
Large Scale Collaborative Virtual Environments
Chris Greenhalgh(Author)
Springer (Publisher)
Published on 16. September 2011
Book
Paperback/Softback
XVI, 229 pages
978-1-4471-1222-8 (ISBN)
Description
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.
More details
Series
Edition
Softcover reprint of the original 1st ed. 1999
Language
English
Place of publication
London
United Kingdom
Target group
Professional and scholarly
Research
Illustrations
XVI, 229 p.
Dimensions
Height: 235 mm
Width: 155 mm
Thickness: 14 mm
Weight
388 gr
ISBN-13
978-1-4471-1222-8 (9781447112228)
DOI
10.1007/978-1-4471-0867-2
Schweitzer Classification
Other editions
Additional editions
Chris Greenhalgh
Large Scale Collaborative Virtual Environments
Book
05/1999
Springer
€139.09
Article exhausted; check different version
Content
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.