Saskia Koldijk

Saskia Koldijk

Hi, my name is Saskia. I studied Artificial Intelligence and worked at the Radboud University Nijmegen and TNO as PhD student in the project SWELL (Smart reasoning systems for well-being at home and at work). Within SWELL I combined my expertise in Machine Learning, Programming, Visual Analytics and Human-Computer Interaction, with my knowledge of Cognitive Psychology, Work Psychology and Behavioral Change.


Email: S.Koldijk@cs.ru.nl (until 2016)
LinkedIn: Saskia Koldijk

SWELL: Technology for Well-being

Within the SWELL project I focussed on stress and well-being at work. What happens to us when we are distracted from work or feel time-pressure? Can we read from behavior whether someone is stressed? At TNO and RU Nijmegen we looked at behavior with various sensors, like Kinect to inspect body postures, camera to look at facial expressions, body sensors to measure heart rate or skin conductance and computer logging to see activities on the computer. With machine learning we tried to recognize behavior and get insights into the level of stress and well-being. Built upon this information, we aimed to develop an e-coach that helps to self-manage well-being at work. Stress from time to time for an important deadline is normal, but you should also de-stress and have healthy working patterns to prevent becoming burned out.

My research topics:


For more information on the SWELL project see:

Dataset

The SWELL Knowledge Work Dataset for Stress and User Modeling Research is now available for research.

Visualizations

Here you find some of the data visualizations I worked on during my internship at the Fraunhofer Institute.

Publications


Koldijk, S. (2016). Context-Aware Support for Stress Self-Management: From Theory to Practice. PhD Thesis, Radboud University. [pdf]

Koldijk, S., Neerincx, M.A., & Kraaij, W. (2016). Detecting work stress in offices by combining unobtrusive sensors. In: IEEE Transactions on Affective Computing. [pdf]

Koldijk, S., Kraaij, W. & Neerincx, M.A. (2016). Deriving Requirements for Pervasive Well-Being Technology From Work Stress and Intervention Theory: Framework and Case Study. In: JMIR Mhealth and Uhealth 2016;4(3):e79; DOI: 10.2196/mhealth.5341; PMID: 27380749. [pdf]

Koldijk, S., Bernard, J., Ruppert, T., Kohlhammer, J., Neerincx, M.A., & Kraaij, W. (2015). Visual Analytics of Work Behavior Data - Insights on Individual Differences. In: Proceedings of EuroVis 2015 (Cagliari, Italy, 25-29 May 2015). [pdf]

Koldijk, S., Sappelli, M., Verberne, S., Neerincx, M.A., & Kraaij, W. (2014). The SWELL Knowledge Work Dataset for Stress and User Modeling Research. In: Proceedings of the 16th ACM International Conference on Multimodal Interaction (ICMI 2014) (Istanbul, Turkey, 12-16 November 2014). [pdf]

Schavemaker, J., Boertjes, E., Koldijk, S., Wiertz, L., Verberne, S., Sappelli, M., & Kaptein, R. (2014). Fishualization: a group feedback display. In: Proceedings of the 9th International Conference on Methods and Techniques in Behavioral Research (Measuring Behavior 2014) (Wageningen, The Netherlands, 27-29 August 2014). [pdf]

Koldijk, S., Koot, G., Neerincx, M.A., & Kraaij, W. (2014). Privacy and User Trust in Context-Aware Systems. In: Proceedings of the 22nd Conference on User Modeling, Adaptation and Personalization (UMAP 2014) (Aalborg, Denmark, 7-11 July 2014). [pdf]

Koldijk, S., Neerincx, M.A., & Kraaij, W. (2014). Using sensors in the office to support knowledge workers with self-management of well-being. In: Proceedings of Well-being at Work 2014 (Copenhagen, Denmark, 26-28 May 2014). [pdf]

Sappelli, M., Verberne, S., Koldijk, S., & Kraaij, W. (2014). Collecting a dataset of information behaviour in context. In: Proceedings of the 4th Workshop on Context-awareness in Retrieval and Recommendation (CARR @ ECIR 2014) (Amsterdam, The Netherlands, 13-16 April 2014). [pdf]

Koldijk, S., Sappelli, M., Neerincx, M.A., & Kraaij, W. (2013). Unobtrusive monitoring of knowledge workers for stress self-regulation. In: Proceedings of the 21nd Conference on User Modeling, Adaptation and Personalization (UMAP 2013) (Rome, Italy, 10-14 Juli 2013). [pdf] [poster]

Verberne, S., van der Heijden, M., Hinne, M., Sappelli, M., Hoenkamp, E., Koldijk, S., & Kraaij, W. (2013). Reliability and Validity of Query Intent Assessments. In: Journal of the American Society for Information Science and Technology, Volume 64, Issue 11, pages 2224–2237.

Koldijk, S., Neerincx, M.A., & Kraaij, W. (2012). Unobtrusively measuring stress and workload of knowledge workers. In: Proceedings of Measuring Behavior 2012 (Utrecht, The Netherlands, 28-31 August 2012). [pdf]

Koldijk, S., van Staalduinen, M., Neerincx, M.A., & Kraaij, W. (2012). Real-time task recognition based on knowledge workers’ computer activities. In: Proceedings of the European Conference on Cognitive Ergonomics (ECCE 2012) (Edinburgh, Scotland, 28-31 August 2012). [pdf]

Koldijk, S. (2012). Automatic recognition of context and stress to support knowledge workers. In: Proceedings of the European Conference on Cognitive Ergonomics (ECCE 2012) (Edinburgh, Scotland, 28-31 August 2012; doctoral consortium). [pdf] [poster]

Koldijk, S. (2012). Capturing context and mental state of knowledge workers. In: Proceedings of the Fourth Information Interaction in Context Conference (IIiX 2012) (Nijmegen, The Netherlands, 21-24 August 2012; doctoral consortium). [pdf] [extended abstract]

Koldijk, S., van Staalduinen, M., Raaijmakers, S., van Rooij, I., & Kraaij, W. (2011). Activity-logging for self-coaching of knowledge workers. In: 2nd Workshop on Information Access for Personal Media Archives (IAPMA @ ECIR 2011) (Dublin, Ireland, 18-21 April 2011). [pdf]

Koldijk, S. (2011). Look what you’ve done! Task recognition based on PC activities. Masters’ thesis. Radboud University Nijmegen, The Netherlands. [pdf]

Koldijk, S. (2009). Helping One Another: How Cooperation and Diversity Evolve. Bachelors' thesis. Radboud University Nijmegen, The Netherlands. [pdf]