AUTHOR=Rack Christian , Fernando Tamara , Yalcin Murat , Hotho Andreas , Latoschik Marc Erich 

TITLE=Who is Alyx? A new behavioral biometric dataset for user identification in XR

JOURNAL=Frontiers in Virtual Reality

VOLUME=4

YEAR=2023

URL=https://www.frontiersin.org/journals/virtual-reality/articles/10.3389/frvir.2023.1272234

DOI=10.3389/frvir.2023.1272234

ISSN=2673-4192

ABSTRACT=<p><bold>Introduction:</bold> This paper addresses the need for reliable user identification in Extended Reality (XR), focusing on the scarcity of public datasets in this area.</p><p><bold>Methods:</bold> We present a new dataset collected from 71 users who played the game “Half-Life: Alyx” on an HTC Vive Pro for 45 min across two separate sessions. The dataset includes motion and eye-tracking data, along with physiological data from a subset of 31 users. Benchmark performance is established using two state-of-the-art deep learning architectures, Convolutional Neural Networks (CNN) and Gated Recurrent Units (GRU).</p><p><bold>Results:</bold> The best model achieved a mean accuracy of 95% for user identification within 2 min when trained on the first session and tested on the second.</p><p><bold>Discussion:</bold> The dataset is freely available and serves as a resource for future research in XR user identification, thereby addressing a significant gap in the field. Its release aims to facilitate advancements in user identification methods and promote reproducibility in XR research.</p>