Attentive or not? Toward a machine learning approach to assessing students' visible engagement in classroom instruction

P Goldberg, Ö Sümer, K Stürmer, W Wagner… - Educational Psychology …, 2021 - Springer
Teachers must be able to monitor students' behavior and identify valid cues in order to draw
conclusions about students' actual engagement in learning activities. Teacher training can …

[PDF][PDF] Eda-based estimation of visual attention by observation of eye blink frequency

T Sakai, H Tamaki, Y Ota, R Egusa, S Imagaki… - … Journal on Smart …, 2017 - sciendo.com
This paper describes the relationship between visual attention and eye blink frequency. In
an experiment, we prompted the activation of a subject's visual attention and examined the …

Driver emotion recognition framework based on electrodermal activity measurements during simulated driving conditions

JSK Ooi, SA Ahmad, YZ Chong, SHM Ali… - 2016 IEEE EMBS …, 2016 - ieeexplore.ieee.org
An extensive variety of wellbeing frameworks had been introduced in modern vehicles a
decade ago. Traction control, auto-braking, and anti-sleep systems are significant …

The mitigating effects of water sound attributes on stress responses to traffic noise

L Deng, HH Rising, C Gu… - Environment and …, 2023 - journals.sagepub.com
Traffic noise is a significant risk factor for adverse health outcomes. Despite burgeoning
interest in reducing the harmful health effects of traffic noise, research on the influence of …

Driver drowsiness detection using gray wolf optimizer based on voice recognition

SS Jasim, AK Abdul Hassan… - Aro-The Scientific …, 2022 - eprints.koyauniversity.org
Globally, drowsiness detection prevents accidents. Blood biochemicals, brain impulses, etc.,
can measure tiredness. However, due to user discomfort, these approaches are challenging …

Estimating orchestration load in CSCL situations using EDA

F Crespi, I Amarasinghe, M Vujovic… - 2022 international …, 2022 - ieeexplore.ieee.org
This study investigates the extent to which Electrodermal Activity (EDA) sensor data can be
triangulated with self-perception measures to estimate facets of teachers' orchestration load …

Workload Assessment of Human-Machine Interface: A Simulator Study with Psychophysiological Measures

YC Liu, N Figalová, J Pichen, P Hock… - arXiv preprint arXiv …, 2024 - arxiv.org
Human-machine Interface (HMI) is critical for safety during automated driving, as it serves as
the only media between the automated system and human users. To enable a transparent …

A conceptual emotion recognition framework: stress and anger analysis for car accidents

JSK Ooi, SA Ahmad, HR Harun… - … journal of vehicle …, 2017 - inderscienceonline.com
In year 2013, 777,817 out of 22,702,211 of registered vehicles were involved in road traffic
crashes, with a damage cost of more than 9.3 billion ringgits in Malaysia. Automotive makers …

[PDF][PDF] Electrodermal activity-based feasibility study on the relationship between attention and blinking

R Yoshida, T Sakai, Y Ishi, T Nakayama… - … Journal on Smart …, 2016 - sciendo.com
Various factors are believed to cause blinking. One of these factors is attention. However,
the relationship between blinking and attention has not yet been elucidated. In this study, we …

Grove: an auxiliary device for sympathetic assessment via EDA measurement of neutral, stress, and anger emotions during simulated driving conditions

JSK Ooi, SA Ahmad, AJ Ishak… - … Journal of Medical …, 2018 - inderscienceonline.com
Cognition, emotion, and mood are one of the most researched topics in psychophysiological
signal study. Heart rate, skin conductance, and skin temperature are popular measures of …