Managing a document-based information space

Deller, Matthias; Agne, Stefan; Ebert, Achim; Dengel, Andreas; Hagen, Hans; Klein, Bertin; Bender, Michael; Bernardin, Tony; Hamann, Bernd

doi:10.1145/1378773.1378789

Cited by 7 publications

(6 citation statements)

References 22 publications

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“…Second-level Examples information retrieval (1884) entity ranking (6) [8], [21], [168] XML retrieval (5) [69], [74], [118] evaluation (35) [52], [162], [290] user activity tracking (2) [18], [27] search (76) [17], [27], [126] recommendation (27) [2], [41], [223] structure analysis (22) [246], [266], [269] query analysis (302) [19], [135], [330] filtering (15) [35], [102], [368] interactive retrieval (12) [138], [142], [284] unstructured information retrieval (107) [90], [204], [359] efficiency and scalability (361) [297], [354], [363] cluster/topic analysis (1624) community discovery (6) [215], [313], [374] text segmentation (26) [66], [174], [326] topic analysis (556) [11], [26], [88] contextual text mining (2) [234],…”

Section: First-levelmentioning

confidence: 99%

Bridging Text Visualization and Mining: A Task-Driven Survey

Liu

Wang

Collins

et al. 2019

IEEE Trans. Visual. Comput. Graphics

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Visual text analytics has recently emerged as one of the most prominent topics in both academic research and the commercial world. To provide an overview of the relevant techniques and analysis tasks, as well as the relationships between them, we comprehensively analyzed 263 visualization papers and 4,346 mining papers published between 1992-2017 in two fields: visualization and text mining. From the analysis, we derived around 300 concepts (visualization techniques, mining techniques, and analysis tasks) and built a taxonomy for each type of concept. The co-occurrence relationships between the concepts were also extracted. Our research can be used as a stepping-stone for other researchers to 1) understand a common set of concepts used in this research topic; 2) facilitate the exploration of the relationships between visualization techniques, mining techniques, and analysis tasks; 3) understand the current practice in developing visual text analytics tools; 4) seek potential research opportunities by narrowing the gulf between visualization and mining techniques based on the analysis tasks; and 5) analyze other interdisciplinary research areas in a similar way. We have also contributed a web-based visualization tool for analyzing and understanding research trends and opportunities in visual text analytics.

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Section: First-levelmentioning

confidence: 99%

Bridging Text Visualization and Mining: A Task-Driven Survey

Liu

Wang

Collins

et al. 2019

IEEE Trans. Visual. Comput. Graphics

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“…Evaluating these techniques indicated that they are fun and enable an efficient interaction. Further, Deller et al [20] introduced interaction techniques for managing 2D documents within a virtual work desk.…”

Section: Working With 2d Content In 3dmentioning

confidence: 99%

“…For example, they present an array of layered screen arranged around the user that expands the users small portable display and an application that visualizes 3D data on top of a touchscreen device (Figure 3). Dengel et al [21] and Deller [20] presented applications for working with documents on a stereoscopic display There are also commercially available solutions that support knowledge work in virtual reality, such as Oculus Infinite Office [1] where the user can open virtual browser windows and interact with them using a controller, gestures or a physical keyboard which is included in the virtual environment as a 3D model and a video pass-through visualization of the hands while typing. An example for AR would be spatial.io [2] which allows collaborative meetings by representing remote coworkers as avatars…”

Section: Applicationsmentioning

confidence: 99%

Extended Reality for Knowledge Work in Everyday Environments

Biener¹,

Ofek²,

Pahud³

et al. 2021

Preprint

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Virtual and Augmented Reality (VR and AR) have the potential to change information work. The ability to modify the workers senses can transform everyday environments into a productive office, using portable head-mounted displays (HMDs) combined with conventional interaction devices, such as keyboards and tablets. While a stream of better, cheaper and lighter HMDs have been introduced for consumers in recent years, there are still many challenges to be addressed to allow this vision to become reality. This chapter summarizes the state of the art in the field of extended reality for knowledge work in everyday environments and proposes steps to address the open challenges.

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“…Visualization of personal document archives has also been discussed (e.g. [8]). Most of them give specific meanings to axes of 2D or 3D space.…”

Section: Visualization Of Other Kinds Of Large Collectionmentioning

confidence: 99%

rewind: Visual Exploration of Web Video Viewing History for Self-reflection

Suga¹,

Nagasawa²,

Nakayama³

et al. 2020

Preprint

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Due to the rise in popularity of video sharing websites, video streaming services, and social networking services, people daily watch many videos on the web. However, viewers do not commonly access their video viewing history for the purpose of self-reflection and self-representation. A previous research addressed the issue of creating visual mementos, or visualizations to be kept as reminders of life experiences from personal digital data. As a new application of the research, in this paper we present a system named rewind, through which users can create visual mementos of their web video viewing experiences to reminisce about and share. The system rewind provides two kinds of visualizations: MapView (2D) and TubeView (3D), both of which are intended to visualize the YouTube video viewing history of a single user by giving plausible meanings to the size and position of thumbnails and directed links between them. These visualizations remind users of their interests and viewing preferences hidden in the watch history. The user interface of rewind is designed with designated visual exploration functions according to Shneiderman’s Visual Information Seeking Mantra. We also employed an anamorphosis-based, naked-eye 3D display technique in order for TubeView to build an immersive environment for facilitating self-reflection. In addition, the system rewind provides the functionalities that are necessary in a visual memento creation tool to express subjectivity toward the past and to share visual mementos with others while hiding sensitive information.

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Managing a document-based information space

Cited by 7 publications

References 22 publications

Bridging Text Visualization and Mining: A Task-Driven Survey

Bridging Text Visualization and Mining: A Task-Driven Survey

Extended Reality for Knowledge Work in Everyday Environments

rewind: Visual Exploration of Web Video Viewing History for Self-reflection

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