Fig. 1: Behavioral task and computational modeling.
From: Neurocomputational basis of learning when choices simultaneously affect both oneself and others
Task design, choice frequencies, and behavioral modeling results for the four-option task (n = 89), two-option task (n = 119), and combined sample (n = 208). A Example choice trial for the four-option task with two possible outcomes. B Example choice trial for the two-option task with two possible outcomes. C People exhibit self-regarding biases, choosing the mutually beneficial and instrumentally harmful options most frequently. Error bars represent the standard errors around the mean proportions. D, E Model comparison metrics indicate that people integrate information about outcomes for self and others during learning. Asterisks (*) indicate the best-fitting model according to the specified model comparison metric. F Mean learning rates with 95% confidence intervals depicting how people learn from different types of prediction errors (PEs). †Note that the percentages in two-option task do not sum to 100% because each option was displayed to participants in a pairwise fashion in three out of six blocks. Each of the four options was displayed to participants in 120 trials (out 240 trials total).
