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10 results on '"Martin-Ruiz, María-Luisa"'

1. Exploring the Efficacy of Robotic Assistants with ChatGPT and Claude in Enhancing ADHD Therapy: Innovating Treatment Paradigms

Author

Berrezueta-Guzman, Santiago, Kandil, Mohanad, Martín-Ruiz, María-Luisa, Pau-de-la-Cruz, Iván, and Krusche, Stephan

Subjects
Computer Science - Artificial Intelligence, Computer Science - Human-Computer Interaction, Computer Science - Software Engineering
Abstract

Attention Deficit Hyperactivity Disorder (ADHD) is a neurodevelopmental condition characterized by inattention, hyperactivity, and impulsivity, which can significantly impact an individual's daily functioning and quality of life. Occupational therapy plays a crucial role in managing ADHD by fostering the development of skills needed for daily living and enhancing an individual's ability to participate fully in school, home, and social situations. Recent studies highlight the potential of integrating Large Language Models (LLMs) like ChatGPT and Socially Assistive Robots (SAR) to improve psychological treatments. This integration aims to overcome existing limitations in mental health therapy by providing tailored support and adapting to the unique needs of this sensitive group. However, there remains a significant gap in research exploring the combined use of these advanced technologies in ADHD therapy, suggesting an opportunity for novel therapeutic approaches. Thus, we integrated two advanced language models, ChatGPT-4 Turbo and Claude-3 Opus, into a robotic assistant to explore how well each model performs in robot-assisted interactions. Additionally, we have compared their performance in a simulated therapy scenario to gauge their effectiveness against a clinically validated customized model. The results of this study show that ChatGPT-4 Turbo excelled in performance and responsiveness, making it suitable for time-sensitive applications. Claude-3 Opus, on the other hand, showed strengths in understanding, coherence, and ethical considerations, prioritizing safe and engaging interactions. Both models demonstrated innovation and adaptability, but ChatGPT-4 Turbo offered greater ease of integration and broader language support. The selection between them hinges on the specific demands of ADHD therapy., Comment: Paper accepted at the 20th International Conference on Intelligent Environments

Published
2024

2. Artificial Vision Algorithm for Behavior Recognition in Children with ADHD in a Smart Home Environment

Author

Berrezueta-Guzman, Jonnathan, Krusche, Stephan, Serpa-Andrade, Luis, Martín-Ruiz, María-Luisa, Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, and Arai, Kohei, editor

Published
2023
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4. Assessing Developmental Difficulties in Children Through Connected Smart Toys

Author

Rivera, Diego, Martin-Ruiz, Maria Luisa, Cruz-Piris, Luis, van der Meulen, Kevin, García, Antonio, García, Cristina Serrano, Fernández, Susel, Alarcos, Bernardo, Velasco, Juan R., Ben-Arieh, Asher, Series Editor, Aber, J.Lawrence, Editorial Board Member, Bradshaw, Johnathan, Editorial Board Member, Casas, Ferran, Editorial Board Member, Chung, Ick-Joong, Editorial Board Member, Dubowitz, Howard, Editorial Board Member, Frønes, Ivar, Editorial Board Member, Furstenberg, Frank, Editorial Board Member, Gilligan, Robbie, Editorial Board Member, George, Robert M., Editorial Board Member, Gough, Ian, Editorial Board Member, Jensen, An-Magritt, Editorial Board Member, Kamerman, Sheila B., Editorial Board Member, Korbin, Jill.E, Editorial Board Member, Kutsar, Dagmar, Editorial Board Member, Land, Kenneth C., Editorial Board Member, Lee, Bong Joo, Editorial Board Member, Mason, Jan, Editorial Board Member, Moore, Kristin A., Editorial Board Member, Nauck, Bernhard, Editorial Board Member, Nayar, Usha S., Editorial Board Member, Phipps, Shelley, Editorial Board Member, Sanders, Jackie, Editorial Board Member, Sgritta, Giovanni, Editorial Board Member, Weisner, Thomas S., Editorial Board Member, Wintersberger, Helmut, Editorial Board Member, Holloway, Donell, editor, Willson, Michele, editor, Murcia, Karen, editor, Archer, Catherine, editor, and Stocco, Francesca, editor

Published
2021
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5. Creation of an Intelligent System to Support the Therapy Process in Children with ADHD

Author

Dolón-Poza, María, Berrezueta-Guzman, Jonnathan, Martín-Ruiz, María-Luisa, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Rodriguez Morales, Germania, editor, Fonseca C., Efraín R., editor, Salgado, Juan Pablo, editor, Pérez-Gosende, Pablo, editor, Orellana Cordero, Marcos, editor, and Berrezueta, Santiago, editor

Published
2020
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6. Development of a Home Accompaniment System Providing Homework Assistance for Children with ADHD

