Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Fundamental Attribution Error01:14

Fundamental Attribution Error

12.9K
According to some social psychologists, people tend to overemphasize internal factors as explanations—or attributions—for the behavior of other people. They tend to assume that the behavior of another person is a trait of that person, and to underestimate the power of the situation on the behavior of others. They tend to fail to recognize when the behavior of another is due to situational variables, and thus to the person’s state. This erroneous assumption is...
12.9K
Stereotype Content Model02:16

Stereotype Content Model

14.7K
The Stereotype Content Model (SCM) was first proposed by Susan Fiske and her colleagues (Fiske, Cuddy, Glick & Xu, 2002; see also Fiske, 2012 and Fiske, 2017). The SCM specifies that when someone encounters a new group, they will stereotype them based on two metrics: warmth—or that group’s perceived intent, and how likely they are to provide help or inflict harm—and competence—or their ability to carry out that objective. Depending on the warmth-competence...
14.7K
Introduction to Cognitive Psychology01:20

Introduction to Cognitive Psychology

503
Cognitive psychology is the field of psychology dedicated to examining how people think. It attempts to explain how and why we think the way we do by studying the interactions among human thinking, emotion, creativity, language, and problem-solving, as well as other cognitive processes. Cognitive psychology studies how information is processed and manipulated in remembering, thinking, and knowing.
This field emerged in the mid-20th century, following a period dominated by behaviorism, which...
503
Humanistic Psychology01:24

Humanistic Psychology

1.1K
Humanistic psychology emerged in the mid-20th century as a response to the deterministic and pessimistic nature of behaviorism and psychoanalysis. While behaviorism focused on observable behaviors influenced by the environment and psychoanalysis delved into unconscious motivations, both theories suggested that human actions lacked free will. In contrast, humanistic psychology offers a perspective that emphasizes the innate potential for goodness and growth within every individual.
This approach...
1.1K
Reason and Intuition01:37

Reason and Intuition

6.5K
The human brain processes information for decision-making using one of two routes: an intuitive system and a rational system (Epstein, 1994; popularized by Kahneman, 2011 as System 1 and System 2, respectively). The intuitive system is quick, impulsive, and operates with minimal effort, relying on emotions or habits to provide cues for what to do next, while the rational system is logical, analytical, deliberate, and methodical. Research in neuropsychology suggests that the...
6.5K
Observational Learning01:12

Observational Learning

188
Albert Bandura's observational learning, also known as imitation or modeling, occurs when a person observes and imitates another's behavior. It is a quicker process than operant conditioning. A well-known example is the Bobo doll study, where children who saw an adult acting aggressively towards the doll were more likely to act aggressively when left alone, compared to those who observed a nonaggressive adult. Many psychologists view observational learning as a form of latent learning...
188

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Developing a cognitive model of advanced teacher professional vision for understanding processes of noticing and reasoning.

Frontiers in psychology·2026
Same author

Oxygen vacancy-assisted 3DOM TiO<sub>2</sub>-Zn<sub><i>x</i></sub>Cd<sub>1-<i>x</i></sub>S heterojunctions for enhanced photocatalytic hydrogen production.

Dalton transactions (Cambridge, England : 2003)·2026
Same author

Prognostic model of endoplasmic reticulum stress-related lncRNAs in lung adenocarcinoma: Construction and validation using WGCNA.

Advances in clinical and experimental medicine : official organ Wroclaw Medical University·2026
Same author

Reliability analysis of horseshoe tunnels by radial-based importance sampling method based on complex function displacement solution.

PloS one·2026
Same author

Orchestrating homolog segregation in meiosis I: molecular logic and regulatory networks with emphasis on male metaphase I.

Cell communication and signaling : CCS·2026
Same author

<i>Pentatrichomonas hominis</i> Infection Induces Chronic Intestinal Inflammation in Immunocompetent Mice.

Transboundary and emerging diseases·2025

Related Experiment Video

Updated: Jul 11, 2025

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems
05:47

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems

Published on: June 13, 2025

241

Towards Human-Centered Explainable AI: A Survey of User Studies for Model Explanations.

Yao Rong, Tobias Leemann, Thai-Trang Nguyen

    IEEE Transactions on Pattern Analysis and Machine Intelligence
    |November 13, 2023
    PubMed
    Summary

    Explainable AI (XAI) user studies are sparse and lack insights from social sciences. This review proposes guidelines for better human-centered XAI evaluations, emphasizing trust, understanding, and collaboration.

    More Related Videos

    Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
    03:14

    Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness

    Published on: December 6, 2024

    596
    Characterization of the Sense of Agency over the Actions of Neural-machine Interface-operated Prostheses
    05:21

    Characterization of the Sense of Agency over the Actions of Neural-machine Interface-operated Prostheses

    Published on: January 7, 2019

    8.0K

    Related Experiment Videos

    Last Updated: Jul 11, 2025

    Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems
    05:47

    Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems

    Published on: June 13, 2025

    241
    Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
    03:14

    Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness

    Published on: December 6, 2024

    596
    Characterization of the Sense of Agency over the Actions of Neural-machine Interface-operated Prostheses
    05:21

    Characterization of the Sense of Agency over the Actions of Neural-machine Interface-operated Prostheses

    Published on: January 7, 2019

    8.0K

    Area of Science:

    • Human-Computer Interaction (HCI)
    • Artificial Intelligence (AI)
    • Cognitive Science

    Background:

    • Explainable AI (XAI) is crucial for AI research advancement.
    • Understanding user needs and conducting human-centered evaluations are key challenges in XAI.
    • Systematic reviews are needed to assess current XAI user study practices.

    Conclusions:

    • There is a need for more robust and interdisciplinary user studies in XAI.
    • Practical guidelines are proposed to improve the design and execution of XAI user studies.
    • Future research should focus on integrating psychological science with human-centered XAI.