Smart Information Systems
Smart Information Systems
What are the critical factors to a successful smart information system? How do you to determine the quality of a system?
The Quality of Experience (QoE) is at a satisfactory level when a smart information systems work as intended. The QoE is an important metric a system owner needs to consider in a system’s performance evaluation. We can use objective (measurable) and subjective (personally experienced) parameters, as well as sensor data and other observations. We can use these metrics to define the user experience (UX). If the UX of a system is not sufficient, a system will probably be abandoned by the producer and consumer, who can select among many choices.
The research group for smart information systems works on defining metrics and evaluation of QoE, as well as defining and applying best practices to design systems that promise an optimal experience. Smart information systems will adapt when measurements suggest that the current UX is changing; this is done to always have satisfied users. To be adaptive, smart information systems need to employ sensors that are minimally intrusive; at the same time, requirements of privacy, security, usability, and universal design need to be fulfilled.
- User Experience (UX) research: UX is defined as the way a person feels about using a product, system, or service. Quality of Experience (QoE), a subjective measure of a user’s experience with a service or system. Aspects of functionality, usability, universal design, security, etc. are ingredients of such a measure. UX methods can be applied to a variety of applications, ranging from access to cultural resources, three-dimensional presentations, eHealth, and ambient assisted living.
- eHealth, the use of ICT in health care and welfare, is challenging. Communicating systems, the Internet of Things (IoT), sensors, and mobile health care applications are ingredients to optimise this sector. Medical digital items (MDI), semantics in health data, OpenEHR, and personal health records (PHR) are promising concepts.
- OCLM (open content lifecycle management) follows up the activity on collaborative editing, development of version control for several types of content, relation to licenses for content, and non-destructive editing.
- Licensing of data and content is important for IT systems where producers and consumers stand for much of the content that is produced; open source, open data, open content, and their relationship to innovation, business models, open innovation, license compatibility, and mobile apps is in the focus of this research area. This is treated more in the courses INF5780/ITLED4240 at the University of Oslo.