An Analysis of Reader Engagement in Literary Fiction through Eye Tracking and Linguistic Features

Rose Neis, Zae Myung Kim, Karin J De Langis, Dongyeop Kang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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.

Original languageEnglish (US)
Title of host publication5th Workshop on Narrative Understanding, WNU 2023 - Proceedings of the Workshop
EditorsNader Akoury, Elizabeth Clark, Mohit Iyyer, Snigdha Chaturvedi, Faeze Brahman, Khyathi Raghavi Chandu
PublisherAssociation for Computational Linguistics (ACL)
Pages73-81
Number of pages9
ISBN (Electronic)9781959429920
StatePublished - 2023
Event5th Workshop on Narrative Understanding, WNU 2023 - Toronto, Canada
Duration: Jul 14 2023 → …

Publication series

NameProceedings of the Annual Meeting of the Association for Computational Linguistics
ISSN (Print)0736-587X

Conference

Conference5th Workshop on Narrative Understanding, WNU 2023
Country/TerritoryCanada
CityToronto
Period7/14/23 → …

Bibliographical note

Publisher Copyright:
© 2023 Association for Computational Linguistics.

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