Predicting Co-occurring Emotions from Eye-Tracking and Interaction Data in MetaTutor

Autor:	Sébastien Lallé, Rohit Murali, Roger Azevedo, Cristina Conati
Rok vydání:	2021
Předmět:	Co occurring media_common.quotation_subject medicine Curiosity Eye tracking Anxiety Context (language use) Boredom medicine.symptom Psychology Baseline (configuration management) Cognitive psychology media_common
Zdroj:	Lecture Notes in Computer Science ISBN: 9783030782917 AIED (1)
Popis:	Emotions in Intelligent Tutoring Systems (ITS) are often modeled as single affective states, however there is evidence that emotions co-occur during learning, with implications for affect-aware ITS that need to have a comprehensive understanding of a student’s affective state to react accordingly. In this paper we broaden the evidence that emotions co-occur in an educational context, and present a first attempt to predict these co-occurrences from data, using the MetaTutor ITS as a test-bed. We show that boredom+frustration, as well as curiosity+anxiety, frequently co-occur in MetaTutor, and that we can predict when these emotions co-occur significantly better than a baseline using eye-tracking and interaction data. These findings provide a first step toward building affect-aware ITS that can adapt to these complex co-occurring affective states.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::52b862e4ce41de62bbaa6e903ed8bcab https://doi.org/10.1007/978-3-030-78292-4_20 Zobrazit plný text záznamu