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Connecting Distributed Families: Camera Work for Three-party Mobile Video Calls (2020)
Conference Proceeding
Gan, Y., Greiffenhagen, C., & Reeves, S. (2020). Connecting Distributed Families: Camera Work for Three-party Mobile Video Calls. In CHI '20: Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems (1-12). https://doi.org/10.1145/3313831.3376704

Mobile video calling technologies have become a critical link to connect distributed families. However, these technologies have been principally designed for video calling between two parties, whereas family video calls involve young children often c... Read More about Connecting Distributed Families: Camera Work for Three-party Mobile Video Calls.

AgentVis: Visual Analysis of Agent Behavior with Hierarchical Glyphs (2020)
Journal Article
Rees, D., Laramee, R. S., Brookes, P., D'Cruze, T., Smith, G. A., & Miah, A. (2020). AgentVis: Visual Analysis of Agent Behavior with Hierarchical Glyphs. IEEE Transactions on Visualization and Computer Graphics, 27(9), 3626-3643. https://doi.org/10.1109/tvcg.2020.2985923

Glyphs representing complex behavior provide a useful and common means of visualizing multivariate data. However, due to their complex shape, overlapping and occlusion of glyphs is a common and prominent limitation. This limits the number of discreet... Read More about AgentVis: Visual Analysis of Agent Behavior with Hierarchical Glyphs.

A Local Search for Numerical Optimisation Based on Covariance Matrix Diagonalisation (2020)
Conference Proceeding
Neri, F., & Rostami, S. (2020). A Local Search for Numerical Optimisation Based on Covariance Matrix Diagonalisation. . https://doi.org/10.1007/978-3-030-43722-0_1

© 2020, Springer Nature Switzerland AG. Pattern Search is a family of optimisation algorithms that improve upon an initial solution by performing moves along the directions of a basis of vectors. In its original definition Pattern Search moves along... Read More about A Local Search for Numerical Optimisation Based on Covariance Matrix Diagonalisation.

White Noise from the White Goods? Privacy by Design for Ambient Domestic Computing (2020)
Book Chapter
Urquhart, L. (2020). White Noise from the White Goods? Privacy by Design for Ambient Domestic Computing. In L. Edwards, B. Schafer, & E. Harbinja (Eds.), Future Law: Emerging Technology, Regulation and Ethics. Edinburgh University Press

Within this chapter we consider the emergence of ambient domestic computing systems, both conceptually and empirically. We critically assess visions of post-desktop computing, paying particular attention to one contemporary trend: the internet of thi... Read More about White Noise from the White Goods? Privacy by Design for Ambient Domestic Computing.

The future of ICT for health and ageing: Unveiling ethical and social issues through horizon scanning foresight (2020)
Journal Article
Flick, C., Zamani, E. D., Stahl, B. C., & Brem, A. (2020). The future of ICT for health and ageing: Unveiling ethical and social issues through horizon scanning foresight. Technological Forecasting and Social Change, 155, Article 119995. https://doi.org/10.1016/j.techfore.2020.119995

This paper uses horizon scanning as a foresight methodology to investigate the opportunities, challenges and futures of ICT for health and ageing, particularly focusing on identifying the ethical and social issues associated with this sector. It uses... Read More about The future of ICT for health and ageing: Unveiling ethical and social issues through horizon scanning foresight.

A Local Search with a Surrogate Assisted Option for Instance Reduction (2020)
Conference Proceeding
Neri, F., & Triguero, I. (2020). A Local Search with a Surrogate Assisted Option for Instance Reduction. In Applications of Evolutionary Computation (578-594). https://doi.org/10.1007/978-3-030-43722-0_37

© 2020, Springer Nature Switzerland AG. In data mining, instance reduction is a key data pre-processing step that simplifies and cleans raw data, by either selecting or creating new samples, before applying a learning algorithm. This usually yields t... Read More about A Local Search with a Surrogate Assisted Option for Instance Reduction.

