Outputs (388)

Responsible AI governance: A response to UN interim report on governing AI for humanity (2024)
Report
Bencomo, N., Kiden, S., Deshmukh, J., Williams, J., Ramchurn, G., Stein, S., Yazdanpanah, V., Stahl, B., Townsend, B., Maple, C., Vincent, C., Sampson, F., Gilbert, G., Ross, J., Martinez del Rincon, J., Lisinska, J., O’Shea, K., Da Costa Abreu, M., Deb, O., Winter, P., …Iniesta, R. (2024). Responsible AI governance: A response to UN interim report on governing AI for humanity. United Nations

A response to UN interim report on governing AI for humanity

Decision Making for Self-adaptation based on Partially Observable Satisfaction of Non-Functional Requirements (2024)
Journal Article
Garcia, L., Samin, H., & Bencomo, N. (2024). Decision Making for Self-adaptation based on Partially Observable Satisfaction of Non-Functional Requirements. ACM Transactions on Autonomous and Adaptive Systems, 19(2), 1-44. https://doi.org/10.1145/3643889

Approaches that support the decision-making of self-adaptive and autonomous systems (SAS) often consider an idealized situation where (i) the system’s state is treated as fully observable by the monitoring infrastructure, and (ii) adaptation actions... Read More about Decision Making for Self-adaptation based on Partially Observable Satisfaction of Non-Functional Requirements.

Innovative haptic-based system for upper limb rehabilitation in visually impaired individuals: a multilayer approach (2023)
Journal Article
Albusac, J., Herrera, V., Schez-Sobrino, S., Grande, R., Vallejo, D., & Monekosso, D. (2024). Innovative haptic-based system for upper limb rehabilitation in visually impaired individuals: a multilayer approach. Multimedia Tools and Applications, 83(21), 60537-60563. https://doi.org/10.1007/s11042-023-17892-4

The integration of technology in healthcare has revolutionized physical rehabilitation of patients affected by neurological conditions, such as spinal cord injuries and strokes. However, a significant gap remains in addressing the needs of the visual... Read More about Innovative haptic-based system for upper limb rehabilitation in visually impaired individuals: a multilayer approach.

Using deep learning to analyze the psychological effects of COVID-19 (2023)
Journal Article
Almeqren, M. A., Almegren, M., Alhayan, F., Cristea, A. I., & Pennington, D. R. (2023). Using deep learning to analyze the psychological effects of COVID-19. Frontiers in Psychology, 14, Article 962854. https://doi.org/10.3389/fpsyg.2023.962854

Problem: Sentiment Analysis (SA) automates the classification of the sentiment of people’s attitudes, feelings or reviews employing natural language processing (NLP) and computational approaches. Deep learning has recently demonstrated remarkable suc... Read More about Using deep learning to analyze the psychological effects of COVID-19.

The engage taxonomy: SDT-based measurable engagement indicators for MOOCs and their evaluation (2023)
Journal Article
Cristea, A. I., Alamri, A., Alshehri, M., Dwan Pereira, F., Toda, A. M., Harada T. de Oliveira, E., & Stewart, C. (2024). The engage taxonomy: SDT-based measurable engagement indicators for MOOCs and their evaluation. User Modeling and User-Adapted Interaction, 34(2), 323-374. https://doi.org/10.1007/s11257-023-09374-x

Massive Online Open Course (MOOC) platforms are considered a distinctive way to deliver a modern educational experience, open to a worldwide public. However, student engagement in MOOCs is a less explored area, although it is known that MOOCs suffer... Read More about The engage taxonomy: SDT-based measurable engagement indicators for MOOCs and their evaluation.

An Interactional Account of Empathy in Human-Machine Communication (2023)
Journal Article
Concannon, S., Roberts, I., & Tomalin, M. (2023). An Interactional Account of Empathy in Human-Machine Communication. Human-machine communication journal, 6, 87-116. https://doi.org/10.30658/hmc.6.6

Efforts to develop empathetic agents, or systems capable of responding appropriately to emotional content, have increased as the deployment of such systems in socially complex scenarios becomes more commonplace. In the context of human-machine commun... Read More about An Interactional Account of Empathy in Human-Machine Communication.

Deep learning for Crack Detection on Masonry Façades using Limited Data and Transfer Learning (2023)
Journal Article
Katsigiannis, S., Seyedzadeh, S., Agapiou, A., & Ramzan, N. (2023). Deep learning for Crack Detection on Masonry Façades using Limited Data and Transfer Learning. Journal of Building Engineering, 76, Article 107105. https://doi.org/10.1016/j.jobe.2023.107105

Crack detection in masonry façades is a crucial task for ensuring the safety and longevity of buildings. However, traditional methods are often time-consuming, expensive, and labour-intensive. In recent years, deep learning techniques have been appli... Read More about Deep learning for Crack Detection on Masonry Façades using Limited Data and Transfer Learning.

