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    <titleInfo>
        <title>Impact of Text Simplification on Eye-Tracking-Based Reading Profiles Across Domains</title>
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        <namePart type="given">Oksana</namePart>
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            <title>Proceedings fo the Second International Workshop on Eye-Tracking Resources and Evaluation for Human-Aligned NLP</title>
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        <name type="personal">
            <namePart type="given">Cengiz</namePart>
            <namePart type="family">Acartürk</namePart>
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    <abstract>Understanding how text readability affects reading behaviour is crucial for improving accessibility and health communication. We analyse sentence-level eye-tracking data from the French Eye-TrAcking (FETA) corpus, which includes original and manually simplified texts from three domains: general, medical, and clinical. Using clustering of fixation-based features, we identify recurrent processing patterns and examine how these patterns change under text simplification. Cluster quality is evaluated using silhouette scores and participant-level bootstrap stability. Simplification does not uniformly reduce reading effort but reorganises processing in domain-dependent ways. Medical texts show strong diversification, general texts moderate diversification, and clinical texts show a reduction in the number of distinct reading profiles. Hence, rather than uniformly facilitating reading, simplification redistributes effort across sentences, underscoring the need for domain-sensitive readability approaches.</abstract>
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    <identifier type="doi">10.63317/2qibmhbnsowq</identifier>
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%0 Conference Proceedings
%T Impact of Text Simplification on Eye-Tracking-Based Reading Profiles Across Domains
%A Ivchenko, Oksana
%A Grabar, Natalia
%Y Acartürk, Cengiz
%Y Can, Burcu
%Y Nasir, Jamal
%Y Çöltekin, Çağrı
%S Proceedings fo the Second International Workshop on Eye-Tracking Resources and Evaluation for Human-Aligned NLP
%D 2026
%8 May
%I ELDA
%C Palma de Mallorca, Spain
%F ivchenko-grabar-2026-impact
%X Understanding how text readability affects reading behaviour is crucial for improving accessibility and health communication. We analyse sentence-level eye-tracking data from the French Eye-TrAcking (FETA) corpus, which includes original and manually simplified texts from three domains: general, medical, and clinical. Using clustering of fixation-based features, we identify recurrent processing patterns and examine how these patterns change under text simplification. Cluster quality is evaluated using silhouette scores and participant-level bootstrap stability. Simplification does not uniformly reduce reading effort but reorganises processing in domain-dependent ways. Medical texts show strong diversification, general texts moderate diversification, and clinical texts show a reduction in the number of distinct reading profiles. Hence, rather than uniformly facilitating reading, simplification redistributes effort across sentences, underscoring the need for domain-sensitive readability approaches.
%R 10.63317/2qibmhbnsowq
%U https://aclanthology.org/2026.gaze4nlp-1.4/
%U https://doi.org/10.63317/2qibmhbnsowq
%P 24-29

Markdown (Informal)

[Impact of Text Simplification on Eye-Tracking-Based Reading Profiles Across Domains](https://aclanthology.org/2026.gaze4nlp-1.4/) (Ivchenko & Grabar, Gaze4NLP 2026)

• Impact of Text Simplification on Eye-Tracking-Based Reading Profiles Across Domains (Ivchenko & Grabar, Gaze4NLP 2026)

ACL

• Oksana Ivchenko and Natalia Grabar. 2026. Impact of Text Simplification on Eye-Tracking-Based Reading Profiles Across Domains. In Proceedings fo the Second International Workshop on Eye-Tracking Resources and Evaluation for Human-Aligned NLP, pages 24–29, Palma de Mallorca, Spain. ELDA.