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Large Scale Collaborative Virtual Environments: Distinguished Dissertations

Autor Chris Greenhalgh
en Limba Engleză Paperback – 16 sep 2011
Collaborative virtual environments are multi-user virtual realities which actively support communication and co-operation. This book addresses the theory, design, realisation and evaluation of such systems, with a particular emphasis on support for large numbers of distributed users. A broad approach is taken, which ranges from the sociology of interpersonal communication to the management of communication in distributed systems. The emphasis on multi-user environments distinguishes this book from the many general books on virtual reality which only deal with single-user systems. This book presents: models of multi-party awareness and interaction in space-based systems; detailed designs of two prototypes (MASSIVE-1 and MASSIVE-2); experiences with collaborative virtual environments created using these; and analyses of the corresponding network requirements. Many of these results and ideas are applicable to other systems and approaches.
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Specificații

ISBN-13: 9781447112228
ISBN-10: 1447112229
Pagini: 252
Ilustrații: XVI, 229 p.
Dimensiuni: 155 x 235 x 13 mm
Greutate: 0.36 kg
Ediția:Softcover reprint of the original 1st ed. 1999
Editura: SPRINGER LONDON
Colecția Springer
Seria Distinguished Dissertations

Locul publicării:London, United Kingdom

Public țintă

Research

Cuprins

1. Introduction.- 1.1. Collaborative Virtual Environments.- 1.2. Issues of Scale.- 1.3. Approach.- 1.4. Thesis Structure and Reading Plan.- 2. CVEs: a Review.- 2.1. CSCW.- 2.2. Multi-user Virtual Reality.- 2.3. Summary.- 3. The Spatial Model of Interaction.- 3.1. Motivations.- 3.2. The Model.- 3.3. Extensions and Developments.- 3.4. Demonstrations and Examples.- 4. MASSIVE-1.- 4.1. User Interface.- 4.2. Tools.- 4.3. Distribution Model.- 4.4. Implementation Overview.- 5. Direct Awareness.- 5.1. Implementation.- 5.2. In Use.- 5.3. Evaluation.- 5.4. Summary and Conclusions.- 6. Spatial Trading.- 6.1. Implementation.- 6.2. Use.- 6.3. Evaluation.- 6.4. Summary and Conclusions.- 7. Third Party Objects.- 7.1. Theory.- 7.2. Examples.- 7.3. Exploitability.- 7.4. Summary.- 8. MASSIVE-2.- 8.1. User Interface.- 8.2. Third Party Objects.- 8.3. Distribution Model.- 8.4. Implementation Overview.- 9. Contextualised Awareness.- 9.1. Implementation.- 9.2. Use.- 9.3. Evaluation.- 9.4. Summary.- 10. Awareness Driven Communication.- 10.1. Implementation.- 10.2. Use.- 10.3. Evaluation.- 10.4. Summary and Conclusions.- 11. Conclusions.- 11.1. Summary.- 11.2. Main Contributions.- 11.3. Reflection.- Appendix A. User Profiling.- A. 1. Data Sources.- A.1.1. MASSIVE-1 Log Files.- A. 1.2. Network Traffic Data.- A.2. Movement.- A.2.1. Time Spent Moving.- A.2.2. Group World Transitions.- A.2.3. Returning to Worlds.- A.3. Audio.- A.3.1. Network Audio Data.- A.3.2. Visual “Mouth” Data.- A.3.3. Audio Data Conclusions.- Appendix B. Exploitation and Dissemination.- B.1. Primary Publications.- B.2. Secondary Publications.- B.3. Project Input.- References.