Work

Mixing and Matching: Instruction Conveyance for Collaborative Tasks Using Asymmetric Augmented Reality Setups

Year: 2025

Type: conference-paper

Source: IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW)

DOI: 10.1109/vrw66409.2025.00215

Authors: Dilara Aygün, Aimée Sousa Calepso, Xiliu Yang, Achim Menges, Michael Sedlmair

Institution: University of Stuttgart

Language: English

Topic: Augmented Reality Applications

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

Funder: Deutsche Forschungsgemeinschaft

OpenAlex ID: W4409763014

FWCI: 3.426

Cites: 31

Cited by: 4

Related to: 10