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 Experiment Videos

Computerized content analysis of conversational interactions.

Louis A Gottschalk1, Robert J Bechtel, Timothy G Buchman

  • 1Psychiatry and Human Behavior, University of California-Irvine, Medical Science 1, D 437 Irvine, CA 92697-1675, USA. lgottsch@uci.edu

Computers, Informatics, Nursing : CIN
|September 25, 2003
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

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

Sort by
Same author

Navigating the artificial intelligence landscape in trauma, critical care and emergency general surgery: insights from the American Association for the Surgery of Trauma (AAST) 2025 Annual Meeting Panel Discussion.

Trauma surgery & acute care open·2026
Same author

"Catch My Drift?"

Critical care medicine·2026
Same author

The authors reply.

Critical care medicine·2025
Same author

Effect of Monetary Incentives on Peer Review Acceptance and Completion: A Quasi-Randomized Interventional Trial: Erratum.

Critical care medicine·2025
Same author

The authors reply.

Critical care medicine·2025
Same author

Fair Use of Augmented Intelligence and Artificial Intelligence in the Preparation and Review of Submissions to the Society of Critical Care Medicine Journals: Critical Care Medicine, Pediatric Critical Care Medicine, and Critical Care Explorations.

Pediatric critical care medicine : a journal of the Society of Critical Care Medicine and the World Federation of Pediatric Intensive and Critical Care Societies·2025

This study introduces a new computerized method to analyze the emotional impact of serious illness on patients and their families during conversations. The technique graphically illustrates neuropsychological interactions, offering insights into psychodynamics in stressful care situations.

Area of Science:

  • Psychology
  • Medical Communication
  • Computational Linguistics

Background:

  • The emotional impact of illness is crucial in patient care.
  • Existing speech analysis methods were limited to single samples.
  • Analyzing complex conversations about critically ill patients requires advanced tools.

Purpose of the Study:

  • To extend computerized speech content analysis to conversational interactions.
  • To develop a graphic method for illustrating neuropsychological interchanges in patient care discussions.
  • To apply this method to conversations involving seriously ill surgical patients.

Main Methods:

  • Recorded and transcribed conversations among healthcare providers and family members.
  • Utilized a computerized content analysis program to score utterances on 14 neuropsychological dimensions.

Related Experiment Videos

  • Developed a graphic representation of sequential scores to visualize emotional interactions.
  • Main Results:

    • Successfully extended computerized content analysis to conversational data.
    • Created a novel graphic method to illustrate neuropsychological exchanges.
    • Demonstrated the method's ability to provide insights into psychodynamics during stressful patient care situations.

    Conclusions:

    • Computerized content analysis of speech can be effectively applied to complex conversations.
    • The developed graphic method offers a unique way to visualize emotional and psychological dynamics in critical care settings.
    • This approach enhances understanding of the psychodynamics involved in the care of seriously ill patients.