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***)
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.