@inproceedings{cb941ada1e8c46f3bc12819b424950f8,
title = "Applying the uMars Scale to Evaluate a Mindfulness-based mHealth App",
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.",
keywords = "mHealth, mindfulness, Usability",
author = "Lakshmi Panguluri and Morgan Vigi-Hayes and Ashish Amresh",
note = "Publisher Copyright: {\textcopyright} 2024 IEEE.; 12th IEEE International Conference on Serious Games and Applications for Health, SeGAH 2024 ; Conference date: 07-08-2024 Through 09-08-2024",
year = "2024",
doi = "10.1109/SeGAH61285.2024.10639604",
language = "English (US)",
series = "SeGAH 2024 - 2024 IEEE 12th International Conference on Serious Games and Applications for Health",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
editor = "Nuno Rodrigues and {Bermudez I Badia}, Sergi and Vilaca, {Joao L.} and Duarte Duque and {da Silva Cameirao}, Monica and Nuno Dias and Eva Oliveira",
booktitle = "SeGAH 2024 - 2024 IEEE 12th International Conference on Serious Games and Applications for Health",
}