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Human–computer interactionHealth & medicineSoftware, apps & webMedicine

A Community-Informed Cyber-Physical Simulation Framework for Aging-Related Caregiving Interaction

Fall 20261 spot leftTeam of 4No specific skills listed

About the project

This project aims to develop an interactive, VR -based healthcare simulation platform to support training in aging care. The project focuses on designing lifelike scenarios that replicate real-world challenges faced by older adults, caregivers, and healthcare professionals. Using AI-driven technologies, simulation will enable users to interact with virtual patients in immersive, dynamic environments. These simulations will include realistic communication, decision-making tasks, and environmental interactions to enhance learning outcomes.

Undergraduate team members will contribute to both the technical and research aspects of the project. This includes developing VR-based environments, implementing interactive features in Unity, assisting with data collection, and supporting user studies involving participants such as older adults and healthcare trainees. Students will also help analyze qualitative and quantitative data to improve the simulation design and functionality.

Who they're looking for

As written by the team

Team members applying for this project are expected to have experience or interest in research related to Virtual Reality (VR), healthcare technology, or aging. Basic programming skills (e.g., Python, C#, or Unity-based development) are preferred but not required. An interest or background in computer science, engineering, kinesiology, health sciences, or related fields is preferred. A willingness to learn and apply VR and Unity tools to develop interactive healthcare simulations is essential.

No specific skills listed. Anyone interested can reach out.

Nice to have

Virtual realityProgramming (any language)UnityComputer scienceEngineering (any field)Kinesiology / exercise scienceHealth sciences

Skills and topics are detected automatically (word list, plus AI for wording the list misses). The original wording on KRSP is what counts.

People

Team leader

Megha Parikh

Nursing Postdoctoral Scholar

Faculty mentor
Ladda Thiamwong, PhD

Contact details are on the KRSP listing. We don't copy them here.