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17 results on '"Bolock, Alia El"'

1. CARE: A Framework for Collecting and Annotating Emotions of Code-Switched Words

Author

Bolock, Alia el, Abouras, Mohamed, Sabty, Caroline, Abdennadher, Slim, Herbert, Cornelia, Ghosh, Ashish, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, González-Briones, Alfonso, editor, Julian Inglada, Vicente, editor, El Bolock, Alia, editor, Marco-Detchart, Cedric, editor, Jordan, Jaume, editor, Mason, Karl, editor, Lopes, Fernando, editor, and Sharaf, Nada, editor

Published
2025
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2. The Who in Code-Switching: A Case Study for Predicting Egyptian Arabic-English Code-Switching Levels based on Character Profiles

Author

Hamed, Injy, Bolock, Alia El, Herbert, Cornelia, Abdennadher, Slim, and Vu, Ngoc Thang

Subjects
Computer Science - Computation and Language
Abstract

Code-switching (CS) is a common linguistic phenomenon exhibited by multilingual individuals, where they tend to alternate between languages within one single conversation. CS is a complex phenomenon that not only encompasses linguistic challenges, but also contains a great deal of complexity in terms of its dynamic behaviour across speakers. Given that the factors giving rise to CS vary from one country to the other, as well as from one person to the other, CS is found to be a speaker-dependant behaviour, where the frequency by which the foreign language is embedded differs across speakers. While several researchers have looked into predicting CS behaviour from a linguistic point of view, research is still lacking in the task of predicting user CS behaviour from sociological and psychological perspectives. We provide an empirical user study, where we investigate the correlations between users' CS levels and character traits. We conduct interviews with bilinguals and gather information on their profiles, including their demographics, personality traits, and traveling experiences. We then use machine learning (ML) to predict users' CS levels based on their profiles, where we identify the main influential factors in the modeling process. We experiment with both classification as well as regression tasks. Our results show that the CS behaviour is affected by the relation between speakers, travel experiences as well as Neuroticism and Extraversion personality traits., Comment: To be published in the International Journal of Asian Language Processing. arXiv admin note: substantial text overlap with arXiv:2112.06462

Published
2022

3. Predicting User Code-Switching Level from Sociological and Psychological Profiles

Author

Hamed, Injy, Bolock, Alia El, Rizk, Nader, Herbert, Cornelia, Abdennadher, Slim, and Vu, Ngoc Thang

Subjects
Computer Science - Computation and Language
Abstract

Multilingual speakers tend to alternate between languages within a conversation, a phenomenon referred to as "code-switching" (CS). CS is a complex phenomenon that not only encompasses linguistic challenges, but also contains a great deal of complexity in terms of its dynamic behaviour across speakers. This dynamic behaviour has been studied by sociologists and psychologists, identifying factors affecting CS. In this paper, we provide an empirical user study on Arabic-English CS, where we show the correlation between users' CS frequency and character traits. We use machine learning (ML) to validate the findings, informing and confirming existing theories. The predictive models were able to predict users' CS frequency with an accuracy higher than 55%, where travel experiences and personality traits played the biggest role in the modeling process., Comment: To be published in the proceedings of the International Conference on Asian Language Information Processing

Published
2021

4. Character-Based Habit Recommender System

Author

Eldeswky, Kariman, Elazab, Fatma, Bolock, Alia El, Abdennadher, Slim, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Durães, Dalila, editor, González-Briones, Alfonso, editor, Lujak, Marin, editor, El Bolock, Alia, editor, and Carneiro, João, editor

Published
2023
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5. Multi-modal Explainable Music Recommendation Based on the Relations Between Character and Music Listening Behavior

Author

Elazab, Fatma, Bolock, Alia El, Herbert, Cornelia, Abdennadher, Slim, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Durães, Dalila, editor, González-Briones, Alfonso, editor, Lujak, Marin, editor, El Bolock, Alia, editor, and Carneiro, João, editor

Published
2023
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6. A Framework for Supporting Well-being using the Character Computing Ontology - Anxiety and Sleep Quality during COVID-19

