Behavior Enrichments
Modifications or additions to a system that encourage specific user behaviors.
Modifications or additions to a system that encourage specific user behaviors.
A statistical distribution where most occurrences take place near the mean, and fewer occurrences happen as you move further from the mean, forming a bell curve.
A psychological principle where people place higher value on objects or opportunities that are perceived to be limited or rare.
A theory of motivation that explains behavior as driven by a desire for rewards or incentives.
A design approach that predicts user needs and actions to deliver proactive and personalized experiences.
A research process used to identify and understand the underlying needs of users to inform the design of products and services.
The design of environments in which people make decisions, influencing their choices and behaviors.
Reinforcement Learning from Human Feedback (RLHF) is a machine learning technique that uses human input to guide the training of AI models.
A theoretical concept in economics that portrays humans as rational and self-interested agents who aim to maximize their utility.