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Related Concept Videos

Levels of Health Promotion and Illness Prevention01:26

Levels of Health Promotion and Illness Prevention

Health promotion allows a person to control the determinants of health, resulting in an improved health status. It enhances the quality of life and reduces premature deaths. Health promotion and illness prevention programs help people make beneficial choices to reduce the risk of disease and disabilities. There are three health promotion and illness prevention levels: primary, secondary, and tertiary prevention.
In primary prevention, actions taken before disease onset prevent the disease from...
Models of Health Promotion and Illness Prevention I01:25

Models of Health Promotion and Illness Prevention I

A model is a theoretical way to understand a concept or an idea. Models can overcome barriers to health regardless of diverse economic and cultural backgrounds. In addition, models make the task easier by providing different ways to approach complex issues. There are two major health promotion models: the health belief model and the health promotion model.
The health belief model (HBM) attempts to predict health-related behavior in specific belief patterns. According to the HBM, a person's...
Models of Health Promotion and Illness Prevention II01:18

Models of Health Promotion and Illness Prevention II

The person's health status fluctuates continually, varying from being in good health to becoming ill and returning to being healthy. To understand the concept of illness prevention, there are two models. First, the health-illness continuum model is a graphic representation of an individual's wellness. It states that a person is considered healthy in the absence of physical disease and the presence of good emotional health.
The agent-host-environment model states that disease results from...
Community Based Intervention01:30

Community Based Intervention

Community-based interventions in mental health represent a paradigm shift from institution-centered care to treatments embedded within the fabric of local communities. By prioritizing inclusion and leveraging existing societal structures, this approach fosters a supportive environment conducive to addressing mental health challenges while promoting individual dignity and agency.
Foundations of Community Mental Health Programs
Central to the success of community-based interventions is the...

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Related Experiment Video

Updated: Jun 14, 2026

Visualization of Intensity Levels to Reduce the Gap Between Self-Reported and Directly Measured Physical Activity
05:59

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Published on: March 7, 2019

Using Relational Agents to Promote Exercise and Sun Protection: Assessment of Participants' Experiences With Two

Marie A Sillice1, Patricia J Morokoff2, Ginette Ferszt3

  • 1Department of of Psychiatry and Human Behavior, Butler Hospital, Brown University, Providence, RI, United States.

Journal of Medical Internet Research
|February 9, 2018
PubMed
Summary

Relational agents (RAs) effectively engaged participants in behavior change for exercise and sun protection. Participants found RAs supportive and satisfying, though some noted repetitive interactions.

Keywords:
eHealthexercisequalitative methodsrelational agentssun protection

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Area of Science:

  • Human-computer interaction
  • Behavioral science
  • Health psychology

Background:

  • Relational agents (RAs) are computational figures designed to facilitate behavior change.
  • Project RAISE investigated RAs combined with computer-based interventions for exercise and sun protection.
  • Previous findings indicated potential effectiveness but highlighted the need for further RA development.

Purpose of the Study:

  • To evaluate participants' experiences with relational agents.
  • To assess the impact of RAs on engagement and behavior change.
  • To understand user perceptions of RA interaction quality.

Main Methods:

  • A qualitative approach using semistructured interviews with a 25-question guide.
  • Quantitative satisfaction ratings on a 1-10 scale.
  • Summative analysis of qualitative data and ANOVA for gender differences in satisfaction.

Main Results:

  • 44% of RA group participants completed interventions; 16% completed interviews.
  • Participants reported motivation and satisfaction, viewing RAs as supportive and informative.
  • Majority (65%) saw RAs as key to behavior change; satisfaction scores ranged 7-10, with no gender differences.

Conclusions:

  • Relational agents offer an innovative platform for promoting health behaviors.
  • RAs can be effective in increasing exercise and sun protection behaviors.
  • Further development of RAs may enhance their utility in behavior change interventions.