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181 results on '"Catala, Alejandro"'

1. Adapting the Emobook Life Story Book App for Reminiscence Focused Music Therapy in Dementia Care: An Interdisciplinary Participatory Design Approach

Author

Gerbaudo-Gonzalez, Noelia, Catala, Alejandro, Condori-Fernandez, Nelly, Gandoy-Crego, Manuel, Akan, Ozgur, Editorial Board Member, Bellavista, Paolo, Editorial Board Member, Cao, Jiannong, Editorial Board Member, Coulson, Geoffrey, Editorial Board Member, Dressler, Falko, Editorial Board Member, Ferrari, Domenico, Editorial Board Member, Gerla, Mario, Editorial Board Member, Kobayashi, Hisashi, Editorial Board Member, Palazzo, Sergio, Editorial Board Member, Sahni, Sartaj, Editorial Board Member, Shen, Xuemin, Editorial Board Member, Stan, Mircea, Editorial Board Member, Jia, Xiaohua, Editorial Board Member, Zomaya, Albert Y., Editorial Board Member, and Brooks, Anthony L., editor

Published
2024
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3. AI Literacy in K-12: A Systematic Literature Review

Author

Casal-Otero, Lorena, Catala, Alejandro, Fernández-Morante, Carmen, Taboada, Maria, Cebreiro, Beatriz, and Barro, Senén

Abstract

The successful irruption of AI-based technology in our daily lives has led to a growing educational, social, and political interest in training citizens in AI. Education systems now need to train students at the K-12 level to live in a society where they must interact with AI. Thus, AI literacy is a pedagogical and cognitive challenge at the K-12 level. This study aimed to understand how AI is being integrated into K-12 education worldwide. We conducted a search process following the systematic literature review method using Scopus. 179 documents were reviewed, and two broad groups of AI literacy approaches were identified, namely learning experience and theoretical perspective. The first group covered experiences in learning technical, conceptual and applied skills in a particular domain of interest. The second group revealed that significant efforts are being made to design models that frame AI literacy proposals. There were hardly any experiences that assessed whether students understood AI concepts after the learning experience. Little attention has been paid to the undesirable consequences of an indiscriminate and insufficiently thought-out application of AI. A competency framework is required to guide the didactic proposals designed by educational institutions and define a curriculum reflecting the sequence and academic continuity, which should be modular, personalized and adjusted to the conditions of the schools. Finally, AI literacy can be leveraged to enhance the learning of disciplinary core subjects by integrating AI into the teaching process of those subjects, provided the curriculum is co-designed with teachers.

Published
2023
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8. Designing a Smart Toy Interactive Setting for Creating Stories : From Free Play to Story Structure and Reflection Support

Author

ter Stal, Silke, Catala, Alejandro, Theune, Mariët, Reidsma, Dennis, Akan, Ozgur, Editorial Board Member, Bellavista, Paolo, Editorial Board Member, Cao, Jiannong, Editorial Board Member, Coulson, Geoffrey, Editorial Board Member, Dressler, Falko, Editorial Board Member, Ferrari, Domenico, Editorial Board Member, Gerla, Mario, Editorial Board Member, Kobayashi, Hisashi, Editorial Board Member, Palazzo, Sergio, Editorial Board Member, Sahni, Sartaj, Editorial Board Member, Shen, Xuemin (Sherman), Editorial Board Member, Stan, Mircea, Editorial Board Member, Jia, Xiaohua, Editorial Board Member, Zomaya, Albert Y., Editorial Board Member, Brooks, Anthony, editor, and Brooks, Eva Irene, editor

Published
2020
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9. Designing a Playful Robot Application for Second Language Learning

Author

Verhoeven, Gijs, Catala, Alejandro, Theune, Mariët, 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, Brooks, Anthony L., editor, Brooks, Eva, editor, and Sylla, Cristina, editor

Published
2019
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10. Towards Real-Time Automatic Stress Detection for Office Workplaces

Author

Suni Lopez, Franci, Condori-Fernandez, Nelly, Catala, Alejandro, Barbosa, Simone Diniz Junqueira, Series Editor, Filipe, Joaquim, Series Editor, Kotenko, Igor, Series Editor, Washio, Takashi, Series Editor, Yuan, Junsong, Series Editor, Zhou, Lizhu, Series Editor, Ghosh, Ashish, Series Editor, Lossio-Ventura, Juan Antonio, editor, Muñante, Denisse, editor, and Alatrista-Salas, Hugo, editor

Published
2019
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11. Agoras: Towards Collaborative Game-Based Learning Experiences on Surfaces

Author

Catala, Alejandro, Garcia-Sanjuan, Fernando, Pons, Patricia, Jaen, Javier, and Mocholi, Jose A.

