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The Impact of Motion and Delay on Selecting Game Targets with a Mouse

Published: 21 June 2020 Publication History

Abstract

All real-time computer games, particularly networked computer games, have a delay from when a player starts an action (e.g., clicking the mouse) until the game renders the result (e.g., firing a projectile). This delay can degrade both player performance (e.g., reduced game score) and quality of experience (e.g., the game is less fun). While previous work has studied the effects of delay on commercial games and individual game actions, a more detailed understanding is needed of the effects of delay on moving target selection with realistic target motion, a common scenario in many games. This paper presents an in-depth study of the effects of delay on the fundamental game action of selecting a moving target with a mouse while varying two parameters for the target motion – turn frequency and turn angle. We design and implement a custom game where players select moving targets using a mouse, while the game controls both the target motion and input delay. Analysis of data gathered in a 56-person user study shows both target selection time and accuracy degrade with delay. However, both selection time and accuracy increase with the frequency and angle of changes in the target’s movement, because turning slows targets down even while making them less predictable. We set these results in the context of other studies of delay and target selection by comparing our findings to those in seven other previously published papers that investigated the effects of delay on target selection.

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Cited By

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  • (2024)The Interplay Between Delay and Device in a Moving Target Selection Game2024 IEEE Conference on Games (CoG)10.1109/CoG60054.2024.10645564(1-8)Online publication date: 5-Aug-2024
  • (2023)Understanding the Effects of Perceived Avatar Appearance on Latency Sensitivity in Full-Body Motion-Tracked Virtual RealityProceedings of Mensch und Computer 202310.1145/3603555.3603580(1-15)Online publication date: 3-Sep-2023
  • (2023)Deep Reinforcement Learning Model Design and Transmission for Network Delay Compensation in 3D Online Shooting Game2023 IEEE 20th Consumer Communications & Networking Conference (CCNC)10.1109/CCNC51644.2023.10060183(200-205)Online publication date: 8-Jan-2023
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Published In

cover image ACM Transactions on Multimedia Computing, Communications, and Applications
ACM Transactions on Multimedia Computing, Communications, and Applications  Volume 16, Issue 2s
Special Issue on Smart Communications and Networking for Future Video Surveillance and Special Section on Extended MMSYS-NOSSDAV 2019 Best Papers
April 2020
291 pages
ISSN:1551-6857
EISSN:1551-6865
DOI:10.1145/3407689
Issue’s Table of Contents
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 21 June 2020
Online AM: 07 May 2020
Accepted: 01 March 2020
Revised: 01 February 2020
Received: 01 December 2019
Published in TOMM Volume 16, Issue 2s

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Author Tags

  1. Lag
  2. target selection
  3. user study

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Cited By

View all
  • (2024)The Interplay Between Delay and Device in a Moving Target Selection Game2024 IEEE Conference on Games (CoG)10.1109/CoG60054.2024.10645564(1-8)Online publication date: 5-Aug-2024
  • (2023)Understanding the Effects of Perceived Avatar Appearance on Latency Sensitivity in Full-Body Motion-Tracked Virtual RealityProceedings of Mensch und Computer 202310.1145/3603555.3603580(1-15)Online publication date: 3-Sep-2023
  • (2023)Deep Reinforcement Learning Model Design and Transmission for Network Delay Compensation in 3D Online Shooting Game2023 IEEE 20th Consumer Communications & Networking Conference (CCNC)10.1109/CCNC51644.2023.10060183(200-205)Online publication date: 8-Jan-2023
  • (2023)The effects of mouse weight and connection type on performance, muscle activity, and preferences among professional gamersInternational Journal of Industrial Ergonomics10.1016/j.ergon.2023.10349397(103493)Online publication date: Sep-2023
  • (2022)The Impact of Latency on Navigation in a First-Person Perspective GameProceedings of the 2022 CHI Conference on Human Factors in Computing Systems10.1145/3491102.3517660(1-11)Online publication date: 29-Apr-2022
  • (2021)Client-Side Network Delay Compensation for Online Shooting GamesIEEE Access10.1109/ACCESS.2021.31111809(125678-125690)Online publication date: 2021

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