Susan Dass, Joanne Barnieu, Paul Cummings, Victor Cid
{"title":"A Cognitive Task Analysis for an Emergency Management Serious Game.","authors":"Susan Dass, Joanne Barnieu, Paul Cummings, Victor Cid","doi":"","DOIUrl":null,"url":null,"abstract":"<p><p>The Bethesda Hospitals' Emergency Preparedness Partnership identified a need to design training systems for hospital emergency management scenarios that included incident command situations. As part of this partnership, the National Library of Medicine (NLM) was challenged to develop an engaging, learner-centered simulation to specifically address hospital procedures for highly infectious diseases (HIDs) for multiple hospital roles. A serious game approach was selected for the simulation because collaborative (multiplayer) immersive, game-based simulations have been proven to generate realistic and engaging learning experiences and, when properly designed, can enhance training while minimizing cost compared to full-scale disaster exercises (Spain et al., 2013). Although substantial research effort has been put into design and evaluation of serious games, less time has been spent on developing sound instructional design methodologies to support serious game development. So how does one collect the appropriate, relevant, contextualized content and then align with serious game design elements? This paper describes how a cognitive task approach supported by a live demonstration with a think-aloud protocol was used to collect the rich psychomotor, procedural, and cognitive data necessary for the design of a serious game for handling HIDs. Furthermore, the paper presents a process to translate the collected data into meaningful content to support rapid prototyping. Recommendations for data collection and translation for a serious game close the paper.</p>","PeriodicalId":92303,"journal":{"name":"The Interservice/Industry Training, Simulation, and Education Conference : I/ITSEC. Interservice/Industry Training, Simulation, and Education Conference","volume":"2016 ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5889136/pdf/nihms867915.pdf","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"The Interservice/Industry Training, Simulation, and Education Conference : I/ITSEC. Interservice/Industry Training, Simulation, and Education Conference","FirstCategoryId":"1085","ListUrlMain":"","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
The Bethesda Hospitals' Emergency Preparedness Partnership identified a need to design training systems for hospital emergency management scenarios that included incident command situations. As part of this partnership, the National Library of Medicine (NLM) was challenged to develop an engaging, learner-centered simulation to specifically address hospital procedures for highly infectious diseases (HIDs) for multiple hospital roles. A serious game approach was selected for the simulation because collaborative (multiplayer) immersive, game-based simulations have been proven to generate realistic and engaging learning experiences and, when properly designed, can enhance training while minimizing cost compared to full-scale disaster exercises (Spain et al., 2013). Although substantial research effort has been put into design and evaluation of serious games, less time has been spent on developing sound instructional design methodologies to support serious game development. So how does one collect the appropriate, relevant, contextualized content and then align with serious game design elements? This paper describes how a cognitive task approach supported by a live demonstration with a think-aloud protocol was used to collect the rich psychomotor, procedural, and cognitive data necessary for the design of a serious game for handling HIDs. Furthermore, the paper presents a process to translate the collected data into meaningful content to support rapid prototyping. Recommendations for data collection and translation for a serious game close the paper.