Iteratively Adapting Avatars using Task-Integrated Optimisation

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

Standard

Iteratively Adapting Avatars using Task-Integrated Optimisation. / McIntosh, Jess; Zajac, Hubert Dariusz; Stefan, Andreea; Bergström, Joanna; Hornbæk, Kasper.

Proceedings of the 33rd Annual ACM Symposium on User Interface Software and Technology. 1. ed. https://dl.acm.org/doi/abs/10.1145/3379337.3415832 : Association for Computing Machinery, 2020. p. 709–721.

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

Harvard

McIntosh, J, Zajac, HD, Stefan, A, Bergström, J & Hornbæk, K 2020, Iteratively Adapting Avatars using Task-Integrated Optimisation. in Proceedings of the 33rd Annual ACM Symposium on User Interface Software and Technology. 1 edn, Association for Computing Machinery, https://dl.acm.org/doi/abs/10.1145/3379337.3415832, pp. 709–721, 3rd Annual ACM Symposium on User Interface Software and Technology - UIST' 20, Virtuel Event, United States, 20/10/2020. https://doi.org/10.1145/3379337.3415832

APA

McIntosh, J., Zajac, H. D., Stefan, A., Bergström, J., & Hornbæk, K. (2020). Iteratively Adapting Avatars using Task-Integrated Optimisation. In Proceedings of the 33rd Annual ACM Symposium on User Interface Software and Technology (1 ed., pp. 709–721). Association for Computing Machinery. https://doi.org/10.1145/3379337.3415832

Vancouver

McIntosh J, Zajac HD, Stefan A, Bergström J, Hornbæk K. Iteratively Adapting Avatars using Task-Integrated Optimisation. In Proceedings of the 33rd Annual ACM Symposium on User Interface Software and Technology. 1 ed. https://dl.acm.org/doi/abs/10.1145/3379337.3415832: Association for Computing Machinery. 2020. p. 709–721 https://doi.org/10.1145/3379337.3415832

Author

McIntosh, Jess ; Zajac, Hubert Dariusz ; Stefan, Andreea ; Bergström, Joanna ; Hornbæk, Kasper. / Iteratively Adapting Avatars using Task-Integrated Optimisation. Proceedings of the 33rd Annual ACM Symposium on User Interface Software and Technology. 1. ed. https://dl.acm.org/doi/abs/10.1145/3379337.3415832 : Association for Computing Machinery, 2020. pp. 709–721

Bibtex

@inproceedings{a7c903bf92ed4da4a1f2b3a5a4be6679,
title = "Iteratively Adapting Avatars using Task-Integrated Optimisation",
abstract = "Virtual Reality allows users to embody avatars that do not match their real bodies. Earlier work has selected changes to the avatar arbitrarily and it therefore remains unclear how to change avatars to improve users' performance. We propose a systematic approach for iteratively adapting the avatar to perform better for a given task based on users' performance. The approach is evaluated in a target selection task, where the forearms of the avatar are scaled to improve performance. A comparison between the optimised and real arm lengths shows a significant reduction in average tapping time by 18.7%, for forearms multiplied in length by 5.6. Additionally, with the adapted avatar, participants moved their real body and arms significantly less, and subjective measures show reduced physical demand and frustration. In a second study, we modify finger lengths for a linear tapping task to achieve a better performing avatar, which demonstrates the generalisability of the approach.",
author = "Jess McIntosh and Zajac, {Hubert Dariusz} and Andreea Stefan and Joanna Bergstr{\"o}m and Kasper Hornb{\ae}k",
year = "2020",
month = oct,
day = "1",
doi = "10.1145/3379337.3415832",
language = "English",
isbn = "978-1-4503-7514-6",
pages = "709–721",
booktitle = "Proceedings of the 33rd Annual ACM Symposium on User Interface Software and Technology",
publisher = "Association for Computing Machinery",
edition = "1",
note = "3rd Annual ACM Symposium on User Interface Software and Technology - UIST' 20 ; Conference date: 20-10-2020 Through 23-10-2020",

}

RIS

TY - GEN

T1 - Iteratively Adapting Avatars using Task-Integrated Optimisation

AU - McIntosh, Jess

AU - Zajac, Hubert Dariusz

AU - Stefan, Andreea

AU - Bergström, Joanna

AU - Hornbæk, Kasper

PY - 2020/10/1

Y1 - 2020/10/1

N2 - Virtual Reality allows users to embody avatars that do not match their real bodies. Earlier work has selected changes to the avatar arbitrarily and it therefore remains unclear how to change avatars to improve users' performance. We propose a systematic approach for iteratively adapting the avatar to perform better for a given task based on users' performance. The approach is evaluated in a target selection task, where the forearms of the avatar are scaled to improve performance. A comparison between the optimised and real arm lengths shows a significant reduction in average tapping time by 18.7%, for forearms multiplied in length by 5.6. Additionally, with the adapted avatar, participants moved their real body and arms significantly less, and subjective measures show reduced physical demand and frustration. In a second study, we modify finger lengths for a linear tapping task to achieve a better performing avatar, which demonstrates the generalisability of the approach.

AB - Virtual Reality allows users to embody avatars that do not match their real bodies. Earlier work has selected changes to the avatar arbitrarily and it therefore remains unclear how to change avatars to improve users' performance. We propose a systematic approach for iteratively adapting the avatar to perform better for a given task based on users' performance. The approach is evaluated in a target selection task, where the forearms of the avatar are scaled to improve performance. A comparison between the optimised and real arm lengths shows a significant reduction in average tapping time by 18.7%, for forearms multiplied in length by 5.6. Additionally, with the adapted avatar, participants moved their real body and arms significantly less, and subjective measures show reduced physical demand and frustration. In a second study, we modify finger lengths for a linear tapping task to achieve a better performing avatar, which demonstrates the generalisability of the approach.

U2 - 10.1145/3379337.3415832

DO - 10.1145/3379337.3415832

M3 - Article in proceedings

SN - 978-1-4503-7514-6

SP - 709

EP - 721

BT - Proceedings of the 33rd Annual ACM Symposium on User Interface Software and Technology

PB - Association for Computing Machinery

CY - https://dl.acm.org/doi/abs/10.1145/3379337.3415832

T2 - 3rd Annual ACM Symposium on User Interface Software and Technology - UIST' 20

Y2 - 20 October 2020 through 23 October 2020

ER -

ID: 253030789