VLDB 2026 Research / reviewers in the wild / expert
Matthew Tait
dblp:140/9529
· DBLP profile ↗
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
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2024 | Towards Explainable Weather Forecasting Through FastLAS
Talissa Dreossi, Agostino Dovier, Andrea Formisano 0001, Mark Law, Agostino Manzato, Alessandra Russo, Matthew Tait |
LPNMR | 7 |
| 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 ARabstractThis 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 |
ISMAR | 1 |
| 2013 | A projected augmented reality system for remote collaborationabstractThis 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 |
ISMAR | 1 |