Galaxy Image Classification Based on Citizen Science Data: A Comparative Study (2020)
Journal Article
Jiménez, M., Torres Torres, M., John, R., & Triguero, I. (2020). Galaxy Image Classification Based on Citizen Science Data: A Comparative Study. IEEE Access, 8, 47232-47246. https://doi.org/10.1109/access.2020.2978804

Many research fields are now faced with huge volumes of data automatically generated by specialised equipment. Astronomy is a discipline that deals with large collections of images difficult to handle by experts alone. As a consequence, astronomers h... Read More about Galaxy Image Classification Based on Citizen Science Data: A Comparative Study.

A membrane parallel rapidly-exploring random tree algorithm for robotic motion planning (2020)
Journal Article
Martínez-Del-Amor, M. A., Pérez-Hurtado, I., Martínez-Del-Amor, M. A., Zhang, G., Neri, F., & Pérez-Jiménez, M. J. (2020). A membrane parallel rapidly-exploring random tree algorithm for robotic motion planning. Integrated Computer-Aided Engineering, 27(2), 121-138. https://doi.org/10.3233/ICA-190616

© 2020-IOS Press and the authors. All rights reserved. In recent years, incremental sampling-based motion planning algorithms have been widely used to solve robot motion planning problems in high-dimensional configuration spaces. In particular, the R... Read More about A membrane parallel rapidly-exploring random tree algorithm for robotic motion planning.

Potential of geoelectrical methods to monitor root zone processes and structure: A review (2020)
Journal Article
Cimpoia?u, M. O., Cimpoiasu, M. O., Kuras, O., Pridmore, T., & Mooney, S. J. (2020). Potential of geoelectrical methods to monitor root zone processes and structure: A review. Geoderma, 365, 114232. https://doi.org/10.1016/j.geoderma.2020.114232

© 2020 Understanding the processes that control mass and energy exchanges between soil, plants and the atmosphere plays a critical role for understanding the root zone system, but it is also beneficial for practical applications such as sustainable a... Read More about Potential of geoelectrical methods to monitor root zone processes and structure: A review.

Response to the CMA’s Market Study Interim Report on Online Platforms and Digital Advertising (2020)
Other
McAuley, D., & Chen, J. (2020). Response to the CMA’s Market Study Interim Report on Online Platforms and Digital Advertising

Horizon is a Research Institute centred at The University of Nottingham and a Research Hub within the UKRI Digital Economy programme. Horizon brings together researchers from a broad range of disciplines to investigate the opportunities and challenge... Read More about Response to the CMA’s Market Study Interim Report on Online Platforms and Digital Advertising.

Modalities of Expression: Capturing Embodied Knowledge in Cooking (2020)
Conference Proceeding
Baurley, S., Petreca, B., Selinas, P., Selby, M., & Flintham, M. (2020). Modalities of Expression: Capturing Embodied Knowledge in Cooking. In TEI '20: Proceedings of the Fourteenth International Conference on Tangible, Embedded, and Embodied Interaction (785–797). https://doi.org/10.1145/3374920.3375005

When cooking we negotiate between instructions in recipes and personal preferences to make in-the-moment creative decisions. This process represents moments of creativity that utilise and reveal our embodied knowledge. This paper focuses on the captu... Read More about Modalities of Expression: Capturing Embodied Knowledge in Cooking.

An innovative approach to multi-method integrated assessment modelling of global climate change (2020)
Journal Article
Siebers, P. O., Lim, Z. E., Figueredo, G. P., & Hey, J. (2020). An innovative approach to multi-method integrated assessment modelling of global climate change. Journal of Artificial Societies and Social Simulation, 23(1), https://doi.org/10.18564/jasss.4209

© 2020, University of Surrey. All rights reserved. Modelling and simulation play an increasingly significant role in exploratory studies for informing policy makers on climate change mitigation strategies. There is considerable research being done in... Read More about An innovative approach to multi-method integrated assessment modelling of global climate change.

Haptic-Guided Teleoperation of a 7-DoF Collaborative Robot Arm with an Identical Twin Master (2020)
Journal Article
Singh, J., Srinivasan, A. R., Neumann, G., & Kucukyilmaz, A. (2020). Haptic-Guided Teleoperation of a 7-DoF Collaborative Robot Arm with an Identical Twin Master. IEEE Transactions on Haptics, 13(1), 246-252. https://doi.org/10.1109/toh.2020.2971485

In this study, we describe two techniques to enable haptic-guided teleoperation using 7-DoF cobot arms as master and slave devices. A shortcoming of using cobots as master-slave systems is the lack of force feedback at the master side. However, recen... Read More about Haptic-Guided Teleoperation of a 7-DoF Collaborative Robot Arm with an Identical Twin Master.

