Intelligent user interfaces for internet-of-things based web applications
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[ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT REQUEST OF AUTHOR.] There is a growing need for Intelligent User Interfaces to visually make sense of the enormous data that is being created within web applications that are based on emerging Internet-of-Things technologies. A variety of smart devices over cloud/fog edge networks can generate huge amounts of data that has to be collected, analyzed in real-time to gain actionable insights. A good example of such needs can be seen in verticals such as the healthcare market, where intelligent user interfaces are needed for effective communication between medical incident commanders (ICs) and first responders (paramedics) at mass casualty disaster incident (MCI) sites in order to co-ordinate resources and information sharing. Data from various trusted sources at the MCI sites needs to be effectively analyzed and presented via intelligent user interfaces that are easily usable by ICs to make critical decisions that can potentially save patients' lives. In this MS Thesis, we address the problem of designing intelligent user interfaces by studying two use cases within a next-generation MCI coordination platform viz., "Panacea's Cloud". Panacea's Cloud can help with patient triage related real-time data analysis challenges for creating visual situational awareness. In addition, it can also provide augmented reality benefits with real-time human communication and geolocation services through the integration of a standardized Incident Command System (ICS) with smart devices such as heads-up displays, virtual beacons, and wireless mesh network elements. We show how Panacea's Cloud can run an intelligent dashboard with user interfaces that leverage fog resources and data collection close to the MCI sites. Post disaster, we show how a mHealth related Intelligent Dashboard can monitor and analyze the patients' recovery that is calculated from data extracted from wearable devices such as e.g., Fitbit. We use mixed methods in our usability testing with users including clinical experts who served as ICs, and demonstrate how Panacea's Cloud intelligent user interfaces was iteratively designed to provide improved communication and MCI coordination opportunities in comparison to traditional ICS. Our research results are exemplar in demonstrating how IoT-based web applications can be futuristically designed for smart healthcare applications with effective and efficient user interfaces. Keywords: IoT-based application, situation awareness, front-end intelligence, usability study, user-satisfaction design, mass causality incidents, disaster management system, emergency system, front-end services, wearable devices, Fitbit, patient treatment, sensitive data security
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