All Outputs (2039)

Push-to-See: Learning Non-Prehensile Manipulation to Enhance Instance Segmentation via Deep Q-Learning (2022)
Presentation / Conference Contribution
Serhan, B., Pandya, H., Kucukyilmaz, A., & Neumann, G. (2022). Push-to-See: Learning Non-Prehensile Manipulation to Enhance Instance Segmentation via Deep Q-Learning. In IEEE International Conference on Robotics and Automation (ICRA 2022) (1513-1519). https://doi.org/10.1109/ICRA46639.2022.9811645

Efficient robotic manipulation of objects for sorting and searching often rely upon how well the objects are perceived and the available grasp poses. The challenge arises when the objects are irregular, have similar visual features (e.g., textureless... Read More about Push-to-See: Learning Non-Prehensile Manipulation to Enhance Instance Segmentation via Deep Q-Learning.

Tackling communication and analytical problems in environmental planning: Expert assessment of key definitions and their relationships (2022)
Journal Article
Wallace, K. J., Wagner, C., Pannell, D. J., Kim, M. K., & Rogers, A. A. (2022). Tackling communication and analytical problems in environmental planning: Expert assessment of key definitions and their relationships. Journal of Environmental Management, 317, Article 115352. https://doi.org/10.1016/j.jenvman.2022.115352

Inadequate definition of key terms and their relationships generates significant communication and analytical problems in environmental planning. In this work, we evaluate an ontological framework for environmental planning designed to combat these p... Read More about Tackling communication and analytical problems in environmental planning: Expert assessment of key definitions and their relationships.

Responsible AI, SDGs, and AI Governance in Africa (2022)
Presentation / Conference Contribution
Wakunuma, K., Ogoh, G., Eke, D. O., & Akintoye, S. (2022). Responsible AI, SDGs, and AI Governance in Africa. In 2022 IST-Africa Conference (IST-Africa). https://doi.org/10.23919/IST-Africa56635.2022.9845598

More than ever before, AI is now an area of national strategic importance. This has become quite evident with the proliferation of national AI strategies since the first was launched in Canada in 2017. There is now an ever-growing body of national AI... Read More about Responsible AI, SDGs, and AI Governance in Africa.

Dealing with Distribution Mismatch in Semi-supervised Deep Learning for Covid-19 Detection Using Chest X-ray Images: A Novel Approach Using Feature Densities (2022)
Journal Article
Calderon-Ramirez, S., Yang, S., Elizondo, D., & Moemeni, A. (2022). Dealing with Distribution Mismatch in Semi-supervised Deep Learning for Covid-19 Detection Using Chest X-ray Images: A Novel Approach Using Feature Densities. Applied Soft Computing, 123, Article 108983. https://doi.org/10.1016/j.asoc.2022.108983

In the context of the global coronavirus pandemic, different deep learning solutions for infected subject detection using chest X-ray images have been proposed. However, deep learning models usually need large labelled datasets to be effective. Semi-... Read More about Dealing with Distribution Mismatch in Semi-supervised Deep Learning for Covid-19 Detection Using Chest X-ray Images: A Novel Approach Using Feature Densities.

Modelling the emergence of cities and urban patterning using coupled integro-differential equations (2022)
Journal Article
Whiteley, T. D., Avitabile, D., Siebers, P. O., Robinson, D., & Owen, M. R. (2022). Modelling the emergence of cities and urban patterning using coupled integro-differential equations. Journal of the Royal Society, Interface, 19(190), Article 20220176. https://doi.org/10.1098/rsif.2022.0176

Human residential population distributions show patterns of higher density clustering around local services such as shops and places of employment, displaying characteristic length scales; Fourier transforms and spatial autocorrelation show the lengt... Read More about Modelling the emergence of cities and urban patterning using coupled integro-differential equations.

A Study on the Effects of Cognitive Overloading and Distractions on Human Movement During Robot-Assisted Dressing (2022)
Journal Article
Camilleri, A., Dogramadzi, S., & Caleb-Solly, P. (2022). A Study on the Effects of Cognitive Overloading and Distractions on Human Movement During Robot-Assisted Dressing. Frontiers in Robotics and AI, 9, Article 815871. https://doi.org/10.3389/frobt.2022.815871

For robots that can provide physical assistance, maintaining synchronicity of the robot and human movement is a precursor for interaction safety. Existing research on collaborative HRI does not consider how synchronicity can be affected if humans are... Read More about A Study on the Effects of Cognitive Overloading and Distractions on Human Movement During Robot-Assisted Dressing.

A genome-scale metabolic model of Cupriavidus necator H16 integrated with TraDIS and transcriptomic data reveals metabolic insights for biotechnological applications (2022)
Journal Article
Pearcy, N., Garavaglia, M., Millat, T., Gilbert, J. P., Song, Y., Hartman, H., …Minton, N. P. (2022). A genome-scale metabolic model of Cupriavidus necator H16 integrated with TraDIS and transcriptomic data reveals metabolic insights for biotechnological applications. PLoS Computational Biology, 18(5), Article e1010106. https://doi.org/10.1371/journal.pcbi.1010106

Exploiting biological processes to recycle renewable carbon into high value platform chemicals provides a sustainable and greener alternative to current reliance on petrochemicals. In this regard Cupriavidus necator H16 represents a particularly prom... Read More about A genome-scale metabolic model of Cupriavidus necator H16 integrated with TraDIS and transcriptomic data reveals metabolic insights for biotechnological applications.

