Journal
2021 IEEE VIRTUAL REALITY AND 3D USER INTERFACES (VR)
Volume -, Issue -, Pages 455-462Publisher
IEEE COMPUTER SOC
DOI: 10.1109/VR50410.2021.00069
Keywords
Human-centered computing; Empirical studies in HCI; Human-centered computing; Virtual reality
Categories
Funding
- European Research Council (ERC) under the European Union [648785]
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Learning to move hands in specific ways is crucial in virtual reality applications, but challenging. Correcting the avatar's hand movement can improve short-term retention of target movement.
Learning to move the hands in particular ways is essential in many training and leisure virtual reality applications, yet challenging. Existing techniques that support learning of motor movement in virtual reality rely on external cues such as arrows showing where to move or transparent hands showing the target movement. We propose a technique where the avatar's hand movement is corrected to be closer to the target movement. This embeds guidance in the user's avatar, instead of in external cues and minimizes visual distraction. Through two experiments, we found that such movement guidance improves the short-term retention of the target movement when compared to a control condition without guidance.
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