@inproceedings{neis-etal-2023-analysis,
title = "An Analysis of Reader Engagement in Literary Fiction through Eye Tracking and Linguistic Features",
author = "Neis, Rose and
De Langis, Karin and
Kim, Zae Myung and
Kang, Dongyeop",
editor = "Akoury, Nader and
Clark, Elizabeth and
Iyyer, Mohit and
Chaturvedi, Snigdha and
Brahman, Faeze and
Chandu, Khyathi",
booktitle = "Proceedings of the 5th Workshop on Narrative Understanding",
month = jul,
year = "2023",
address = "Toronto, Canada",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2023.wnu-1.13",
doi = "10.18653/v1/2023.wnu-1.13",
pages = "73--81",
abstract = "Capturing readers{'} engagement in fiction is a challenging but important aspect of narrative understanding. In this study, we collected 23 readers{'} reactions to 2 short stories through eye tracking, sentence-level annotations, and an overall engagement scale survey. We analyzed the significance of various qualities of the text in predicting how engaging a reader is likely to find it. As enjoyment of fiction is highly contextual, we also investigated individual differences in our data. Furthering our understanding of what captivates readers in fiction will help better inform models used in creative narrative generation and collaborative writing tools.",
}
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<abstract>Capturing readers’ engagement in fiction is a challenging but important aspect of narrative understanding. In this study, we collected 23 readers’ reactions to 2 short stories through eye tracking, sentence-level annotations, and an overall engagement scale survey. We analyzed the significance of various qualities of the text in predicting how engaging a reader is likely to find it. As enjoyment of fiction is highly contextual, we also investigated individual differences in our data. Furthering our understanding of what captivates readers in fiction will help better inform models used in creative narrative generation and collaborative writing tools.</abstract>
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%0 Conference Proceedings
%T An Analysis of Reader Engagement in Literary Fiction through Eye Tracking and Linguistic Features
%A Neis, Rose
%A De Langis, Karin
%A Kim, Zae Myung
%A Kang, Dongyeop
%Y Akoury, Nader
%Y Clark, Elizabeth
%Y Iyyer, Mohit
%Y Chaturvedi, Snigdha
%Y Brahman, Faeze
%Y Chandu, Khyathi
%S Proceedings of the 5th Workshop on Narrative Understanding
%D 2023
%8 July
%I Association for Computational Linguistics
%C Toronto, Canada
%F neis-etal-2023-analysis
%X Capturing readers’ engagement in fiction is a challenging but important aspect of narrative understanding. In this study, we collected 23 readers’ reactions to 2 short stories through eye tracking, sentence-level annotations, and an overall engagement scale survey. We analyzed the significance of various qualities of the text in predicting how engaging a reader is likely to find it. As enjoyment of fiction is highly contextual, we also investigated individual differences in our data. Furthering our understanding of what captivates readers in fiction will help better inform models used in creative narrative generation and collaborative writing tools.
%R 10.18653/v1/2023.wnu-1.13
%U https://aclanthology.org/2023.wnu-1.13
%U https://doi.org/10.18653/v1/2023.wnu-1.13
%P 73-81
Markdown (Informal)
[An Analysis of Reader Engagement in Literary Fiction through Eye Tracking and Linguistic Features](https://aclanthology.org/2023.wnu-1.13) (Neis et al., WNU 2023)
ACL