Katja Leiviskä

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It is well known that girls are not interested in computer science, information systems (IS), and software engineering studies. While the underlying reasons for this phenomenon have been studied in the US, Canada, and Australia, only a few studies have been carried out in Europe and in Scandinavia. To fill this gap in the research, we have analyzed the(More)
This article studies physicians’ mobile user experiences with evidence-based medical guidelines and drug information databases through the concept of webflow. Data was collected among the 352 users of a mobile medical application. The response rate was 66.5% (n=234). The results demonstrate that rather than usefulness and ease of use it is the orientation(More)
The use of neural networks is popular in various building applications such as prediction of heating load, ventilation rate and indoor temperature. Significant is, that only few papers deal with indoor carbon dioxide (CO2) prediction which is a very good indicator of indoor air quality (IAQ). In this study, a data-driven modelling method based on multilayer(More)
Continuous measurements and multivariate methods are applied in researching the effects of energy consumption on indoor air quality (IAQ) in a Finnish one-family house. Measured data used in this study was collected continuously in a house in Kuopio, Eastern Finland, during fourteen months long period. Consumption parameters measured were the consumptions(More)
This chapter seeks for deeper understanding of the user experience in mobile healthcare settings. It studies physicians’ mobile user experiences with evidence-based medical guidelines and drug information databases with the concept of flow as the research vehicle. The data was collected among all of the 352 users of a mobile medical application. The(More)
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