Correction of Avatar Hand Movements Supports Learning of a Motor Skill

Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

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.
Titel2021 IEEE Virtual Reality and 3D User Interfaces (VR)
StatusUdgivet - 2021

Antal downloads er baseret på statistik fra Google Scholar og

Ingen data tilgængelig

ID: 259779501