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They Played a Game: Reactions to Obesity Stigma in a Cyberball Game

They Played a Game: Reactions to Obesity Stigma in a Cyberball Game. John B. Pryor & Glenn D. Reeder Illinois State University Eric D. Wesselmann, Kipling D. Williams, & James Wirth Purdue University. Presented at the Society for Personality and Social Psychology Meetings

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They Played a Game: Reactions to Obesity Stigma in a Cyberball Game

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  1. They Played a Game: Reactions to Obesity Stigma in a Cyberball Game John B. Pryor & Glenn D. Reeder Illinois State UniversityEric D. Wesselmann, Kipling D. Williams, & James WirthPurdue University Presented at the Society for Personality and Social Psychology Meetings January 27, 2007, Memphis, TN

  2. What is Cyberball? An online game of “catch” Participants control an animated hand that tosses a ball to 2-3 other players who in turn toss the ball to each other or the participant Other players are actually “virtual confederates” whose tossing behavior can be programmed

  3. Cyberball Game Megan Ashley Sara Me

  4. When other players ostracizesomeone, the prevailing normis to try to include that person Megan Megan Megan Ashley Sara Me

  5. How is adherence to an inclusion norm affected by the presence of a powerful stigma?

  6. Preview Other Players Play Cyberball Basic Procedure & Design ostracism of obese player 1 obese & 2 non-obese players Assess Anti-fat Attitudes inclusion of obese player measure of explicit anti-fat attitudes measure of implicit anti-fat attitudes ostracism of non-obese player 3 non-obese players inclusion of non-obese player

  7. Participants received photos of the other 3 players prior to the Cyberball game. In half the conditions, one of the other players was obese. We altered photos to make the same person appear obese or normal weight. Obese Control Control

  8. Cyberball Game Megan Ashley Sara

  9. Pictograph Judgments: Implicit Anti-Fat Attitudes (AMP) • Before and after photos of 30 women taken from Weight Watchers website Judgment of Meaning 1 second 1 second Judgment of Meaning

  10. t(95) = 5.68, p < .01

  11. Explicit Attitude Measure: Feeling Thermometer for Obese Women

  12. Hypotheses • Adherence to an inclusion norm will be reduced when one of the players is stigmatized • Explicit attitudes will be related to more controlled or deliberative biases toward the stigmatized person • Implicit attitudes will be related to automatic biases toward the stigmatized person

  13. How many times did the participant toss the ball to the target? Megan Ashley Sara

  14. Player X Ostracism: F(2,184) = 9.16, p < .01 Player X Obesity: F(2,184) = 3.19, p < .05

  15. After first receiving the ball, how many turns did the participant delay in tossing the ball to the target? Megan Ashley Sara

  16. F(1,84) = 6.27, p < .02 (means adjusted for covariates)

  17. * F(1,84) = 5.85, p < .02 * p <.01

  18. Did the participant hesitate when deciding to toss the ball to the target? Megan Ashley Sara

  19. Ostracism X Obesity X Implicit Bias F(1,84) = 13.21, p < ,01 (means adjusted for covariates)

  20. * * * * p <.01

  21. Conclusions • Inclusion norms are weaker when people interact with a stigmatized person • Explicit attitudes moderate the impact of a stigma upon more controlled behaviors • Implicit attitudes moderate the impact of a stigma upon more automatic behaviors.

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