@inproceedings{tayal-etal-2026-conversational,
title = "Conversational Assistants to Support Patients with Heart Failure: Comparing a Neurosymbolic Architecture with {GPT}",
author = "Tayal, Anuja and
Salunke, Devika and
Di Eugenio, Barbara and
Allen-Meares, Paula G. and
Abril, Eulalia P. and
Garcia-Bedoya, Olga and
Dickens, Carolyn A. and
Boyd, Andrew D.",
editor = "Piperidis, Stelios and
Bel, N{\'u}ria and
van den Heuvel, Henk and
Ide, Nancy and
Krek, Simon and
Toral, Antonio",
booktitle = "Proceedings of the Fifteenth Language Resources and Evaluation Conference",
month = may,
year = "2026",
address = "Palma de Mallorca, Spain",
publisher = "ELRA Language Resource Association",
url = "https://aclanthology.org/2026.lrec-1.228/",
doi = "10.63317/4tng9rshvsna",
pages = "2913--2926",
abstract = "Conversational assistants are becoming increasingly popular, including in healthcare, partly due to the availability and capabilities of Large Language Models. There is a need for controlled, probing evaluations with real stakeholders, which can highlight the advantages and disadvantages of more traditional architectures and those based on generative AI. We present a within-group user study to compare two versions of a conversational assistant that allows patients with heart failure to ask about the salt content in food. One version of the system was developed with a neurosymbolic architecture, and another is based on GPT. Our objective in evaluating the two dialogue systems was not only to compare task performance but also to gain insights from real stakeholders. Results indicate that the two systems complement each other, highlighting the promise of a hybrid approach that leverages the strengths of both systems."
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%0 Conference Proceedings
%T Conversational Assistants to Support Patients with Heart Failure: Comparing a Neurosymbolic Architecture with GPT
%A Tayal, Anuja
%A Salunke, Devika
%A Di Eugenio, Barbara
%A Allen-Meares, Paula G.
%A Abril, Eulalia P.
%A Garcia-Bedoya, Olga
%A Dickens, Carolyn A.
%A Boyd, Andrew D.
%Y Piperidis, Stelios
%Y Bel, Núria
%Y van den Heuvel, Henk
%Y Ide, Nancy
%Y Krek, Simon
%Y Toral, Antonio
%S Proceedings of the Fifteenth Language Resources and Evaluation Conference
%D 2026
%8 May
%I ELRA Language Resource Association
%C Palma de Mallorca, Spain
%F tayal-etal-2026-conversational
%X Conversational assistants are becoming increasingly popular, including in healthcare, partly due to the availability and capabilities of Large Language Models. There is a need for controlled, probing evaluations with real stakeholders, which can highlight the advantages and disadvantages of more traditional architectures and those based on generative AI. We present a within-group user study to compare two versions of a conversational assistant that allows patients with heart failure to ask about the salt content in food. One version of the system was developed with a neurosymbolic architecture, and another is based on GPT. Our objective in evaluating the two dialogue systems was not only to compare task performance but also to gain insights from real stakeholders. Results indicate that the two systems complement each other, highlighting the promise of a hybrid approach that leverages the strengths of both systems.
%R 10.63317/4tng9rshvsna
%U https://aclanthology.org/2026.lrec-1.228/
%U https://doi.org/10.63317/4tng9rshvsna
%P 2913-2926
Markdown (Informal)
[Conversational Assistants to Support Patients with Heart Failure: Comparing a Neurosymbolic Architecture with GPT](https://aclanthology.org/2026.lrec-1.228/) (Tayal et al., LREC 2026)
ACL
- Anuja Tayal, Devika Salunke, Barbara Di Eugenio, Paula G. Allen-Meares, Eulalia P. Abril, Olga Garcia-Bedoya, Carolyn A. Dickens, and Andrew D. Boyd. 2026. Conversational Assistants to Support Patients with Heart Failure: Comparing a Neurosymbolic Architecture with GPT. In Proceedings of the Fifteenth Language Resources and Evaluation Conference, pages 2913–2926, Palma de Mallorca, Spain. ELRA Language Resource Association.