Stress at work has become a serious problem affecting many people of different professions, life situations, and age groups. The workplace has changed dramatically due to globalization of the economy, use of new information and communications technologies, growing diversity in the workplace, and increased mental workload. In the 2000 European Working Conditions Survey (EWCS), work-related stress was found to be the second most common work-related health problem across the EU. 62% of Americans say work has a significant impact on stress levels. 54% of employees are concerned about health problems caused by stress. One in four employees has taken a mental health day off from work to cope with stress (APA Survey 2004). Only in the Netherlands, direct costs of stress are about 4 billion Euro a year.
Stress can contribute to illness directly, through its physiological effects, or indirectly, through maladaptive health behaviors (for example, smoking, pore eating habits or lack of sleep). It is important to motivate people to adjust their behavior and life style and start using appropriate stress coping strategies. So that they achieve a better stress balance far before increased level of stress results in serious health problems.
Yet, the avoidance of stress in the everyday working environment is impossible. Moreover, stress might not even be observed as problematic by the persons themselves, for high levels of stress are often perceived by people as a norm, a signal that they do their best to achieve their goals. The first necessary condition for early signalling and treatment of stress problems is introducing inexpensive, unobtrusive, and widely available technologies for creating awareness of the objective level of stress and the understanding of its causes.
- Field studies with different target groups
- Semi-controlled experiments with stress meters
- Stress@work visual analytics
- How much positive and negative happens during a certain period, interactive OLAP support
- Linking different data sources, stress related vitals, physical activity, calendar events, e-mails and social media
- Self-awareness and identification of potential stressors
- Differentiating positive and negative stress and stressors
- Personalized stress coaching strategies
- Wireless Multi Sensor Bracelet with Discreet Feedback M. Ouwerkerk, P. Dandine, D. Bolio, R. Kocielnik, J. Mercurio, H. Huijgen, J. Westerink. In: Proc. of Wireless Health, Baltimore, MD, USA, 2013 (in press).
- Smart technologies for long-term stress monitoring at work Rafal Kocielnik, Natalia Sidorova, Fabrizio Maria Maggi, Martin Ouwerkerk, Joyce HDM Westerink. In: Proc. 26th International Symposium onComputer-Based Medical Systems (CBMS), IEEE 2013.
- Enabling self-reflection with LifelogExplorer: Generating simple views from complex data Rafal Kocielnik, Fabrizio Maria Maggi, Natalia Sidorova. In: Proc. of 7th International Conference on Pervasive Computing Technologies for Healthcare (PervasiveHealth), IEEE 2013.
- Stress@work: From Measuring Stress to its Understanding, Prediction and Handling with Personalized Coaching Jorn Bakker, Leszek Holenderski, Rafal Kocielnik, Mykola Pechenizkiy and Natalia Sidorova. In: Proc. of 2nd ACM SIGHIT International Health Informatics Symposium (IHI 2012), ACM Press.
- What's your current stress level? Detection of stress patterns from GSR sensor data Jorn Baker, Mykola Pechenizkiy and Natalia Sidorova. In: Proc. of ICDM 2011 Workshops, IEEE Press.
- SentiCorr: Multilingual Sentiment Analysis of Personal Correspondence (Demo paper) Erik Tromp and Mykola Pechenizkiy (2011). In: Proc. of ICDM 2011 Workshops, IEEE Press.
Presentations & Posters
- Stress@work Rafal Kocielnik, Natalia Sidorova, Data Science Center Opening, Eindhoven 2013, poster.
- Smart technologies for long-term stress monitoring at work Rafal Kocielnik (CBMS'2013) Porto, Portugal (June 2013)
- Enabling self-reflection with LifelogExplorer: Generating simple views from complex data. Rafal Kocielnik (PervasiveHealth'2013) Venice, Italy (April 2013)
- A Practical Platform for Combining Sensor-Measurement from Body Sensor Networks with Flexible Human-Provided Tagging Vinh Bui, Rafal Kocielnik, Natalia Sidorova, Richard Verhoeven, Johan Lukkien. In: Proc. of the 2013 IEEE Second International Conference on Mobile Services, 2013, poster.
- Stress Analytics in Education Rafal Kocielnik, Mykola Pechenizkiy, Natalia Sidorova. In: Proc. of the 5th International Conference on Educational Data Mining, Chania, Greece, 2012 main poster, additional poster.
- What's your current stress level? Detection of stress patterns from GSR sensor data. Mykola Pechenizkiy (HaCDAIS @ ICDM'2011) Vancouver, Canada (December 2011)
- SentiCorr: Multilingual Sentiment Analysis of Personal Correspondence. Erik Tromp, Mykola Pechenizkiy and Rafal Kocielnik (Demo @ ICDM'2011) Vancouver, Canada (December 2011)
- Stress@work: From Stress Measurement to Understanding the Stressors Mykola Pechenizkiy, University of Portsmouth, UK (November 2011)
- Stress@work JornBakker, Rafal Kocielnik, Leszek Holenderski, Mykola Pechenizkiy, Natalia Sidorova, EIT ICT Labs Partner Event 2011, poster.
- Stress@work Natalia Sidorova. Data Mining in Health and Wellbeing retreat workshop, Philips HTC, Eindhoven, the Netherlands (November 2011)
Code & Datasets
We are working on making the software, source code and datasets created and used in this project available for the research community (as long as there are no NDA, IP, ethical or proprietary concerns).
Current research team
Past team members
Fabrizio Maria Maggi (now at University of Tartu)
Jorn Bakker (now at WiseGuys Internet)
Mykola Pechenizkiy, co-PI (TU/e)
Erik Tromp (now with Accenture)
Joyce Westerink, Philips Research
Martin Ouwerkerk, Philips Research
Wim Huijbregts, HumanCapitalCare
Esther Wegter-Hilbers, HumanCapitalCare
Remco Fransen, HumanCapitalCare
Venet Osmani, Create-Net
Oscar Majora, Create-Net
Rianne Kaptein, TNO
Wessel Kraaij, TNO
Ruud Kosman, Novay