Literature DB >> 10633994

A computerized slot machine simulation to investigate the variables involved in gambling behavior.

O H MacLin1, M R Dixon, L J Hayes.   

Abstract

The present paper describes a computerized slot machine simulation designed to examine many of the potential variables involved in gambling behavior. This program was created in Visual Basic Version 6.0 and is designed to run on any Windows 95 or higher equipped computer. The program allows for experimenter manipulation of probabilities of payoffs, visual display of potential winning symbols, exact sequences of wins and losses, as well as pose run time questions to the subject on prespecified trials. The program records data on a trial-by-trial basis to a text file for easy importation into many data analysis and statistical programs. Conceptual and experimental questions that may be addressed with the described program are also discussed.

Mesh:

Year:  1999        PMID: 10633994     DOI: 10.3758/bf03200755

Source DB:  PubMed          Journal:  Behav Res Methods Instrum Comput        ISSN: 0743-3808


  7 in total

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Authors:  Kimberly R Zlomke; Mark R Dixon
Journal:  J Appl Behav Anal       Date:  2006

Review 2.  Parameters for safer gambling behavior: examining the empirical research.

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Journal:  J Gambl Stud       Date:  2008-05-28

3.  Near Misses in Slot Machine Gambling Developed Through Generalization of Total Wins.

Authors:  Jordan Belisle; Mark R Dixon
Journal:  J Gambl Stud       Date:  2016-06

4.  Effects of alcohol and initial gambling outcomes on within-session gambling behavior.

Authors:  Jessica M Cronce; William R Corbin
Journal:  Exp Clin Psychopharmacol       Date:  2010-04       Impact factor: 3.157

5.  An analysis of switching and non-switching slot machine player behaviour.

Authors:  Ewan Coates; Alex Blaszczynski
Journal:  J Gambl Stud       Date:  2013-12

6.  The relationship between reinforcement and gaming machine choice.

Authors:  John Haw
Journal:  J Gambl Stud       Date:  2007-07-20

7.  Analysis of Gambling in the Media Related to Screens: Immersion as a Predictor of Excessive Use?

Authors:  Jean-Jacques Rémond; Lucia Romo
Journal:  Int J Environ Res Public Health       Date:  2018-01-02       Impact factor: 3.390

  7 in total

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