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

You might also read

Related Articles

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

Sort by
Same author

Screen-Aware Reverse Tone Mapping.

Journal of imaging·2026
Same author

Multiscale Architecture and Mechanics of the Cell Nucleus: Implications for Disease, Bioengineering and Nanomedicine.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)·2026
Same author

Depression classification based on automatic ontology generation and natural language processing.

Frontiers in psychology·2026
Same author

The Antenatal Origins of Postpartum Distress: A Retrospective Longitudinal Analysis of Depression and Anxiety Trajectories.

Medical sciences (Basel, Switzerland)·2026
Same author

Interactive Teleoperation of an Articulated Robotic Arm Using Vision-Based Human Hand Tracking.

Biomimetics (Basel, Switzerland)·2026
Same author

An Inclusive Offline Learning Platform Integrating Gesture Recognition and Local AI Models.

Biomimetics (Basel, Switzerland)·2025

Related Experiment Video

Updated: Oct 6, 2025

Eye-Tracking Control to Assess Cognitive Functions in Patients with Amyotrophic Lateral Sclerosis
07:00

Eye-Tracking Control to Assess Cognitive Functions in Patients with Amyotrophic Lateral Sclerosis

Published on: October 13, 2016

8.3K

An Efficient System for Eye Movement Desensitization and Reprocessing (EMDR) Therapy: A Pilot Study.

Nicolae Goga1, Costin-Anton Boiangiu2, Andrei Vasilateanu1

  • 1Faculty of Engineering in Foreign Languages, University Politehnica of Bucharest, Splaiul Independentei 313, 060032 Bucharest, Romania.

Healthcare (Basel, Switzerland)
|January 21, 2022
PubMed
Summary
This summary is machine-generated.

This study introduces an AI-powered virtual assistant for eye movement desensitization and reprocessing (EMDR) therapy. The system effectively reduces anxiety and distress in individuals with traumatic memories.

Keywords:
EMDRcyber-physical systemvirtual assistant

More Related Videos

Stereoacuity Improvement using Random-Dot Video Games
06:25

Stereoacuity Improvement using Random-Dot Video Games

Published on: January 14, 2020

14.6K
VisualEyes: A Modular Software System for Oculomotor Experimentation
10:41

VisualEyes: A Modular Software System for Oculomotor Experimentation

Published on: March 25, 2011

12.9K

Related Experiment Videos

Last Updated: Oct 6, 2025

Eye-Tracking Control to Assess Cognitive Functions in Patients with Amyotrophic Lateral Sclerosis
07:00

Eye-Tracking Control to Assess Cognitive Functions in Patients with Amyotrophic Lateral Sclerosis

Published on: October 13, 2016

8.3K
Stereoacuity Improvement using Random-Dot Video Games
06:25

Stereoacuity Improvement using Random-Dot Video Games

Published on: January 14, 2020

14.6K
VisualEyes: A Modular Software System for Oculomotor Experimentation
10:41

VisualEyes: A Modular Software System for Oculomotor Experimentation

Published on: March 25, 2011

12.9K

Area of Science:

  • Psychology
  • Virtual Reality
  • Artificial Intelligence

Background:

  • Eye Movement Desensitization and Reprocessing (EMDR) is a recognized therapy for emotional distress from trauma.
  • Existing EMDR treatments often require in-person sessions.
  • There is a need for accessible, autonomous therapeutic tools for trauma survivors.

Purpose of the Study:

  • To describe a novel actuator-based virtual assistant system for EMDR therapy.
  • To evaluate the system's efficacy in treating individuals with traumatic memories.
  • To address the gap in literature for autonomous EMDR virtual assistant systems.

Main Methods:

  • Development of a virtual assistant integrating video, tactile, and audio actuators.
  • Incorporation of an artificial intelligence chatbot for autonomous operation.
  • Testing the system with 31 participants experiencing distress from traumatic memories.

Main Results:

  • The EMDR virtual assistant system demonstrated significant efficiency.
  • Participants experienced reductions in anxiety, distress, and negative cognitions.
  • The system effectively mitigated negative emotions linked to traumatic memories.

Conclusions:

  • The developed EMDR virtual assistant system is effective for treating traumatic memories.
  • This novel system offers an autonomous and potentially more accessible therapeutic option.
  • The research successfully fills a gap in the literature for advanced EMDR tools.