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Modeling and control of operator functional state in a unified framework of fuzzy inference petri nets (2017)
Journal Article
Zhang, J.-H., Xia, J.-J., Garibaldi, J. M., Groumpos, P. P., & Wang, R.-B. (2017). Modeling and control of operator functional state in a unified framework of fuzzy inference petri nets. Computer Methods and Programs in Biomedicine, 144, https://doi.org/10.1016/j.cmpb.2017.03.016

Background and objective: In human-machine (HM) hybrid control systems, human operator and machine cooperate to achieve the control objectives. To enhance the overall HM system performance, the discrete manual control task-load by the operator must b... Read More about Modeling and control of operator functional state in a unified framework of fuzzy inference petri nets.

Complex search task: how to make a phone safe for a child (2017)
Journal Article
Rutter, S., Blinzler, V., Ye, C., Twidale, M. B., & Wilson, M. L. (2017). Complex search task: how to make a phone safe for a child. CEUR Workshop Proceedings, 1798,

There are many factors in task design that might make it ‘complex’: having multiple components, having multiple cross-dependent components, tasks that involve comparison, evaluation, estimation, or learning. In this paper, we discuss a case study of... Read More about Complex search task: how to make a phone safe for a child.

Measuring mental workload in IIR user studies with fNIRS (2017)
Presentation / Conference Contribution
Wilson, M. L., Alsuraykh, N., & Maior, H. A. (2017). Measuring mental workload in IIR user studies with fNIRS.

Gathering neuro-physiological data during user studies, and analysing the continuous data they produce, typically involves making a tradeoff between detail and practical utility. is paper describes our long-term work-in-progress towards developing... Read More about Measuring mental workload in IIR user studies with fNIRS.

Office workers' perceived barriers and facilitators to taking regular micro-breaks at work: a diary-probed interview study (2017)
Journal Article
Huang, Y., Benford, S., Hendrickx, H., Treloar, R., & Blake, H. (2017). Office workers' perceived barriers and facilitators to taking regular micro-breaks at work: a diary-probed interview study. Lecture Notes in Artificial Intelligence, 10171, 149-161. https://doi.org/10.1007/978-3-319-55134-0_12

Research has suggested regular breaks in sedentary office work are im-portant for health, wellbeing and long-term productivity. Although many comput-erized break reminders exist, few are based on user needs and requirements as determined by formative... Read More about Office workers' perceived barriers and facilitators to taking regular micro-breaks at work: a diary-probed interview study.

Sparse, continuous policy representations for uniform online bin packing via regression of interpolants (2017)
Journal Article
Swan, J., Drake, J. H., Neumann, G., & Özcan, E. (2017). Sparse, continuous policy representations for uniform online bin packing via regression of interpolants. Lecture Notes in Artificial Intelligence, 10197, 189-200. https://doi.org/10.1007/978-3-319-55453-2_13

Online bin packing is a classic optimisation problem, widely tackled by heuristic methods. In addition to human-designed heuristic packing policies (e.g. first- or best- fit), there has been interest over the last decade in the automatic generation o... Read More about Sparse, continuous policy representations for uniform online bin packing via regression of interpolants.

Type-2 fuzzy linear systems (2017)
Journal Article
Najariyan, M., Mazandarani, M., & John, R. (2017). Type-2 fuzzy linear systems. International Journal of Granular Computing, Rough Sets and Intelligent Systems, 2(3), https://doi.org/10.1007/s41066-016-0037-y

Fuzzy Linear Systems (FLSs) are used in practical situations where some of the systems parameters or variables are uncertain. To date, investigations conducted on FLSs are restricted to those in which the uncertainty is assumed to be modeled by Type-... Read More about Type-2 fuzzy linear systems.

