Nowadays, students face stressful situations that affect their mental health and negatively impact their academic performance. This situation has been exacerbated due to the COVID-19 pandemics. Teaching and learning process stakeholders face two main problems: the lack of awareness of the situations arising from students and the little available information that support the teaching activities. Here, we propose an emotion-aware architecture for persuasive systems in education, identifying challenging classroom situations and promoting mental health through multi-modal persuasive notifications. An important module is emotion inference, which reads real-time physiological data from students through the Empatica E4 wristband. Based on this architecture, we developed the Kusisqa persuasive system, to support students in regulating their negative emotions (They can all lead to stress) during challenging classroom situations. Preliminary results provide insights that teachers achieved an increased awareness of the situations of students and perceived the prototype tool as useful.
|Title of host publication||2022 IEEE International Conference on Consumer Electronics, ICCE 2022|
|Publisher||Institute of Electrical and Electronics Engineers Inc.|
|State||Published - 2022|
|Event||2022 IEEE International Conference on Consumer Electronics, ICCE 2022 - Virtual, Online, United States|
Duration: 7 Jan 2022 → 9 Jan 2022
|Name||Digest of Technical Papers - IEEE International Conference on Consumer Electronics|
|Conference||2022 IEEE International Conference on Consumer Electronics, ICCE 2022|
|Period||7/01/22 → 9/01/22|
Bibliographical notePublisher Copyright:
© 2022 IEEE.
- Context-Aware Systems
- internet of things
- Persuasive systems
- software architecture