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Carl Magnus Olsson
Senior Lecturer

My research is positioned within the design and use of context-aware applications. These applications can be characterized as adapting their behavior to relevant changes in the environment they are in, and the human agents that are using them. This makes my research largely focused on actual use patterns in real life situations, i.e. to ensure that someone's life is enriched in a deeply meaningful way by the technology that is developed. I am in particular interested in understanding this so called mediating role that context-aware applications may have for our lives - professionally, as well as in private. How is our perception of - and experiences in - the world affected by the introduction of context-aware technology?

I conduct this research using exploratory action research, i.e. a research method that I developed in my PhD work that is rooted in explorative design and iterative development. Innovative technology may therefore be developed and assessed in close collaboration with industry and end users in a way that is informed by the latest ways of working within agile methods, such as Lean software development and Scrum.

For consumers today, two strong examples where mediating (and context-aware) technology play a central role are the automotive industry and game industry. A modern car is largely defined by the network of sensors, electronics, and digital systems that today actively helps while driving (supplying increased safety as well as convenience), at the same time as the car provides drivers and passengers with contextually relevant information and entertainment services. The game industry have the last few years gone from a focus on stationary single-player games to increasingly social games, where physical interaction with the games as well as other players through sensor-based controllers are at the center of innovation, such as special dance floors, guitars, and drums (e.g. Dance Dance Revolution, and Rock Band) as well as cameras and sensors that monitor physical movements of the body (e.g. Microsoft Kinect, and Oculus Rift).

We can also see a strong trend of growing technology support for improving the efficiency while training (e.g. apps like RunKeeper, Strava, and wearable devices like smart watches and bracelets). We furthermore see similar development for general well-being through social services such as Foursquare, Foodspotting, and Untappd, where focus lies on sharing geographically relevant information to others, as well as services for personal stress management, sleep tracking and chronic health conditions. Finally, the long heralded technology for smart houses is today - thanks to reduced prices and improved performance of sensors and networks - in a position to become more widely diffused. This may lead to new services for convenience as well as for a more energy and environmentally conscious lifestyle.

Research centres

Internet of Things and People Research Center pil show

Faculties and departments

Department of Computer Science and Media Technology pil show
Faculty of Technology and Society pil show

Contact details
Visiting address: Nordenskiöldsgatan 1, Niagara, Plan 6, Hus C
Postal address:Malmö universitet, 205 06 Malmö
Delivery address:71

DDS: Data driven systems (research school)
CAT: Context-Awareness for IoT Technology
CACT: Context-Awareness for Consumer IoT Techn.
SASUF: South Africa - Sweden University Forum
ELIS: Mobile services for energy efficiency
DIA: Data Innovation Arena
ISHPA: Interaction in the Smart Home
  • Publications

  • Last publications from Malmö University Electronic Publishing.

    2020 | Konferensbidrag
    Open source step counter algorithm for wearable devices
    Brondin Anna, Nordström Marcus, Olsson Carl Magnus, Salvi Dario

    2020 | Konferensbidrag
    Enhancing citizens trust in technologies for data donation in clinical research
    Maus Benjamin, Salvi Dario, Olsson Carl Magnus

    2020 | Kapitel i bok, del av antologi
    The digital tourist bureau
    Leckner Sara, Olsson Carl Magnus

    2020 | Konferensbidrag
    Contextual machine teaching
    Holmberg Lars, Davidsson Paul, Olsson Carl Magnus, Linde Per

    2020 | Artikel i tidskrift
    A comparison of machine learning algorithms for forecasting indoor temperature in smart buildings
    Alawadi Sadi, Mera David, Fernandez-Delgado Manuel, Alkhabbas Fahed, Olsson Carl Magnus, Davidsson Paul

    Länk till alla publikationer i DIVA.
  • Övriga uppdrag och meriter

  • Deputy Director: Data driven systems (industrial research school)

    Gothenburg University's individual pedagogical award (2010)

    ## Reviewer for ##

    Management Information Systems Quarterly (MISQ), Information Systems Journal (ISJ), International Conference on Information Systems (ICIS), European Conference on Information Systems (ECIS), America’s Conference on Information Systems (AMCIS), Information Systems Research Seminar in Scandinavia (IRIS), International Federation for Information Processing (IFIP) Working Group 8.2, International Federation for Information Processing (IFIP) Working Group 8.6.

