Attribution Theory
A theory that explains how individuals determine the causes of behavior and events, including the distinction between internal and external attributions.
72 topics found for
“human behavior understanding”
RLHF
Reinforcement Learning from Human Feedback (RLHF) is a machine learning technique that uses human input to guide the training of AI models.
Turing Test
A test proposed by Alan Turing to determine if a machine's behavior is indistinguishable from that of a human.
Hedonic Adaptation
The observed tendency of humans to quickly return to a relatively stable level of happiness despite major positive or negative events or life changes.
HCI
Human-Computer Interaction (HCI) is the study of designing interfaces and interactions between humans and computers.
Motivation Theory
A framework for understanding what drives individuals to act, involving theories such as Maslow's hierarchy of needs.
LLM
Large Language Model (LLM) is an advanced artificial intelligence system trained on vast amounts of text data to understand and generate human-like text.
Regret Aversion
A tendency to avoid making decisions that might lead to regret, influencing risk-taking and decision-making behaviors.
Reciprocal Altruism
A behavior in which an individual provides a benefit to another with the expectation that the favor will be returned in the future, fostering mutual cooperation and long-term relationships.