research-article

Supporting Aim Assistance Algorithms through a Rapidly Trainable, Personalized Model of Players’ Spatial and Temporal Aiming Ability

Authors:

Adrian L. Jessup Schneider,

T.C. Nicholas GrahamAuthors Info & Claims

CHI '23: Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems

Article No.: 643, Pages 1 - 17

https://doi.org/10.1145/3544548.3581293

Published: 19 April 2023 Publication History

CHI '23: Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems

Supporting Aim Assistance Algorithms through a Rapidly Trainable, Personalized Model of Players’ Spatial and Temporal Aiming Ability

Pages 1 - 17

Abstract
Supplementary Material
References

Abstract

Multiplayer digital games can use aim assistance to help people with different levels of aiming ability to play together.

To dynamically provide each player with the right amount of assistance, an aim assistance algorithm needs a model of the player’s ability that can be measured and updated during gameplay. The model must be based on difficulty parameters such as target speed, size, and duration, that can be adjusted in-game to change aiming difficulty, and must account for player’s spatial and temporal aiming abilities.

To satisfy these requirements, we present the novel dynamic spatiotemporal model of a player’s aiming ability, based on difficulty parameters that can be manipulated in a game. In a crowdsourced experiment with 72 participants, the model was found to accurately predict how close to a target a player can aim and to converge rapidly with a small set of observations of aiming tasks.

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Cited By

Zheng YHuang JZhang HBian YLiu JYang CTian FMeng X(2025)3D Ternary-Gaussian model: Modeling pointing uncertainty of 3D moving target selection in virtual realityInternational Journal of Human-Computer Studies10.1016/j.ijhcs.2025.103454198(103454)Online publication date: Apr-2025
https://doi.org/10.1016/j.ijhcs.2025.103454
Lee DKim SNoh JLee B(2024)User Performance in Consecutive Temporal Pointing: An Exploratory StudyProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642904(1-15)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613904.3642904
Rings SSchmidt SSchmelter TBrosius MSteinicke F(2023)Gaze Assistance for Older Adults during Throwing in Virtual Reality and its Effects on Performance and MotivationProceedings of the 29th ACM Symposium on Virtual Reality Software and Technology10.1145/3611659.3615706(1-11)Online publication date: 9-Oct-2023
https://dl.acm.org/doi/10.1145/3611659.3615706

Index Terms

Supporting Aim Assistance Algorithms through a Rapidly Trainable, Personalized Model of Players’ Spatial and Temporal Aiming Ability
1. Human-centered computing
  1. Human computer interaction (HCI)
    1. HCI theory, concepts and models

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cover image ACM Conferences

CHI '23: Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems

April 2023

14911 pages

ISBN:9781450394215

DOI:10.1145/3544548

Editors:
Albrecht Schmidt
LMU Munich, Germany60028717
,
Kaisa Väänänen
Tampere University, Finland60011170
,
Tesh Goyal
Google Research, USA60006191
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Per Ola Kristensson
University of Cambridge, UK60031101
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Anicia Peters
University of Namibia, Namibia60072704
,
Stefanie Mueller
Massachusetts Institute of Technology, USA60022195
,
Julie R. Williamson
University of Glasgow, UK60001490
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Max L. Wilson
University of Nottingham, UK60015138

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Published: 19 April 2023

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Cited By

Zheng YHuang JZhang HBian YLiu JYang CTian FMeng X(2025)3D Ternary-Gaussian model: Modeling pointing uncertainty of 3D moving target selection in virtual realityInternational Journal of Human-Computer Studies10.1016/j.ijhcs.2025.103454198(103454)Online publication date: Apr-2025
https://doi.org/10.1016/j.ijhcs.2025.103454
Lee DKim SNoh JLee B(2024)User Performance in Consecutive Temporal Pointing: An Exploratory StudyProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642904(1-15)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613904.3642904
Rings SSchmidt SSchmelter TBrosius MSteinicke F(2023)Gaze Assistance for Older Adults during Throwing in Virtual Reality and its Effects on Performance and MotivationProceedings of the 29th ACM Symposium on Virtual Reality Software and Technology10.1145/3611659.3615706(1-11)Online publication date: 9-Oct-2023
https://dl.acm.org/doi/10.1145/3611659.3615706

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