Abstract

Children nowadays consume and manage lots of interactive digital software. This makes it more interesting and powerful to use digital technologies and videogames supporting learning experiences. However, in general, current digital proposals lack of in-situ social interaction supporting natural exchange and discussion of ideas in the course of creative learning activities. Moreover, learning activities based on games should put the emphasis on the phase of creating artifacts for the game ecosystem, not on just playing or consuming contents. With the aim of supporting learning activities focused on "playing to create games," this paper presents the implemented middleware to support this process from a technical point of view. The system allows the creation on an interactive tabletop of both single and advanced entities composed of shapes that can be enacted according to physics principles and rule-based behavior to create game ecosystems for learning purposes. (Contains 7 figures and 2 footnotes.) [This paper was funded by the Spanish Ministry of Education. For the complete proceedings, "Proceedings of the International Association for Development of the Information Society (IADIS) International Conference on Cognition and Exploratory Learning in Digital Age (CELDA) (Madrid, Spain, Oct 19-21, 2012)," see ED542606.]

Published
2012

13. Exploring Children’s Use of a Remotely Controlled Surfacebot Character for Storytelling

Author

Catala, Alejandro, Theune, Mariët, Reidsma, Dennis, ter Stal, Silke, Heylen, Dirk, 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, Chisik, Yoram, editor, Holopainen, Jussi, editor, Khaled, Rilla, editor, Luis Silva, José, editor, and Alexandra Silva, Paula, editor

Published
2018
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14. Bringing Together Interactive Digital Storytelling with Tangible Interaction: Challenges and Opportunities

Author

Catala, Alejandro, Theune, Mariët, Sylla, Cristina, Ribeiro, Pedro, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Nunes, Nuno, editor, Oakley, Ian, editor, and Nisi, Valentina, editor

Published
2017
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17. The Dawn of the Human-Machine Era: A forecast of new and emerging language technologies

Author

Sayers, Dave, primary, Sousa-Silva, Rui, additional, Höhn, Sviatlana, additional, Ahmedi, Lule, additional, Allkivi-Metsoja, Kais, additional, Anastasiou, Dimitra, additional, Beňuš, Štefan, additional, Bowker, Lynne, additional, Bytyçi, Eliot, additional, Catala, Alejandro, additional, Çepani, Anila, additional, Chacón-Beltrán, Rubén, additional, Dadi, Sami, additional, Dalipi, Fisnik, additional, Despotovic, Vladimir, additional, Doczekalska, Agnieszka, additional, Drude, Sebastian, additional, Fort, Karën, additional, Fuchs, Robert, additional, Galinski, Christian, additional, Gobbo, Federico, additional, Gungor, Tunga, additional, Guo, Siwen, additional, Höckner, Klaus, additional, Láncos, Petra Lea, additional, Libal, Tomer, additional, Jantunen, Tommi, additional, Jones, Dewi, additional, Klimova, Blanka, additional, Korkmaz, Emin Erkan, additional, Maučec, Mirjam Sepesy, additional, Melo, Miguel, additional, Meunier, Fanny, additional, Migge, Bettina, additional, Mititelu, Verginica Barbu, additional, Névéol, Aurélie, additional, Rossi, Arianna, additional, Pareja-Lora, Antonio, additional, Sanchez-Stockhammer, C., additional, Şahin, Aysel, additional, Soltan, Angela, additional, Soria, Claudia, additional, Shaikh, Sarang, additional, Turchi, Marco, additional, and Yildirim Yayilgan, Sule, additional

Published
2021
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18. Information-seeking dialogue for explainable artificial intelligence: Modelling and analytics.

Author

Stepin, Ilia, Budzynska, Katarzyna, Catala, Alejandro, Pereira-Fariña, Martín, and Alonso-Moral, Jose M.