Sensitive Pictures: Emotional Interpretation in the Museum (2022)
Presentation / Conference Contribution
Benford, S., Sundnes Løvlie, A., Ryding, K., Rajkowska, P., Bodiaj, E., Paris Darzentas, D., …Spanjevic, B. (2022). Sensitive Pictures: Emotional Interpretation in the Museum. In CHI '22: Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems. https://doi.org/10.1145/3491102.3502080

Museums are interested in designing emotional visitor experiences to complement traditional interpretations. HCI is interested in the relationship between Affective Computing and Affective Interaction. We describe Sensitive Pictures, an emotional vis... Read More about Sensitive Pictures: Emotional Interpretation in the Museum.

Metaverse: The Vision for the Future (2022)
Presentation / Conference Contribution
Xu, J., Papangelis, K., Dunham, J., Goncalves, J., LaLone, N. J., Chamberlain, A., …Schwartz, D. I. (2022). Metaverse: The Vision for the Future. In CHI EA '22: Extended Abstracts of the 2022 CHI Conference on Human Factors in Computing Systems (1-3). https://doi.org/10.1145/3491101.3516399

In recent years, the notion of the Metaverse has become the focus of a growing body of work in the industry. However, there is no consensus on the conceptualization in academia. To date, much of this attention has revolved around technological challe... Read More about Metaverse: The Vision for the Future.

The Impact of Motion Scaling and Haptic Guidance on Operators’ Workload and Performance in Teleoperation (2022)
Presentation / Conference Contribution
Parsa, S., Maior, H. A., Thumwood, A. R. E., Wilson, M. L., Hanheide, M., & Esfahani, A. G. (2022). The Impact of Motion Scaling and Haptic Guidance on Operators’ Workload and Performance in Teleoperation. In CHI EA '22: Extended Abstracts of the 2022 CHI Conference on Human Factors in Computing Systems (Article No.: 253). https://doi.org/10.1145/3491101.3519814

The use of human operator managed robotics, especially for safety critical work, includes a shift from physically demanding to mentally challenging work, and new techniques for Human-Robot Interaction are being developed to make teleoperation easier... Read More about The Impact of Motion Scaling and Haptic Guidance on Operators’ Workload and Performance in Teleoperation.

Unpacking Practitioners' Attitudes Towards Codifications of Design Knowledge for Voice User Interfaces (2022)
Presentation / Conference Contribution
Khemani, K. H., & Reeves, S. (2022). Unpacking Practitioners' Attitudes Towards Codifications of Design Knowledge for Voice User Interfaces. In CHI '22: CHI Conference on Human Factors in Computing Systems. https://doi.org/10.1145/3491102.3517623

Recent HCI research has sought to develop guidelines-'heuristics', 'best practices', 'principles' and so on-for voice user interfaces (VUI) to aid both practitioners and researchers in improving the quality of VUI-based design. However, limited resea... Read More about Unpacking Practitioners' Attitudes Towards Codifications of Design Knowledge for Voice User Interfaces.

Dataset Similarity to Assess Semisupervised Learning Under Distribution Mismatch Between the Labeled and Unlabeled Datasets (2022)
Journal Article
Calderon-Ramirez, S., Oala, L., Torrentes-Barrena, J., Yang, S., Elizondo, D., Moemeni, A., …Lopez-Rubio, E. (2023). Dataset Similarity to Assess Semisupervised Learning Under Distribution Mismatch Between the Labeled and Unlabeled Datasets. IEEE Transactions on Artificial Intelligence, 4(2), 282-291. https://doi.org/10.1109/tai.2022.3168804

Semi-supervised deep learning (SSDL) is a popular strategy to leverage unlabelled data for machine learning when labelled data is not readily available. In real-world scenarios, different unlabelled data sources are usually available, with varying de... Read More about Dataset Similarity to Assess Semisupervised Learning Under Distribution Mismatch Between the Labeled and Unlabeled Datasets.

Demonstrating Interaction: The Case of Assistive Technology (2022)
Journal Article
Reyes-Cruz, G., Fischer, J. E., & Reeves, S. (2022). Demonstrating Interaction: The Case of Assistive Technology. ACM Transactions on Computer-Human Interaction, 29(5), 1-37. https://doi.org/10.1145/3514236

Technology "demos"have become a staple in technology design practice, especially for showcasing prototypes or systems. However, demonstrations are also commonplace and multifaceted phenomena in everyday life, and thus have found their way into empiri... Read More about Demonstrating Interaction: The Case of Assistive Technology.