Author

Bolock Alia El, Abdennadher Slim, and Herbert Cornelia

Subjects
character computing, ontology, well-being, sleep, anxiety, covid-19, Psychology, BF1-990
Abstract

The COVID-19 pandemic is affecting human behavior, increasing the demand for the cooperation between psychologists and computer scientists to develop technology solutions that can help people in order to promote well-being and behavior change. According to the conceptual Character-Behavior-Situation (CBS) triad of Character Computing, behavior is driven by an individual’s character (trait and state markers) and the situation. In previous work, a computational ontology for Character Computing (CCOnto) has been introduced. The ontology can be extended with domain-specific knowledge for developing applications for inferring certain human behaviors to be leveraged for different purposes. In this paper, we present a framework for developing applications for dealing with changes in well-being during the COVID-19 pandemic. The framework can be used by psychology domain experts and application developers. The proposed model allows the input of heuristic rules as well as data-based rule extraction for inferring behavior. In this paper, we present how CCOnto is extended with components of physical and mental well-being and how the framework uses the extended domain ontologies in applications for evaluating sleep habits, anxiety, and depression predisposition during the COVID-19 pandemic based on user-input data.

Published
2022
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7. Anxiety Detection During COVID-19 Using the Character Computing Ontology

Author

Elaraby, Nada, Bolock, Alia El, Herbert, Cornelia, Abdennadher, Slim, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Kotenko, Igor, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Barbosa, Simone Diniz Junqueira, Editorial Board Member, Chen, Phoebe, Editorial Board Member, Cuzzocrea, Alfredo, Editorial Board Member, Du, Xiaoyong, Editorial Board Member, Kara, Orhun, Editorial Board Member, Liu, Ting, Editorial Board Member, Sivalingam, Krishna M., Editorial Board Member, Slezak, Dominik, Editorial Board Member, Washio, Takashi, Editorial Board Member, Yang, Xiaokang, Editorial Board Member, Yuan, Junsong, Editorial Board Member, De La Prieta, Fernando, editor, El Bolock, Alia, editor, Durães, Dalila, editor, Carneiro, João, editor, Lopes, Fernando, editor, and Julian, Vicente, editor

Published
2021
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8. Towards a Character-based Meta Recommender for Movies

Author

Bolock, Alia El, Kady, Ahmed El, Herbert, Cornelia, Abdennadher, Slim, Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Panigrahi, Bijaya Ketan, Series Editor, Chakraborty, Samarjit, Series Editor, Chen, Jiming, Series Editor, Chen, Shanben, Series Editor, Chen, Tan Kay, Series Editor, Dillmann, Rüdiger, Series Editor, Duan, Haibin, Series Editor, Ferrari, Gianluigi, Series Editor, Ferre, Manuel, Series Editor, Hirche, Sandra, Series Editor, Jabbari, Faryar, Series Editor, Jia, Limin, Series Editor, Kacprzyk, Janusz, Series Editor, Khamis, Alaa, Series Editor, Kroeger, Torsten, Series Editor, Liang, Qilian, Series Editor, Martin, Ferran, Series Editor, Ming, Tan Cher, Series Editor, Minker, Wolfgang, Series Editor, Misra, Pradeep, Series Editor, Möller, Sebastian, Series Editor, Mukhopadhyay, Subhas, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Pascucci, Federica, Series Editor, Qin, Yong, Series Editor, Seng, Gan Woon, Series Editor, Speidel, Joachim, Series Editor, Veiga, Germano, Series Editor, Wu, Haitao, Series Editor, Zhang, Junjie James, Series Editor, Alfred, Rayner, editor, Lim, Yuto, editor, Haviluddin, Haviluddin, editor, and On, Chin Kim, editor

Published
2020
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9. Detecting Impulsive Behavior Through Agent-Based Games

