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

Exploring Older Adults' Use of AI Voice Assistants Through the Lens of Self-Determination Theory.

Health communication·2026
Same author

Tasimelteon inhibits glioma proliferation by inducing ferroptosis via the SP1/ACSL4 pathway.

Cellular oncology (Dordrecht, Netherlands)·2026
Same author

Breeding and Molecular Characterization of Insect-Resistant Transgenic Cotton.

Plants (Basel, Switzerland)·2026
Same author

Investigating the Pro-Angiogenic Mechanism of Diammonium Glycyrrhizinate Injection in Zebrafish via Transcriptomic Analysis and RT-qPCR Validation.

Journal of applied toxicology : JAT·2026
Same author

Users' prompting strategies and ChatGPT's contextual adaptation shape conversational information-seeking experiences.

Scientific reports·2026
Same author

When Distrust Shapes News Choice: Perceptions of Mis- and Disinformation and News Consumption Across Traditional and Social Media Outlets.

Cyberpsychology, behavior and social networking·2026

Related Experiment Video

Updated: May 24, 2025

Author Spotlight: Enhancing Post-Stroke Upper Limb Rehabilitation with Robotic Technologies for Improved Motor Recovery and Functional Outcomes
04:49

Author Spotlight: Enhancing Post-Stroke Upper Limb Rehabilitation with Robotic Technologies for Improved Motor Recovery and Functional Outcomes

Published on: September 6, 2024

598

Enhancing physical activity through a relational artificial intelligence chatbot: A feasibility and usability study.

Yoo Jung Oh1, Kai-Hui Liang2, Diane Dagyong Kim3

  • 1Department of Communication, Michigan State University, East Lansing, Michigan, USA.

Digital Health
|March 5, 2025
PubMed
Summary
This summary is machine-generated.

A pilot study found that a relational artificial intelligence (AI) chatbot intervention effectively maintained physical activity levels over one week, unlike a non-relational AI chatbot.

Keywords:
Artificial intelligencechatbothuman–AI communicationmobile interventionphysical activity

More Related Videos

Brain-Computer Interface-controlled Upper Limb Robotic System for Enhancing Daily Activities in Stroke Patients
06:11

Brain-Computer Interface-controlled Upper Limb Robotic System for Enhancing Daily Activities in Stroke Patients

Published on: April 18, 2025

217
A Novel Digital Platform for a Monitored Home-based Cardiac Rehabilitation Program
04:24

A Novel Digital Platform for a Monitored Home-based Cardiac Rehabilitation Program

Published on: April 19, 2019

11.5K

Related Experiment Videos

Last Updated: May 24, 2025

Author Spotlight: Enhancing Post-Stroke Upper Limb Rehabilitation with Robotic Technologies for Improved Motor Recovery and Functional Outcomes
04:49

Author Spotlight: Enhancing Post-Stroke Upper Limb Rehabilitation with Robotic Technologies for Improved Motor Recovery and Functional Outcomes

Published on: September 6, 2024

598
Brain-Computer Interface-controlled Upper Limb Robotic System for Enhancing Daily Activities in Stroke Patients
06:11

Brain-Computer Interface-controlled Upper Limb Robotic System for Enhancing Daily Activities in Stroke Patients

Published on: April 18, 2025

217
A Novel Digital Platform for a Monitored Home-based Cardiac Rehabilitation Program
04:24

A Novel Digital Platform for a Monitored Home-based Cardiac Rehabilitation Program

Published on: April 19, 2019

11.5K

Area of Science:

  • Digital Health
  • Behavioral Science
  • Artificial Intelligence

Background:

  • Mobile app-based interventions are increasingly used for behavior change.
  • The role of relational capacity in AI chatbots for health interventions is under-explored.
  • Physical activity is crucial for public health, yet adherence remains a challenge.

Purpose of the Study:

  • To assess the usability, feasibility, and initial efficacy of a mobile app-based relational AI chatbot (Exerbot) for increasing physical activity.
  • To compare a relational AI chatbot with a baseline non-relational AI chatbot in a randomized controlled trial.

Main Methods:

  • A 1-week pilot randomized controlled trial involving 36 participants.
  • Participants were assigned to interact with either a relational AI chatbot or a control (non-relational) AI chatbot.
  • Physical activity was objectively measured using smartphone pedometers.

Main Results:

  • The study demonstrated feasibility with high enrollment (36 participants) and retention (94%).
  • Daily engagement with the AI chatbot exceeded 88% across both groups.
  • Participants using the relational AI chatbot maintained step counts, while the control group showed a decrease; stronger social bonds were reported with the relational chatbot.

Conclusions:

  • Relational AI chatbots show promise for cost-effective, accessible, and sustainable behavior change interventions.
  • This AI-driven approach may offer benefits for individuals with limited access to traditional interventions.
  • Further research into AI's relationship-building capabilities for health behaviors is warranted.