Manipulating a non-humanoid body using a mapping approach that translates human body activity into different structural movements enables users to perform tasks that are difficult with their innate bodies. However, a key challenge is how to design an effective mapping to control non-analogous body parts with the human body. To address this challenge, we designed an articulated virtual arm and investigated the effect of mapping methods on a user's manipulation experience. Specifically, we developed an unbranched 12-joint virtual arm with an octopus-like appearance. Using this arm, we conducted a user study to compare the effects of several mapping methods with different arrangements on task performance and subjective evaluations of embodiment and user preference. As a result, we identified three important factors in mapping: "Visual and Configurational Similarity", "Kinematics Suitability for the User", and "Correspondence with Everyday Actions." Based on these findings, we discuss a mapping design for non-humanoid body manipulation.
https://doi.org/10.1145/3613904.3642340
The ACM CHI Conference on Human Factors in Computing Systems (https://chi2024.acm.org/)