What is it about?
To advance knowledge across disciplines it is crucial to bridge the gap between readers and writers of scientific texts. We introduce Reader-aware Congruence Assistant (RaCA): an approach to scientific writing that adapts texts to target readers. RaCA dynamically computes reader profiles from academic search engines or scholarly applications, inspired by User-Centered Design(UCD), and leverages large language models (LLMs) to measure text-reader congruence.
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Why is it important?
RaCA aims to support authors in creating texts that are better aligned with reader backgrounds, potentially enhancing comprehension, supporting socio-discursive practices within disciplinary communities in an expanding Web of scientific ideas.
Perspectives
I think that Reader Profiles based on publications by potential readers are, at least in principle, a good idea.
Ge Li
Universita degli Studi di Bologna
Read the Original
This page is a summary of: Reader-aware Writing Assistance through Reader Profiles, September 2024, ACM (Association for Computing Machinery),
DOI: 10.1145/3648188.3675152.
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