Hafnia Hands: A Multi-Skin Hand Texture Resource for Virtual Reality Research

TL;DR

This paper introduces Hafnia Hands, a diverse hand texture dataset for VR that enhances realism and body ownership, improving immersion in virtual environments.

Contribution

The authors developed a multi-skin hand texture resource for VR, enabling better personalization and validation of hand representations in virtual reality studies.

Findings

Textures align well with participants' perceptions of their own hands

Use of textures increases sense of body ownership in VR

Resource supports diverse skin tones and non-human hands

Abstract

We created a hand texture resource (with different skin tone versions as well as non-human hands) for use in virtual reality studies. This makes it easier to run lab and remote studies where the hand representation is matched to the participant's own skin tone. We validate that the virtual hands with our textures align with participants view of their own real hands and allow to create VR applications where participants have an increased sense of body ownership. These properties are critical for a range of VR studies, such as of immersion.