Matthew Tait

dblp:140/9529 · DBLP profile ↗
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4ranked-venue papers
3as first author
1since 2021 · last 2024
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Human-computer interaction and ubiquitous computing · 3 · 3 first-authorGraphics, computer vision, multimedia, augmented reality and games · 2 · 2 first-authorArtificial intelligence and machine learning · 1 · 1 since 2021Theory of computation · 1 · 1 since 2021
YearPublicationVenuePosition
2024 Towards Explainable Weather Forecasting Through FastLAS
Talissa Dreossi, Agostino Dovier, Andrea Formisano 0001, Mark Law, Agostino Manzato, Alessandra Russo, Matthew Tait
LPNMR7
2015 The Effect of View Independence in a Collaborative AR System
Matthew Tait, Mark Billinghurst
Comput. Support. Cooperative Work.1
2014 View independence in remote collaboration using AR
abstract
This poster presents an Augmented Reality (AR) system for remote collaboration that allows a remote user to navigate a local user's scene, independently from their viewpoint. This is achieved by using a 3D scan and reconstruction of the user's environment. The remote user can place virtual objects in the scene that the local user views through a head mounted display (HMD), helping them place real objects. A user study tested how the amount of remote view independence affected collaboration. We found that increased view independence led to faster task completion, more user confidence, and a decrease in verbal communication, but object placement accuracy remained unchanged.
Matthew Tait, Mark Billinghurst
ISMAR1
2013 A projected augmented reality system for remote collaboration
abstract
This paper describes an AR system for remote collaboration using a captured 3D model of the local user's scene. In the system a remote user can manipulate the scene independently of the view of the local user and add AR annotations that appear projected into the real world. Results from a pilot study and the design of a further full study are presented.
Matthew Tait, Tony Tsai, Nobuchika Sakata, Mark Billinghurst, Elina Vartiainen
ISMAR1