A Persuasive System for Stress Detection and Management in an Educational Environment

Pablo Calcina-Ccori, Eduardo S. Rodriguez-Canales, Edgar Sarmiento-Calisaya

Producción científica: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva


This paper addresses the development of a persuasive IoT system for stress detection and management in students during classroom situations. An emotion-aware persuasive architecture is developed with four modules: Context Acquisition, Context Manager, Persuasion Manager and Context-Aware Applications. By using the galvanic skin response biomarker, the real-time stress level is measured by the wearable wristband Empatica E4. The data, processed and classified on discrete stress levels from 0 to 5, is sent to the context module that identifies situations of interest where the students need positive reinforcement from the persuasive system. Based on the situation of interest and the user’s profile, the persuasive module composes personalized persuasive messages displayed in a mobile application. The persuasive system was evaluated through an exploratory study during a class session, with encouraging results in detecting stress levels and the positive effect of persuasive messages on students.

Idioma originalInglés
Título de la publicación alojadaInternet of Things - 5th The Global IoT Summit, GIoTS 2022, Revised Selected Papers
EditoresAurora González-Vidal, Ahmed Mohamed Abdelgawad, Essaid Sabir, Sébastien Ziegler, Latif Ladid
EditorialSpringer Science and Business Media Deutschland GmbH
Número de páginas11
ISBN (versión impresa)9783031209352
EstadoPublicada - 2022
Evento5th The Global IoT Summit, GIoTS 2022 - Dublin, Irlanda
Duración: 20 jun. 202223 jun. 2022

Serie de la publicación

NombreLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volumen13533 LNCS
ISSN (versión impresa)0302-9743
ISSN (versión digital)1611-3349


Conferencia5th The Global IoT Summit, GIoTS 2022

Nota bibliográfica

Publisher Copyright:
© 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.


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