Abstract
Keeping up with the rapid development in their fields is a problem for many employees nowadays, particularly when the new information is meant to be used for problem solving. Collaborative approaches such as forums and question and answering (Q&A) systems managed to only partly mitigate this problem in cases where time constraints and user mobility are of no crucial concern.
We present an enhancement to conventional Q&A applications which relies on user activity detection and question forwarding towards the available users. Our approach obtains a 90% precision in a garage experiment, proving itself as a viable solution for car technicians’ time and mobility constraints.
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Diaconita, I., Rensing, C., Tittel, S. (2014). Getting the Information You Need, When You Need It: A Context-aware Q&A System for Collaborative Learning. In: Rensing, C., de Freitas, S., Ley, T., Muñoz-Merino, P.J. (eds) Open Learning and Teaching in Educational Communities. EC-TEL 2014. Lecture Notes in Computer Science, vol 8719. Springer, Cham. https://doi.org/10.1007/978-3-319-11200-8_34
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DOI: https://doi.org/10.1007/978-3-319-11200-8_34
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-11199-5
Online ISBN: 978-3-319-11200-8
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