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Visual analysis of eye gazes to assist strategic planning in computer games

Authors:

Klaus MuellerAuthors Info & Claims

ETVIS '18: Proceedings of the 3rd Workshop on Eye Tracking and Visualization

Article No.: 6, Pages 1 - 5

https://doi.org/10.1145/3205929.3205935

Published: 15 June 2018 Publication History

Abstract

This work studies the use of a conventional eye tracking system for analysis of an online game player's thinking processes. For this purpose, the eye gaze data of several users playing a simple online turn-based checkers game were recorded and made available in real-time to gaze-informed players. The motivation behind this work is to determine if making the eye-gaze data available can help these players to predict the gaze-tracked opponent player's further moves, and also how this can be most effectively done. We also tested different orientations of the screen on which the gaze data were displayed. By our visual and algorithmic analysis we validated (1) that prediction is possible and (2) that accuracy highly depends on the moves of players throughout the game as well as on the screen orientation. We believe that our study has implications on visual problem solving in general, especially in collaborative scenarios.

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Digital Library

Cited By

Atweh JRiggs S(2024)Gaze Sharing, a Double-Edged Sword: Examining the Effect of Real-Time Gaze Sharing Visualizations on Team Performance and Situation AwarenessHuman Factors: The Journal of the Human Factors and Ergonomics Society10.1177/00187208241272060Online publication date: 19-Aug-2024
https://doi.org/10.1177/00187208241272060
Nugroho MAbdurohman MErfianto BSulistiyo M(2024)Meticulous Acquisition System for Tracking User’s Natural Kinetics (MAS TUNK): An Approach in Eye Tracking Dataset Collection for Neural Network TrainingProceedings of the 2024 Symposium on Eye Tracking Research and Applications10.1145/3649902.3653941(1-8)Online publication date: 4-Jun-2024
https://dl.acm.org/doi/10.1145/3649902.3653941
Kumar AMohanty DKurzhals KBeck FWeiskopf DMueller K(2020)Demo of the EyeSAC System for Visual Synchronization, Cleaning, and Annotation of Eye Movement DataACM Symposium on Eye Tracking Research and Applications10.1145/3379157.3391988(1-3)Online publication date: 2-Jun-2020
https://dl.acm.org/doi/10.1145/3379157.3391988
Show More Cited By

Index Terms

Visual analysis of eye gazes to assist strategic planning in computer games
1. Computer systems organization
  1. Dependable and fault-tolerant systems and networks
    1. Redundancy
  2. Embedded and cyber-physical systems
    1. Embedded systems
    2. Robotics
2. Networks
  1. Network properties
    1. Network reliability

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Published In

cover image ACM Conferences

ETVIS '18: Proceedings of the 3rd Workshop on Eye Tracking and Visualization

June 2018

57 pages

ISBN:9781450357876

DOI:10.1145/3205929

General Chairs:
Lewis Chuang
MPI for Biological Cybernetics, Tübingen, Germany
,
Michael Burch
Technische Universiteit Eindhoven, Netherlands
,
Kuno Kurzhals
Universität Stuttgart, Germany

Copyright © 2018 ACM.

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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Publication History

Published: 15 June 2018

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MSIT (Ministry of Science and ICT), Korea
NSF

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ETRA '18

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ETRA '18: 2018 Symposium on Eye Tracking Research and Applications

June 15, 2018

Warsaw, Poland

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Cited By

Atweh JRiggs S(2024)Gaze Sharing, a Double-Edged Sword: Examining the Effect of Real-Time Gaze Sharing Visualizations on Team Performance and Situation AwarenessHuman Factors: The Journal of the Human Factors and Ergonomics Society10.1177/00187208241272060Online publication date: 19-Aug-2024
https://doi.org/10.1177/00187208241272060
Nugroho MAbdurohman MErfianto BSulistiyo M(2024)Meticulous Acquisition System for Tracking User’s Natural Kinetics (MAS TUNK): An Approach in Eye Tracking Dataset Collection for Neural Network TrainingProceedings of the 2024 Symposium on Eye Tracking Research and Applications10.1145/3649902.3653941(1-8)Online publication date: 4-Jun-2024
https://dl.acm.org/doi/10.1145/3649902.3653941
Kumar AMohanty DKurzhals KBeck FWeiskopf DMueller K(2020)Demo of the EyeSAC System for Visual Synchronization, Cleaning, and Annotation of Eye Movement DataACM Symposium on Eye Tracking Research and Applications10.1145/3379157.3391988(1-3)Online publication date: 2-Jun-2020
https://dl.acm.org/doi/10.1145/3379157.3391988
Burch MKurzhals K(2020)Visual Analysis of Eye Movements During Game PlayACM Symposium on Eye Tracking Research and Applications10.1145/3379156.3391839(1-5)Online publication date: 2-Jun-2020
https://dl.acm.org/doi/10.1145/3379156.3391839
Špakov OIstance HRäihä KViitanen TSiirtola HKrejtz KSharif B(2019)Eye gaze and head gaze in collaborative gamesProceedings of the 11th ACM Symposium on Eye Tracking Research & Applications10.1145/3317959.3321489(1-9)Online publication date: 25-Jun-2019
https://dl.acm.org/doi/10.1145/3317959.3321489

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