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

Reason and Intuition01:37

Reason and Intuition

7.6K
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...
7.6K
Attribution01:26

Attribution

347
In social interactions, individuals frequently seek to understand the motivations and causes behind others' behaviors. This fundamental aspect of social perception, known as attribution, plays a crucial role in shaping interpersonal relationships and guiding future actions. Attribution refers to the cognitive process through which people infer the reasons behind others' behaviors, allowing them to assess character traits, intentions, and situational influences.Attribution Theory and Its...
347
Fundamental Attribution Error01:14

Fundamental Attribution Error

14.0K
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...
14.0K
Theory of Attribution I: Correspondent Inference Theory01:15

Theory of Attribution I: Correspondent Inference Theory

683
Correspondent inference theory, proposed by Jones and Davis in 1965, seeks to explain how individuals infer stable personality traits from observed behaviors. It suggests that people attribute actions to underlying dispositions rather than external circumstances, particularly when the behavior appears intentional and socially significant.Voluntary Behavior and Dispositional AttributionAccording to this theory, individuals are more likely to attribute behavior to personal traits when it appears...
683
Theory of Attribution II: Kelley's Covariation Theory01:29

Theory of Attribution II: Kelley's Covariation Theory

766
Attribution theory plays a crucial role in social psychology, helping to explain how individuals interpret the causes of behavior. One prominent model within this field is Harold Kelley's covariation theory, which provides a systematic approach to determining whether internal traits or external circumstances drive a person's actions. The model posits that individuals rely on three key types of information—consensus, consistency, and distinctiveness—to make these judgments.Consensus:...
766
Attribution Theory00:56

Attribution Theory

13.9K
Behavior is a product of both the situation (e.g., cultural influences, social roles, and the presence of bystanders) and of the person (e.g., personality characteristics). Subfields of psychology tend to focus on one influence or behavior over others. Situationism is the view that our behavior and actions are determined by our immediate environment and surroundings. In contrast, dispositionism holds that our behavior is determined by internal factors (Heider, 1958).
13.9K

You might also read

Related Articles

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

Sort by
Same author

Distance Computation Based on Coupled Spin-Torque Oscillators: Application to Image Processing.

Physical review applied·2026
Same author

Foci, waves, excitability: Self-organization of phase waves in a model of asymmetrically coupled embryonic oscillators.

Physical review. E·2026
Same author

Pattern Formation in Cell Cultures.

Annual review of biophysics·2026
Same author

Impact of Low Hematocrit on On-Pump Coronary Artery Bypass Graft Surgery Outcomes.

Cureus·2025
Same author

Outbreak of Mumps among school children in a military setting in a South-West coastal district of India: November-December 2023.

Medical journal, Armed Forces India·2025
Same author

Neuromorphic computing for robotic vision: algorithms to hardware advances.

Communications engineering·2025

Related Experiment Video

Updated: Mar 3, 2026

The Adventures of Fundi Intervention Based on the Cognitive and Emotional Processing in Attention Deficit Hyperactive Disorder Patients
05:48

The Adventures of Fundi Intervention Based on the Cognitive and Emotional Processing in Attention Deficit Hyperactive Disorder Patients

Published on: June 12, 2020

6.5K

MATRIX: Mental heAlth diagnostics Through Real time Intelligent unified X-AI attribution reasoning.

Sweety Ramnani1, Kaushik Roy1, Amit Sheth1

  • 1Computer Science Department, Artificial Intelligence Institute, University of South Carolina, Columbia, SC, United States.

Frontiers in Digital Health
|March 2, 2026
PubMed
Summary

A novel AI system, MATRIX, offers real-time diagnostic support for mental healthcare using the Patient Health Questionnaire-9 (PHQ-9). It provides explainable AI (XAI) reasoning, improving diagnostic accuracy and clinician trust for better patient care.

Keywords:
PHQ-9SNOMED-CTattributionexplainable AImental healthreal-time diagnostics

Related Experiment Videos

Last Updated: Mar 3, 2026

The Adventures of Fundi Intervention Based on the Cognitive and Emotional Processing in Attention Deficit Hyperactive Disorder Patients
05:48

The Adventures of Fundi Intervention Based on the Cognitive and Emotional Processing in Attention Deficit Hyperactive Disorder Patients

Published on: June 12, 2020

6.5K

Area of Science:

  • Artificial Intelligence in Healthcare
  • Mental Health Diagnostics
  • Clinical Decision Support Systems

Background:

  • Global rise in mental health issues strains healthcare capacity.
  • Shortage of mental health professionals limits access to care.
  • AI offers potential to augment clinical support beyond basic diagnostics.

Purpose of the Study:

  • Introduce MATRIX, an AI-powered real-time diagnostic support system for mental healthcare.
  • Integrate explainable AI (XAI) for transparent and attributable diagnostic reasoning.
  • Enhance clinical workflow and patient throughput in mental health services.

Main Methods:

  • Developed MATRIX, an AI system using natural language interaction and the Patient Health Questionnaire-9 (PHQ-9).
  • Employed X-AI Attribution Reasoning framework for explainable diagnostic logic.
  • Validated through controlled clinical simulations focusing on usability and alignment with clinical practices.

Main Results:

  • Achieved over 89% classification accuracy in pilot evaluations.
  • Demonstrated high clinician satisfaction with the system's transparency and reasoning.
  • Confirmed usability and alignment with real-world assessment practices.

Conclusions:

  • AI-driven diagnostic support systems like MATRIX can significantly enhance mental healthcare capacity.
  • Explainable AI (XAI) fosters trustworthy human-AI collaboration in clinical settings.
  • MATRIX improves efficiency, reduces diagnostic time, and supports better patient access to care.