A Framework for Power Dynamics in AR/MR-Aided Design Collaboration

Visualization technologies like AR/MR have transformed traditional design collaboration, significantly impacting power dynamics and conflicting interests among stakeholders. However, there is currently no comprehensive mapping of how AR/MR technologies intersect with power dynamics. Therefore, we propose a framework to examine power structures and influences in AR/MR-aided design collaboration, providing insights into how control and decision-making processes unfold. This framework helps researchers understand how AR/MR technologies affect the negotiation of design outcomes and interpersonal relationships in collaborative settings.

Authors

Institutions

Publication Details

Published
2024-12-15
DOI
https://doi.org/10.1109/ieem62345.2024.10857213
Citations
1
Primary Topic
Design Education and Practice
Type
article
Field-Weighted Citation Impact
0.21

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A Framework for Power Dynamics in AR/MR-Aided Design Collaboration

Xu Yue, Henry Been‐Lirn Duh, Gao Weiyue
1 citations
Design Education and Practice
0.21
article

A Framework for Power Dynamics in AR/MR-Aided Design Collaboration

Xu Yue, Henry Been‐Lirn Duh, Gao Weiyue
article en
1 citations

Abstract

Visualization technologies like AR/MR have transformed traditional design collaboration, significantly impacting power dynamics and conflicting interests among stakeholders. However, there is currently no comprehensive mapping of how AR/MR technologies intersect with power dynamics. Therefore, we propose a framework to examine power structures and influences in AR/MR-aided design collaboration, providing insights into how control and decision-making processes unfold. This framework helps researchers understand how AR/MR technologies affect the negotiation of design outcomes and interpersonal relationships in collaborative settings.

Hong Kong Polytechnic University (HK)
Hong Kong Polytechnic University
Industry, innovation and infrastructure
Openalex Percentile: Top 48%
Design Education and Practice
0.21
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.