Practice-informed Paterns for Organising Large Groups in Distributed Mixed Reality Collaboration

TY - GEN

T1 - Practice-informed Paterns for Organising Large Groups in Distributed Mixed Reality Collaboration

AU - Wong, Emily

AU - Esquivel, Juan Sánchez

AU - Leiva, Germán

AU - Grønbæk, Jens Emil

AU - Velloso, Eduardo

N1 - Publisher Copyright: © 2024 Copyright held by the owner/author(s)

PY - 2024/5

Y1 - 2024/5

N2 - 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.

AB - 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.

KW - collaboration

KW - f-formations

KW - mixed reality

KW - place

KW - scale

KW - space

UR - http://www.scopus.com/inward/record.url?scp=85194839430&partnerID=8YFLogxK

U2 - 10.1145/3613904.3642502

DO - 10.1145/3613904.3642502

M3 - Article in proceedings

AN - SCOPUS:85194839430

BT - CHI 2024 - Proceedings of the 2024 CHI Conference on Human Factors in Computing Sytems

PB - Association for Computing Machinery, Inc.

T2 - 2024 CHI Conference on Human Factors in Computing Sytems, CHI 2024

Y2 - 11 May 2024 through 16 May 2024

ER -