Unknown

Dataset Information

Usability and Satisfaction Testing of Game-Based Learning Avatar-Navigated Mobile (GLAm), an App for Cervical Cancer Screening: Mixed Methods Study.


ABSTRACT:

Background

Barriers to cervical cancer screening in young adults include a lack of knowledge and negative perceptions of testing. Evidence shows that mobile technology reduces these barriers; thus, we developed a web app, Game-based Learning Avatar-navigated mobile (GLAm), to educate and motivate cervical cancer screening using the Fogg Behavioral Model as a theoretic guide. Users create avatars to navigate the app, answer short quizzes with education about cervical cancer and screening, watch videos of the screening process, and earn digital trophies.

Objective

We tested ease of use, usefulness, and satisfaction with the GLAm app among young adults.

Methods

This mixed methods study comprised a qualitative think-aloud play interview session and a quantitative survey s

SUBMITTER: Wanberg LJ 

PROVIDER: S-EPMC10445170 | biostudies-literature | 2023 Aug

REPOSITORIES: biostudies-literature