MindMotion: An Interactive Task-Oriented Mobile Platform for Individuals with Parkinson's Disease
Kiana Becca Nunez
Co-Presenters: Individual Presentation
College: Hennings College of Science Mathematics and Technology
Major: BS.COMPUTER/SCI
Faculty Research Mentor: Yan Ma
Abstract:
Title: MindMotion: An Interactive Task-Oriented Mobile Platform for Individuals with Parkinson's DiseaseAuthor: Kiana Becca Nunez, Department of Computer Science and Technology, Kean UniversityAbstract:Parkinson’s disease is a progressive neurological disorder that affects more than 10 million people worldwide and over 1.1 million individuals in the United States. The condition impairs hand movement, motor coordination, and memory. This makes everyday tasks increasingly difficult and places a significant physical, emotional, and financial burden on affected individuals. Although mobile applications exist to support people with Parkinson’s disease, many are limited to clinical assessment tools and often fail to provide accessible motor practice, cognitive exercises, and clear visual feedback tailored to users’ needs.The objective of this research is to design and develop MindMotion, an interactive, task-oriented mobile application that helps individuals with Parkinson’s disease practice cognitive movement and memory skills in a low-stress, accessible environment. This study focuses on building a functional prototype using Android Studio, guided by human-computer interaction principles, usability heuristics, and iterative interface design. The application incorporates simple, intuitive tasks that target fine motor control, tapping accuracy, and memory while tracking user accuracy and errors over time to help users observe changes in performance.This research highlights the growing global impact of Parkinson’s disease and the need for accessible, user-centered digital solutions that support daily living without increasing cognitive or emotional burden. While MindMotion is not intended to replace medical care or cure Parkinson’s disease, it aims to provide meaningful engagement, encourage consistent motor and cognitive practice, and offer users a way to better observe changes in their performance over time. This study also serves as a foundation for future user studies and continued refinement of accessible digital health tools.Keywords: Parkinson’s Disease, Accessibility, Human-Computer Interaction, Mobile Health, Cognitive Training