AutoRoot: open-source software employing a novel image analysis approach to support fully-automated plant phenotyping (2017)
Journal Article
Pound, M. P., Fozard, S., Torres Torres, M., Forde, B. G., & French, A. P. (2017). AutoRoot: open-source software employing a novel image analysis approach to support fully-automated plant phenotyping. Plant Methods, 13(1), Article 12. https://doi.org/10.1186/s13007-017-0161-y

Background: Computer-based phenotyping of plants has risen in importance in recent years. Whilst much software has been written to aid phenotyping using image analysis, to date the vast majority has been only semi-automatic. However, such interaction... Read More about AutoRoot: open-source software employing a novel image analysis approach to support fully-automated plant phenotyping.

The Tetris model of resolving information needs within the information seeking process (2017)
Presentation / Conference Contribution
Wilson, M. L. (2017). The Tetris model of resolving information needs within the information seeking process.

Theoretical abstractions, of many different aspects of search, have played a crucial role in driving research into human information seeking and retrieval forward. From models of the Information Seeking Process, to how we perceive search systems, the... Read More about The Tetris model of resolving information needs within the information seeking process.

An experimental study of hyper-heuristic selection and acceptance mechanism for combinatorial t-way test suite generation (2017)
Journal Article
Zamil, K. Z., Din, F., Kendall, G., & Ahmed, B. S. (2017). An experimental study of hyper-heuristic selection and acceptance mechanism for combinatorial t-way test suite generation. Information Sciences, 399, https://doi.org/10.1016/j.ins.2017.03.007

Recently, many meta-heuristic algorithms have been proposed to serve as the basis of a t -way test generation strategy (where t indicates the interaction strength) including Genetic Algorithms (GA), Ant Colony Optimization (ACO), Simulated Annealing... Read More about An experimental study of hyper-heuristic selection and acceptance mechanism for combinatorial t-way test suite generation.

In-the-loop or on-the-loop? Interactional arrangements to support team coordination with a planning agent (2017)
Journal Article
Fischer, J. E., Greenhalgh, C., Jiang, W., Ramchurn, S. D., Wu, F., & Rodden, T. (2017). In-the-loop or on-the-loop? Interactional arrangements to support team coordination with a planning agent. Concurrency and Computation: Practice and Experience, Article e4082. https://doi.org/10.1002/cpe.4082

In this paper we present the study of interactional arrangements that support the collaboration of headquarters (HQ), field responders and a computational planning agent in a time-critical task setting created by a mixed-reality game. Interactional a... Read More about In-the-loop or on-the-loop? Interactional arrangements to support team coordination with a planning agent.

A technique based on trade-off maps to visualise and analyse relationships between objectives in optimisation problems (2017)
Journal Article
Pinheiro, R. L., Landa-Silva, D., & Atkin, J. (2017). A technique based on trade-off maps to visualise and analyse relationships between objectives in optimisation problems. Journal of Multi-Criteria Decision Analysis, 24(1-2), 37-56. https://doi.org/10.1002/mcda.1604

Understanding the relationships between objectives in a multiobjective optimisation problem is important for developing tailored and efficient solving techniques. In particular, when tackling combinatorial optimisation problems with many objectives t... Read More about A technique based on trade-off maps to visualise and analyse relationships between objectives in optimisation problems.

Robust datamining (2017)
Presentation / Conference Contribution
Uwe, A. (2017). Robust datamining.

Our long-term research goal is to develop datamining methodologies that are robust to changes in data and uncertainty. By robust we mean solutions remain ‘optimal’ when things change or are easily repaired. Broadly, this robustness can be achieved in... Read More about Robust datamining.

Interconnected alchemy: an apparatus for alchemical algorithms (2017)
Presentation / Conference Contribution
De Roure, D., Wilcox, P., & Chamberlain, A. (2017). Interconnected alchemy: an apparatus for alchemical algorithms.

The trope of the fraudulent or occult alchemist, prevalent since the mediaeval period of alchemy’s introduction into European thought, belies the endeavour of practitioners from ancient Egypt onwards. Alchemists used observation, experimentation, and... Read More about Interconnected alchemy: an apparatus for alchemical algorithms.

