On activity recognition

  • Spikol, D., Ruffaldi, E., Dabisias, G., & Cukurova M. (2018). Supervised machine learning in multimodal learning analytics for estimating success in project‐based learning. Journal of Computer Assisted Learning, pages 1–12.
  • Sarkheyli-Hägele, A. & Söffker, D. (2018). Learning and representation of event-discrete situations for individualized situation recognition using fuzzy Situation-Operator Modeling. Engineering Applications of Artificial Intelligence, vol. 72, pp. 357-367, DOI: 10.1016/j.engappai.2018.04.004.
  • Sarkheyli-Hägele, A. & Söffker, D. (2017). Fuzzy SOM-based Case-Based Reasoning for individualized situation recognition applied to supervision of human operators. Journal of Knowledge-Based System, vol. 137, pp. 42-53, DOI: 10.1016/j.knosys.2017.09.012.
  • Surie, D., Partonia, S., & Lindgren, H. (2013). Human Sensing using Computer Vision for Personalized Smart Spaces. 10th IEEE International Conference on Ubiquitous Intelligence and Computing / 10th IEEE International Conference on Autonomic & Trusted Computing, Vietri sul Mare, Italy, IEEE Computer Society Press, pp. 487-494.
  • Nieves, J. C., Surie, D., & Lindgren, H. (2012). Modeling Actions Based on a Situative Space Model for Recognizing Human Activities. AIMSA 2012, Springer LNAI, Vol. 7557, pp. 266-275.
  • Surie, D., Pederson, T., Lagriffoul, F., Janlert, L.-E., & Sjoelie, D. (2007). Activity Recognition using an Egocentric Perspective of Everyday Objects.In Proceedings of IFIP UIC 2007 Conference on Ubiquitous and Intelligent Computing, Springer LNCS 4611, pp. 246-257. (*** Best paper award ***)
  • Surie, D., Lagriffoul, F., Pederson, T., Sjölie, D. (2007). Activity Recognition based on Intra and Extra Manipulation of Everyday Objects. In Proceedings of the IFIP International Conference on Ubiquitous Computing Systems, Tokyo, Japan, Springer LNCS, Vol. 4836, pp. 196-210.

On context modelling

  • Surie, D., Lindgren, H., & Qureshi, A. (2013). Kitchen AS-A-PAL: Exploring Smart Objects as Containers, Surfaces and Actuators. 4th International Symposium on Ambient Intelligence, Salamanca, Spain, Ambient Intelligence – Software & Applications, AISC 219, Springer International Publishing, pp. 171-178.
  • Surie, D., Baydan, B., & Lindgren, H. (2013). Proxemics Awareness in Kitchen As-A-Pal: Tracking Objects and Human in Perspective, 9th International Conference on Intelligent Environments, Athens, Greece, IEEE Computer Society Press, pp. 157-164.
  • Surie, D., Pederson, T., & Janlert, L-E. (2012). A Smart Home Experience using Egocentric Interaction Design Principles. 10th IEEE/IFIP International Conference on Embedded and Ubiquitous Computing, IEEE Computer Society Press, Paphos, Cyprus, pp. 656-665.
  • Surie, D., Pederson, T., & Janlert, L-E. (2012). Human Cognition as a foundation for the emerging Egocentric Interaction Paradigm. Human-Computer Interaction: The Agency Perspective, Studies in Computational Intelligence, Springer, Vol. 396, pp. 349-374.
  • Pederson, T., Janlert, L-E., & Surie, D. (2011). Setting the Stage for Mobile Mixed-Reality Computing – A Situative Space Model based on Human Perception. IEEE Pervasive Computing Magazine vol. 10, no. 4, pp. 73-83, Oct. 2011. DOI: 10.1109/MPRV.2010.51

