Showing all 4 Tech Reports linked to Jiri Komzak

From Buddyspace to CitiTag: Large-scale Symbolic Presence for Community Building and Spontaneous Play

In this paper we discuss the conceptual framework and principles that guide our work in the design of large-scale informal environments for collaborative work, learning and play, aiming to foster social bonds and to provide an exciting testbed for emergent social behaviours. We present three different applications we have developed: Buddyspace, an Instant Messaging environment for community building, BumperCars, an online presence-based multiplayer game and CitiTag, an experimental wireless...read more

ID: kmi-04-25

Date: 2004

Author(s): Yanna Vogiazou, Marc Eisenstadt, Martin Dzbor and Jiri Komzak

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Buddyspace: Large-Scale Presence for Communities at Work and Play

Presence awareness' of peer-group members can enhance the emotional well-being of isolated learners and create a sense of community, fostering group communication and interaction. This paper presents our research framework in the design of presence-based applications for collaborative, learning and social environments and investigates the design of innovative playful and group learning activities for large numbers of people, based primarily on their mere presence. To promote the deployment of...read more

ID: kmi-03-14

Date: 2003

Author(s): Yanna Vogiazou, Martin Dzbor, Jiri Komzak and Marc Eisenstadt

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Visualisation Of Entity Distribution In Very Large Scale Spatial And Geographic Information Systems

The aim of this paper is to summarise entity distribution visualisation problems in very large-scale spatial and geographic information systems. The motivation for this theme arises from the challenge of visualising the geographic and logical distribution of many tens of thousands of distance-learning students at the UK's Open University. At the beginning, the paper describes the algorithms and data structures used by current geographic and spatial information systems. These include...read more

ID: kmi-01-19

Date: 2001

Author(s): Jiri Komzak

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Hierarchical clustering speed up using position lists and data position hierarchy

The aim of this paper is to address the nature of hierarchical clustering problems in systems with very large numbers of entities, and to propose specific speed improvements in the clustering algorithm. The motivation for this theme arises from the challenge of visualising the geographic and logical distribution of many tens of thousands of distance-learning students at the UK's Open University. A general algorithm for solving hierarchical clustering is mentioned at the beginning. Then the...read more

ID: kmi-01-18

Date: 2001

Author(s): Jiri Komzak

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