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ScanDL 2.0: A Generative Model of Eye Movements in Reading Synthesizing Scanpaths and Fixation Durations

Date

Date

Date
2025
Journal Article
Published version

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Bolliger, L. S., Reich, D. R., & Jäger, L. A. (2025). ScanDL 2.0: A Generative Model of Eye Movements in Reading Synthesizing Scanpaths and Fixation Durations. Proceedings of the ACM on Human-Computer Interaction, 9(3), 1–29. https://doi.org/10.1145/3725830

Abstract

Abstract

Abstract

Eye movements in reading have become a vital tool for investigating the cognitive mechanisms involved in language processing. They are not only used within psycholinguistics but have also been leveraged within the field of NLP to improve the performance of language models on downstream tasks. However, the scarcity of real eye-tracking data and its limited generalizability at inference time present challenges for data-driven approaches. In response, synthetic scanpaths have emerged as a promising alternative. Despite advances, however,

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3 in Web of Science Acq. date: 2026-01-28

Additional indexing

Creators (Authors)

Journal/Series Title

Journal/Series Title

Journal/Series Title

Volume

Volume

Volume
9

Number

Number

Number
3

Page range/Item number

Page range/Item number

Page range/Item number
1

Page end

Page end

Page end
29

Item Type

Item Type

Item Type
Journal Article

Dewey Decimal Classifikation

Dewey Decimal Classifikation

Dewey Decimal Classifikation

Language

Language

Language
English

Publication date

Publication date

Publication date
2025-05-22

Date available

Date available

Date available
2025-07-09

Publisher

Publisher

Publisher

ISSN or e-ISSN

ISSN or e-ISSN

ISSN or e-ISSN
2573-0142

OA Status

OA Status

OA Status
Hybrid

Free Access at

Free Access at

Free Access at
DOI

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Citations

3 in Web of Science Acq. date: 2026-01-28

Citations

Citation copied

Bolliger, L. S., Reich, D. R., & Jäger, L. A. (2025). ScanDL 2.0: A Generative Model of Eye Movements in Reading Synthesizing Scanpaths and Fixation Durations. Proceedings of the ACM on Human-Computer Interaction, 9(3), 1–29. https://doi.org/10.1145/3725830

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