Leadership Auditorium, 2501 MU Student Center
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.