Title
Visual Analytics of Work Behavior Data - Insights on Individual Differences
Author
Koldijk, S.
Bernard, J.
Ruppert, T.
Kohlhammer, J.
Neerincx, M.A.
Kraaij, W.
Contributor
Kennedy, J. (editor)
Puppo, E. (editor)
Publication year
2015
Abstract
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 and subjective experience. The challenge is to interpret this multi-modal low level sensor data. In this work, we alternate between automatic analysis procedures and data visualization. Our aim is twofold: 1) to research the relations of various sensor features with (stress related) mental states, and 2) to develop suitable visualization methods for insight into a large amount of behavioral data. Our most important insight is that people differ a lot in their (stress related) work behavior, which has to be taken into account in the analyses and visualizations
Subject
ICT Human & Operational Modelling
DSC - Data Science PCS - Perceptual and Cognitive Systems
TS - Technical Sciences ELSS - Earth, Life and Social Sciences
To reference this document use:
http://resolver.tudelft.nl/uuid:2d5b8fc9-9d04-4a41-8ac4-4d0cc35d37c7
TNO identifier
574975
Source
Eurographics Conference on Visualization (EuroVis) (2015) Short Papers
Document type
conference paper