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Study on Enhancing Learnability of a Serious Game by Implementing a Pedagogical Agent

  • Daniel AtorfEmail author
  • Ehm Kannegieser
  • Wolfgang Roller
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11899)

Abstract

This paper elaborates on a study on the implementation of a pedagogical agent. The agent is meant to improve and enhance the learnability of the serious game Lost Earth 2307. The game is analyzed in order to find the aspects that need to be improved (i.e. problems players might have with learning how to use and handle the game). Based on these findings the implementation of the pedagogical agent and the methods used are presented and elaborated. Furthermore, the question whether a pedagogical agent can improve the learnability of game mechanics in serious games compared to the “Standard form contract”-style tutorials used in Lost Earth 2307, is discussed. A study about the evaluation of the implemented pedagogical agent, its research question and the metrics used, is presented. The paper depicts the setup of the user study using SUS and NASA TLX questionnaires and report in detail about the results and discusses the outcomes.

Keywords

Game design Pedagogical agent Digital game-based learning Usability Immersion Study 

References

  1. 1.
    Prensky, M.: Digital Game-Based Learning. Paragon House, St. Paul (2007)Google Scholar
  2. 2.
    Bopp, M.: Immersive Didaktik und Framingprozesse in Computerspielen. In: Neitzel, B., Nohr, R.F. (eds.) Das Spiel mit dem Medium. Partizipation-Immersion-Interaktion. Zur Teilhabe an den Medien von Kunst bis Computerspiel, pp. 170–186. Schüren, Marburg (2006)Google Scholar
  3. 3.
    Atorf, D., Kannegieser, E., Roller, W.: Balancing realism and engagement for a serious game in the domain of remote sensing. In: Gentile, M., Allegra, M., Söbke, H. (eds.) GALA 2018. LNCS, vol. 11385, pp. 146–156. Springer, Cham (2019).  https://doi.org/10.1007/978-3-030-11548-7_14CrossRefGoogle Scholar
  4. 4.
    Cheng, M.-T., She, H.-C., Annetta, L.A.: Game immersion experience: its hierarchical structure and impact on game-based science learning. J. Comput. Assist. Learn. 31(3), 232–253 (2015)CrossRefGoogle Scholar
  5. 5.
    Nielsen, J.: Usability Engineering. Academic Press, London (1993)CrossRefGoogle Scholar
  6. 6.
    Benyon, D.: Designing Interactive Systems: A Comprehensive Guide to HCI and Interaction Design. Pearson, UK (2019)Google Scholar
  7. 7.
    Gee, J.P.: Learning by design: good video games as learning machines. E-Learn. Digit. Media 2(1), 5–16 (2005)CrossRefGoogle Scholar
  8. 8.
    Hedges, N.: Gamasutra: hedges’s blog - video game tutorials: how do they teach? (2017). https://www.gamasutra.com/blogs/NathanHedges/20171013/307378/Video{-}Game{-}Tutorials{-}How{-}Do{-}They{-}Teach.php. Accessed 07 June 2019
  9. 9.
    Johnson, W.L., Lester, J.C.: Face-to-face interaction with pedagogical agents, twenty years later. Int. J. Artif. Intell. Educ. 26(1), 25–36 (2016)CrossRefGoogle Scholar
  10. 10.
    Schroeder, N.L., Adesope, O.O., Gilbert, R.B.: How effective are pedagogical agents for learning? A meta-analytic review. J. Educ. Comput. Res. 49(1), 1–39 (2013)CrossRefGoogle Scholar
  11. 11.
    Collins, A., Brown, J.S., Holum, A.: Cognitive apprenticeship: making thinking visible. Am. Educ. 6(11), 38–46 (1991)Google Scholar
  12. 12.
    Raskin, J.: The Humane Interface. Addison Wesley, New York (2000)Google Scholar
  13. 13.
    Albert, W., Tullis, T.: Measuring the User Experience: Collecting, Analyzing, and Presenting Usability Metrics. Morgan Kaufmann, Waltham (2013)Google Scholar
  14. 14.
    Nielsen, J., Mack, R.L., Bergendorff, K.H., Grischkowsky, N.L.: Integrated software usage in the professional work environment: evidence from questionnaires and interviews. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems CHI 1986, vol. 17, no. 4, pp. 162–167. ACM (1986)Google Scholar
  15. 15.
    Brooke, J.: SUS - a quick and dirty usability scale. Usability Eval. Ind. 189(194), 189–194 (1996)Google Scholar
  16. 16.
    Cao, A., Chintamani, K.K., Pandya, A.K., Ellis, R.D.: NASA TLX: software for assessing subjective mental workload. Behav. Res. Methods 41(1), 113–117 (2009)CrossRefGoogle Scholar

Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Daniel Atorf
    • 1
    Email author
  • Ehm Kannegieser
    • 1
  • Wolfgang Roller
    • 1
  1. 1.Fraunhofer IOSBKarlsruheGermany

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