IDEAS home Printed from https://ideas.repec.org/a/taf/intgms/v20y2020i3p500-514.html
   My bibliography  Save this article

Skill gambling machines and electronic gaming machines: participation, erroneous beliefs, and understanding of outcomes

Author

Listed:
  • Sally M. Gainsbury
  • Kahlil S. Philander
  • Georgia Grattan

Abstract

Skill-based gaming machines (SGMs) include a skill-element within the random mechanisms of electronic gaming machines (EGMs). Concerns have been expressed that SGMs may increase erroneous beliefs among gamblers, which would exacerbate gambling problems. This paper presents the results of a survey of 184 Mechanical Turk workers with access to SGMs. Exploratory analyses were conducted on measures assessing understanding of the role of skill vs. chance in determining outcomes in SGMs, EGMs, and other gambling and gaming activities, gambling participation, problem gambling severity, and gambling-specific erroneous beliefs. SGM play was greater among participants who were younger, more frequently played mobile games or gambled on EGMs, and had higher problem gambling severity. Participants with prior SGM play experience did not have a greater understanding of SGMs, and had less accurate understanding of how EGMs operate, yet had a higher self-reported understanding. The results suggest that individuals with existing gambling problems may gamble on SGMs and that SGMs may also appeal to a new cohort who do not engage with existing gambling activities. Greater efforts are needed to enhance understanding of EGMs in addition to SGMs where these are available to enabled informed decision-making and reduce erroneous beliefs that may drive problematic play.

Suggested Citation

  • Sally M. Gainsbury & Kahlil S. Philander & Georgia Grattan, 2020. "Skill gambling machines and electronic gaming machines: participation, erroneous beliefs, and understanding of outcomes," International Gambling Studies, Taylor & Francis Journals, vol. 20(3), pages 500-514, September.
  • Handle: RePEc:taf:intgms:v:20:y:2020:i:3:p:500-514
    DOI: 10.1080/14459795.2020.1828991
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/14459795.2020.1828991
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/14459795.2020.1828991?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:taf:intgms:v:20:y:2020:i:3:p:500-514. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/RIGS20 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.