TY - GEN
T1 - RoboticTerritories
T2 - ACM conference on Designing Interactive Systems, DIS 2026
AU - Kenny, Joseph Clair
AU - Bourgault, Samuelle
AU - Mitterberger, Daniela
N1 - Publisher Copyright:
© 2026 Copyright held by the owner/author(s).
PY - 2026/6/12
Y1 - 2026/6/12
N2 - Large-scale assembly through human-robot collaboration (HRC) is increasingly explored in architecture, engineering, and construction. However, prior research in HRC has primarily examined interaction scenarios for tabletop assembly. As a result, we lack task-level insight into how different levels of automation and user interaction shape workflows and user experience in large-scale assembly. To address this gap, we present RoboticTerritories, a phone-based Augmented Reality system for human-robot block assembly that supports three interaction modes: Inference, Mimic, and Realtime Mimic. Each mode offers distinct automated functionalities and user-defined control across stages of a pick-and-place assembly process. We evaluate RoboticTerritories through a formative study (n = 8) and a within-subject study (n = 12) to identify the opportunities and limitations of each interaction mode. Our results show that varying levels of automation provide complementary benefits by supporting different forms of efficiency across modes, indicating a need for multimodal HRC workflows for large-scale assembly.
AB - Large-scale assembly through human-robot collaboration (HRC) is increasingly explored in architecture, engineering, and construction. However, prior research in HRC has primarily examined interaction scenarios for tabletop assembly. As a result, we lack task-level insight into how different levels of automation and user interaction shape workflows and user experience in large-scale assembly. To address this gap, we present RoboticTerritories, a phone-based Augmented Reality system for human-robot block assembly that supports three interaction modes: Inference, Mimic, and Realtime Mimic. Each mode offers distinct automated functionalities and user-defined control across stages of a pick-and-place assembly process. We evaluate RoboticTerritories through a formative study (n = 8) and a within-subject study (n = 12) to identify the opportunities and limitations of each interaction mode. Our results show that varying levels of automation provide complementary benefits by supporting different forms of efficiency across modes, indicating a need for multimodal HRC workflows for large-scale assembly.
KW - Augmented Reality
KW - Embodied Interaction
KW - Human-Robot Collaboration
KW - Large-Scale Assembly
KW - Robot Programming
UR - https://www.scopus.com/pages/publications/105042744558
UR - https://www.scopus.com/pages/publications/105042744558#tab=citedBy
U2 - 10.1145/3800645.3812995
DO - 10.1145/3800645.3812995
M3 - Conference contribution
AN - SCOPUS:105042744558
T3 - DIS 2026 - Proceedngs of the 2026 ACM Designing Interactive Systems Conference
SP - 2804
EP - 2828
BT - DIS 2026 - Proceedngs of the 2026 ACM Designing Interactive Systems Conference
A2 - Yen, Ching Chiuan
A2 - Lee, Jung-Joo
A2 - Do, Ellen Yi-Luen
A2 - Zheng, Clement
A2 - Yoo, Daisy
A2 - Tang, Tony
PB - Association for Computing Machinery, Inc
Y2 - 13 June 2026 through 17 June 2026
ER -