Corrections to “Predicting the Quality of Spatial Learning via Virtual Global Landmarks”

Author:

Liu Jia1,Singh Avinash Kumar1ORCID,Lin Chin-Teng1ORCID

Affiliation:

1. CIBCI Center, Faculty of Engineering and Information Technology, School of Computer Science, Australian AI Institute, University of Technology Sydney, Sydney, NSW, Australia

Funder

Australian Research Council (ARC) under Discovery

Australia Defence Innovation Hub

Australian Cooperative Research Centres Projects (CRC-P) Round 11

U.S. Office of Naval Research Global through Cooperative Agreement

Air Force Asian Office of Aerospace Research and Development (AOARD) and Defence Science and Technology (DST)-Australian Autonomy Initiative Agreement

New South Wales (NSW) Defence Innovation Network

NSW State Government of Australia

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Biomedical Engineering,General Neuroscience,Internal Medicine,Rehabilitation

Reference3 articles.

1. Redesigning navigational aids using virtual global landmarks to improve spatial knowledge retrieval

2. Virtual global landmark: An augmented reality technique to improve spatial navigation learning;singh;Proc Extended Abstr CHI Conf Hum Factors Comput Syst,2021

3. Predicting the Quality of Spatial Learning via Virtual Global Landmarks

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