research-article

Scenario generation for emergency rescue training games

Authors:

Kenneth Hullett,

Michael MateasAuthors Info & Claims

FDG '09: Proceedings of the 4th International Conference on Foundations of Digital Games

Pages 99 - 106

https://doi.org/10.1145/1536513.1536538

Published: 26 April 2009 Publication History

Abstract

Procedural methods have long been used for generation of art assets, but procedural generation of scenarios has lagged behind. In particular, training games for emergency rescue workers would benefit from procedural scenario generation guided by pedagogical goals. In such a game, users could select what skills they wish to train for, and the system would generate a unique level containing the elements necessary to train those skills. In this paper, we present a system that uses HTN planning to generate collapsed structure training scenarios that are both internally consistent and allow the user to train for the desired goals.

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Cited By

Agarwal JShridevi S(2023)Procedural Content Generation Using Reinforcement Learning for Disaster Evacuation Training in a Virtual 3D EnvironmentIEEE Access10.1109/ACCESS.2023.331372511(98607-98617)Online publication date: 2023
https://doi.org/10.1109/ACCESS.2023.3313725
de Rosa FEscott MHavron DWalkes DMeyers L(2023)The C3C Game: Serious Games and Community-Centered Design for Improved Pandemic Decision MakingGames and Learning Alliance10.1007/978-3-031-49065-1_14(139-149)Online publication date: 29-Nov-2023
https://doi.org/10.1007/978-3-031-49065-1_14
Ning HPi ZWang WFarha FYang S(2022)A Review on Serious Games for Disaster Relief2022 4th International Conference on Data Intelligence and Security (ICDIS)10.1109/ICDIS55630.2022.00068(408-414)Online publication date: Aug-2022
https://doi.org/10.1109/ICDIS55630.2022.00068
Show More Cited By

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cover image ACM Other conferences

FDG '09: Proceedings of the 4th International Conference on Foundations of Digital Games

April 2009

386 pages

ISBN:9781605584379

DOI:10.1145/1536513

Conference Chair:
Jim Whitehead
UC Santa Cruz
,
Program Chair:
R. Michael Young
North Carolina State University

Copyright © 2009 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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SASDG: The Society for the Advancement of the Science of Digital Games

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 26 April 2009

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FDG '09

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SASDG

FDG '09: International Conference on the Foundations of Digital Games

April 26 - 30, 2009

Florida, Orlando

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Overall Acceptance Rate 152 of 415 submissions, 37%

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Cited By

Agarwal JShridevi S(2023)Procedural Content Generation Using Reinforcement Learning for Disaster Evacuation Training in a Virtual 3D EnvironmentIEEE Access10.1109/ACCESS.2023.331372511(98607-98617)Online publication date: 2023
https://doi.org/10.1109/ACCESS.2023.3313725
de Rosa FEscott MHavron DWalkes DMeyers L(2023)The C3C Game: Serious Games and Community-Centered Design for Improved Pandemic Decision MakingGames and Learning Alliance10.1007/978-3-031-49065-1_14(139-149)Online publication date: 29-Nov-2023
https://doi.org/10.1007/978-3-031-49065-1_14
Ning HPi ZWang WFarha FYang S(2022)A Review on Serious Games for Disaster Relief2022 4th International Conference on Data Intelligence and Security (ICDIS)10.1109/ICDIS55630.2022.00068(408-414)Online publication date: Aug-2022
https://doi.org/10.1109/ICDIS55630.2022.00068
Wen MPark JSung YPark YCho K(2021)Virtual Scenario Simulation and Modeling Framework in Autonomous Driving SimulatorsElectronics10.3390/electronics1006069410:6(694)Online publication date: 16-Mar-2021
https://doi.org/10.3390/electronics10060694
Mazumdar AMousas C(2021)Synthesizing affective virtual reality multicharacter experiencesComputer Animation and Virtual Worlds10.1002/cav.200432:3-4Online publication date: 24-May-2021
https://doi.org/10.1002/cav.2004
Wen MPark JCho K(2020)A scenario generation pipeline for autonomous vehicle simulatorsHuman-centric Computing and Information Sciences10.1186/s13673-020-00231-z10:1Online publication date: 3-Jun-2020
https://doi.org/10.1186/s13673-020-00231-z
Hooshyar DYousefi MWang MLim H(2018)A data‐driven procedural‐content‐generation approach for educational gamesJournal of Computer Assisted Learning10.1111/jcal.1228034:6(731-739)Online publication date: 7-Jun-2018
https://doi.org/10.1111/jcal.12280
Hooshyar DYousefi MLim H(2017)A Procedural Content Generation-Based Framework for Educational Games: Toward a Tailored Data-Driven Game for Developing Early English Reading SkillsJournal of Educational Computing Research10.1177/073563311770690956:2(293-310)Online publication date: 17-May-2017
https://doi.org/10.1177/0735633117706909
Praiwattana PRhalibi A(2016)Scenario Generation with Cellular Automaton for Game-Based Crisis Simulation System2016 9th International Conference on Developments in eSystems Engineering (DeSE)10.1109/DeSE.2016.26(157-162)Online publication date: Aug-2016
https://doi.org/10.1109/DeSE.2016.26
Dey RKonert J(2016)Content Generation for Serious GamesEntertainment Computing and Serious Games10.1007/978-3-319-46152-6_8(174-188)Online publication date: 6-Oct-2016
https://doi.org/10.1007/978-3-319-46152-6_8
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