The Microphenotron: a robotic miniaturized plant phenotyping platform with diverse applications in chemical biology (2017)
Journal Article
Burrell, T., Fozard, S., Holroyd, G. H., French, A. P., Pound, M. P., Bigley, C. J., …Forde, B. G. (2017). The Microphenotron: a robotic miniaturized plant phenotyping platform with diverse applications in chemical biology. Plant Methods, 13(1), Article 10. https://doi.org/10.1186/s13007-017-0158-6

Background
Chemical genetics provides a powerful alternative to conventional genetics for understanding gene function. However, its application to plants has been limited by the lack of a technology that allows detailed phenotyping of whole-seedling... Read More about The Microphenotron: a robotic miniaturized plant phenotyping platform with diverse applications in chemical biology.

SuRVoS: Super-Region Volume Segmentation workbench (2017)
Journal Article
Luengo, I., Darrow, M. C., Spink, M. C., Sun, Y., Dai, W., He, C. Y., …French, A. P. (2017). SuRVoS: Super-Region Volume Segmentation workbench. Journal of Structural Biology, 198(1), 43-53. https://doi.org/10.1016/j.jsb.2017.02.007

Segmentation of biological volumes is a crucial step needed to fully analyse their scientific content. Not having access to convenient tools with which to segment or annotate the data means many biological volumes remain under-utilised. Automatic seg... Read More about SuRVoS: Super-Region Volume Segmentation workbench.

Talking with conversational agents in collaborative action (2017)
Presentation / Conference Contribution
Porcheron, M., Fischer, J. E., McGregor, M., Brown, B., Luger, E., Candello, H., & O'Hara, K. (2017). Talking with conversational agents in collaborative action. . https://doi.org/10.1145/3022198.3022666

This one-day workshop intends to bring together both academics and industry practitioners to explore collaborative challenges in speech interaction. Recent improvements in speech recognition and computing power has led to conversational interfaces be... Read More about Talking with conversational agents in collaborative action.

"Do animals have accents?": Talking with agents in multi-party conversation (2017)
Presentation / Conference Contribution
Porcheron, M., Fischer, J. E., & Sharples, S. (2017). "Do animals have accents?": Talking with agents in multi-party conversation. In CSCW '17 Proceedings of the 2017 ACM Conference on Computer Supported Cooperative Work and Social Computing: Proceedings (207-219). https://doi.org/10.1145/2998181.2998298

In this paper we unpack the use of conversational agents, or so-called intelligent personal assistants (IPAs), in multi- party conversation amongst a group of friends while they are socialising in a café. IPAs such as Siri or Google Now can be found... Read More about "Do animals have accents?": Talking with agents in multi-party conversation.

Some conversational challenges of talking with machines (2017)
Presentation / Conference Contribution
Reeves, S. (2017). Some conversational challenges of talking with machines.

A surge of interest in the capabilities of so-called 'conversational' technologies—both from research and industrial contexts—furnishes CSCW and HCI with opportunities to enrich and leverage its historic connection to conversation analysis (and relat... Read More about Some conversational challenges of talking with machines.

Mathematical modelling of cytokines, MMPs and fibronectin fragments in osteoarthritic cartilage (2017)
Journal Article
Baker, M., Brook, B. S., & Owen, M. R. (2017). Mathematical modelling of cytokines, MMPs and fibronectin fragments in osteoarthritic cartilage. Journal of Mathematical Biology, 75(4), 985-1024. https://doi.org/10.1007/s00285-017-1104-y

Osteoarthritis (OA) is a degenerative disease which causes pain and stiffness in joints. OA progresses through excessive degradation of joint cartilage, eventually leading to significant joint degeneration and loss of function. Cytokines, a group of... Read More about Mathematical modelling of cytokines, MMPs and fibronectin fragments in osteoarthritic cartilage.