pARanormal Collaboration: Split AR Avatar Representation for Dissimilar Spaces
(2025) MAMM15 20251Department of Design Sciences
- Abstract
- Although remote video communications are prevalent, they lack some natural aspects of usual human interactions. To an extent, these aspects can be reintroduced by immersive technologies and human digital representations, the avatars.
A commonly occurring challenge faced by such Extended Reality applications is communication between dissimilar spaces, i.e. spaces with different layouts. In such layouts the user’s movements are then anchored in a context differing their interlocutor’s. This calls for a design choice in the avatar’s behavior: adapting the representation to the local space for more presence or replicating the remote user’s behavior to
prevent information loss.
In this thesis, we propose to split the remote user’s avatar... (More) - Although remote video communications are prevalent, they lack some natural aspects of usual human interactions. To an extent, these aspects can be reintroduced by immersive technologies and human digital representations, the avatars.
A commonly occurring challenge faced by such Extended Reality applications is communication between dissimilar spaces, i.e. spaces with different layouts. In such layouts the user’s movements are then anchored in a context differing their interlocutor’s. This calls for a design choice in the avatar’s behavior: adapting the representation to the local space for more presence or replicating the remote user’s behavior to
prevent information loss.
In this thesis, we propose to split the remote user’s avatar into a local-focused one and a remote-focused one reducing the need for the usual trade-off between adapting and replicating. We designed and developed the first Augmented Reality application featuring a Split representation system. We then conducted user tests to assess its impact on user experience during a collaborative task.
Currently, no influence of the Split representation has been found on collaboration. However, it seems to positively impact co-presence and users’ feedback, which calls for further exploration of this idea. (Less)
Please use this url to cite or link to this publication:
http://lup.lub.lu.se/student-papers/record/9195831
- author
- Bórquez Gaete, José Ignacio LU and Chakma, Mael LU
- supervisor
- organization
- course
- MAMM15 20251
- year
- 2025
- type
- H2 - Master's Degree (Two Years)
- subject
- keywords
- Augmented Reality, Remote Communication, Dissimilar Spaces, Avatar, Split Representation
- language
- English
- id
- 9195831
- date added to LUP
- 2025-06-11 12:52:34
- date last changed
- 2025-06-11 12:52:34
@misc{9195831, abstract = {{Although remote video communications are prevalent, they lack some natural aspects of usual human interactions. To an extent, these aspects can be reintroduced by immersive technologies and human digital representations, the avatars. A commonly occurring challenge faced by such Extended Reality applications is communication between dissimilar spaces, i.e. spaces with different layouts. In such layouts the user’s movements are then anchored in a context differing their interlocutor’s. This calls for a design choice in the avatar’s behavior: adapting the representation to the local space for more presence or replicating the remote user’s behavior to prevent information loss. In this thesis, we propose to split the remote user’s avatar into a local-focused one and a remote-focused one reducing the need for the usual trade-off between adapting and replicating. We designed and developed the first Augmented Reality application featuring a Split representation system. We then conducted user tests to assess its impact on user experience during a collaborative task. Currently, no influence of the Split representation has been found on collaboration. However, it seems to positively impact co-presence and users’ feedback, which calls for further exploration of this idea.}}, author = {{Bórquez Gaete, José Ignacio and Chakma, Mael}}, language = {{eng}}, note = {{Student Paper}}, title = {{pARanormal Collaboration: Split AR Avatar Representation for Dissimilar Spaces}}, year = {{2025}}, }