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.
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.
Reminders, cues, and prompts are simply methods to cause someone to perform a behavior by calling their attention to it with a timely message. People have limited attention and memory, so these types of influences can be very effective when done skillfully.
The cue need not consist of written or spoken language; for example, it could be a certain melody, symbol, or pattern of lights on a connected home device. It might also be a bracelet or pattern of vibrations from a wearable device. Provided the cue or prompt is associated with the behavior, almost any sensory stimuli that is reliably perceived and interpreted may be used. That said, verbal reminders can be effective since they may be personalized with additional semantic information related to the person's context or leverage other effects (e.g. identity priming or framing effects).
Reminders, cues, and prompts are simply methods to cause someone to perform a behavior by calling their attention to it with a timely message. People have limited attention and memory, so these types of influences can be very effective when done skillfully.
The cue need not consist of written or spoken language; for example, it could be a certain melody, symbol, or pattern of lights on a connected home device. It might also be a bracelet or pattern of vibrations from a wearable device. Provided the cue or prompt is associated with the behavior, almost any sensory stimuli that is reliably perceived and interpreted may be used. That said, verbal reminders can be effective since they may be personalized with additional semantic information related to the person's context or leverage other effects (e.g. identity priming or framing effects).
Lotteries are any form of assigning an award where there is an element of randomness or chance.
One example is a prize-linked savings account (PLSAs). One of the earliest of these was the Million a Month Account (MAMA) in South Africa, where First National Bank offered account-holders with qualifying deposits a chance to win up to one million rand each month (along with other smaller prizes given out at random).
Lotteries may be used with non-financial rewards as well, e.g. offering tickets to a sold-out play or sporting event for employees reaching certain performance benchmarks.
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.
