ACT is a therapeutic approach originalled developed by Steven Hayes. It borrows from previous concepts like cognitive behavioral therapy and Morita therapy.
The principles of ACT are fairly systematic and lend themselves well to program design, finding empirical support in adaptations like 2morrow's smoking cessation and pain management interventions.
Self-monitoring or tracking simply refers to a person measuring their behavior, experiences, cognition, or other data points over time.
Often, merely tracking a behavior can influence the likelihood or frequency with which a person performs the behavior or related ones. For example, many pedometer studies increase walking activity merely by improving awareness, and many interventions that merely consist of rewarding someone for weighing themselves result in weight loss. Similarly, when cognitive behavioral therapy patients track which cues or environments are associated with undesired behaviors or thoughts, they may begin to avoid them.
Unfortunately, people often find tracking behaviors tedious and lose interest after a short period, so behavior designers should seek to reduce the burden of self-monitoring by collecting information automatically or doing so in a low-effort way.
Micro-incentives refers to small rewards, typically frequent and cash-based, given out on a per-behavior basis.
A prominent example is Wellth, a program for people with chronic illness delivered via app. Some participants are given around $2 each time they take a medication or measure their blood pressure and submit a photo.
In related studies, e.g. Petry et al. (2015), participants' compliance with these behaviors was significantly higher than those who did not receive the incentives, and the behaviors persisted several months after incentives were removed.
Micro-incentives can be layered with other reward approaches such as lotteries and non-financial incentives.
Random screening refers to unannounced checks of whether someone has been compliant with a given behavior.
These are frequently used via biomarkers, e.g. testing if someone has been taking recreational drugs by delivering a urine test.
Commitment devices are tools that attempt to bridge the gap between a person's initial motivation to perfrom the behavior and the typical pattern of noncompliance as time goes on.
One prominent example is the "Ulysses Pact," where Filipino banking customers were offered the option to enroll in an account where their ability to make withdrawals would be limited. In a study by Ashraf and Karlan (2005), participants with the commitment account saved 81% more than those with typical accounts.
There are many other examples of commitment devices. Temptation bundling is a form of commitment device where people only engage in an enjoyable activity when it's simultaneous with an activity they intend to do more (for example, only listening to a certain podcast or audiobook while walking on a treadmill).
Pre-paying for a service is a basic form of commitment device, and one used by Dan Ariely when he intended to increase his fruit and vegetable consumption. He paid for a year of biweekly deliveries from a local CSA program up-front.
Feedback entails providing qualitative or quantitative information about a behavior's performance or consequences.
Performative information might include data on how a person's current diet tracks with nutrition recommendations or how their home power consumption compares with nearby households.
Feedback on outcomes may include information about relative cancer risk based on current lifestyle factors or calculated net worth in 20 years based on the person's current savings rate and investment returns.
Social benchmarking refers to comparing a person's behavior, trends, or status to others. Often, merely providing data on others can change behavior by leveraging social norms.
For example, letters comparing homeowners' use of electricity with peers were found to significantly reduce the amount of energy used by high-consumption households compared to non-comparison messages.
