TY - GEN
T1 - Reader Characteristics, Reading Order, and Facial Emotions Expressed in Reading Science Texts
AU - Hsiang, Yu San
AU - Guan, Zheng Hong
AU - Lin, Sunny S.J.
N1 - Publisher Copyright:
© 2023 Asia-Pacific Society for Computers in Education.
PY - 2023/12
Y1 - 2023/12
N2 - Emotion plays an important role in online reading and self-regulated learning. It could influence reading processing and even the outcomes through motivation functions. Since previous studies mostly adopted questionnaires to access readers’ emotions, research that applied facial emotion detection non-intrusively during reading process is still limited. Therefore, the purpose of this study was to investigate how readers’ on-going emotions fluctuated under different reading conditions, i.e., with different reader characteristics and reading orders, using a facial emotion analysis system. 21 participants were recruited and presented with four conflicting scientific texts that included positive or negative arguments on genome editing. These participants were divided into the high and low engagements and then were assigned different reading orders of positive-first or negative-first articles. The results showed that participants who read negative-first expressed more sadness and less happiness. Meanwhile, the high engagements showed more anger when reading positive-first, but the low-engagements showed more anger when reading the negative-first. Reading negative-first performed better, but writing performance did not differ according to the group membership or reading order. These findings suggest that (1) the influence of emotions on online reading multiple and conflict science texts and performance is complex; negative activating emotions like sadness and anger could be beneficial to reading performance, while positive activating emotions like happiness could be harmful for reproductive performance. (2) Using facial expression to non-intrusively detect readers’ momentary emotions provides meaningful insights into the fluctuation of emotion during reading science texts. With only six basic emotions, it may not be enough to fully show the motivational transitions in reading process. The interpretation of these facial emotions should be considered beyond their surface meaning.
AB - Emotion plays an important role in online reading and self-regulated learning. It could influence reading processing and even the outcomes through motivation functions. Since previous studies mostly adopted questionnaires to access readers’ emotions, research that applied facial emotion detection non-intrusively during reading process is still limited. Therefore, the purpose of this study was to investigate how readers’ on-going emotions fluctuated under different reading conditions, i.e., with different reader characteristics and reading orders, using a facial emotion analysis system. 21 participants were recruited and presented with four conflicting scientific texts that included positive or negative arguments on genome editing. These participants were divided into the high and low engagements and then were assigned different reading orders of positive-first or negative-first articles. The results showed that participants who read negative-first expressed more sadness and less happiness. Meanwhile, the high engagements showed more anger when reading positive-first, but the low-engagements showed more anger when reading the negative-first. Reading negative-first performed better, but writing performance did not differ according to the group membership or reading order. These findings suggest that (1) the influence of emotions on online reading multiple and conflict science texts and performance is complex; negative activating emotions like sadness and anger could be beneficial to reading performance, while positive activating emotions like happiness could be harmful for reproductive performance. (2) Using facial expression to non-intrusively detect readers’ momentary emotions provides meaningful insights into the fluctuation of emotion during reading science texts. With only six basic emotions, it may not be enough to fully show the motivational transitions in reading process. The interpretation of these facial emotions should be considered beyond their surface meaning.
KW - emotions
KW - Facial expressions
KW - reader characteristics
KW - reading order
KW - scientific article
UR - http://www.scopus.com/inward/record.url?scp=85181772259&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:85181772259
T3 - 31st International Conference on Computers in Education, ICCE 2023 - Proceedings
SP - 155
EP - 164
BT - 31st International Conference on Computers in Education, ICCE 2023 - Proceedings
A2 - Shih, Ju-Ling
A2 - Kashihara, Akihiro
A2 - Chen, Weiqin
A2 - Chen, Weiqin
A2 - Ogata, Hiroaki
A2 - Baker, Ryan
A2 - Chang, Ben
A2 - Dianati, Seb
A2 - Madathil, Jayakrishnan
A2 - Yousef, Ahmed Mohamed Fahmy
A2 - Yang, Yuqin
A2 - Zarzour, Hafed
PB - Asia-Pacific Society for Computers in Education
T2 - 31st International Conference on Computers in Education, ICCE 2023
Y2 - 4 December 2023 through 8 December 2023
ER -