Skill coaching simply refers to guiding a person to acquire a new behavior or set of behaviors, often by scaling the information and challenge level with their growing ability.
Examples of this might include teaching someone to cook healthy foods or training them in various self-regulation techniques from cognitive behavioral therapy. This coaching may be done by an individual or automated through digital experiences.
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.
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.
Defaults refer to what happens if a person makes no choice or goes with a pre-selected choice. The influence of defaults is a foundational component of behavioral economics.
Perhaps the most famous example of defaults is the difference between opt-in and opt-out organ donation programs. While not universal, several studies have found that the rate of organ donation consent in a population seems to be influenced by the default (i.e., what happens if a person does not check a box or change the pre-selected preference on a form).
Smart defaults do not only refer to one-off events, however. In the well-known Save More Tomorrow program, participants were not only included in a savings program by default, but the amount they saved was also changed over time automatically (again by default). Similarly, other behavior change programs have default settings that include at-home medication or food delivery, rules-based reminders on different platforms, etc.
Personalization refers to taking specific data from the individual in a behavioral intervention into account in offering a different experience vs. that given to others.
An experience may be personalized based on demographic data, psychographic data, behavioral performance, or other factors.
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.
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.
Automation refers to having another person, group, or technology system perform part or all of the intended behavior.
A prominent example is Thaler & Bernartzi's Save More Tomorrow intervention, which invested a portion of employees' earnings into retirement funds automatically and even increased the contribution level to scale with pay raises. Other examples include automatically scheduling medical appointments so the patient needn't do it themselves and mailing healthy recipe ingredients to the person's home to reduce the burden of shopping.
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