AFC- A Flying Chessboard – A VR Platform for VR Team Games
VR Space Characteristics & Dynamics
Basic Version
• Simple Chessboard corresponding to a 10x10m square floor
• People-like avatars will move freely on the Chessboard, from tile to tile (tile approx. 33 cm to correspond to step)
• The default state is that the Chessboard is flying in the space/sky, with typically 5 to 50 avatars standing and moving on it (we are aiming at designing VR Games
for Teams of 3 to 50+ synchronous online users)
Oscillating Version
• In this extension we need a way for sending real-time to the Chessboard 4 “Oscillate” commands (corresponding to Rotate commands, counter- or clockwise -
around the 2 axis). The Chessboard would move correspondingly.
• When the Chessboard oscillates, avatars on the Chessboard will experience “Gravity” and even being “moved” by it. It the rotation angle becomes higher than 45
degrees, the avatars will be moved by gravity to a different position/tile – eventually falling from the Chessboard.
• Preventing avatars to fall: An option is to provide them the possibility to switch freely from “standing” on a tile to “grabbing” the tile, or “hanging to” a tile
(walking vs crawling).
Platform for VR Team Games requiring the integration of Additional Functionality
The ones described in 1 are the key characteristics and dynamics of the VR Space in which a number of VR Team Games will take place. These games will require
additional elements to be integrated. For instance:
• Most VR Team Games will need from 1 to 3 large translucent Information Walls around 3 of the edges of the Chessboard, to display information of different types
(including game-related information, but also the dynamic display of a text chat space among the users, or a real-time camera) in a way which is easily visible by
all the avatars.
• Some of the VR Team Games will also require the access to real-time data about the location of the avatars on the Chessboard, as the “Score” (to be displayed on
the Information Walls) might be a function of where the avatars are on the Chessboard and change every time one of the avatars moves.
AlphaLabs VR Projects
AlphaLabs 2021
AFC- A Flying Chessboard – A VR Platform for VR Team Games
• Virtual Chessboard Map – On one of the Information Walls there should be a “Map” displaying dynamically
an image of the chessboard including the location of the avatars (positioning). This Map enables avatars
from wherever on the Chessboard to get an overview of the situation (how many players around?
Where are they?) taking a “from the top” perspective to for instance “see” in which direction it is moving.
• Magic Floor – Possibility to dynamically change the chessboard into a different static image, like for example a World Map
on which the avatars would have to “position” themselves depending on their nationalities, or on the countries they like
most. This functionality is required for a number of Game Dynamics requiring avatars to “move” in the VR Space -
positioning themselves on a floor in which their “location” will reflect their preference or choice.
• Inter-avatar voice communication – Voice can be activated or not. If activated, it should support voice communion
among avatars (2 or more) within a given radius/distance - like in gather.com and similar tools. Every avatar should also
be given the possibility to “Take the Floor” and become hearable by all the other avatars.
AlphaLabs VR Projects
AlphaLabs 2021
Data
Options
Perspectives
Comparative Analysis
Data Analytics
VR Decision BoardRoom – A VR Space to support and enhance Team Decision Making
Learning Experience/Game Dynamics of EagleRacing Simulation
Round 1: Participants exchanges via email only.
Round 2: Extension to other online tools (chats, shared docs)
Round 3: Online real time tools and other advanced collaboration
environments allowed (*)
New Challenges (*):
➢ Exploring and describing my own Individual decision in the VR DBR
➢ Using the VR DBR to present/explain your own decision to others
➢ Exploring and describing jointly our Team decision in the VR DBR
➢ Team vs Team for complex and polarizing decisions like in EagleRacing
➢ 2 Groups/Teams using the VR DBR to represent their (very different)
decision on the same Management Dilemma. Groups then visiting
each others VR DBRs to explore jointly the diversity of perspectives
and decisions, and to try to find consensus.
Individual
Teams
Groups
Deployment
Options DATA Perspectives
VR Decision BoardRoom
AlphaLabs 2021
VR Decision BoardRoom – A VR Space to support and enhance Team Decision Making
VR Space Characteristics & Dynamics
• Simple Room with 4 translucent Information Walls and a number of simple controls related to what is visualized on each Wall.
• The Options Wall is used to visualize the different available options (between 2 and 10+) in a Posters-way.
Controls enable simple scrolling for large options sets, and the editing of text or numeric fields of each option/Poster.
Controls also support insertion and deletion of options
• The Perspectives Wall is used to visualize the different perspectives (between 2 and 10+) i.e. quantifiable (although possibly subjectively)
criteria/dimensions supporting the comparison of options.
Controls enable simple scrolling for large perspectives sets, and the editing of text or numeric fields of each Perspective.
Controls also support insertion and deletion of options and the specification of perspective-specific parameters, such as their Weights
• The Data Wall is used to visualize the data underlying the decision. It takes the form of a matrix/spreadsheet [Options x Perspectives].
Controls enable simple scrolling in case of large matrices, and the editing of text or numeric fields of each matrix element.
• The Exploration & Decision Wall is used to support different types of comparisons among options, to visualize rankings among options,
and perform “what-if” analysis at different levels
Controls enable to select which options to explore and which rankings or analysis results to visualize
Note that a change performed through the controls of one of the Walls can have direct consequences on what is displayed in the other Walls.
Agent-enhanced Version
• Decision Analysis Assistance – focusing on accompanying the Learner(s) throughout the different steps of the Experience, starting from discovering the different
features of the VR Decision BoardRoom, and how they can be best deployed to gradually describe and explore/analyze the Decision at hand.
• Decision Quality Assistance – focusing on detecting and pointing to potential shortcomings and blind spots related to how the Decision is framed, which data
flows into the process, to the Learner(s) preference structure and how different factors and data are combined to identify the best possible choice.
Designing Humanized Systems for Multiple Criteria Decision Making, Angehrn, Albert A., Human Systems Management , Volume 10 (3) – Jan 1, 1991
VR Projects
Data
Options
Perspectives
Comparative Analysis
What If Analysis
AlphaLabs 2021