Author

López-Pérez, Laura, Berrezueta-Guzman, Jonnathan, Martín-Ruiz, María-Luisa, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Rodriguez Morales, Germania, editor, Fonseca C., Efraín R., editor, Salgado, Juan Pablo, editor, Pérez-Gosende, Pablo, editor, Orellana Cordero, Marcos, editor, and Berrezueta, Santiago, editor

Published
2020
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7. Blexer-med: A Medical Web Platform for Administrating Full Play Therapeutic Exergames

Author

Eckert, Martina, Jiménez, Mónica, Martín-Ruiz, María-Luisa, Meneses, Juan, Salgado, Luis, Akan, Ozgur, Series editor, Bellavista, Paolo, Series editor, Cao, Jiannong, Series editor, Coulson, Geoffrey, Series editor, Dressler, Falko, Series editor, Ferrari, Domenico, Series editor, Gerla, Mario, Series editor, Kobayashi, Hisashi, Series editor, Palazzo, Sergio, Series editor, Sahni, Sartaj, Series editor, Shen, Xuemin Sherman, Series editor, Stan, Mircea, Series editor, Xiaohua, Jia, Series editor, Zomaya, Albert Y., Series editor, Guidi, Barbara, editor, Ricci, Laura, editor, Calafate, Carlos, editor, Gaggi, Ombretta, editor, and Marquez-Barja, Johann, editor

Published
2018
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8. A Cooperative Decision Support System for Children’s Neurodevelopment Monitoring

Author

Martin-Ruiz, María-Luisa, Valero, Miguel-Angel, Gómez, Ana, Torcal, Carmen, Akan, Ozgur, Series editor, Bellavista, Paolo, Series editor, Cao, Jiannong, Series editor, Coulson, Geoffrey, Series editor, Dressler, Falko, Series editor, Ferrari, Domenico, Series editor, Gerla, Mario, Series editor, Kobayashi, Hisashi, Series editor, Palazzo, Sergio, Series editor, Sahni, Sartaj, Series editor, Shen, Xuemin Sherman, Series editor, Stan, Mircea, Series editor, Xiaohua, Jia, Series editor, Zomaya, Albert Y., Series editor, Mandler, Benny, editor, Marquez-Barja, Johann, editor, Mitre Campista, Miguel Elias, editor, Cagáňová, Dagmar, editor, Chaouchi, Hakima, editor, Zeadally, Sherali, editor, Badra, Mohamad, editor, Giordano, Stefano, editor, Fazio, Maria, editor, Somov, Andrey, editor, and Vieriu, Radu-Laurentiu, editor

Published
2016
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9. Serious Game for the Screening of Central Auditory Processing Disorder in School-Age Children: Development and Validation Study.

Author

Gabaldón-Pérez, Ana-Marta, Dolón-Poza, María, Eckert, Martina, Máximo-Bocanegra, Nuria, Martin-Ruiz, María-Luisa, and De La Cruz, Iván Pau

Subjects
AUDITORY processing disorder, MEDICAL care, DIGITAL health, SCHOOL children, CHILD development
Abstract

Background: Currently, many central auditory processing disorder screening tests are available for children, and serious games (SGs) are frequently used as a tool for the diagnosis of different neural deficits and disorders in health care. However, it has not been possible to find a proposal that unifies both ideas. In addition, the validation and improvement of SGs, in general, does not take into account the player-game interaction, thus omitting valuable information about the playability and usability of the game. Objective: This study presented Amalia's Planet, a game conceived for use in school environments, which allows a first assessment of a child through their performance of the proposed tasks related to different aspects of auditory performance. In addition, the game defines a series of events in relation to the execution of the tasks, which were evaluated for the subsequent optimization of its performance and the improvement of its usability. Methods: Using screening tools based on the use of SG technologies, a total of 87 school-age children were evaluated to test the various hypotheses proposed in this study. By grouping users according to whether they had personal history of hearing pathologies, the discriminant power, playability, and usability of the final solution were examined using traditional statistical techniques and process mining (PM) algorithms. Results: With a confidence level of 80% for test 2 (P=.19), there was no statistical evidence to reject the null hypothesis that a player's performance is affected by whether the player had a previous auditory pathology. Furthermore, the tool allowed the screening of 2 players initially categorized as healthy because of their low level of performance in the tests and the similarity of their behavior with that of the group of children with a previous pathology. With regard to the validation of the proposed solution, the use of PM techniques made it possible to detect the existence of events that lasted too long, which can lead to player frustration, and to discover small structural flaws in the game. Conclusions: SGs seem to be an appropriate tool for the screening of children at risk of central auditory processing disorder. Moreover, the set of PM techniques provides a reliable source of information regarding the playability and usability of the solution to the development team, allowing its continuous optimization. [ABSTRACT FROM AUTHOR]

Published
2023
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