Social robotic application to support active and healthy ageing

S Cooper, A Di Fava, O Villacañas… - 2021 30th IEEE …, 2021 - ieeexplore.ieee.org
With the world population ageing and with the number of healthcare users needing
assistance and support increasing, healthcare is becoming more costly and, as such, the …

[HTML][HTML] Question answering models for human–machine interaction in the manufacturing industry

E Ruiz, MI Torres, A del Pozo - Computers in Industry, 2023 - Elsevier
This paper presents a question answering (QA) system that will enable workers from the
manufacturing industry to'hands-free'request information. This kind of systems, that are …

Dialogue enhanced extended reality: Interactive system for the operator 4.0

M Serras, L García-Sardiña, B Simões, H Álvarez… - Applied Sciences, 2020 - mdpi.com
The nature of industrial manufacturing processes and the continuous need to adapt
production systems to new demands require tools to support workers during transitions to …

Dialogue management and language generation for a robust conversational virtual coach: Validation and user study

A Vázquez, A López Zorrilla, JM Olaso, MI Torres - Sensors, 2023 - mdpi.com
Designing human–machine interactive systems requires cooperation between different
disciplines is required. In this work, we present a Dialogue Manager and a Language …

A multilingual neural coaching model with enhanced long-term dialogue structure

AL Zorrilla, MI Torres - ACM Transactions on Interactive Intelligent …, 2022 - dl.acm.org
In this work we develop a fully data driven conversational agent capable of carrying out
motivational coaching sessions in Spanish, French, Norwegian, and English. Unlike the …

AREVA: Augmented reality voice assistant for industrial maintenance

M Serras, L García-Sardiña, B Sim… - … del Lenguaje Natural, 2020 - journal.sepln.org
Within the context of Industry 4.0, AREVA is presented: a Voice Assistant with Augmented
Reality visualisations for the support and guidance of operators when carrying out tasks and …

Lessons learnt from deploying ari in residential care

S Cooper, F Ferro - arxiv preprint arxiv:2207.02762, 2022 - arxiv.org
This paper describes the final prototype of an assistive robot used for increasing
engagement of older adults in the context of SHAPES project. It then highlights lessons …

[PDF][PDF] Goal-conditioned User Modeling for Dialogue Systems using Stochastic Bi-Automata.

M Serras, MI Torres, A Del Pozo - ICPRAM, 2019 - academia.edu
User Models (UM) are commonly employed to train and evaluate dialogue systems as they
generate dialogue samples that simulate end-user behavior. This paper presents a …

[PDF][PDF] Improving Dialogue Smoothing with A-priori State Pruning.

M Serras, MI Torres, A Del Pozo - ICPRAM, 2020 - scitepress.org
When Dialogue Systems (DS) face real usage, a challenge to solve is managing unforeseen
situations without breaking the coherence of the dialogue. One way to achieve this is by …

Simplifying the Development of Conversational Speech Interfaces by Non-Expert End-Users Through Dialogue Templates

M Aguirre, A Méndez, M Torralbo… - … Conference on Computer …, 2023 - Springer
Conversational speech interface development, maintenance and evolution is challenging for
non-experts as it requires linguistic knowledge and proficiency in chatbot design and …