The importance of urgency in decision making based on dynamic information
Fig 2
Behavior of subjects during easy and ambiguous trials.
(A) Left panel, individual mean decision times (DTs) observed during easy and ambiguous trials for all-stay (gray) and all-away (black) conditions. Inset panel shows a histogram with the difference in DTs between trial types within each condition. The DTs for easy and ambiguous trials were significantly different in both conditions (n = 15; paired-samples t-test, ** p < 0.001; all-stay, p = 0.000003, t = 7.48; all-away, p = 0.0007, t = 4.32). Right panel, success probability (SP) at decision time for easy and ambiguous trials. Inset panel shows a histogram with the difference in SPs for the two trial types within each condition. The difference is significant for both conditions (n = 15; paired-samples t-test, ** p < 10−8; all-stay, p = 0.4 × 10−12, t = 25.58; all-away, p = 0.2 × 10−9, t = 16.38). Error bars indicate SEM. (B) DTs (left panels) and SPs (right panels) of a representative subject, whose mean DT and SP values are indicated by arrows in (A). The subject clearly shows the same behavioral effect as was observed for the group: faster DT and higher SP at decision time for easy trials than for ambiguous trials in both all-stay and all-away conditions (Kolmogorov–Smirnov test, ** p < 0.01; neasy = 52, nambiguous = 37, all-stay: DTs, p = 0.00005, D = 0.4; SPs, p = 0, D = 0.89; neasy = 28, nambiguous = 22, all-away: DTs, p = 0.002, D = 0.35; p = 0, D = 0.97).