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Replay Penalties in Cognitive Games

  • Conference paper
Intelligent Tutoring Systems (ITS 2014)

Part of the book series: Lecture Notes in Computer Science ((LNPSE,volume 8474))

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Abstract

Replay penalties that punish players by making them repeat progress are ubiquitous in video games yet noticeably absent from tutors, creating a dilemma for designers seeking to combine games and tutors to maximize interest and learning. On the one hand, replay penalties can be frustrating and waste instructional time, on the other, they may increase excitement and prevent gaming the system. This study tested the effects of replay penalties on learning and interest. In a randomized, controlled experiment with a two-group, between subjects design, 100 University students played two versions of Policy World, an educational game for teaching policy argument, with and without penalties that forced students to replay parts of the game. Results showed that replay penalties decreased learning and interest. These findings suggest a minimize penalties principle for designing cognitive games.

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Author information

Authors and Affiliations

  1. School of Education and Social Policy, Northwestern University, Evanston, IL, USA

    Matthew W. Easterday & I. Yelee Jo

Authors
  1. Matthew W. Easterday
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  2. I. Yelee Jo
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Editor information

Editors and Affiliations

  1. Computer Science Department, University Politehnica of Bucharest, Splaiul Independentei 313, 060042, Bucharest, Romania

    Stefan Trausan-Matu

  2. North Carolina State University, 890 Oval Dr., Campus Box 8206, 27695-8206, Raleigh, NC, USA

    Kristy Elizabeth Boyer

  3. Department of Information and Computer Sciences, University of Hawaii, 1680 East-West Road, POST 317, 96822, Honolulu, HI, USA

    Martha Crosby

  4. Neoanalysis Ltd., Marni 56, 10437, Athens, Greece

    Kitty Panourgia

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© 2014 Springer International Publishing Switzerland

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Easterday, M.W., Jo, I.Y. (2014). Replay Penalties in Cognitive Games. In: Trausan-Matu, S., Boyer, K.E., Crosby, M., Panourgia, K. (eds) Intelligent Tutoring Systems. ITS 2014. Lecture Notes in Computer Science, vol 8474. Springer, Cham. https://doi.org/10.1007/978-3-319-07221-0_48

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  • DOI: https://doi.org/10.1007/978-3-319-07221-0_48

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-07220-3

  • Online ISBN: 978-3-319-07221-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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