Non-isomorphic Interaction Techniques for Controlling Avatar Facial Expressions in VR
summary
Paper evaluates controller-based, non-isomorphic approaches for avatar facial control and builds a working technique called EmoRayE that combines a front-facing circular menu selected with raycasting and a virtual elastic intensity control. Four selection methods (RayMoji, EmoTouch, EmoGest, EmoVoice) and five intensity mappings are tested in two controlled experiments (12 participants for the selection study) and a 10-minute ecological study. Gesture and voice methods show higher error rates and worse rankings; final system scores SUS 80 and is rated usable in social VR.
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