Towards Automatic Tutoring of Custom Student-Stated Math Word Problems (2023)
Presentation / Conference Contribution
Arnau-González, P., Serrano-Mamolar, A., Katsigiannis, S., & Arevalillo-Herráez, M. (2023, July). Towards Automatic Tutoring of Custom Student-Stated Math Word Problems. Presented at International Conference on Artificial Intelligence in Education (AIED), Tokyo, Japan

Math Word Problem (MWP) solving for teaching math with Intelligent Tutoring Systems (ITSs) faces a major limitation: ITSs only supervise pre-registered problems, requiring substantial manual effort to add new ones. ITSs cannot assist with student-gen... Read More about Towards Automatic Tutoring of Custom Student-Stated Math Word Problems.

Toward Automatic Tutoring of Math Word Problems in Intelligent Tutoring Systems (2023)
Journal Article
Arnau-González, P., Serrano-Mamolar, A., Katsigiannis, S., Althobaiti, T., & Arevalillo-Herráez, M. (2023). Toward Automatic Tutoring of Math Word Problems in Intelligent Tutoring Systems. IEEE Access, 11, 67030-67039. https://doi.org/10.1109/access.2023.3290478

Math Word Problem (MWP) solving, which involves solving math problems in natural language, is a prevalent approach employed by Intelligent Tutoring Systems (ITS) for teaching mathematics. However, one major drawback of ITS is the complexity of encodi... Read More about Toward Automatic Tutoring of Math Word Problems in Intelligent Tutoring Systems.

BETTER: An Automatic feedBack systEm for supporTing emoTional spEech tRaining (2023)
Book Chapter
Wynn, A., & Wang, J. (2023). BETTER: An Automatic feedBack systEm for supporTing emoTional spEech tRaining. In Artificial Intelligence in Education. https://doi.org/10.1007/978-3-031-36272-9_66

Language as a latent sequence: Deep latent variable models for semi-supervised paraphrase generation (2023)
Journal Article
Yu, J., Cristea, A. I., Harit, A., Sun, Z., Aduragba, O. T., Shi, L., & Al Moubayed, N. (2023). Language as a latent sequence: Deep latent variable models for semi-supervised paraphrase generation. AI open, 4, 19-32. https://doi.org/10.1016/j.aiopen.2023.05.001

This paper explores deep latent variable models for semi-supervised paraphrase generation, where the missing target pair for unlabelled data is modelled as a latent paraphrase sequence. We present a novel unsupervised model named variational sequence... Read More about Language as a latent sequence: Deep latent variable models for semi-supervised paraphrase generation.

PICA-PICA: Exploring a Customisable Smart STEAM Educational Approach via a Smooth Combination of Programming, Engineering and Art (2023)
Presentation / Conference Contribution
Nagai, T., Klem, S., Kayama, M., Asuke, T., Meccawy, M., Wang, J., Cristea, A. I., Stewart, C. D., & Shi, L. (2023, May). PICA-PICA: Exploring a Customisable Smart STEAM Educational Approach via a Smooth Combination of Programming, Engineering and Art. Presented at 2023 IEEE Global Engineering Education Conference (EDUCON), Kuwait

The STEAM approach in education has been gaining increasing popularity over the last decade. This is due to its potential in enhancing students' learning, when teaching arts and scientific disciplines together. This paper introduces the PICA-PICA con... Read More about PICA-PICA: Exploring a Customisable Smart STEAM Educational Approach via a Smooth Combination of Programming, Engineering and Art.

Tutor In-sight: Guiding and Visualizing Students Attention with Mixed Reality Avatar Presentation Tools (2023)
Presentation / Conference Contribution
Thanyadit, S., Heintz, M., & Law, E. L.-C. (2023, April). Tutor In-sight: Guiding and Visualizing Students Attention with Mixed Reality Avatar Presentation Tools. Presented at CHI '23: CHI Conference on Human Factors in Computing Systems, Hamburg, Germany

Remote conferencing systems are increasingly used to supplement or even replace in-person teaching. However, prevailing conferencing systems restrict the teacher’s representation to a webcam live-stream, hamper the teacher’s use of body-language, and... Read More about Tutor In-sight: Guiding and Visualizing Students Attention with Mixed Reality Avatar Presentation Tools.

