Incentive Theory
A theory of motivation that explains behavior as driven by a desire for rewards or incentives. Crucial for designing systems that effectively motivate and engage users.
18 topics found for:
“reward systems”
Hyperbolic Discounting
A cognitive bias where people disproportionately prefer smaller, immediate rewards over larger, later rewards. Important for understanding and designing around user decision-making and reward structures.
Extrinsic Motivation
The drive to perform an activity due to external rewards or pressures rather than for the inherent enjoyment of the activity itself. Important for designing systems that effectively use external incentives to motivate user behavior.
Premack Principle
A strategy where engaging, preferred activities are used to motivate users to complete less engaging, necessary tasks. Useful for designing user interfaces and experiences that encourage desired behaviors by leveraging more enjoyable activities as rewards.
Secondary Reinforcer
A stimulus that gains reinforcing properties through association with a primary reinforcer, such as money or tokens, which are associated with basic needs. Essential for understanding complex behavior reinforcement strategies and designing effective reward systems.
Effort Justification
A cognitive bias where people attribute greater value to outcomes that required significant effort to achieve. Useful for designing experiences that recognize and reward user effort and persistence.
Incentivization
The process of providing incentives or rewards to encourage specific behaviors or actions. Important for motivating user behavior and increasing engagement.
Micro-Incentive
Small rewards or incentives given to users to encourage specific behaviors or actions. Important for motivating user engagement and fostering desired behaviors.
Probability Matching
A decision-making strategy where individuals allocate resources proportionally to the probability of an outcome occurring, rather than optimizing the most likely outcome. Important for understanding decision-making behaviors and designing systems that guide better resource allocation.
Reward Substitution
A strategy where less immediate or tangible rewards are substituted with more immediate or tangible ones to encourage desired behaviors. Important for designing systems that leverage immediate incentives to promote long-term goals.
Reward Power
The ability to influence others' behavior by offering positive incentives or rewards, commonly used in organizational and social contexts. Crucial for understanding dynamics of motivation and influence in team and organizational settings.
Licensing Effect
A cognitive bias where people allow themselves to indulge after doing something positive, believing they have earned it. Important for understanding user behavior and designing systems that account for self-regulation.
Goal Gradient Effect
The tendency for people to feel more motivated and accelerate their efforts as they get closer to achieving a goal. Important for designing systems that motivate users effectively.
Continuous Reinforcement
A schedule of reinforcement where a desired behavior is reinforced every time it occurs, promoting quick learning and behavior maintenance. Important for designing systems that encourage consistent user behavior.
Crowding Out Effect
The phenomenon where external incentives diminish intrinsic motivation, leading to reduced performance or engagement. Important for designing motivational strategies that do not undermine intrinsic motivation.
Present Bias
A cognitive bias where individuals give stronger weight to payoffs that are closer to the present time compared to those in the future. Important for understanding user time-related decision-making and designing systems that encourage long-term thinking.
Motivation Wave
A concept describing how motivation fluctuates over time, influenced by various factors such as goals, rewards, and external circumstances. Crucial for designing systems that align with users' motivational states to maximize engagement and productivity.
Negativity Bias
The tendency to give more weight to negative experiences or information than positive ones. Crucial for understanding user behavior and designing systems that balance positive and negative feedback.