Stressed or engaged? Addressing the mixed significance of physiological activity during constructivist learning

Sung, Gahyun; Bhinder, Harum; Feng, Tianyi; Schneider, Bertrand

doi:10.1016/j.compedu.2023.104784

Cited by 4 publications

(1 citation statement)

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“…Eye tracking-for attention recognition and state detection, by assessment of some parameters [15], e.g., pupil dilation [16,17], saccade and fixation duration [18]; • Facial expression recognition-for emotional and cognitive state detection [19][20][21]; • Electrocardiography (ECG), electrodermal activity (EDA) [22][23][24][25][26], and skin temperature sensors [27]-for assessment of the human body's physiological reactions related to stress, anxiety, agitation, cognitive load, etc. It was also shown that the detection of heart rate variability could be based on photoplethysmography (PPG) sensors integrated into wearable devices [28,29], as well as on traditional electrode-based technology integrated into plasters [30] or smart textiles [31,32]; • Electroencephalography (EEG) [33][34][35][36][37][38]-for capturing the cognition processes, even in cases of a lack of behavioral reaction caused by a specific stimulus.…”

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confidence: 99%

Towards Implementation of Emotional Intelligence in Human–Machine Collaborative Systems

Markov,

Kalinin,

Markova

et al. 2023

Electronics

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Social awareness and relationship management components can be seen as a form of emotional intelligence. In the present work, we propose task-related adaptation on the machine side that accounts for a person’s momentous cognitive and emotional state. We validate the practical significance of the proposed approach in person-specific and person-independent setups. The analysis of results in the person-specific setup shows that the individual optimal performance curves for that person, according to the Yerkes–Dodson law, are displaced. Awareness of these curves allows for automated recognition of specific user profiles, real-time monitoring of the momentous condition, and activating a particular relationship management strategy. This is especially important when a deviation is detected caused by a change in the person’s state of mind under the influence of known or unknown factors.

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