Abstract
Monitoring and managing attention in the classroom is nowadays an important aspect where the level of learner’s attention affects learning results. When students are using devices connected to the Internet in learning activities in which they send and received notifications, beeps, and vibrations and blinking messages, the ability to focus becomes increasingly important. This is true in many different domains, from the classroom to the workplace. This paper deals with the issue of attention monitoring, with the aim of providing a non-intrusive, reliable and easy tool that can be used freely in schools or organizations, without changing or interfering with the established working routines. Specifically, we look at desk students in learning activities, in which the student spends long time interacting with the computer.
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References
Pimenta, A., Carneiro, D., Neves, J., Novais, P.: A neural network to classify fatigue from human-computer interaction. J. Neurocomput. 172, 413–426 (2016). doi:10.1016/j.neucom.2015.03.105
Folkard, S., Tucker, P.: Shift work, safety and productivity. J. Carrees Netw. Occup. Med. 53(2), 95–101 (2003)
Mancas, M.: Computational Attention – Toward Attentive Computers. Press Universitaire de Louvain, Belgium (2007)
Tamiz, M., Karami, M., Mehorabi, I., Gidary, S.S.: A novel attention control modeling method for sursor selection based on fuzzy neural network learning. In: First RSI/ISM International Conference on Robotics and Mechatronics (ICRoM) (2013). Doi:10.1109/ICRoM.2013.6510073
Yu-Fei, M., Hong, J.: Contrast-based image attention analysis by using fuzzy growing. In: ACM Multimedia, pp. 374–381 (2003)
Durães, D., Carneiro, D., Bajo, J., Novais, P.: Using computer peripheral devices to measure attentiveness. In: Advances in Intelligent System and Computing, pp. 147–155 (2016). Doi:10.1007/978-3-319-40159-1_12
Rajo, J., Bajo, J., Fernandez, A., Julian, V., Carrascosa, C.: Using emotions for the development of human-agent societies. Front. Inf. Technol. Electron. Eng. 17(4), 325–337 (2016). doi:10.1631/FITEE.1500343
Yampolskiy, R.V., Govimdaraju, V.: Behavioural biometrics: a survey and classification. Int. J. Biometrics 1(1), 81–113 (2008). doi:10.1504/IJBM.2008.018665
Morgan, R., Baker, F., Alabama, U.S.: A comparison of VARK analysis studies and recommendations for teacher educators. In: Society for Information Technology and Teacher Education International Conference, pp. 1381–1385 (2013)
Ford, N., Chen, Y.: Individual differences, hypermedia navigation and learning: an empirical study. J. Educ. Multimedia Hypermedia 9(4), 281–311 (2000)
Keefe, J.W.: Learning style: an overview. In: NASSP’s Student Learning Styles: Diagnosing and Prescribing Programs, pp. 1–17 (1979)
Carneiro, D., Novais, P., Pêgo, J.M., Sousa, N., Neves, J.: Using mouse dynamics to assess stress during online exams. In: Onieva, E., Santos, I., Osaba, E., Quintián, H., Corchado, E. (eds.) HAIS 2015. LNCS (LNAI), vol. 9121, pp. 345–356. Springer, Cham (2015). doi:10.1007/978-3-319-19644-2_29
Gomes, M., Oliveira, T., Carneiro, D., Novais, P., Neves, J.: Studying the effects of stress on negotiation behaviour. Cybern. Syst. 45(3), 279–291 (2014). Taylor & Francis Ltd. Doi:10.1080/01969722.2014.894858
Acknowledgments
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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Durães, D., Analide, C., Bajo, J., Novais, P. (2017). Quantifying the Effects of Learning Styles on Attention. In: Rocha, Á., Correia, A., Adeli, H., Reis, L., Costanzo, S. (eds) Recent Advances in Information Systems and Technologies. WorldCIST 2017. Advances in Intelligent Systems and Computing, vol 570. Springer, Cham. https://doi.org/10.1007/978-3-319-56538-5_72
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DOI: https://doi.org/10.1007/978-3-319-56538-5_72
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