Using Computer Peripheral Devices to Measure Attentiveness

  • Dalila DurãesEmail author
  • Davide Carneiro
  • Javier Bajo
  • Paulo Novais
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 473)


Attention is strongly connected with learning and when it comes to acquiring new knowledge, attention is one the most important mechanisms. The learner’s attention affects learning results and can define the success or failure of a student. The negative effects are especially significant when carrying out long or demanding tasks, as often happens in an assessment. This paper presents a monitoring system using computer peripheral devices. Two classes were monitored, a regular one and an assessment one. Results show that it is possible to measure attentiveness in a non-intrusive way.


Attentiveness Learning activities Mental fatigue Stress 


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. 1.
    Pimenta, A., Gonçalves, S., Carneiro, D., Riverola, F., Novais, P.: Mental Workload Management as a Tool in e-Learning Scenarios (2014)Google Scholar
  2. 2.
    Hwang, K., Yang, C.: Automated Inattention and Fatigue Detection System in Distance Education for Elementary School Students. Journal of Educational Technology 12, 22–35 (2009)Google Scholar
  3. 3.
    Esysench, M.W.: Anxiety: The cognitive Perspective. Erlbaum, Hove (1992)Google Scholar
  4. 4.
    Pimenta, A., Carneiro, D., Neves, J., Novais, P.: A Neural Network to Classify Fatigue from Human-Computer Interaction. Neurocomputing. 172, 413–426 (2015)CrossRefGoogle Scholar
  5. 5.
    Olff, M., et al.: The Psychobiology of PTSD: coping with trauma. Psichoneuroendocrinology 30, 974–982 (2005)CrossRefGoogle Scholar
  6. 6.
    Oitzl, M.S., Kloet, E.R.: Selective corticosteroid antagonists modulate specific aspects of spatial orientation learning. Behav. Neurosci. 106, 62–71 (1992)CrossRefGoogle Scholar
  7. 7.
    Sandi, C., Rose, S.P.: Corticosterone enhances log-term retention in one-day-old chicks trained in a weak passive avoidance learning paradigm. Brain. Res. 647, 106–112 (1994)CrossRefGoogle Scholar
  8. 8.
    Sandi, C.: Experience-dependence facilitating effect of corticosterone on spatial memory formation in the water maze. Eur. J. Neurosci. 9, 637–642 (1997)CrossRefGoogle Scholar
  9. 9.
    Roosendaal, B.: MAcGaugh, J.L.: Amygdaloid nuclei lesions differentially affect glucorticoid-induced memory enhancement in a inhibitory avoidance. Task. Neurobiol. Learn. Mem. 65, 1–8 (1996)CrossRefGoogle Scholar
  10. 10.
    Shors, T.J.: Stressfull experience and Learning across Lifespan. Annu. Rev. Psychol. (in press)Google Scholar
  11. 11.
    McGaugh, J.L.: The Amygdala Modulates the Consolidation of Memories of Emotionally arousing Experiences. Annu. Rev. Neurosci. 27, 1–28 (2004)CrossRefGoogle Scholar
  12. 12.
    Bishop, S.: Trait Anxiety and Impoverished Prefrontal Control of Attention. Nature Neuroscience 12, 92–98 (2008)CrossRefGoogle Scholar
  13. 13.
    van der Linden, D., Frese, M., Meijman, T.F.: Mental Fatigue and the Control of Cognitive Processes: Effects on Perseveration and Planning. Acta Psychologica 113(1), 45–65 (2003)CrossRefGoogle Scholar
  14. 14.
    Carneiro, D., Novais, P., Pêgo, J.M., Sousa, N., Neves, J.: Using mouse dynamics to assess during online exams. In: Hybrid Artificial Intelligent Systems, vol. 9121, pp. 345–356 (2015)Google Scholar
  15. 15.
    Lima, L., Novais, P., Costa, R., Cruz, J.B., Neves, J.: Group decision making and Quality-of-Information in e-Health systems. Logic Journal of IGPL, jzq029 (2010)Google Scholar
  16. 16.
    Pimenta, A., Carneiro, D., Novais, P., Neves, J.: Monitoring mental fatigue through the analysis of keyboard and mouse interaction patterns. In: Hybrid Artificial Intelligent Systems, pp. 222–231. Springer, Heidelberg (2013)Google Scholar

Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  • Dalila Durães
    • 1
    Email author
  • Davide Carneiro
    • 2
    • 3
  • Javier Bajo
    • 1
  • Paulo Novais
    • 2
  1. 1.Department of Artificial IntelligenceTechnical University of MadridMadridSpain
  2. 2.Algoritmi CenterMinho UniversityBragaPortugal
  3. 3.CIICESI, ESTGFPolytechnic Institute of PortoPortoPortugal

Personalised recommendations