Lessons Learned

From EuroVR Knowledge Base

As part of the activities of the INTUITION network, information was gathered from the partners on their "lessons learned" from their experiences with VR. The following categories contain case studies of real issues by users in real applications. Please feel free to add your own experiences.

EXECUTIVE SUMMARY

This deliverable called Lessons Learned News (LLN) is a sort of news letter aiming especially at VR technologies users, to keep them updated with the findings obtained from the research activities that are under the INTUITION umbrella. These findings are not the main research results but mainly the lessons learned in the process of performing the activity. Thus this is an organised collection of information to help INTUITION partners and FORUM members to better perform or take advantage of the activities that are following. The content of this document is collected from all INTUITION partners as FORUM members. This Newsletter will be distributed annually in a wide community including all members of the FORUM plus external stakeholders all over the world that have accepted to link with INTUITION. In this first issue this document provides the structure and process that will be used, some examples and a form to collect the lessons learned from the INTUITION extended network (partners and FORUM members). This delivery is as a support for the exploitation of the research activities organised within INTUITION.

Introduction

This is the first issue of the Lessons Learned News (LLN), this issue is dedicated to provide a structure for the collection and organisation and issue of the future LLN.

Lessons Learned Structure

The lessons learned are organised in the following four categories according to their major impact on the activity from which they have been identified:

• Technical Lessons Learned
• Schedule & Costs Lessons Learned
• Organisational & Managerial Lessons Learned
• Showstoppers Lessons Learned

Under each of these categories the related lessons learned are collected and organised using the following structure:

• Identified problem
• Impact on the activity
• Related URD Requirement (if any)
• Consideration and Identified/implemented solution
• Lesson Learned
• Reference project.

To help in the data collection and retrieval the “Identified Problem” field is implemented using keywords. A preliminary list of Keywords is provided in the annex, this list is a self generating list so generation of new keywords is allowed.

Collecting Process

The prime actor for the collection of lessons learned is each Cluster 2 Working Group. The process to collect Lesson Learned is a continuous process this means that whenever a new lesson learned is being identified within the WG either coming from direct partners’ experiences during past or present research activities, or coming from a FORUM member this is transmitted to the WG1.5 responsible. The preparation of this document on the other hand is a recurrent process in which at each stage (recurring each year) the Lessons Learned News (LLN) are established and their relation with the URD requirements if it exist identified and the present document reissued. Some additional information from outside the Network has been identified and added.

Conclusions

The scope and objectives of the Lessons Learned News are presented. It is expected that this tools will be both valuable and efficient for the Consortium itself but also for the VR community. The first to be addressed in such a case are the User Forum members which will be the ones to share closely the INTUITION vision and keep a close track of its activities and work programme.

References

• VIEW of the future project - IST-2000-26089.
• Mine, Mark: “Towards Virtual Reality for the Masses: 10 Years of Research at Disney’s VR Studio” ; 7. International Immersive Projection Technologies Workshop, 9. Eurographics Workshop on Virtual Environments, J. Deisinger, A. Kunz (Editors).
• Daly, Mark; Smith, Randall C. e.a.: “Distributed Design Review in Virtual Environments”, CVE2000, San Francisco.
• Canada, Curt e.a.: “La Cueva Grande: a 43-Megapixel Immersive System”, IEEE VR 2006, Workshop on Emerging Display Technologies.
• ARCO – Augmented Representation of Cultural Objects (IST-2001-28336)
• European Space Agency ESA - EXPERT Phase B project
• ALBATROS, ERDF funded project (1FD97-2177)
• AD4 – 4D Virtual Airspace Management System – http://www.ad4-project.com

List of Keywords

• Data Description Standard: When a standard is not available to guarantee data interface/exchange
• Human Factors issues in a device: When the utilisation of a device limited due to human factors issues
• Lack of confidence: When there is not enough confidence in VR/VE solutions to base decisions on developed products(concepts) represented in VEs only.
• Missing Interface Software: When an essential enabling software has not been considered in the items to be developed
• Not clear cost/benefit: When the cost/benefit is not clear to the potential high level users (usually the management) of the technology