Applying the uMars Scale to Evaluate a Mindfulness-based mHealth App

Lakshmi Panguluri, Morgan Vigi-Hayes, Ashish Amresh

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

We present the design of a mHealth application aimed at improving mental health outcomes among young adults representing a Native American population. This study evaluates the application's effectiveness and user-friendliness, allowing for a comprehensive understanding of its performance utilizing the uMARS (Mobile Application Rating Scale) protocol specifically designed to assess the quality of mobile health applications. Our findings indicate that the design meets both customers' (young adults) and experts' (mobile development practitioners) perceptions of the app. Our limitation is the lack of data collection from the population representing the Native American tribe.

Original languageEnglish (US)
Title of host publicationSeGAH 2024 - 2024 IEEE 12th International Conference on Serious Games and Applications for Health
EditorsNuno Rodrigues, Sergi Bermudez I Badia, Joao L. Vilaca, Duarte Duque, Monica da Silva Cameirao, Nuno Dias, Eva Oliveira
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9798350384383
DOIs
StatePublished - 2024
Externally publishedYes
Event12th IEEE International Conference on Serious Games and Applications for Health, SeGAH 2024 - Funchal, Portugal
Duration: Aug 7 2024Aug 9 2024

Publication series

NameSeGAH 2024 - 2024 IEEE 12th International Conference on Serious Games and Applications for Health

Conference

Conference12th IEEE International Conference on Serious Games and Applications for Health, SeGAH 2024
Country/TerritoryPortugal
CityFunchal
Period8/7/248/9/24

Keywords

  • Usability
  • mHealth
  • mindfulness

ASJC Scopus subject areas

  • Computer Science Applications
  • Computer Vision and Pattern Recognition
  • Media Technology
  • Health Informatics
  • Health(social science)

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