Student’s attention improvement supported by physiological measurements analysis

Andreia Artífice, Fernando Ferreira, Elsa Marcelino-Jesus, João Sarraipa, Ricardo Jardim-Gonçalves

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

6 Citations (Scopus)

Abstract

The focus of the most recent theories of emotional state analysis is the Autonomic Nervous System. Those theories propose that sympathetic and parasympathetic nervous systems interact antagonistically accordingly to each emotional state implying variations of interbeat intervals of consecutive heart beats. Emotional arousal and attention can be inferred based on the electrocardiogram (ECG) specifically through Heart Rate Variability (HRV) analysis, including the Low Frequency (LF), High Frequency (HF), and ratio LF/HF. The aim of this study is to analyze the impact of classic background music, in students’ emotional arousal and attention, and performance in the context of e-Learning training courses. As a result, it is foreseen the development of a system integrating wearables to smoothly gather the mentioned biosignals, which will be able to sense user’s emotions to further automatically propose recommendations for better learning approaches and contents, aiming student’s attention improvement.

Original languageEnglish
Title of host publicationTechnological Innovation for Smart Systems - 8th IFIP WG 5.5/SOCOLNET Advanced Doctoral Conference on Computing, Electrical and Industrial Systems, DoCEIS 2017, Proceedings
PublisherSpringer New York LLC
Pages93-102
Number of pages10
Volume499
ISBN (Print)9783319560762
DOIs
Publication statusPublished - 1 Jan 2017
Event8th IFIP WG 5.5/SOCOLNET Advanced Doctoral Conference on Computing, Electrical and Industrial Systems, DoCEIS 2017 - Costa De Caparica, Portugal
Duration: 3 May 20175 May 2017

Publication series

NameIFIP Advances in Information and Communication Technology
Volume499
ISSN (Print)1868-4238

Conference

Conference8th IFIP WG 5.5/SOCOLNET Advanced Doctoral Conference on Computing, Electrical and Industrial Systems, DoCEIS 2017
CountryPortugal
CityCosta De Caparica
Period3/05/175/05/17

Keywords

  • Attention
  • eLearning
  • Emotional arousal
  • Heart rate variability

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