Proceedings of the 33rd Annual ACM Symposium on User Interface Software and Technology 2020
DOI: 10.1145/3379337.3415832
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Iteratively Adapting Avatars using Task-Integrated Optimisation

Abstract: Figure 1: (a) A person (b) embodies an avatar in VR that matches their morphology; however, many non-matching avatars could be better for the given task. (c) Our approach iteratively adapts the avatar to optimise the user's task performance. (d) Here, it produces an avatar with longer arms, helping the user reach a set of targets.

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Cited by 13 publications
(15 citation statements)
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References 31 publications
(57 reference statements)
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“…For example, Ninja Hands maps the movement of a single hand to multiple hands to ease distant target selection [135]. Another paper iteratively adjusts the length, and therefore range of motion, of the avatar's forearms and fingers to achieve better performance on specific tasks [96]. Note that users may perceive space scaling transformations as body scaling and a form of alternate morphology.…”
Section: Bodymentioning
confidence: 99%
“…For example, Ninja Hands maps the movement of a single hand to multiple hands to ease distant target selection [135]. Another paper iteratively adjusts the length, and therefore range of motion, of the avatar's forearms and fingers to achieve better performance on specific tasks [96]. Note that users may perceive space scaling transformations as body scaling and a form of alternate morphology.…”
Section: Bodymentioning
confidence: 99%
“…One of the most widespread applications is input augmentation. Researchers leveraged the modified movement to change the movement speed or the arm length [8,24,29,37,59]. The Go-Go [37] technique extends the position of the hand in-depth non-linearly, enabling users to interact with objects beyond reach.…”
Section: Modifying the Virtual Motionmentioning
confidence: 99%
“…As previous studies explored the effect of scaling the lengths of the upper arm and the forearm on embodiment [29,59], we focus on how rotational changes at the shoulder joint and the elbow joint affect the sense of body ownership. We thus employed the spherical polar coordinate system, which defines the position of a point with its distance to the origin 𝑟 , its polar angle 𝜃 , and its azimuthal angle 𝜙, instead of the Cartesian coordinate system, which represents a point in space with a triplet (𝑥, 𝑦, 𝑧).…”
Section: Defining An Arm Posementioning
confidence: 99%
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