Capturing physiological data for detecting boredom in educational contexts
Author:
Affiliation:
1. Universidad Nacional de La Pampa, Argentina
2. Universidad de Zaragoza, Spain
3. Universidad Nacional de La Plata, Argentina
Funder
MCIN/AEI/10.13039/ 501100011033/ and European Union NextGenerationEU/PRTR
Aragonese Government
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3612783.3612811
Reference29 articles.
1. MsWH: A Multi-Sensory Hardware Platform for Capturing and Analyzing Physiological Emotional Signals
2. Gustavo Javier Astudillo, Cecilia Verónica Sanz, Sandra Baldassarri Santalucía, and Aurora Moreno. 2023. Emociones académicas. Cuáles son y cómo se identifican. Hurlingham, Bs As. Retrieved from En imprenta
3. Measuring emotion: The self-assessment manikin and the semantic differential
4. Eeglab – an Open Source Matlab Toolbox for Electrophysiological Research
5. Paul Ekman. 1999. Basic emotions. In Handbook of cognition and emotion, Tim Dalgleish and Mick Power (eds.). John Wiley & Sons, Ltd, 45–60.
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