https://hdl.handle.net/10481/19606 2026-04-27T04:45:54Z 2026-04-27T04:45:54Z Pablos-Sarabia, Rafael Griol Barres, David Callejas Carrión, Zoraida https://hdl.handle.net/10481/88563 2024-02-07T11:05:22Z

A Proposal for Data Collection and Process Automatization for Ubiquitous Engagement with Mental Health Organizations Pablos-Sarabia, Rafael; Griol Barres, David; Callejas Carrión, Zoraida Mental health is one of the most significant public health challenges. In recent years, several motivational applications have been proposed to help users maintain good mental health. However, many times these applications focus on uplifting messages or general resources that are not tailored to the specific needs of their users. In contrast, non-profit organizations implement effective methods to support people based on their real needs and set concrete attainable objectives. Unfortunately, these organizations tend to be saturated by the number of clients and the lack of automatization in their processes. In this paper, we present a proposal to improve mental health organizations’ data collection and decision processes through a web application, allowing workers to store, access, and modify client data more efficiently. The computerized model is exploited by an intelligent conversational assistant to provide around-the-clock personalized and ubiquitous interaction with clients to encourage engagement with the organization.

Griol Barres, David Callejas Carrión, Zoraida Fernández-Martínez, Fernando Esposito, Anna https://hdl.handle.net/10481/78999 2023-01-16T07:51:34Z

An application of conversational systems to promote healthy lifestyle habits Griol Barres, David; Callejas Carrión, Zoraida; Fernández-Martínez, Fernando; Esposito, Anna Recent reports indicate the multiple benefits of adopting conversational systems for healthcare, providing automation of management tasks in overburdened healthcare systems, improved patient experiences, and better efficiency and productivity rates. In this paper, we describe a conversational system aimed at promoting healthy lifestyle habits related to nutrition and physical exercise. The system has been developed using Google’s Dialogflow platform and the combination of different APIs and data repositories in the cloud. It has been integrated in the Facebook Messenger instant messaging platform. The results of the preliminary assessment of the system through a subjective questionnaire show the high degree of satisfaction of the users with the functionalities provided and the help offered to allow fulfilling the predefined objectives.

Griol Barres, David Callejas Carrión, Zoraida https://hdl.handle.net/10481/58919 2021-06-15T13:28:19Z

Discovering Dialog Rules by means of an Evolutionary Approach Griol Barres, David; Callejas Carrión, Zoraida Designing the rules for the dialog management process is oneof the most resources-consuming tasks when developing a dialog system. Although statistical approaches to dialog management are becoming mainstream in research and industrial contexts, still many systems are being developed following the rule-based or hybrid paradigms. For example, when developers require deterministic system responses to keep total control on the decisions made by the system, or because the infrastructure employed is designed for rule-based systems using technologies currently used in commercial platforms. In this paper, we propose the use of evolutionary algorithms to automatically obtain the dialog rules that are implicit in a dialog corpus. Our proposal makes it possible to exploit the benefits of statistical approaches to build rule-based systems. Our proposal has been evaluated with a practical spoken dialog system, for which we have automatically obtained a set of fuzzy rules to successfully manage the dialog.