Data-driven natural computational psychophysiology in class
Sábháilte in:
| Foilsithe in: | Cognitive Neurodynamics vol. 18, no. 6 (Dec 2024), p. 3477 |
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| Foilsithe / Cruthaithe: |
Springer Nature B.V.
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| Ábhair: | |
| Rochtain ar líne: | Citation/Abstract Full Text Full Text - PDF |
| Clibeanna: |
Níl clibeanna ann, Bí ar an gcéad duine le clib a chur leis an taifead seo!
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MARC
| LEADER | 00000nab a2200000uu 4500 | ||
|---|---|---|---|
| 001 | 3146658221 | ||
| 003 | UK-CbPIL | ||
| 022 | |a 1871-4080 | ||
| 022 | |a 1871-4099 | ||
| 024 | 7 | |a 10.1007/s11571-024-10126-9 |2 doi | |
| 035 | |a 3146658221 | ||
| 045 | 2 | |b d20241201 |b d20241231 | |
| 245 | 1 | |a Data-driven natural computational psychophysiology in class | |
| 260 | |b Springer Nature B.V. |c Dec 2024 | ||
| 513 | |a Journal Article | ||
| 520 | 3 | |a Objective. The assessment of mental fatigue (MF) and attention span in educational and healthcare settings frequently relies on subjective scales or methods such as induced-task interruption tools. However, these approaches are deficient in real-time evaluation and dynamic definitions. To address this gap, this paper proposes a Continuous Quantitative Scale (CQS) that allows for the natural and real-time measurement of MF based on group-synchronized electroencephalogram (EEG) data. Approach. In this study, computational psychophysiology was used to measure MF scores during a realistic class. Our methodology continuously monitored participants’ psychological states without interrupting their regular routines, providing an objective evaluation. By analyzing multi-subject brain-computer interface (mBCI) data with a collaborative computing approach, the group-synchronized data were obtained from 10 healthy participants to assess MF levels. Each participant wore an EEG headset for only 10 min of preparation before performing a sustained task for 80 min. Main results. Our findings indicate that a lecture duration of 18.9 min is most effective, while a duration of 43.1 min leads to heightened MF levels. By focusing on the group-level simultaneous data analysis, the effects of individual variability were mitigated and the efficiency of cognitive computing was improved. From the perspective of a neurocomputational measure, these results confirm previous research. Significance. The proposed CQS provides a reliable, objective, memory- and emotion-free approach to the assessment of MF and attention span. These findings have significant implications not only for education, but also for the study of group cognitive mechanisms and for improving the quality of mental healthcare. | |
| 653 | |a Physiology | ||
| 653 | |a Attention task | ||
| 653 | |a Brain | ||
| 653 | |a Psychophysiology | ||
| 653 | |a Fatigue | ||
| 653 | |a Computation | ||
| 653 | |a Attention | ||
| 653 | |a Biochips | ||
| 653 | |a Implants | ||
| 653 | |a Electroencephalography | ||
| 653 | |a Computer applications | ||
| 653 | |a Time synchronization | ||
| 653 | |a Physiological psychology | ||
| 653 | |a Evaluation | ||
| 653 | |a Cognition & reasoning | ||
| 653 | |a Time measurement | ||
| 653 | |a Health care | ||
| 653 | |a Data analysis | ||
| 653 | |a Human-computer interface | ||
| 653 | |a Inverse problems | ||
| 653 | |a EEG | ||
| 653 | |a Experiments | ||
| 653 | |a Design | ||
| 653 | |a Real time | ||
| 773 | 0 | |t Cognitive Neurodynamics |g vol. 18, no. 6 (Dec 2024), p. 3477 | |
| 786 | 0 | |d ProQuest |t Health & Medical Collection | |
| 856 | 4 | 1 | |3 Citation/Abstract |u https://www.proquest.com/docview/3146658221/abstract/embedded/6A8EOT78XXH2IG52?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text |u https://www.proquest.com/docview/3146658221/fulltext/embedded/6A8EOT78XXH2IG52?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text - PDF |u https://www.proquest.com/docview/3146658221/fulltextPDF/embedded/6A8EOT78XXH2IG52?source=fedsrch |