The Gamer Response and Decision Framework
Sam von Gillern
Simulation & Gaming, 2016, vol. 47, issue 5, 666-683
Abstract:
Aim . This article presents the Gamer Response and Decision Framework as a tool for understanding how people interpret, make decisions, and learn during their video gaming experiences. Background . The Gamer Response and Decision Framework combines Rosenblatt’s Reader Response Theory with a variety of other concepts and frameworks related to new literacies, multimodality, learning theory, psychology, and video gaming. This Framework illustrates that every individual has unique experiences, knowledge, skills, agency, self-efficacy, and goals, and these components influence how people interpret and make decisions during video gameplay, which affects how the game unfolds as a unique experience for each gamer. Together these ideas illustrate that no two gamers have the same experience when playing a video game. Understanding video gameplay experiences is important as it represents a dynamic process in which gamers interpret a wide variety of multimodal symbols, experiment and learn in these digital environments, and solve complex problems in order to progress in the game. Conclusion . The Gamer Response and Decision Framework can be used to understand, investigate, and analyze video gameplay experiences and has significant implications for our understanding the thought, decision-making, and learning processes that gamers experience. In the future, researchers in a variety of fields including education, game studies, and game design can use this framework to analyze how people interact with video games.
Keywords: engagement and learning; game analysis; gamer response and decision framework; Gibson’s Theory of Affordances; learning; literacy practice; multimodality; new literacies; video games (search for similar items in EconPapers)
Date: 2016
References: Add references at CitEc
Citations:
Downloads: (external link)
https://journals.sagepub.com/doi/10.1177/1046878116656644 (text/html)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:sae:simgam:v:47:y:2016:i:5:p:666-683
DOI: 10.1177/1046878116656644
Access Statistics for this article
More articles in Simulation & Gaming
Bibliographic data for series maintained by SAGE Publications ().