Outputs (4)

ALTCAI: Enabling the Use of Embodied Conversational Agents to Deliver Informal Health Advice during Wizard of Oz Studies (2021)
Presentation / Conference Contribution
Galvez Trigo, M. J., Porcheron, M., Egede, J., Fischer, J. E., Hazzard, A., Greenhalgh, C., Bodiaj, E., & Valstar, M. (2021, July). ALTCAI: Enabling the Use of Embodied Conversational Agents to Deliver Informal Health Advice during Wizard of Oz Studies. Presented at CUI 2021 : Third Conference on Conversational User Interfaces, Bilbao (online), Spain

We present ALTCAI, a Wizard of Oz Embodied Conversational Agent that has been developed to explore the use of interactive agents as an effective and engaging tool for delivering health and well-being advice to expectant and nursing mothers in Nigeria... Read More about ALTCAI: Enabling the Use of Embodied Conversational Agents to Deliver Informal Health Advice during Wizard of Oz Studies.

Teachers’ Perspectives on the Adoption of an Adaptive Learning System Based on Multimodal Affect Recognition for Students with Learning Disabilities and Autism (2021)
Presentation / Conference Contribution
Standen, P. J., Brown, D. J., Kwiatkowska, G. M., Belmonte, M. K., Galvez Trigo, M. J., Boulton, H., Burton, A., Hallewell, M. J., Shopland, N., Blanco Gonzalez, M. A., Milli, E., Cobello, S., Mazzucato, A., & Traversi, M. (2021, July). Teachers’ Perspectives on the Adoption of an Adaptive Learning System Based on Multimodal Affect Recognition for Students with Learning Disabilities and Autism. Presented at International Conference on Adaptive Instructional Systems (AIS 2021), Virtual Event

Adoption of e-learning for those with special needs lags that for mainstream learners. Not much is known about barriers and facilitators that drive this disparity. The present study used focus groups and interviews to collect the views of 21 teachers... Read More about Teachers’ Perspectives on the Adoption of an Adaptive Learning System Based on Multimodal Affect Recognition for Students with Learning Disabilities and Autism.

Improving Uncertainty Estimation With Semi-supervised Deep Learning for COVID-19 Detection Using Chest X-ray Images (2021)
Journal Article
Calderon-Ramirez, S., Yang, S., Moemeni, A., Colreavy-Donnelly, S., Elizondo, D. A., Oala, L., Rodríguez-Capitán, J., Jiménez-Navarro, M., López-Rubio, E., & Molina-Cabello, M. A. (2021). Improving Uncertainty Estimation With Semi-supervised Deep Learning for COVID-19 Detection Using Chest X-ray Images. IEEE Access, 9, 85442 - 85454. https://doi.org/10.1109/ACCESS.2021.3085418

In this work we implement a COVID-19 infection detection system based on chest Xray images with uncertainty estimation. Uncertainty estimation is vital for safe usage of computer aided diagnosis tools in medical applications. Model estimations with h... Read More about Improving Uncertainty Estimation With Semi-supervised Deep Learning for COVID-19 Detection Using Chest X-ray Images.

From AI, creativity and music to IoT, HCI, musical instrument design and audio interaction: a journey in sound (2021)
Journal Article
(2021). From AI, creativity and music to IoT, HCI, musical instrument design and audio interaction: a journey in sound. Personal and Ubiquitous Computing, 25(4), 617-620. https://doi.org/10.1007/s00779-021-01554-z

This introduction brings together a range of research, a majority of which was presented at the Audio Mostly conference hosted at the University of Nottingham. The conference brings together a range of researchers, industry, designers and educators t... Read More about From AI, creativity and music to IoT, HCI, musical instrument design and audio interaction: a journey in sound.