Redesigning the Receipts Through An Balanced Study of HCI and Design
Cognitive Load is the amount of "processing" your brain does when learning something new. This project investigates ways to lower the cognitive load while learning to program.
The air travel experience is notorious for being cumbersome, tiring, and downright stressful. Is there a way we could help eliminate or reduce some of these pain points for travelers? The goal of this study is to understand the needs of different kinds of travelers and see how the air travel experience could be improved from a baggage perspective. The output of this project is a functional prototype to help travelers get their bags where they need to go and spend as little time waiting at the airport as possible.
The Reflect! platform is designed to organize Reflective Consensus Building on Wicked Problems in small teams. Examples wicked problems are complex policy issues such as health care reform, poverty, global trade, or climate change; the regulation of new and emerging technologies; the design of products and technologies; and planning processes that involve different stakeholders.
An artificial Intelligent based system that performs meal planning and management based on medical conditions, dietary preferences, adaptive learning, and memory receptiveness; thereby reducing the cognitive load of the cognitive impaired diabetic aging user.
This research addresses the privacy, security, and compliance challenges faced by university researchers and ethics review boards when working on data science projects. Due to the emergent properties of big data, researchers regularly re-evaluate and modify their goals. These changes must be reflected in the project's governing documents, including research protocols, consent forms, privacy and security policies, and data-use agreements.
Multiple studies have shown a consistently strong association between gait speed of frail older adults and negative functional (e.g., survival) and activity outcomes. However, health care professionals have been slow to measure this physiologic parameter, largely due to the lack of a simple, standardized way of measuring it.
This project will bring together the static (e.g., sidewalk condition, street networks, characteristics of land use) and dynamic (e.g., traffic volumes, weather, and light quality) characteristics of the environment that are monitored close to real time into one decision support system for route planning.
Lacking information provided about airport environments and route conditions makes it difficult for air travelers to plan indoor trips at airports and anticipate possible environmental barriers, which could lead to navigation difficulties. An application that provides real-time environmental information has been designed to facilitate trip planning at airports for travelers, especially those with functional limitations. In this project, we conducted a set of studies to define and further understand the problem of airport navigation and developed a mobile application as the solution.
A majority of individuals diagnosed with multiple sclerosis (MS) experience a significant decline in their abilities due to the progression of MS after five years post-diagnosis. Following this period, they need to learn how to cope with the functional limitations caused by the disease and how to age with MS. They must manage effects of the disease on their lives on a daily basis. Self-management activities can help with this challenge.
The needs and abilities of people who are aging with progressive chronic conditions, such as MS, Parkinson's, ALS and Arthritis fluctuate from day to day. Yet, even when they have supportive AT, such as grab bars, to compensate for functional limitations, those features are fixed, only able to support some abilities, some of the time. The purpose of this project is to develop a SmartBathroom environment capable of assessing an individual's abilities at any point in time and spontaneously adjusting supportive environmental features to accommodate those abilities.
The internet, mobile, and social media technologies have been successful in connecting large segments of the world's population, generating wide access to global networks of information. There are several clusters of unconnected/under-connected populations across the world, however, who do not have access due to financial, social, or political limitations.
Juvenile idiopathic arthritis (JIA) is the most common cause of chronic childhood arthritis, affecting 1 in 1000 children.
This project aims to ensure that the dignity of a Parkinson's patient is maintained during interactions with caregivers using a robot as a co-mediator. The mediator will hold a mental representation of the patient's and caregiver's emotional state and react accordingly. The co-mediator will express the patient's internal emotional state through spatial and emotive gestures.