eprintid: 8056
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/00/80/56
datestamp: 2023-11-09 16:19:54
lastmod: 2023-11-09 16:19:54
status_changed: 2023-11-09 16:11:41
type: conference_item
metadata_visibility: show
creators_name: Babiker, A.
creators_name: Faye, I.
creators_name: Malik, A.
title: A physiological index for situational interest in classroom settings using EEG (preliminary result)
ispublished: pub
keywords: Electroencephalography; Fast Fourier transforms, Classroom environment; personal interest; Physiological indices; Power ratio; Psychological well-being; questionnaire; Situational interest; Subjective analysis, Physiology
note: cited By 3; Conference of 2017 IEEE Region 10 Conference, TENCON 2017 ; Conference Date: 5 November 2017 Through 8 November 2017; Conference Code:133992
abstract: Interest is thought to be one of the major and a basic emotion according to psychologists. The effect of interest was emphasized recently for its role in improving and predicting many life aspects e.g. learning and education, economy, psychological well-being and social relations. However, majority of the recent studies are theoretical and only few of them addressed interest but without specifying its types physiologically. The purpose of this research is to present an approach to detect patterns of situational interest while resembling classroom environment using EEG signals. Personal Interest (PI) test, Situational Interest (SI) test and knowledge tests are used to evaluate subjectively student's interest. Fast Fourier Transform (FFT) was applied for EEG data after preprocessing and cleaning. Absolute power values and power ratio of EEG waves were used to verify similar patterns of subjects who reported high SI. The results from the objective analysis was used to interpret the subjective analysis and was found that the power ratio of alpha/beta and alpha/high beta might be an index for situational interest regardless of the status of personal interest. © 2017 IEEE.
date: 2017
publisher: Institute of Electrical and Electronics Engineers Inc.
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85044210499&doi=10.1109%2fTENCON.2017.8228330&partnerID=40&md5=bdb1c74405ae3cb57cd948693a3949a5
id_number: 10.1109/TENCON.2017.8228330
full_text_status: none
publication: IEEE Region 10 Annual International Conference, Proceedings/TENCON
volume: 2017-D
pagerange: 2753-2758
refereed: TRUE
isbn: 9781509011339
issn: 21593442
citation:   Babiker, A. and Faye, I. and Malik, A.  (2017) A physiological index for situational interest in classroom settings using EEG (preliminary result).  In: UNSPECIFIED.