Real-time task recognition based on knowledge workers’ computer activities
conference paper
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.
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.
Topics
TNO Identifier
466504
Source title
Proceedings of European Conference on Cognitive Ergonomics - ECCE 2012, 28-31 August 2012, Edinburgh, Scotland,