Abstract

Explainable artificial intelligence has become a vitally important research field aiming, among other tasks, to justify predictions made by intelligent classifiers automatically learned from data. Importantly, efficiency of automated explanations may be undermined if the end user does not have sufficient domain knowledge or lacks information about the data used for training. To address the issue of effective explanation communication, we propose a novel information-seeking explanatory dialogue game following the most recent requirements to automatically generated explanations. Further, we generalise our dialogue model in form of an explanatory dialogue grammar which makes it applicable to interpretable rule-based classifiers that are enhanced with the capability to provide textual explanations. Finally, we carry out an exploratory user study to validate the corresponding dialogue protocol and analyse the experimental results using insights from process mining and argument analytics. A high number of requests for alternative explanations testifies the need for ensuring diversity in the context of automated explanations. [ABSTRACT FROM AUTHOR]

Published
2024
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22. Around-Device Interactions: A Usability Study of Frame Markers in Acquisition Tasks

Author

Garcia-Sanjuan, Fernando, Catala, Alejandro, Fitzpatrick, Geraldine, Jaen, Javier, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Abascal, Julio, editor, Barbosa, Simone, editor, Fetter, Mirko, editor, Gross, Tom, editor, Palanque, Philippe, editor, and Winckler, Marco, editor

Published
2015
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24. AI literacy in K‑12: a systematic literature review

Author

Universidade de Santiago de Compostela. Departamento de Electrónica e Computación, Universidade de Santiago de Compostela. Departamento de Pedagoxía e Didáctica, Casal Otero, Lorena, Catala, Alejandro, Fernández Morante, M.Carmen, Taboada Iglesias, María Jesús, Cebreiro López, Beatriz, Barro, Senén, Universidade de Santiago de Compostela. Departamento de Electrónica e Computación, Universidade de Santiago de Compostela. Departamento de Pedagoxía e Didáctica, Casal Otero, Lorena, Catala, Alejandro, Fernández Morante, M.Carmen, Taboada Iglesias, María Jesús, Cebreiro López, Beatriz, and Barro, Senén

Abstract

The successful irruption of AI-based technology in our daily lives has led to a growing educational, social, and political interest in training citizens in AI. Education systems now need to train students at the K-12 level to live in a society where they must interact with AI. Thus, AI literacy is a pedagogical and cognitive challenge at the K-12 level. This study aimed to understand how AI is being integrated into K-12 education worldwide. We conducted a search process following the systematic literature review method using Scopus. 179 documents were reviewed, and two broad groups of AI literacy approaches were identified, namely learning experience and theoretical perspective. The first group covered experiences in learning technical, conceptual and applied skills in a particular domain of interest. The second group revealed that significant efforts are being made to design models that frame AI literacy proposals. There were hardly any experiences that assessed whether students understood AI concepts after the learning experience. Little attention has been paid to the undesirable consequences of an indiscriminate and insufficiently thought-out application of AI. A competency framework is required to guide the didactic proposals designed by educational institutions and define a curriculum reflecting the sequence and academic continuity, which should be modular, personalized and adjusted to the conditions of the schools. Finally, AI literacy can be leveraged to enhance the learning of disciplinary core subjects by integrating AI into the teaching process of those subjects, provided the curriculum is co-designed with teachers

Published
2023

27. Operationalizing Explainable Artificial Intelligence in the European Union Regulatory Ecosystem

Author

Nannini, Luca, Alonso-Moral, Jose Maria, Catala, Alejandro, Lama, Manuel, and Barro, Senen

Abstract

The European Union’s (EU’s) regulatory ecosystem presents challenges with balancing legal and sociotechnical drivers for explainable artificial intelligence (XAI) systems. Core tensions emerge on dimensions of oversight, user needs, and litigation. This article maps provisions on algorithmic transparency and explainability across major EU data, AI, and platform policies using qualitative analysis. We characterize the involved stakeholders and organizational implementation targets. Constraints become visible between useful transparency for accountability and confidentiality protections. Through an AI hiring system example, we explore the complications with operationalizing explainability. Customization is required to satisfy explainability desires within confidentiality and proportionality bounds. The findings advise technologists on prudent XAI technique selection given multidimensional tensions. The outcomes recommend that policy makers balance worthy transparency goals with cohesive legislation, enabling equitable dispute resolution.

Published
2024
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29. TSACO: Extending a Context-Aware Recommendation System with Allen Temporal Operators

Author

Mocholi, Jose A., Jaen, Javier, Krynicki, Kamil, Catala, Alejandro, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Bravo, José, editor, López-de-Ipiña, Diego, editor, and Moya, Francisco, editor

Published
2012
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37. Enseñando a diseñar sistemas software para la sostenibilidad: una experiencia docente

Author

Condori-Fernandez, Nelly, Herrmann, Andrea, Catala, Alejandro, Suni, Franci, Condori-Fernandez, Nelly, Herrmann, Andrea, Catala, Alejandro, and Suni, Franci

