A review of interactive narrative systems and technologies: a training perspective
Luo, Linbo, Cai, Wentong, Zhou, Suiping 
ORCID: https://orcid.org/0000-0002-9920-266X, Lees, Michael and Yin, Haiyan
(2015)
A review of interactive narrative systems and technologies: a training perspective.
Simulation: Transactions of The Society for Modeling and Computer Simulation International, 91
(2)
.
pp. 126-147.
ISSN 0037-5497
[Article]
(doi:10.1177/0037549714566722)
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Abstract
As an emerging form of digital entertainment, interactive narrative has attracted great attention of researchers over the past decade. Recently, there is an emerging trend to apply interactive narrative for training and simulation. An interactive narrative system allows players to proactively interact with simulated entities in a virtual world and have the ability to alter the progression of a storyline. In simulation-based training, the use of an interactive narrative system enables the possibility to offer engaging, diverse and personalized narratives or scenarios for different training purposes. This paper provides a review of interactive narrative systems and technologies from a training perspective. Specifically, we first propose a set of key requirements in developing interactive narrative systems for simulation-based training. Then we review nine representative existing systems with respect to their system architectures, features and related mechanisms. To examine their applicability to training, we investigate and compare the reviewed systems based on the functionalities and modules that support the proposed requirements. Furthermore, we discuss some open research issues on future development of interactive narrative technologies for training applications.
| Item Type: | Article |
|---|---|
| Additional Information: | Published online before print February 10, 2015 |
| Keywords (uncontrolled): | Interactive narrative, human-in-the-loop simulation, training, intelligent agents |
| Research Areas: | A. > School of Science and Technology > Computer Science |
| Item ID: | 17557 |
| Useful Links: | |
| Depositing User: | Suiping Zhou |
| Date Deposited: | 18 Sep 2015 10:06 |
| Last Modified: | 29 Nov 2022 23:01 |
| URI: | https://eprints.mdx.ac.uk/id/eprint/17557 |
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