Preferences for token exchange‐production schedules: Effects of task difficulty and token‐production schedules

Falligant et al. (2020) asked kids to do easy and hard tasks. They compared two token-exchange schedules. One schedule let kids save tokens and trade a big pile later. The other schedule let kids trade a few tokens at a time.

The team switched the schedules back and forth. They also changed how fast kids could earn tokens. They wanted to see which schedule the kids liked best.

When the task was easy, kids liked saving tokens and trading a big pile. When the task was hard, kids liked trading tokens more often. When tokens were hard to earn, kids also liked trading more often.

No single schedule was best. The kids' choices flipped with task difficulty and token-production density.

Cihon et al. (2019) worked with children with autism. They kept the token-exchange number secret and flexible. Kids kept talking longer. Falligant's lab shows you may need to switch from saving to frequent trades when tasks get hard.

Hangen et al. (2023) found paired tokens are weaker than primary reinforcers. Falligant's study adds that even weak tokens can feel better if you let kids trade them more often during tough work.

LeBlanc et al. (2003) showed preference can change when schedules are paired with richer or leaner options. Falligant's results echo this: preference flips with context—task difficulty and token density.

You can adjust token exchanges on the fly. If a child starts to struggle, switch from big pile trades to small frequent trades. Watch which schedule keeps the child engaged. Pair this tip with Cihon's flexible-secret method for a double boost.