Abstract

Hoy en día, la sostenibilidad se constituye en uno de los motores claves de la innovación. Así mismo, las empresas de software vienen también demandando nuevas habilidades para continuar su presencia en un mercado muy competitivo. Con el fin de poder atender dichas demandas, una escuela de invierno en modo online fue organizada para complementar la formación brindada en las universidades a los futuros profesionales de ingeniería informática. La escuela de invierno contó con la participación de profesores invitados que cubren 3 módulos: creatividad y software sostenible, diseño de sistemas software persuasivos, e interfaces de usuario interactivas e inteligentes. Los estudiantes trabajaron en equipos centrados en la solución de problemas de un caso real. En el presente artículo se describe el contenido y planificación de cada uno de estos módulos. Además un conjunto de lecciones aprendidas, que son el resultado de analizar los entregables proveídos por los estudiantes y respuestas a un cuestionario de calidad de los cursos impartidos, son también discutidas., Today, sustainability is one of the key drivers of innovation. Likewise, software companies are also demanding new skills to continue their presence in a very competitive market. In order to be able to meet these demands, an online winter school was organized to complement the training provided in universities to future computer engineering professionals. The invited professors at the winter school covered 3 modules: Creativity and sustainable software, design of persuasive software systems, and interactive and intelligent user interfaces. The students worked in teams focused on solving problems of a real case. This article describes the content and planning of each of these modules. In addition, a set of lessons learned, which are the result of analyzing the deliverables provided by the students and responses to a quality questionnaire of the courses taught, are also discussed.

Published
2022

46. The Dawn of the Human-Machine Era : A forecast of new and emerging language technologies

Author

Sayers, Dave, Sousa-Silva, Rui, Höhn, Sviatlana, Ahmedi, Lule, Allkivi-Metsoja, Kais, Anastasiou, Dimitra, Beňuš, Štefan, Bessa, Maximino, Bowker, Lynne, Bytyçi, Eliot, Cabral, Luciana, Catala, Alejandro, Çepani, Anila, Coler, Matt, Chacón-Beltrán, Rubén, Dadi, Sami, Dalipi, Fisnik, Despotovic, Vladimir, Doczekalska, Agnieszka, Drude, Sebastian, Fort, Karën, Fuchs, Robert, Galinski, Christian, Gobbo, Federico, Gungor, Tunga, Guo, Siwen, Höckner, Klaus, Jantunen, Tommi, Jones, Dewi, Kernerman,, Ilan, Klimova, Blanka, Korkmaz, Emin Erkan, Láncos, Petra Lea, Libal, Tomer, Liebeskind, Chaya, Maučec, Mirjam Sepesy, Melo, Miguel, Meunier, Fanny, Migge, Bettina, Mititelu, Verginica Barbu, Névéol, Aurélie, Pareja-Lora, Antonio, Prys, Cynog, Rossi, Arianna, Rousi, Rebekah, Şahin Kızıl, Aysel, Sanchez-Stockhammer, C., Shaikh, Sarang, Soltan, Angela, Soria, Claudia, Turchi, Marco, Yildirim Yayilgan, Sule, Sayers, Dave, Sousa-Silva, Rui, Höhn, Sviatlana, Ahmedi, Lule, Allkivi-Metsoja, Kais, Anastasiou, Dimitra, Beňuš, Štefan, Bessa, Maximino, Bowker, Lynne, Bytyçi, Eliot, Cabral, Luciana, Catala, Alejandro, Çepani, Anila, Coler, Matt, Chacón-Beltrán, Rubén, Dadi, Sami, Dalipi, Fisnik, Despotovic, Vladimir, Doczekalska, Agnieszka, Drude, Sebastian, Fort, Karën, Fuchs, Robert, Galinski, Christian, Gobbo, Federico, Gungor, Tunga, Guo, Siwen, Höckner, Klaus, Jantunen, Tommi, Jones, Dewi, Kernerman,, Ilan, Klimova, Blanka, Korkmaz, Emin Erkan, Láncos, Petra Lea, Libal, Tomer, Liebeskind, Chaya, Maučec, Mirjam Sepesy, Melo, Miguel, Meunier, Fanny, Migge, Bettina, Mititelu, Verginica Barbu, Névéol, Aurélie, Pareja-Lora, Antonio, Prys, Cynog, Rossi, Arianna, Rousi, Rebekah, Şahin Kızıl, Aysel, Sanchez-Stockhammer, C., Shaikh, Sarang, Soltan, Angela, Soria, Claudia, Turchi, Marco, and Yildirim Yayilgan, Sule

