Search for dissertations about: "collaborative information visualization"

Showing result 1 - 5 of 11 swedish dissertations containing the words collaborative information visualization.

2. 1. Collaborative Visualization : Designing and evaluating systems for co-located work

   Author : Lars Winkler Pettersson; Stefan Seipel; Anders Jansson; Oliver Bimber; Uppsala universitet; []
   Keywords : Visualization; Human-Computer Interaction; Collaboration; Co-located Visualization; Computer Supported Cooperative Work;

   Abstract : This thesis investigates new ways of using information visualization to support collaboration in co-located work. To study this phenomenon, Multiple Viewer Display Environments (MVDEs) with independent views have been applied to present information such that all viewers at the same time and in the same display can see correct views of 3D models, see correctly oriented text and see different parts and aspects of information in each view. READ MORE

4. 2. User-Centered Collaborative Visualization

   Author : Daniel Cernea; Andreas Kerren; Achim Ebert; Helen C. Purchase; Linnéuniversitetet; []
   Keywords : NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURVETENSKAP; NATURAL SCIENCES; collaborative information visualization; computer-supported cooperative work CSCW ; user-centered design; emotion visualization; affective user interface; tabletop; touch surfaces; nestable tangibles; subjective evaluation; Information and software visualization; Informations- och programvisualisering; Computer Science; Datavetenskap;

   Abstract : The last couple of years have marked the entire field of information technology with the introduction of a new global resource, called data. Certainly, one can argue that large amounts of information and highly interconnected and complex datasets were available since the dawn of the computer and even centuries before. READ MORE

5. 3. Guided Interaction and Collaborative Exploration in Heterogeneous Network Visualizations

   Author : Björn Zimmer; Andreas Kerren; Hans-Jörg Schulz; Linnéuniversitetet; []
   Keywords : NATURAL SCIENCES; NATURVETENSKAP; NATURVETENSKAP; NATURAL SCIENCES; Information Visualization; Multivariate Networks; Visual Analytics; Exploration; Interaction; Collaboration; Provenance; Guidance; Informations- och programvisualisering; Information and software visualization;

   Abstract : The visual exploration of large and complex network structures remains a challenge for many application fields, such as systems biology or social sciences. Often, various domain experts would like to work together to improve the analysis time or the quality of the analysis results. READ MORE

6. 4. Consistency management in collaborative modelling and simulation

   Author : Jenny Ulriksson; Rassual Ayani; KTH; []
   Keywords : NATURAL SCIENCES; NATURVETENSKAP; NATURVETENSKAP; NATURAL SCIENCES; CSCW; collaboration; HLA; distributed simulation; consistency management; CSCW services; modelling and simulation; Computer and systems science; Data- och systemvetenskap;

   Abstract : The aim of this thesis is to exploit the technological capabilities of computer supported collaborative work (CSCW) in the field of collaborative Modelling and Simulation (M&S). The thesis focuses on addressing two main problems: (i) providing flexible means of consistency management in collaborative M&S, and (ii) the ability of providing platform and application independent services for collaborative M&S. READ MORE

7. 5. Using Learning Analytics to Understand and Support Collaborative Learning

   Author : Mohammed Saqr; Uno Fors; Jalal Nouri; Barbara Wasson; Stockholms universitet; []
   Keywords : NATURAL SCIENCES; NATURVETENSKAP; NATURVETENSKAP; NATURAL SCIENCES; Learning analytics; Social Network Analysis; Collaborative Learning; Medical Education; Interaction Analysis; Machine Learning; informationssamhället; Information Society;

   Abstract : Learning analytics (LA) is a rapidly evolving research discipline that uses insights generated from data analysis to support learners and optimize both the learning process and learning environment. LA is driven by the availability of massive data records regarding learners, the revolutionary development of big data methods, cheaper and faster hardware, and the successful implementation of analytics in other domains. READ MORE