Exploring the Interplay of Affective Engagement, Emotions, and Eye Movement During Multiple-Text Comprehension (Poster 29)

• In Event: Sunday Poster Session 3:05 pm
  In Poster Session: Studying and Self-Regulated Learning SIG Poster Session

Abstract

Affective engagement is an important factor in multiple-text reading. The aim of the current study is to investigate how multiple affective engagement factors, including topic interest, self-efficacy, and emotions, influence learners' eye movement patterns during multiple-text reading recorded by an automated facial emotion recognition system and eye-tracker. Nineteen participants were recruited, and their emotion and eye-movement data were combined. Linear mixed models analyzed the data, revealing that the topic interest negatively predicted total reading time, while the intensity of happiness positively predicted it. The intensity of sadness and anger moderated the effect of topic interest and self-efficacy on total reading time. The automated facial emotion recognition system and eye tracker provided valuable insights into multiple-text reading.

Authors

• Zheng Hong Guan, National Yang Ming Chiao Tung University

• San Ju Lin, National Yang Ming Chiao Tung University