Searched for: author:"Koldijk, S."
(1 - 7 of 7)
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Kraaij, W. (author), Verberne, S. (author), Koldijk, S. (author), de Korte, E. (author), van Dantzig, S. (author), Sappelli, M. (author), Shoaib, M. (author), Bosems, S. (author), Achterkamp, R. (author), Bonomi, A. (author), Schavemaker, J. (author), Hulsebosch, B. (author), Wabeke, T. (author), Vollenbroek-Hutten, M. (author), Neerincx, M. (author), Sinderen, M. (author)
Recent advances in wearable sensor technology and smartphones enable simple and affordable collection of personal analytics. This paper reflects on the lessons learned in the SWELL project that addressed the design of user-centered ICT applications for self-management of vitality in the domain of knowledge workers. These workers often have a...
article 2020
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Koldijk, S. (author), Neerincx, M.A. (author), Kraaij, W. (author)
Employees often report the experience of stress at work. In the SWELL project we investigate how new context aware pervasive systems can support knowledge workers to diminish stress. The focus of this paper is on developing automatic classifiers to infer working conditions and stress related mental states from a multimodal set of sensor data ...
article 2018
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Ham, J. (author), van Schendel, J. (author), Koldijk, S. (author), Demerouti, E. (author)
conference paper 2017
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Koldijk, S. (author), Kraaij, W. (author), Neerincx, M.A. (author)
BACKGROUND: Stress in office environments is a big concern, often leading to burn-out. New technologies are emerging, such as easily available sensors, contextual reasoning, and electronic coaching (e-coaching) apps. In the Smart Reasoning for Well-being at Home and at Work (SWELL) project, we explore the potential of using such new pervasive...
article 2016
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Koldijk, S. (author), Neerincx, M.A. (author), Kraaij, W. (author)
Employees often report the experience of stress at work. In the SWELL project we investigate how new context aware pervasive systems can support knowledge workers to diminish stress. The focus of this paper is on developing automatic classiers to infer working conditions and stress related mental states from a multimodal set of sensor data ...
article 2016
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Koldijk, S. (author), Bernard, J. (author), Ruppert, T. (author), Kohlhammer, J. (author), Neerincx, M.A. (author), Kraaij, W. (author)
Stress in working environments is a recent concern. We see potential in collecting sensor data to detect patterns in work behavior with potential danger to well-being. In this paper, we describe how we applied visual analytics to a work behavior dataset, containing information on facial expressions, postures, computer interactions, physiology...
conference paper 2015
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Verberne, S. (author), van der Heijden, M. (author), Hinne, M. (author), Sappelli, M. (author), Koldijk, S. (author), Hoenkamp, E. (author), Kraaij, W. (author)
In most intent recognition studies, annotations of query intent are created post hoc by external assessors who are not the searchers themselves. It is important for the field to get a better understanding of the quality of this process as an approximation for determining the searcher's actual intent. Some studies have investigated the...
article 2013
Searched for: author:"Koldijk, S."
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