Analyzing Iterative Training Game Design: A Multi-Method Postmortem Analysis of CYCLES Training Center and CYCLES Carnivale
| Autor: | James E. Folkestad, Tomek Stralkowski, Kate Kenski, Emilie T. Saulnier, Rosa Mikeal Martey, Jennifer Stromer-Galley, Sarah Taylor, Elizabeth McLaren, Adrienne Shaw, Brian McKernan, Benjamin A. Clegg, Matthew G. Rhodes |
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| Jazyk: | angličtina |
| Rok vydání: | 2018 |
| Předmět: |
Iterative design
Computer Networks and Communications Computer science Neuroscience (miscellaneous) Machine learning computer.software_genre lcsh:Technology Empirical research Game design quantitative cognitive biases lcsh:Science post mortem training learning business.industry lcsh:T Training (meteorology) ComputingMilieux_PERSONALCOMPUTING video games Cognitive bias Computer Science Applications Human-Computer Interaction Training center Game studies lcsh:Q Multi method Artificial intelligence game design business computer |
| Zdroj: | Multimodal Technologies and Interaction, Vol 2, Iss 3, p 46 (2018) Multimodal Technologies and Interaction Volume 2 Issue 3 |
| ISSN: | 2414-4088 |
| Popis: | That games can be used to teach specific content has been demonstrated numerous times. However, although specific game features have been conjectured to have an impact on learning outcomes, little empirical research exists on the impact of iterative design on learning outcomes. This article analyzes two games that have been developed to train an adult audience to recognize and avoid relying on six cognitive biases (three per game) in their decision making. The games were developed iteratively and were evaluated through a series of experiments. Although the experimental manipulations did not find a significant impact of the manipulated game features on the learning outcomes, each game iteration proved more successful than its predecessors at training players. Here, we outline a mixed-methods approach to postmortem game design analysis that helps us understand what might account for the improvement across games, and to identify new variables for future experimental training game studies. |
| Databáze: | OpenAIRE |
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