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Mixed Reality for Collaborative Learning and Collaborative Problems Solving Environment
PhD Thesis Proposal Defence
Title: "Mixed Reality for Collaborative Learning and Collaborative Problems
Solving Environment"
by
Mr. Santawat THANYADIT
Abstract:
People rely on workspace awareness to collaborate with one another, especially
in learning and problem-solving tasks. Workspace awareness is defined as an
understanding of a current state of the work environment and collaborators'
activities. However, workspace awareness is difficult to maintain in virtual
environments, since some information from the real world is missing.
Fortunately, virtual environments are flexible and can be designed to
compensate for a lack of real world cues. This thesis proposal aims to improve
collaborative workspace awareness through enhancing the design of virtual
environments. Our proposed approaches improve workspace awareness in three
ways. The first aims to examine space configurations that could improve
awareness in a collaboration. The second explores different strategies for
updating the visual environment so that users are aware of their collaborators'
actions. The third goal is to find visual cues that raise the user's awareness
when collaborating with multiple users.
Prior research studies suggested that users operate in workspace to manage
their attention and divide their tasks when working in the real world. The
space within the users' reach is often assigned as a private space and the
space out of users' reach is assigned as a group space. Following this
approach, we propose to set up a virtual space in a desktop virtual reality
environment by assigning the space in front of the desktop screen as a private
space and the space behind the screen as a group space. According to our user
study, this setup improves collaborations between users.
To gain further insight into information sharing strategies in virtual
environments, a user study was conducted to compare different strategies for
updating the virtual environments in complex remote problem-solving tasks. From
the study, real-time updating is found to be not suitable for workspace
awareness, especially when users are performing different tasks. On the other
hand, an updating strategy that updates only information that is relevant to
the users' actions performs the best. Moreover, users change collaboration
strategies depending on the update timing. A design guideline is proposed from
the user study as a direction for different collaborative situations.
While there are many research works that allow users to work together in
one-to-one collaborations, less attention has been paid to one-to-many
collaborations. This is due to the lack of visual awareness cues that allow
users to spectate multiple users. To alleviate this limitation, a prototype
system named ObserVAR is proposed. ObserVAR utilizes Augmented Reality (AR)
technology to help an instructor in spectating multiple Virtual Reality (VR)
users by augmenting the instructor's environment with virtual awareness cues
generated from the VR users. In the development of ObserVAR, different
awareness cues are compared in a user study to determine its suitability under
various circumstances. The virtual awareness cues are then optimized further
using techniques derived from graph visualization to reduce visual clutter.
Finally, the knowledge gained from improving workspace awareness with different
approaches is integrated into a collaborative framework for learning and
problem-solving tasks. The contributions of this thesis include an enhanced
design of desktop virtual reality for collaborations; multiple improvements in
workspace awareness across different aspects; the design and development of the
ObserVAR system for one-to-many collaborations; and a collaborative framework
that utilizes the proposed designs. This thesis explores various enhancements
of virtual environments to improve workspace awareness, which leads to a better
performance in collaborative learning and problem-solving tasks. The virtual
environment designs in this thesis can be used as a guideline for future
collaborative systems.
Date: Monday, 18 March 2019
Time: 3:00pm - 5:00pm
Venue: Room 2408
(lifts 17/18)
Committee Members: Prof. Tin-Chuen Pong (Supervisor)
Prof. Huamin Qu (Chairperson)
Dr. Xiaojuan Ma
Prof. Ajay Joneja (IEDA)
**** ALL are Welcome ****