Spectral Representation of Behaviour Primitives for Depression Analysis (2020)
Journal Article
Song, S., Jaiswal, S., Shen, L., & Valstar, M. (2020). Spectral Representation of Behaviour Primitives for Depression Analysis. IEEE Transactions on Affective Computing, https://doi.org/10.1109/taffc.2020.2970712

Depression is a serious mental disorder affecting millions of people. Traditional clinical diagnosis methods are subjective, complicated and require extensive participation of clinicians. Recent advances in automatic depression analysis systems promi... Read More about Spectral Representation of Behaviour Primitives for Depression Analysis.

Towards a Framework for Capturing Interpretability of Hierarchical Fuzzy Systems - A Participatory Design Approach (2020)
Journal Article
Soria, D., Razak, T. R., Garibaldi, J. M., Pourabdollah, A., & Wagner, C. (2021). Towards a Framework for Capturing Interpretability of Hierarchical Fuzzy Systems - A Participatory Design Approach. IEEE Transactions on Fuzzy Systems, 29(5), 1160-1172. https://doi.org/10.1109/tfuzz.2020.2969901

Hierarchical fuzzy systems (HFSs) have been shown to have the potential to improve the interpretability of fuzzy logic systems (FLSs). However, challenges remain, such as: "How can we measure their interpretability?", "How can we make an informed ass... Read More about Towards a Framework for Capturing Interpretability of Hierarchical Fuzzy Systems - A Participatory Design Approach.

Deep Learning with Dynamically Weighted Loss Function for Sensor-Based Prognostics and Health Management (2020)
Journal Article
Rengasamy, D., Jafari, M., Rothwell, B., Chen, X., & Figueredo, G. P. (2021). Deep Learning with Dynamically Weighted Loss Function for Sensor-Based Prognostics and Health Management. Sensors, 20(3), https://doi.org/10.3390/s20030723

Deep learning has been employed to prognostic and health management of automotive and aerospace with promising results. Literature in this area has revealed that most contributions regarding deep learning is largely focused on the model’s architectur... Read More about Deep Learning with Dynamically Weighted Loss Function for Sensor-Based Prognostics and Health Management.

Using digitally augmented objects to reduce sedentary behavior in office workers: design and development of the WorkMyWay intervention (2020)
Working Paper
Huang, Y., Price, D., Benford, S., Patel, R., & Blake, H. Using digitally augmented objects to reduce sedentary behavior in office workers: design and development of the WorkMyWay intervention

Background: Sedentary behavior (SB) is associated with various adverse health outcomes. The prevalence of prolonged sitting at work among office workers makes a case for SB interventions to target this setting and population. Everyday mundane obje... Read More about Using digitally augmented objects to reduce sedentary behavior in office workers: design and development of the WorkMyWay intervention.

Identity Politics: Participatory Research and Its Challenges Related to Social and Epistemic Control (2020)
Journal Article
Böschen, S., Legris, M., Pfersdorf, S., & Stahl, B. C. (2020). Identity Politics: Participatory Research and Its Challenges Related to Social and Epistemic Control. Social Epistemology, 34(4), 382-394. https://doi.org/10.1080/02691728.2019.1706121

Over the past 20 years, the participation of laypersons or representatives of civil society has become a guiding principle in processes of research and innovation. There is now a significant literature discussing collaboration between civil society o... Read More about Identity Politics: Participatory Research and Its Challenges Related to Social and Epistemic Control.

Creative autonomy in a simple interactive music system (2020)
Journal Article
Paolizzo, F., & Johnson, C. G. (2020). Creative autonomy in a simple interactive music system. Journal of New Music Research, 49(2), 115-125. https://doi.org/10.1080/09298215.2019.1709510

Can autonomous systems be musically creative without musical knowledge? Assumptions from interdisciplinary studies on self-reflection are evaluated using Video Interactive VST Orchestra, a system that generates music from audio and video inputs throu... Read More about Creative autonomy in a simple interactive music system.