Computer Agents to Promote Walking in the Elderly

NCT00959712 · Status: COMPLETED · Phase: NA · Type: INTERVENTIONAL · Enrollment: 263

Last updated 2023-06-29

No results posted yet for this study

Summary

This proposal is a randomized control trial using innovative interactive health technologies to promote and sustain walking behavior among elderly patients. The technology uses an Embodied Conversational Agent (ECA), a computer character that simulates face-to-face conversation. The trial will be block randomized by literacy status and include an intensive two-month, daily contact intervention via a Tablet PC ECA in the subject's home, an automated telephone program, and then an in-clinic, kiosk-based ECA for an additional 10 months, to promote maintenance of walking behavior. The study will occur in 2 phases, a pilot phase in which 20 subjects will be enrolled for the purpose of pre- testing the intervention and all data collection instruments, and a main study phase in which an additional 264 subjects will be enrolled.

Conditions

  • Aging

Interventions

BEHAVIORAL

ECA Interaction

The technology uses a computer character (Embodied Conversational Agent (ECA)) that simulates face-to-face conversation. The ECA talks to the patient and the patient responds by tapping a touch-screen.

Sponsors & Collaborators

  • Northeastern University

    collaborator OTHER
  • Stanford University

    collaborator OTHER
  • Boston Medical Center

    lead OTHER

Principal Investigators

  • Rebecca A Silliman, MD, PhD · Boston University

Study Design

Allocation
RANDOMIZED
Purpose
PREVENTION
Masking
NONE
Model
PARALLEL

Eligibility

Min Age
65 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2008-10-31
Primary Completion
2011-09-30
Completion
2011-09-30

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT00959712 on ClinicalTrials.gov