Author

Bolock, Alia El, Ghonaim, Ahmed, Herbert, Cornelia, Abdennadher, Slim, Kacprzyk, Janusz, Series Editor, Pal, Nikhil R., Advisory Editor, Bello Perez, Rafael, Advisory Editor, Corchado, Emilio S., Advisory Editor, Hagras, Hani, Advisory Editor, Kóczy, László T., Advisory Editor, Kreinovich, Vladik, Advisory Editor, Lin, Chin-Teng, Advisory Editor, Lu, Jie, Advisory Editor, Melin, Patricia, Advisory Editor, Nedjah, Nadia, Advisory Editor, Nguyen, Ngoc Thanh, Advisory Editor, Wang, Jun, Advisory Editor, Ahram, Tareq, editor, Karwowski, Waldemar, editor, Vergnano, Alberto, editor, Leali, Francesco, editor, and Taiar, Redha, editor

Published
2020
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11. An ontology-based framework for psychological monitoring in education during the COVID-19 pandemic

Author

Bolock, Alia El, Abdennadher, Slim, and Herbert, Cornelia

Subjects
education, Human behavior, Emotions, emotion, COVID-19, Ontologie, Psychische Gesundheit, Verhalten, Education, personality, character computing, Psychology, Mental health, ddc:610, psychological ontologies, COVID 19, mental health, Original Research, Personality
Abstract

Background Especially in the current crisis of the COVID-19 pandemic and the lockdown it entailed, technology became crucial. Machines need to be able to interpret and represent human behavior, to improve human interaction with technology. This holds for all domains but even more so for the domain of student behavior in relation to education and psychological well-being. Methods This work presents the theoretical framework of a psychologically driven computing ontology, CCOnto, describing situation-based human behavior in relation to psychological states and traits. In this manuscript, we use and apply CCOnto as a theoretical and formal description system to categorize psychological factors that influence student behavior during the COVID-19 situation. By doing so, we show the added value of ontologies, i.e., their ability to automatically organize information from unstructured human data by identifying and categorizing relevant psychological concepts. Results The already existing CCOnto was modified to automatically categorize university students’ state and trait markers related to different aspects of student behavior, including learning, worrying, health, and socially based on psychological theorizing and psychological data conceptualization. Discussion The paper discusses the potential advantages of using ontologies for describing and modeling psychological research questions. The handling of dataset completion, unification, and its explanation by means of Artificial Intelligence and Machine Learning models is also discussed.

Published
2021

13. Highlights in Practical Applications of Agents, Multi-Agent Systems, and Trust-worthiness.: The {PAAMS} Collection - International Workshops of {PAAMS} 2020

Author

de La Prieta, Fernando, Mathieu, Philippe, Arango, Jaime Andrés Rinco, Bolock, Alia El, Val, Elena Del, Prunera, Jaume Jordan, Carneiro, Joao, Fuentes, Rubén, Lopes, O, Julian, Vicente, Université de Lille, Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 (CRIStAL), Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS), Systèmes Multi-Agents et Comportements (SMAC), and Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS)

Subjects
[INFO.INFO-MA]Computer Science [cs]/Multiagent Systems [cs.MA], [INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation, ComputingMilieux_MISCELLANEOUS, [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]
Abstract

International audience

Published
2020
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15. AppGen

Author

Alaa, Mostafa, primary, Bolock, Alia El, additional, Abas, Mostafa, additional, Abdennadher, Slim, additional, and Herbert, Cornelia, additional

Published
2020
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16. Ethical Concerns and Opportunities in Binding Intelligent Systems and Blockchain Technology

Author

Calvaresi, Davide, Piguet, Jean-Gabriel, Calbimonte, Jean-Paul, Kampik, Timotheus, Najjar, Amro, Gadek, Guillaume, Schumacher, Michael, Prieta, Fernando De La, Mathieu, Philippe, Arango, Jaime Andrés Rincón, Bolock, Alia El, Val, Elena Del, Prunera, Jaume Jordán, Carneiro, João, Fuentes, Rubén, Lopes, Fernando, and Julián, Vicente

Subjects
Computer science [C05] [Engineering, computing & technology], Sciences informatiques [C05] [Ingénierie, informatique & technologie]
Published
2020

17. Character computing

Author

Bolock, Alia El, primary, Salah, Jailan, additional, Abdennadher, Slim, additional, and Abdelrahman, Yomna, additional

Published
2017
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