Attribution Theory
A theory that explains how individuals determine the causes of behavior and events, including the distinction between internal and external attributions.
A theory that explains how individuals determine the causes of behavior and events, including the distinction between internal and external attributions.
A test proposed by Alan Turing to determine if a machine's behavior is indistinguishable from that of a human.
Qualitative data that provides insights into the context and human aspects behind quantitative data.
Human-Computer Interaction (HCI) is the study of designing interfaces and interactions between humans and computers.
The observed tendency of humans to quickly return to a relatively stable level of happiness despite major positive or negative events or life changes.
A psychological phenomenon where individuals are perceived as more likable if they make a mistake, provided they are generally competent.
A framework that explores the structure and function of stories and how they influence human cognition and behavior.
Large Language Model (LLM) is an advanced artificial intelligence system trained on vast amounts of text data to understand and generate human-like text.
The study of the interplay between individuals and their surroundings, including built environments and natural settings.