I created a roulette style game and set out to see if I could get people to bet worse if I changed how the game revealed the winning tile.
29 Participants were used for this study and were split into 2 groups.
Participants were collected with the use of SONA as well as convenience sampling in person in the Tesla lab.
Both groups have the same exact odds of winning each individual tile on the board
In Group A tiles that were more valuable, Diamonds and Stars would disappear first.
In group B tiles that were less valuable, Circles and Triangles would disappear first.
Participants would choose a bet size and a type of tile to bet on.
Tiles would then disappear until a single tile remained.
If that tile matched the one that the player bet on then the player would win a multiplier of their bet chips based on what tile they bet on.
Each participant played 5 rounds.
An independent sample t-test was used to check for significance in participants’ frequency of betting on the star and which group they were in As well as participants’ average bet size and which group they were in.
No significant difference between when the valuable tiles were removed and how frequently they bet on the jackpot tile. Early Removal of Valuable Tiles (M = 0.733, SD = 0.961) and Late Removal of Valuable Tiles (M = 1.2, SD = 1.373), t(28) = -1.078, p > .05, 95% CI [-1.353, 0.42]. d = -0.394
There was a significant difference between when the valuable tiles were removed and how much they bet on average. Early Removal of Valuable Tiles (M = 1559, SD = 603.1) and Late Removal of Valuable Tiles (M = 2289, SD = 1053).
Those that had Late Removal of the more valuable tiles bet more on average throughout the whole play session. t(27) = -2.664, p < .05, 95% CI [-1524, -197.9], d = -0.859.
When the valuable tiles were removed later people did not have a significant change in the number of times they bet on the most valuable tile. However there was a slight increase. Average bet size having a significant change was an unexpected surprise and more research into this to confirm and try to determine how this changes as rates change.
More research with a larger sample size with players that play the game for longer might better reveal results. Because participants only played 5 rounds there was only 4 rounds of data per participant that were affected by the group difference. Additionally further research could investigate if participants had a change in behaviour with picking the diamond or second most valuable tile. Additionally research could see if similar behaviour patterns exist with more of incentive to win big and derive more meaning from the value of the participant’s chips.