3D Radar Chart Approach

Reski

Alissandrakis

Kerren

2020

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

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In this paper, we present an approach to interact with time-oriented data in Virtual Reality within the context of Immersive Analytics. We implemented a Virtual Reality application that enables its user to explore data in an immersive environment (head-mounted display, 3D gestural input), utilizing potential advantages of immersive technologies, for instance, depth cues for better spatial understanding, natural interaction, and user engagement. The visualization design is inspired by the overall concept of a radar chart, and using the third dimension to represent time-series related data. We conducted a user study with 15 participants, encouraging them to examine a representative dataset within an explorative analysis scenario with no time constraints. Based on the results of usability and user engagement scores, task completion analysis, observations, and interviews, we were able to empirically validate the approach in general, and gain insights in the users' interaction and data analysis strategies. CCS Concepts: • Human-centered computing → Empirical studies in HCI; Interactive systems and tools; Virtual reality; Gestural input; Empirical studies in visualization; Visualization systems and tools.

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“…This sensemaking loop breaks the process down into several stages, as illustrated in figure 1. For Immersive Analytics, i.e., doing VA activities in immersive environments, previous research shows how each stage of the sensemaking loop might be improved or impaired by the capabilities or limitations of the system [20]. !…”

Section: Sensemaking In Immersive Environmentsmentioning

confidence: 99%

“…Thus, different parts of a complex model could be compartmentalized to different (virtual) spatial locations. Analysts can then use the space not only for their collected information but also to organize and structure their analytical workflow and thought processes [20]. In this paper we focus on this aspect of sensemaking.…”

Section: Sensemaking In Immersive Environmentsmentioning

confidence: 99%

Immersive Analytics Sensemaking on Different Platforms

Blum¹,

Cetin²,

Stuerzlinger³

2019

Computer Science Research Notes

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In this work we investigated sensemaking activities on different immersive platforms. We observed user s during a classification task on a very large wall-display system (experiment I) and in a modern Virtual Reality headset (experiment II). In experiment II, we also evaluated a condition with a VR headset with an extended field of view, through a sparse peripheral display. We evaluated the results across the two studies by analyzing quantitative and qualitative data, such as task completion time, number of classifications, followed strategies, and shape of clusters. The results showed differences in user behaviors between the different immersive platforms, i.e., the very large display wall and the VR headset. Even though quantitative data showed no significant differences, qualitatively, users used additional strategies on the wall-display, which hints at a deeper level of sensemaking compared to a VR Headset. The qualitative and quantitative results of the comparison between VR Headsets do not indicate that users perform differently with a VR Headset with an extended field of view.

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Immersive Human-Centered Computational Analytics

Cited by 11 publications

References 52 publications

Visual Analytics: A Method to Explore Natural Histories of Oral Epithelial Dysplasia

Visual Analytics: A Method to Explore Natural Histories of Oral Epithelial Dysplasia

Exploration of Time-Oriented Data in Immersive Virtual Reality Using a 3D Radar Chart Approach

Immersive Analytics Sensemaking on Different Platforms

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