Learning from use and users over time
Directing the focus of this collaboration is the guiding research question: What signifies appropriate design of system intelligence using real-time context-cues and use-data collected over time? As the project builds upon the first cycle between 2014–2017 (see the CACT project), a strong understanding for the complementing roles and responsibilities of practitioners and researchers already exists. As the project during the first cycle went beyond a strict consumer focus, the second cycle recognizes this by removing ‘consumer’ from the project name.
In relation to the first cycle, this second cycle is framed to better support the interests of multiple case studies over different business units and products, and holds a deeper interest in data-driven analysis, modelling and development. The second cycle maintains the same focus on context-awareness, but is placing greater emphasis on identifying use patterns from collected data that can be used as context-cues, and how this can benefit the design of intelligent systems as well as users of such systems. The project provides a contribution to research as it expands the view on context-aware systems beyond the largely sensor and real-time based interpretations that has dominated the area thus far. Doing this in collaboration with industry further ensures that the contributions apply and may be useful in practice, thus validating its relevance to society.
Application area: Smart Living
Partners: Malmö University, Sony Mobile
Project period: 2018–2019
Funding: The project is funded by the Knowledge Foundation within the Internet of Things and People Research Profile, Malmö University, and the business partners.
Contact: The project is coordinated by Carl Magnus Olsson, IOTAP, Malmö University.