A mixed method approach for evaluating and improving the design of learning in puzzle games

Research output: Chapter in Book/Report/Conference proceedingsChapterpeer-review

Abstract

Despite the acknowledgment that learning is a necessary part of all gameplay, the area of Games User Research lacks an established evidence based method through which designers and researchers can understand, assess, and improve how commercial games teach players game-specific skills and information. In this paper, we propose a mixed method procedure that draws together both quantitative and experiential approaches to examine the extent to which players are supported in learning about the game world and mechanics. We demonstrate the method through presenting a case study of the game Portal involving 14 participants, who differed in terms of their gaming expertise. By comparing optimum solutions to puzzles against observed player performance, we illustrate how the method can indicate particular problems with how learning is structured within a game. We argue that the method can highlight where major breakdowns occur and yield design insights that can improve the player experience with puzzle games.

Original languageEnglish
Title of host publicationCHI PLAY 2017 - Proceedings of the Annual Symposium on Computer-Human Interaction in Play
PublisherAssociation for Computing Machinery, Inc
Pages217-228
Number of pages12
ISBN (Electronic)9781450348980
DOIs
Publication statusPublished - 15 Oct 2017
Event4th ACM SIGCHI Annual Symposium on Computer-Human Interaction in Play, CHI PLAY 2017 - Amsterdam, Netherlands
Duration: 15 Oct 201718 Oct 2017

Publication series

NameCHI PLAY 2017 - Proceedings of the Annual Symposium on Computer-Human Interaction in Play

Conference

Conference4th ACM SIGCHI Annual Symposium on Computer-Human Interaction in Play, CHI PLAY 2017
Country/TerritoryNetherlands
CityAmsterdam
Period15/10/1718/10/17

Keywords

  • Breakdowns
  • Evaluation methods
  • Games
  • Games user research
  • Learning curves
  • Player experience

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