On learning analytics

  • Katterfeldt, E.-S., Cukurova, M., Spikol, D., & Cuartielles, D. (2018). Physical computing with plug-and-play toolkits: key recommendations for collaborative learning implementations. International Journal of Child-Computer Interaction.
  • Spikol, D. (2016). The design of learning. In Nick Rushby and Daniel W. Surry, editors, The Wiley Handbook of Learning Technology, chapter 20, pages 372–389. John Wiley and Sons, Inc, Boston.
  • Spikol, D., Avramides, K., & Cukurova, M. (2016). Exploring the interplay between human and machine annotated multimodal learning analytics in hands-on STEM activities. In Proceedings of the Sixth International Conference on Learning Analytics & Knowledge – LAK ’16, pages 522–523, New York, New York, USA. ACM Press.
  • Spikol, D., Ehrenberg, N., Cuartielles, D., & Zbick, J. (2015). Design Strategies for developing a Visual Platform for Physical Computing with Mobile Tools for Project Documentation and Reflection. In Proceedings of the Workshops at the 17th International Conference on Artificial Intelligence in Education AIED.
  • Spikol, D., Avramides, K., Katterfeldt, E.-S., & Ruffaldi, E. (2015). CSCL Opportunities with Digital Fabrication through Learning Analytics. In Proceedings of the 11th International Conference on Computer-supported Collaborative Learning.

On multimodal interaction

  • Bothén, S., Font, J., & Nilsson, P. (2018). An analysis and comparative user study on interactions in mobile virtual reality games. In Proceedings of the 13th International Conference on the Foundations of Digital Games(FDG ’18), DOI: 10.1145/3235765.3235772.
  • Mardanbegi, D., Witzner Hansen, D., & Pederson, T. (2012). Eye-based head gestures. In Proceedings of the Symposium on Eye Tracking Research and Applications (ETRA ’12). ACM, New York, NY, USA, 139-146. DOI: 10.1145/2168556.2168578 (***Best paper award***)

On smart spaces

  • Surie, D., Janlert, L-E., Pederson, T., & Roy, D. (2012). Egocentric interaction as a tool for designing ambient ecologies — The case of the easy ADL ecology. Journal of Pervasive and Mobile Computing, Special Issue on Ambient Ecologies, Elsevier, Vol. 8, Issue 4, pp. 597-613.
  • Surie, D. (2012). Egocentric Interaction for Ambient Intelligence. Doctoral Thesis, Dept. of Computing Science, Umeå University, Sweden, ISSN 0348-0542.
  • Surie, D., Jäckel, F., Janlert, L-E., & Pederson, T. (2010). Situative Space Tracking within Smart Environments. In Proceedings of the 6th International Conference on Intelligent Environments, Kuala Lumpur, Malaysia, IEEE Computer Society Press, pp. 152-157.
  • Surie, D., Pederson, T., & Janlert, L-E. (2010). The easy ADL home: A physical- virtual approach to domestic living. Journal of Ambient Intelligence and Smart Environments, Smart Home Thematic Issue, IOS Press, Vol. 2, Issue 3, pp. 287-310.
  • Surie, D., Laguionie, O., & Pederson, T. (2008). Wireless Sensor Networking of Everyday Objects in a Smart Home Environment. In Proceedings of the 4th International Conference on Intelligent Sensors, Sensor Networks and Information Processing, Sydney, Australia, pp. 189-194.

On wearable personal assistants

  • Jalaliniya, S., Pederson, T., & Mardanbegi, D. (2017). A Wearable Personal Assistant for Surgeons – Design, Evaluation, and Future Prospects. EAI Endorsed Transactions on Pervasive Health and Technology, vol. 17, no. 12, e4. DOI: 10.4108/eai.7-9-2017.153066.
  • Jalaliniya, S., & Pederson, T. (2015). Designing Wearable Personal Assistants for Surgeons: An Egocentric Approach. IEEE Pervasive Computing Magazine, vol.14, no.3, pp.22,31, July-Sept. DOI: 10.1109/MPRV.2015.61.