Department of Applied Research in Information Technology - DART
The department has extensive experience within research in information technology. Our researchers have a high scientific competence and broad industry experience within fields like mobility, security and universal design. Our activities include national and international cooperation with both public and private partners within these fields. In addition to applied research our services cover concept studies, prototyping, training, evaluation, consultancy and development.
Our competence is mainly used in projects commissioned by private and public customers, the Research Council of Norway and the European commission. Our staff has background in electronics, computing science and social sciences at Master or PhD level.
We cover a broad range of activities from theoretical modeling with advanced tools - to practical end-user testing and analysis with state-of-the-art lab equipment. It is important to ensure that our work is relevant in practical settings and we work closely with commercial partners leading in their field. Our customers include the Ministry of Local Government and Regional Development, Supervisory Authorities, Hospitals, Norsk Tipping and several SMEs.
Last 5 scientific articles
Leister, Wolfgang; Hamdi, Mohamed; Abie, Habtamu; Poslad, Stefan; Torjusen, Arild Braathen. An Evaluation Framework for Adaptive Security for the IoT in eHealth. International journal on advances in security (ISSN 1942-2636). 7(3&4) pp 93-109. 2014. Review Full-text
Halbach, Till; Schulz, Trenton. MobileSage – A Prototype Based Case Study for Delivering Context-Aware, Accessible, and Personalized On-Demand Help Content. International Journal on Advances in Intelligent Systems (ISSN 1942-2679). 7(1&2) pp 267-278. 2014. Full-text
Skillen, Kerry-Louise; Chen, Liming; Nugent, Chris D.; Donnelly, Mark P.; Burns, William; Solheim, Ivar. Ontological user modelling and semantic rule-based reasoning for personalisation of Help-On-Demand services in pervasive environments. Future generations computer systems (ISSN 0167-739X). 34 pp 97-109. doi: 10.1016/j.future.2013.10.027. 2014.
Christie, Anne; Dagfinrud, Hanne; Dale, Øystein; Schulz, Trenton; Hagen, Kåre Birger. Collection of patient-reported outcomes; - Text messages on mobile phones provide valid scores and high response rates. BMC Medical Research Methodology (ISSN 1471-2288). 14(52) doi: 10.1186/1471-2288-14-52. 2014.
Evesti, Antti; Abie, Habtamu; Savola, Reijo M.. Security Measuring for Self-adaptive Security. In: ECSAW '14 Proceedings of the 2014 European Conference on Software Architecture Workshops. (ISBN 978-1-4503-2778-7). doi: 10.1145/2642803.2642808. 2014.