Literature DB >> 17695350

Using a computer simulation of three slot machines to investigate a gambler's preference among varying densities of near-miss alternatives.

Otrro H MacLin1, Mark R Dixon, Dustin Daugherty, Stacey L Small.   

Abstract

The present article describes a software program in Visual Basic .NET designed to simulate three slot machines on a computer screen. This software is described in detail regarding utility, downloading, and usage; and data are presented illustrating the software's potential for researchers interested in gambling behavior. A simulation of multiple slot machines such as this enables researchers to evaluate players' preferences across various machines. In the highlighted experiment, 18 recreational slot machine players played the software for extra course credit and a chance at cash prizes. All participants played a version of the simulation in which every 5th response on average was a win, whereas the remaining trials were a loss. However, on those loss trials, a varying distribution of almost wins or near misses (i.e., two winning symbols on the payoff line and the final winning symbol directly above or below the payoff line) were presented in percentages of 15, 30, or 45. While no preferences across the three options could be predicted on the basis of reinforcement history alone, deviations from equal choices across the games were noted and appeared to be the result of the presentations of near-miss losing trials. Implications for a greater understanding of pathological gambling are presented.

Entities:  

Mesh:

Year:  2007        PMID: 17695350     DOI: 10.3758/bf03193153

Source DB:  PubMed          Journal:  Behav Res Methods        ISSN: 1554-351X


  16 in total

1.  Altering the near-miss effect in slot machine gamblers.

Authors:  Mark R Dixon; Becky L Nastally; James E Jackson; Reza Habib
Journal:  J Appl Behav Anal       Date:  2009

2.  Neurobehavioral evidence for the "Near-Miss" effect in pathological gamblers.

Authors:  Reza Habib; Mark R Dixon
Journal:  J Exp Anal Behav       Date:  2010-05       Impact factor: 2.468

3.  Exposure to Free-Play Modes in Simulated Online Gaming Increases Risk-Taking in Monetary Gambling.

Authors:  Tahnee Frahn; Paul Delfabbro; Daniel L King
Journal:  J Gambl Stud       Date:  2015-12

4.  Can we perceive near miss? An empirical study.

Authors:  Győző Kurucz; Attila Körmendi
Journal:  J Gambl Stud       Date:  2011-02-23

5.  Rethinking motor learning and savings in adaptation paradigms: model-free memory for successful actions combines with internal models.

Authors:  Vincent S Huang; Adrian Haith; Pietro Mazzoni; John W Krakauer
Journal:  Neuron       Date:  2011-05-26       Impact factor: 17.173

6.  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

7.  The frustrating effects of just missing the jackpot: slot machine near-misses trigger large skin conductance responses, but no post-reinforcement pauses.

Authors:  Mike J Dixon; Vance MacLaren; Michelle Jarick; Jonathan A Fugelsang; Kevin A Harrigan
Journal:  J Gambl Stud       Date:  2013-12

8.  An animal model of slot machine gambling: the effect of structural characteristics on response latency and persistence.

Authors:  Heather Peters; Maree Hunt; David Harper
Journal:  J Gambl Stud       Date:  2010-12

9.  Interpersonal and Group Contingencies.

Authors:  Tom Cariveau; Colin S Muething; Whitney Trapp
Journal:  Perspect Behav Sci       Date:  2020-02-18

10.  Altered neural correlates of reward and loss processing during simulated slot-machine fMRI in pathological gambling and cocaine dependence.

Authors:  Patrick D Worhunsky; Robert T Malison; Robert D Rogers; Marc N Potenza
Journal:  Drug Alcohol Depend       Date:  2014-11-04       Impact factor: 4.492

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