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.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Prensky, M.: Digital Game-Based Learning. Paragon House, St. Paul (2007)
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)
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_14
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)
Nielsen, J.: Usability Engineering. Academic Press, London (1993)
Benyon, D.: Designing Interactive Systems: A Comprehensive Guide to HCI and Interaction Design. Pearson, UK (2019)
Gee, J.P.: Learning by design: good video games as learning machines. E-Learn. Digit. Media 2(1), 5–16 (2005)
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
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)
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)
Collins, A., Brown, J.S., Holum, A.: Cognitive apprenticeship: making thinking visible. Am. Educ. 6(11), 38–46 (1991)
Raskin, J.: The Humane Interface. Addison Wesley, New York (2000)
Albert, W., Tullis, T.: Measuring the User Experience: Collecting, Analyzing, and Presenting Usability Metrics. Morgan Kaufmann, Waltham (2013)
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)
Brooke, J.: SUS - a quick and dirty usability scale. Usability Eval. Ind. 189(194), 189–194 (1996)
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)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer Nature Switzerland AG
About this paper
Cite this paper
Atorf, D., Kannegieser, E., Roller, W. (2019). Study on Enhancing Learnability of a Serious Game by Implementing a Pedagogical Agent. In: Liapis, A., Yannakakis, G., Gentile, M., Ninaus, M. (eds) Games and Learning Alliance. GALA 2019. Lecture Notes in Computer Science(), vol 11899. Springer, Cham. https://doi.org/10.1007/978-3-030-34350-7_16
Download citation
DOI: https://doi.org/10.1007/978-3-030-34350-7_16
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-34349-1
Online ISBN: 978-3-030-34350-7
eBook Packages: Computer ScienceComputer Science (R0)