Abstract

Language in the Human-Machine Era (LITHME)

Published
2021
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47. When to explain: Identifying explanation triggers in human-agent interaction

Author

Krause, Lea, Vossen, Piek, Alonso, Jose M., Catala, Alejandro, Language, and Network Institute

Subjects
SDG 16 - Peace, Justice and Strong Institutions
Abstract

With more agents deployed than ever, users need to be able to interact and cooperate with them in an effective and comfortable manner. Explanations have been shown to increase the understanding and trust of a user in human-agent interaction. There have been numerous studies investigating this effect, but they rely on the user explicitly requesting an explanation. We propose a first overview of when an explanation should be triggered and show that there are many instances that would be missed if the agent solely relies on direct questions. For this, we differentiate between direct triggers such as commands or questions and introduce indirect triggers like confusion or uncertainty detection.

Published
2020

48. Rewrite or not rewrite ml- ased algorithm selection for datalog query answering on knowledge graphs

Author

Joshi, Unmesh, Jacobs, Ceriel, Urbani, Jacopo, De Giacomo, Giuseppe, Catala, Alejandro, Dilkina, Bistra, Milano, Michela, Barro, Senen, Bugarin, Alberto, Lang, Jerome, Computer Systems, Network Institute, and High Performance Distributed Computing

Subjects
InformationSystems_DATABASEMANAGEMENT
Abstract

Query-driven reasoning techniques with Datalog rules, like Magic Sets (MS), are ideal for implementing query answering on Knowledge Graphs (KGs). For some queries, executing a rewriting procedure like MS is the best choice, but for others a non-rewriting procedure like Query-subquery (QSQ) can be faster. Choosing beforehand which procedure should be used is not trivial and mistakes can be costly. To address this problem, we describe a first-of-its-kind method that builds a Machine Learning (ML) model to predict whether a query should be answered with MS or with QSQ. Experiments on several well-known KGs show that our method can return accurate predictions, and this leads to a significant reduction of the response time of query answering.

Published
2020

49. Towards lossless binary convolutional neural networks using piecewise approximation

Author

Zhu, B., Al-Ars, Z., Pan, W., De Giacomo, Giuseppe, Catala, Alejandro, Dilkina, Bistra, Milano, Michela, Barro, Senen, Bugarin, Alberto, and Lang, Jerome

Abstract

Binary Convolutional Neural Networks (CNNs) can significantly reduce the number of arithmetic operations and the size of memory storage, which makes the deployment of CNNs on mobile or embedded systems more promising. However, the accuracy degradation of single and multiple binary CNNs is unacceptable for modern architectures and large scale datasets like ImageNet. In this paper, we proposed a Piecewise Approximation (PA) scheme for multiple binary CNNs which lessens accuracy loss by approximating full precision weights and activations efficiently, and maintains parallelism of bitwise operations to guarantee efficiency. Unlike previous approaches, the proposed PA scheme segments piece-wisely the full precision weights and activations, and approximates each piece with a scaling coefficient. Our implementation on ResNet with different depths on ImageNet can reduce both Top-1 and Top-5 classification accuracy gap compared with full precision to approximately 1.0%. Benefited from the binarization of the downsampling layer, our proposed PA-ResNet50 requires less memory usage and two times Flops than single binary CNNs with 4 weights and 5 activations bases. The PA scheme can also generalize to other architectures like DenseNet and MobileNet with similar approximation power as ResNet which is promising for other tasks using binary convolutions. The code and pretrained models will be publicly available.

Published
2020

50. An ideal team is more than a team of ideal agents

Author

Kurtan, Can, Yolum, Pinar, Dastani, Mehdi, De Giacomo, Giuseppe, Catala, Alejandro, Dilkina, Bistra, Milano, Michela, Barro, Senén, Bugarín, Alberto, Lang, Jérôme, Sub Intelligent Systems, and Intelligent Systems

Subjects
Artificial Intelligence
Abstract

The problem of building a team to perform a complex task is often more than an optimal assignment of subtasks to agents based on individual performances. Subtasks may have subtle dependencies and relations that affect the overall performance of the formed team. This paper investigates the dependencies between subtasks and introduces some desired qualities of teams, such as preserving privacy or fairness. It proposes algorithms to analyze and build teams by taking into account the dependencies of assigned subtasks and agent performances. The performance of the algorithms are evaluated experimentally based on a multiagent system that is developed to answer complex queries. We show that by improving an initial team iteratively, the algorithm obtains teams with higher performance.

Published
2020

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