Sign inGet started
Paper · arXiv

Argumentation-Based Person-Tailored Storytelling for Older Adults: A Reflective Hybrid AI Architecture

This work investigates knowledge-driven, large language model (LLM)-based storytelling for older adults. We present a reflective storytelling agent integrating knowledge graphs, user modelling, and argumentation theory to guide person-tailored narratives. Argument mining supports inspection of argument structure, while persona grounding is assessed separately against structured information. The study comprised three phases. Phase I involved 11 domain experts whose feedback informed system refinement. Phase II involved 55 older adults evaluating narratives based on predefined personas across inquiry, deliberation, and persuasion purposes and two creativity levels. Phase III compared the fu...

AuthorsJayalakshmi Baskar, Vera C. Kaelin, Kaan Kilic et al.
Primary categorycs.AI
Published11 May 2026
Last updated at source11 October 2026
cs.AI
Embed this entry
<iframe src="https://silytics.si/embed/item/ea7a5346-72a5-4adf-88b3-14482d5cbf1b" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Free, no tracking. More about feeds and embeds.

Silytics shows public metadata from arXiv and links to the original. Information may be incomplete or out of date. Last refreshed 17 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.