Questions

6 Experimental conditions

Reward conditions

The reward conditions dictate how a player’s performance, and possibily the performance of a competitor, contributes to a final monetary bonus. Consider a task that results in points, where each point is worth $0.01. Two players A and B complete the task and player A earns 150 points, while player B earns 200 points.

Condition Description Player A’a Player B
r.I Individual only Earnings depend only on individual performance 150p 200p
r.IC Individual + Competition Bonus Earnings depend on individual performance plus a bonus if you outperform your competitor 150p 200p + 100p = 300p
r.C Competition Bonus only Earnings only depend on your performance relative to your competitor. If you lose, you win nothing. 0p 100p

Information conditions

The information condition dictates whether players receive some sort of feedback on their competitor’s performance during the task.

Condition Description
i.I Individual only (I) Individuals only know their performance throughout the game. In the competitive reward conditions, they only learn how their competitor did at the end
i.IS Individual + Social (IS) Individuals know both their performance and that of others over time
  • In the i.IS condition, the rate at which individuals receive information about others’ performance is a free parameter (e.g.; after every trial? every X trials?)

Tasks

Paradigm Description Versions Learning? Uncertainty?
Holt and Laury (Holt & Laury, 2002) Repeated selections between 10 paired lottery choices. - No No
Standard DFD gambles (boxes, pie charts) Repeated selections between gambles varying in risk and EV. - No No
Columbia Card Task (Figner et al., 2009) Select cards until they decide to stop, or they select the joker. 1) Hot: Sequential
2) Cold: Simultaneous
Yes No
BART (Lejuez et al., 2002) Pump a balloon until they cash out, or the balloon pops 1) Hot: Sequential
2) Cold: Simultaneous
Yes Yes

Environments

What statistical environments should people play in? I can consider three domains that vary in the relationship between risk and reward.

Domain Example Description Question
Risk favorable Stock Market. Positive risk-reward correlation (e.g.; risky options have higher EV) In environments with a positive risk-reward correlation, can competition cause people to become more risky, and thus earn more at both the individual and group level?
Risk Neutral ? No risk-reward correlation (all options have same EV) In environments with no risk-reward correlation, does competition still increase risk?
Risk unfavorable Smoking. Risky sex Negative risk-reward correlation (risky options have lower-EV) In environments with a negative risk-reward correlation, does compeititon cause people to become more risky, and earn less, or do they become less risky, and earn more??

Study Proposals

  1. DFD. 20 repeated choices between 2 (binary) gambles. One high risk, one low risk
    • 2: Information Conditions
      • Individual (i.I)
      • Social (i.S)
    • 3: Reward Conditions
      • Individual (r.I)
      • Individual + Competition (r.IC)
      • Competition only (r.C)
    • 3: Environments
      • Risk Favorable: A (EV = +1.5, VAR = 5), B (EV = +2.0, VAR = 10),
      • Risk Neutral: A (EV = +1.5, VAR = 7.5), B (EV = +1.5, VAR = 10),
      • Risk Unfravorable: A (EV = +1.5, VAR = 7.5), B (EV = +1.0, VAR = 10)
    • Social information
      • Every 5 choices, players receive social information (3 times)
  2. BART. 40 repeated plays of the BART with a maximum popping value of 10.
    • 2: Information Conditions
      • Individual (i.I)
      • Social (i.S)
    • 3: Reward Conditions
      • Individual (r.I)
      • Individual + Competition (r.IC)
      • Competition only (r.C)
    • 2: Environment
      • Risk favorable: Balloons more likely to pop at large values.
      • Risk “neutral”: Balloons equally likely to pop anywhere.
    • Social information
      • Every 10 balloons, players receive social information (3 times)