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Enriching behavior patterns with learning styles using peripheral devices

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Abstract

The human being is currently under an increased demand for attention, a result of a society that is moving faster. In most of the so-called developed countries, workers have nowadays increasingly busier activities. This makes them stretch their limits to find time for children, sports activities and other. This necessary extra time is frequently obtained at the expense of shorter periods of sleep or rest and with a cost in terms of pressure and stress. In this paper, we present a non-intrusive distributed system for enriching behavior patterns applying learning styles in a class of students which was considered as a team. It is especially suited for teams working at the computer. The presented system is able to provide real-time information about each individual as well as information about the team. It can be very useful for teachers or managers to identify potentially distracting events or individuals, and to detect the onset of mental fatigue or boredom, which significantly influence attention. In summary, this tool can be very useful for the implementation of better human resource management strategies, namely in the classification of learning style and the monitoring of the level of attention of each user.

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Acknowledgements

This work has been supported by COMPETE: POCI-01-0145-FEDER-007043 and FCT – Fundação para a Ciência e Tecnologia within the Project Scope: UID/CEC/00319/2013.

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Authors and Affiliations

  1. Department of Artificial Intelligence, Technical University of Madrid, Madrid, Spain

    Dalila Durães

  2. Algoritmi Center, University of Minho, Braga, Portugal

    Paulo Novais

  3. Department of Computer Science and Automation Control, University of Salamanca, Salamanca, Spain

    Fernando de la Prieta

  4. CIICESI, ESTG, Polytechnic Institute of Porto, Felgueiras, Portugal

    Dalila Durães

Authors
  1. Dalila Durães
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  2. Fernando de la Prieta
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  3. Paulo Novais
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Correspondence to Dalila Durães.

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Durães, D., de la Prieta, F. & Novais, P. Enriching behavior patterns with learning styles using peripheral devices. Knowl Inf Syst 60, 1645–1662 (2019). https://doi.org/10.1007/s10115-018-1287-6

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  • DOI: https://doi.org/10.1007/s10115-018-1287-6

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