Juggling Extra Limbs: Identifying Control Strategies for Supernumerary Multi-Arms in Virtual Reality

要旨

Using supernumerary multi-limbs for complex tasks is a growing research focus in Virtual Reality (VR) and robotics. Understanding how users integrate extra limbs with their own to achieve shared goals is crucial for developing efficient supernumeraries. This paper presents an exploratory user study (N=14) investigating strategies for controlling virtual supernumerary limbs with varying autonomy levels in VR object manipulation tasks. Using a Wizard-of-Oz approach to simulate semi-autonomous limbs, we collected both qualitative and quantitative data. Results show participants adapted control strategies based on task complexity and system autonomy, affecting task delegation, coordination, and body ownership. Based on these findings, we propose guidelines—commands, demonstration, delegation, and labeling instructions—to improve multi-limb interaction design by adapting autonomy to user needs and fostering better context-aware experiences.

受賞
Honorable Mention
著者
Hongyu Zhou
The University of Sydney, Sydney, NSW, Australia
Tom Kip
The University of Sydney, Sydney, NSW, Australia
Yihao Dong
The University of Sydney, Camperdown, NSW, Australia
Andrea Bianchi
KAIST, Daejeon, Korea, Republic of
Zhanna Sarsenbayeva
The University of Sydney, Sydney, NSW, Australia
Anusha Withana
The University of Sydney, Sydney, NSW, Australia
DOI

10.1145/3706598.3713647

論文URL

https://dl.acm.org/doi/10.1145/3706598.3713647

動画

会議: CHI 2025

The ACM CHI Conference on Human Factors in Computing Systems (https://chi2025.acm.org/)

セッション: Virtual and Mixed Reality Interaction

Annex Hall F204
7 件の発表
2025-04-30 23:10:00
2025-05-01 00:40:00
日本語まとめ
読み込み中…