Trustworthy Autonomous Systems Through Verifiability (2023)
Journal Article
Mousavi, M. R., Cavalcanti, A., Fisher, M., Dennis, L., Hierons, R., Kaddouh, B., Law, E. L.-C., Richardson, R., Ringert, J. O., Tyukin, I., & Woodcock, J. (2023). Trustworthy Autonomous Systems Through Verifiability. Computer, 56(2), 40-47. https://doi.org/10.1109/mc.2022.3192206

Confronting ethical and social issues related to the genetics of musicality (2023)
Journal Article
Gordon, R. L., Martschenko, D. O., Nayak, S., Niarchou, M., Morrison, M. D., Bell, E., Jacoby, N., & Davis, L. K. (2023). Confronting ethical and social issues related to the genetics of musicality. Annals of the New York Academy of Sciences, 1522(1), https://doi.org/10.1111/nyas.14972

New interdisciplinary research into genetic influences on musicality raises a number of ethical and social issues for future avenues of research and public engagement. The historical intersection of music cognition and eugenics heightens the need to... Read More about Confronting ethical and social issues related to the genetics of musicality.

Exploring Time-Coded Comments on YouTube Music Videos of ‘Top 40’ Pop 2000–20 (2023)
Book Chapter
Bell, E. (2023). Exploring Time-Coded Comments on YouTube Music Videos of ‘Top 40’ Pop 2000–20. In H. Rogers, J. Freitas, & J. F. Porfírio (Eds.), YouTube and Music: Online Culture and Everyday Life (255-276). Bloomsbury. https://doi.org/10.5040/9781501387302.0024

As part of a larger project to understand the way that structural features of the design and implementation of radio technology influences its audiences – calling this the medium’s ‘physiognomy’ – Theodor Adorno opened the mailbags of the radio stati... Read More about Exploring Time-Coded Comments on YouTube Music Videos of ‘Top 40’ Pop 2000–20.

Toward Supporting CS1 Instructors and Learners With Fine-Grained Topic Detection in Online Judges (2023)
Journal Article
Pereira, F. D., Fonseca, S. C., Wiktor, S., Oliveira, D. B., Cristea, A. I., Benedict, A., Fallahian, M., Dorodchi, M., Carvalho, L. S., Mello, R. F., & Oliveira, E. H. (2023). Toward Supporting CS1 Instructors and Learners With Fine-Grained Topic Detection in Online Judges. IEEE Access, 11, https://doi.org/10.1109/access.2023.3247189

Online judges (OJ) are a popular tool to support programming learning. However, one major issue with OJs is that problems are often put together without any associated meta-information that could, for example, be used to help classify problems. This... Read More about Toward Supporting CS1 Instructors and Learners With Fine-Grained Topic Detection in Online Judges.

Improving Health Mention Classification through Emphasising Literal Meanings: a Study Towards Diversity and Generalisation for Public Health Surveillance (2023)
Presentation / Conference Contribution
Aduragba, T. O., Yu, J., Cristea, A. I., & Long, Y. (2023, December). Improving Health Mention Classification through Emphasising Literal Meanings: a Study Towards Diversity and Generalisation for Public Health Surveillance. Presented at TheWebConf2023, Austin, Texas

FFM-SVD: A Novel Approach for Personality-aware Recommender Systems (2023)
Presentation / Conference Contribution
Widdeson, K., & Hadžidedić, S. (2022, December). FFM-SVD: A Novel Approach for Personality-aware Recommender Systems. Presented at 2022 IEEE/ACS 19th International Conference on Computer Systems and Applications (AICCSA), Abu Dhabi, UAE

This paper addresses and evaluates approaches to incorporating personality data into a recommender system. Automatic personality recognition is enabled by the LIWC dictionary. Personality-aware pre-filtering techniques are developed and discussed, wi... Read More about FFM-SVD: A Novel Approach for Personality-aware Recommender Systems.

How Personalization Affects Motivation in Gamified Review Assessments (2023)
Journal Article
Rodrigues, L., Palomino, P. T., Toda, A. M., Klock, A. C., Pessoa, M., Pereira, F. D., Oliveira, E. H., Oliveira, D. F., Cristea, A. I., Gasparini, I., & Isotani, S. (2024). How Personalization Affects Motivation in Gamified Review Assessments. International Journal of Artificial Intelligence in Education, 34(2), 147-184. https://doi.org/10.1007/s40593-022-00326-x

Personalized gamification aims to address shortcomings of the one-size-fits-all (OSFA) approach in improving students’ motivations throughout the learning process. However, studies still focus on personalizing to a single user dimension, ignoring mul... Read More about How Personalization Affects Motivation in Gamified Review Assessments.