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Developing Smokers for Smoker (S4S): A Collective Intelligence Tailoring System

NCT02265354 · Status: COMPLETED · Phase: NA · Type: INTERVENTIONAL · Enrollment: 260

Last updated 2020-10-08

No results posted yet for this study

Summary

This study will advance computer tailoring by adapting machine learning collective intelligence algorithms that have been used outside healthcare by companies like Amazon and Google to enhance the personal relevance of the health communication.

Conditions

  • Tobacco Smoking

Interventions

BEHAVIORAL

Collective-Intelligence computer tailored health communication

BEHAVIORAL

Rule-based computer tailored health communication

Sponsors & Collaborators

  • University of Massachusetts, Amherst

    collaborator OTHER

  • National Cancer Institute (NCI)

    collaborator NIH

  • University of Massachusetts, Worcester

    lead OTHER

Principal Investigators

  • Rajani S Sadasivam, PhD · UMass Medical School

Study Design

Allocation
RANDOMIZED
Purpose
TREATMENT
Masking
DOUBLE
Model
PARALLEL

Eligibility

Min Age
19 Years
Sex
ALL
Healthy Volunteers
Yes

Timeline & Regulatory

Start
2017-01-11
Primary Completion
2017-12-28
Completion
2020-06-28

Countries

  • United States

Study Locations

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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 NCT02265354 on ClinicalTrials.gov