Events

Seminar Series

Presenter:

Zhijian Luan

Date:

11-01-2018

Time:

4:00pm-4:30pm

Location:

Leadership Auditorium, 2501 MU Student Center

Study of A Visualization Tool Development in Health Informatics

The volume and complexity of data continue to increase in the world around us, including science, business, medicine and everyday human activity. Handling these diverse data to simple and intuitive representation, using simple design and intuitive interaction for non-informatics or non-statistics expert is a pursuance for informatics researchers. Nowadays, the data visualization technology and the internet can bring meaningful information to meet the specific user needs due to it not only presents a visual data interpretation but also improves comprehension and communication with users.  As an example, autism (ASD, Autism Spectrum Disorder) is a disease considered to be a neurodevelopment disorder characterized by deficits in social communication, social interactions, restricted and repetitive behaviors. The research suggests that both genes and environment are reasons to cause autism. The data-driven discovery methods have also been used for autism research and produced a large amount of data. How to represent these data effectively and efficiently is a big challenge. Based on the cognitive theory, this study makes efforts to bind data visualization technology, computer science and human-factors engineering with the research results of data mining for autism disease to create a framework of Human-Computer Interaction (HCI) which with the characters of interface, interaction and higher usability. The aim of this study is to use this framework to disseminate data-driven discoveries in health informatics in the future.

Seminar Series

Presenter:

Qing Ye

Date:

11-01-2018

Time:

3:30pm-4:00pm

Location:

Leadership Auditorium, 2501 Student Center

Promoting Healthy Coping in seniors 72 years or older with Type 2 Diabetes: A feasibility study of a mobile diabetes self-management and support application on functionality, readability, and usability

One out of four Americans older than 65 years old has diabetes. Type 2 diabetes accounts for about 90% to 95% of all diagnosed cases of diabetes. Mobile health technology provides possible solutions for seniors with type 2 diabetes to manage their daily lives. However, our preliminary research shows that only 10% of diabetes apps provided features related to Healthy Coping, which is one principle from the American Association of Diabetes Educators Self-Care Behaviors™, enables people with diabetes to find healthy ways to cope with stress. To alleviate this problem, we have designed a prototype of Healthy Coping mobile app for seniors 72 years or older with type 2 diabetes. Feasibility tests are used to identify if the mobile app will work for the target population as it was designed. To verify whether this Healthy Coping app will be used by seniors 72 years or older with type 2 diabetes, the three most important feasibility tests on functionality, readability, and usability testing will be conducted. Functional testing should be the first thing to test which will confirm that all the functions execute as they are designed. Conducting readability testing will verify whether the app is easy for seniors to read and understand. Conducting usability testing will verify whether the app is easy to use for seniors.

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