Print Email Facebook Twitter Real-time task recognition based on knowledge workers’ computer activities Title Real-time task recognition based on knowledge workers’ computer activities Author Koldijk, S.J. van Staalduinen, M. Neerincx, M.A. Kraaij, W. Publication year 2012 Abstract Motivation – Supporting knowledge workers in their self-management by providing them overviews of performed tasks. Research approach – Computer interaction data of knowledge workers was logged during their work. For each user different classifiers were trained and compared on their performance on recognizing 12 specified tasks. Findings/Design – After only a few hours of training data reasonable classification accuracy can be achieved. There was not one classifier that suited all users best. Take away message – Task recognition based on knowledge workers’ computer activities is feasible with little training, although personalization is an important issue. Subject Task recognitionField studyUnobtrusive sensingPattern recognitionPersonalizationKnowledge workersWork and EmploymentHealthy LivingCommunication & Information ; HumanMNS - Media & Network Services ; PCS - Perceptual and Cognitive SystemsTS - Technical Sciences ; BSS - Behavioural and Societal Sciences To reference this document use: http://resolver.tudelft.nl/uuid:45174f9b-88d4-4636-8e0e-7f485b81e72c TNO identifier 466504 Source Proceedings of European Conference on Cognitive Ergonomics - ECCE 2012, 28-31 August 2012, Edinburgh, Scotland, Document type conference paper Files PDF koldijk-2012-real.pdf