Data-Driven Visiting Experiences (2022)
Book Chapter
Benford, S., Darzentas, D., Bodiaj, E., Tennent, P., Martindale, S., Cameron, H., & Spors, V. (2022). Data-Driven Visiting Experiences. In A. Waern, & A. S. Løvlie (Eds.), Hybrid Museum Experiences: Theory and Design (157-175). Amsterdam University Press. https://doi.org/10.5117/9789463726443

Data is seen as the ‘new oil’ that drives the digital economy, and museums are no exception to this. We investigate how data captured from hybrid museum experiences can become a resource for designers, for museums, and for visitors in their understan... Read More about Data-Driven Visiting Experiences.

RAT-RS: a reporting standard for improving the documentation of data use in agent-based modelling (2022)
Journal Article
Achter, S., Borit, M., Chattoe-Brown, E., & Siebers, P. (2022). RAT-RS: a reporting standard for improving the documentation of data use in agent-based modelling. International Journal of Social Research Methodology, 25(4), 517-540. https://doi.org/10.1080/13645579.2022.2049511

This article describes and justifies a reporting standard to improve data use documentation in Agent-Based Modelling. Following the development of reporting standards for models themselves, empirical modelling has now developed to the point where the... Read More about RAT-RS: a reporting standard for improving the documentation of data use in agent-based modelling.

Predictability of higher heating value of biomass feedstocks via proximate and ultimate analyses – A comprehensive study of artificial neural network applications (2022)
Journal Article
Güleç, F., Pekaslan, D., Williams, O., & Lester, E. (2022). Predictability of higher heating value of biomass feedstocks via proximate and ultimate analyses – A comprehensive study of artificial neural network applications. Fuel, 320, Article 123944. https://doi.org/10.1016/j.fuel.2022.123944

Higher heating value (HHV) is a key characteristic for the assessment and selection of biomass feedstocks as a fuel source. The HHV is usually measured using an adiabatic oxygen bomb calorimeter; however, this method can be time consuming and expensi... Read More about Predictability of higher heating value of biomass feedstocks via proximate and ultimate analyses – A comprehensive study of artificial neural network applications.

Identification of QTL and underlying genes for root system architecture associated with nitrate nutrition in hexaploid wheat (2022)
Journal Article
GRIFFITHS, M., ATKINSON, J. A., Gardiner, L. J., SWARUP, R., POUND, M. P., WILSON, M. H., …WELLS, D. M. (2022). Identification of QTL and underlying genes for root system architecture associated with nitrate nutrition in hexaploid wheat. Journal of Integrative Agriculture, 21(4), 917-932. https://doi.org/10.1016/s2095-3119%2821%2963700-0

The root system architecture (RSA) of a crop has a profound effect on the uptake of nutrients and consequently the potential yield. However, little is known about the genetic basis of RSA and resource adaptive responses in wheat (Triticum aestivum L.... Read More about Identification of QTL and underlying genes for root system architecture associated with nitrate nutrition in hexaploid wheat.

Efficiency Focused Energy Management Strategy Based on Optimal Droop Gain Design for More Electric Aircraft (2022)
Journal Article
Mohamed, M. A., Yeoh, S. S., Atkin, J., Hussaini, H., & Bozhko, S. (2022). Efficiency Focused Energy Management Strategy Based on Optimal Droop Gain Design for More Electric Aircraft. IEEE Transactions on Transportation Electrification, 8, 4205-4218. https://doi.org/10.1109/tte.2022.3159731

Due to the substantial increase of the number of electrically-driven systems on-board More Electric Aircraft (MEA), the on-board Electric Power Systems (EPS) are becoming more and more complex. Therefore, there is a need to develop a control strategy... Read More about Efficiency Focused Energy Management Strategy Based on Optimal Droop Gain Design for More Electric Aircraft.

A European Agency for Artificial Intelligence: Protecting fundamental rights and ethical values (2022)
Journal Article
Stahl, B. C., Rodrigues, R., Santiago, N., & Macnish, K. (2022). A European Agency for Artificial Intelligence: Protecting fundamental rights and ethical values. Computer Law and Security Review, 45, Article 105661. https://doi.org/10.1016/j.clsr.2022.105661

Following years of intensive international debate of the ethical and human rights implications of artificial intelligence (AI)-related technologies, there are numerous proposals to legislate and regulate these technologies. One aspect of possible leg... Read More about A European Agency for Artificial Intelligence: Protecting fundamental rights and ethical values.

Learning from Carers to inform the Design of Safe Physically Assistive Robots - Insights from a Focus Group Study (2022)
Presentation / Conference Contribution
Camilleri, A., Dogramadzi, S., & Caleb-Solly, P. (2022). Learning from Carers to inform the Design of Safe Physically Assistive Robots - Insights from a Focus Group Study. In 2022 17th ACM/IEEE International Conference on Human-Robot Interaction (HRI 2022) (703-707). https://doi.org/10.1109/hri53351.2022.9889658

This research investigates how professional carers physically assist frail older adults. Carers were asked to discuss their approach and steps for providing safe physical assistance and highlight hazards that assistive robots would have to deal with... Read More about Learning from Carers to inform the Design of Safe Physically Assistive Robots - Insights from a Focus Group Study.