Practice-informed Patterns for Organising Large Groups in Distributed Mixed Reality Collaboration
Fuente:
arXiv
Salvato in:
| Autori principali: | , , , , |
|---|---|
| Natura: | Preprint |
| Pubblicazione: |
2024
|
| Soggetti: | |
| Accesso online: | |
| Tags: |
Aggiungi Tag
Nessun Tag, puoi essere il primo ad aggiungerne!!
|
| _version_ | 1866916241361338368 |
|---|---|
| author | Wong, Emily Esquivel, Juan Sánchez Grønbæk, Jens Emil Leiva, Germán Velloso, Eduardo |
| author_facet | Wong, Emily Esquivel, Juan Sánchez Grønbæk, Jens Emil Leiva, Germán Velloso, Eduardo |
| contents | Collaborating across dissimilar, distributed spaces presents numerous challenges for computer-aided spatial communication. Mixed reality (MR) can blend selected surfaces, allowing collaborators to work in blended f-formations (facing formations), even when their workstations are physically misaligned. Since collaboration often involves more than just participant pairs, this research examines how we might scale MR experiences for large-group collaboration. To do so, this study recruited collaboration designers (CDs) to evaluate and reimagine MR for large-scale collaboration. These CDs were engaged in a four-part user study that involved a technology probe, a semi-structured interview, a speculative low-fidelity prototyping activity and a validation session. The outcomes of this paper contribute (1) a set of collaboration design principles to inspire future computer-supported collaborative work, (2) eight collaboration patterns for blended f-formations and collaboration at scale and (3) theoretical implications for f-formations and space-place relationships. As a result, this work creates a blueprint for scaling collaboration across distributed spaces. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2405_04873 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Practice-informed Patterns for Organising Large Groups in Distributed Mixed Reality Collaboration Wong, Emily Esquivel, Juan Sánchez Grønbæk, Jens Emil Leiva, Germán Velloso, Eduardo Human-Computer Interaction Collaborating across dissimilar, distributed spaces presents numerous challenges for computer-aided spatial communication. Mixed reality (MR) can blend selected surfaces, allowing collaborators to work in blended f-formations (facing formations), even when their workstations are physically misaligned. Since collaboration often involves more than just participant pairs, this research examines how we might scale MR experiences for large-group collaboration. To do so, this study recruited collaboration designers (CDs) to evaluate and reimagine MR for large-scale collaboration. These CDs were engaged in a four-part user study that involved a technology probe, a semi-structured interview, a speculative low-fidelity prototyping activity and a validation session. The outcomes of this paper contribute (1) a set of collaboration design principles to inspire future computer-supported collaborative work, (2) eight collaboration patterns for blended f-formations and collaboration at scale and (3) theoretical implications for f-formations and space-place relationships. As a result, this work creates a blueprint for scaling collaboration across distributed spaces. |
| title | Practice-informed Patterns for Organising Large Groups in Distributed Mixed Reality Collaboration |
| topic | Human-Computer Interaction |
| url | https://arxiv.org/abs/2405.04873 |