    ## Member of ##

    International Federation for Information Processing (IFIP) Working Group 8.2, International Federation for Information Processing (IFIP) Working Group 8.6, Association for Information Systems (AIS).

    ## Thesis supervision that lead to research publications ##

    Original thesis by: Fredrik Bengtsson and Amadeus Hein (2011); nominated for JUSEK’s national BEST award. Led to: Bengtsson, F., Hein, A., and Olsson, C. M. (2012). Exploring the potential for using artificial intelligence techniques in police report analysis: A design research approach. Proceedings of the International Conference on Agents and Artificial Intelligence, Algarve, Portugal.

    Original thesis by: Ludwig Weschke and Gustav Börman (2010) Led to parts of the introduction (chapter 1) and theoretical framework (chapter 2) in: Olsson, C. M. (2011). Developing a mediation framework for context-aware applications: An exploratory action research approach. PhD thesis, Lero – The Irish Software Engineering Research Centre, Department of Computer Science and Information Systems, University of Limerick, Ireland.

    Original thesis by: Jesper Lindberg and Daniel Nilsson (2010) Led to: Wallin, S., Nordlander, J., Leijon, V., and Bystedt, N. (2012). The semantics of alarm defnitions: enabling systematic reasoning about alarms. International Journal of Network Management, Volume 22, Issue 3, pp. 181-198.

    Original thesis by: David Smallbone Tizzard, John Wallmark, and Tomas Warrby (2007) Nominated for JUSEK’s national BEST award. Led to: Eklund, U. and Olsson, C. M. (2009). A case study of the Architecture Business Cycle for an in-vehicle software architecture. In proceedings of the Joint IEEE/IFIP Conference on Software Architecture & European Conference on Software Architecture (nominated for best paper), Cambridge, UK.

    Original thesis by: Per Johansson (2007) Led to: Sandberg, A. B. and Olsson, C. M. (2008). Explicit as enabler for understanding the tacit. In proceedings of the IFIP WG8.6 conference, Madrid, Spain.

    Original thesis by: Oscar Hellström (2007) Led to: Hellström, O. (2007). Optimizing TCP/IP Connectivity: An Exploratory Study in Network-Intensive Erlang Systems. In proceedings of the Erlang Workshop, Freiburg, Germany.

    Original thesis by: Helene Dahlberg and Francisco Solano Ruiz (2006) Led to: Dahlberg, H., Ruiz, F. S., and Olsson, C. M. (2006). The role of extreme programming in a plan-driven organization. In proceedings of the IFIP WG 8.6 conference, Galway, Ireland.

    ## Industrial collaboration in courses ##

    Ericsson (5 projects)

    Volvo IT (4 projects)

    Volvo Cars (3 projects)

    Allingsås Municipality (3 projects)

    Sigma Kudos (2 projects)

    Hattrick (1 project)

    Elicit (1 project)

    Saab Space (now RUAG; 1 project)

    Free Software Foundation Europe (1 project)

    ## Course responsibility (selection) ##

    Software Processes (3 hec)

    Software Process Improvement (4.5 hec)

    Change Management (7.5 hec)

    Changing Software Processes Project (15 hec)

    Embedded Systems (7.5 hec)

    Industrial IT and Embedded Systems Project (15 hec)

    Industrial Challenge Project (15 hec)

    Technical Challenge Project (15 hec)

    Collaborative Information Systems Project (7.5 hec)

    Game Engine Driven Product Development Project (15 hec)

    Game Design (7.5 hec)

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Malmö högskola
Teknik och samhälle
Institutionen för datavetenskap och medieteknik DM2
WORK 205 06 Malmö Sverige Nordenskiöldsgatan 1
  Malmö universitet  
205 06 Malmö
  , rum Niagara, Plan 6, Hus C, Nordenskiöldsgatan 1, Malmö

work 040-6657502
photo of Carl Magnus Olsson Carl Magnus Olsson