Knowledge Assessment: Game for Assessment of Symptoms of Child Physical Abuse

Richard Zhao, Christopher R. Shelton, Melanie D. Hetzel-Riggin, Jordan LaRiccia, Gregory Louchart, Adam Meanor, Heather J. Risser

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Using serious games as a form of training and education has been a growing trend. While there has been research into the adaptation of games for training, assessment of user knowledge as a whole for the purpose of creating tailored training content has not been closely examined. In this paper, we propose a general framework for creating an assessment game and show how Knowledge Assessment can be used to guide the focus of subsequent training modules. Using our framework, we address the frustration and anxiety expressed by medical and nursing professionals about their lack of training regarding indicators of child physical abuse (CPA) in the United States. We develop the Computer Simulated Interactive Child Abuse Screening Tool (CSI-CAST), which contains scenarios in a serious game and uses assistive AI technologies to assess a group of users and discover features that are important in indicating the users' collective knowledge identifying CPA. A user study is conducted to show that CSI-CAST is easy to use and it functions to discover specific training needs.
Original languageEnglish (US)
Title of host publicationProceedings of the 14th International Conference on the Foundations of Digital Games
Place of PublicationNew York, NY, USA
PublisherAssociation for Computing Machinery
ISBN (Print)9781450372176
DOIs
StatePublished - 2019

Publication series

NameFDG '19
PublisherAssociation for Computing Machinery

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