This page shows selected publications from the last years. For a detailed list please refer to the Google Scholar or DBLP page of Stefan Schneegass.
Type of Publication: Article in Journal
Identifying Users by Their Hand Tracking Data in Augmented and Virtual Reality
- Liebers, Jonathan; Brockel, Sascha; Gruenefeld, Uwe; Schneegass, Stefan
- Title of Journal:
- International Journal of Human–Computer Interaction
- Publication Date:
- Digital Object Identifier (DOI):
- Identifying Users by Their Hand Tracking Data in Augmented and Virtual Reality (8.07 MB)
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Nowadays, Augmented and Virtual Reality devices are widely available and are often shared among users due to their high cost. Thus, distinguishing users to offer personalized experiences is essential. However, currently used explicit user authentication(e.g., entering a password) is tedious and vulnerable to attack. Therefore, this work investigates the feasibility of implicitly identifying users by their hand tracking data. In particular, we identify users by their uni- and bimanual finger behavior gathered from their interaction with eight different universal interface elements, such as buttons and sliders. In two sessions, we recorded the tracking data of 16 participants while they interacted with various interface elements in Augmented and Virtual Reality. We found that user identification is possible with up to 95 % accuracy across sessions using an explainable machine learning approach. We conclude our work by discussing differences between interface elements, and feature importance to provide implications for behavioral biometric systems.