43 research outputs found
Automatic Detection of User Abilities through the SmartAbility Framework
This paper presents a proposed smartphone application for the unique SmartAbility Framework that
supports interaction with technology for people with reduced physical ability, through focusing on
the actions that they can perform independently. The Framework is a culmination of knowledge
obtained through previously conducted technology feasibility trials and controlled usability
evaluations involving the user community. The Framework is an example of ability-based design that
focuses on the abilities of users instead of their disabilities. The paper includes a summary of
Versions 1 and 2 of the Framework, including the results of a two-phased validation approach,
conducted at the UK Mobility Roadshow and via a focus group of domain experts. A holistic model
developed by adapting the House of Quality (HoQ) matrix of the Quality Function Deployment (QFD)
approach is also described. A systematic literature review of sensor technologies built into smart
devices establishes the capabilities of sensors in the Android and iOS operating systems. The review
defines a set of inclusion and exclusion criteria, as well as search terms used to elicit literature from
online repositories. The key contribution is the mapping of ability-based sensor technologies onto
the Framework, to enable the future implementation of a smartphone application. Through the
exploitation of the SmartAbility application, the Framework will increase technology amongst people
with reduced physical ability and provide a promotional tool for assistive technology manufacturers
QCD analysis of W- and Z-boson production at Tevatron
Recent measurements of the W-boson charge asymmetry and of the Z-boson production cross sections, performed at the Tevatron collider in Run II by the D0 and CDF collaborations, are studied using the HERAFitter framework to assess their impact on the proton parton distribution functions (PDFs). The Tevatron measurements, together with deep-inelastic scattering data from HERA, are included in a QCD analysis performed at next-to-leading order, and compared to the predictions obtained using other PDF sets from different groups. Good agreement between measurements and theoretical predictions is observed. The Tevatron data provide significant constraints on the d-valence quark distribution
[pain]Byte VR Storytelling & Classical Ballet
This initial stage paper focuses on the Virtual Reality (VR) experience of the [pain]Byte ballet. The live and VR experience debut October 1st 2017, as part of the Brighton digital festival. Specifically, the development of the VR environment to compliment live performance by using the same choreography to create an option capture element of the VR story telling experience. Reviewing Virtual & Alternative reality gaming & storytelling works and the use of VR for chronic pain management (Chen, Win). Does the VR experience compare to that of the live theatre for the audience?
The data visualisations and VR environment will be continuations of the Network Simulator, [data]Storm 2015. We are visualising and comparing the pain pathway system to that of a social network. Linking pain signals to viral/negative messaging for some of the visuals. The main purpose of the pieces links to how âwe" present ourselves online, these better or veiled versions of ourselves. For chronic pain sufferers, this can be daily activity in the real world. The paper concludes by identifying some future directions for the research project.
The Ballet: [pain]Byte is a data driven dance classical ballet performance and VR (virtual reality) experience. [pain]Byte, is about chronic pain and biomedical engineering, in particular the use of implanted technology - neuromodulation (Al-Kaisey et al). Using data as a medium for storytelling, what it means to be in chronic pain. The live augmented theatre and VR experience research focuses on how an audienceâs exposure and understanding are impacted by the difference mediums used for [pain]byte
The Astropy Project: Building an inclusive, open-science project and status of the v2.0 core package
The Astropy project supports and fosters the development of open-source and openly-developed Python packages that provide commonly-needed functionality to the astronomical community. A key element of the Astropy project is the core package Astropy, which serves as the foundation for more specialized projects and packages. In this article, we provide an overview of the organization of the Astropy project and summarize key features in the core package as of the recent major release, version 2.0. We then describe the project infrastructure designed to facilitate and support development for a broader ecosystem of inter-operable packages. We conclude with a future outlook of planned new features and directions for the broader Astropy project
Is the ozone climate penalty robust in Europe?
Ozone air pollution is identified as one of the main threats bearing upon human health and ecosystems, with 25 000 deaths in 2005 attributed to surface ozone in Europe (IIASA 2013 TSAP Report #10). In addition, there is a concern that climate change could negate ozone pollution mitigation strategies, making them insufficient over the long run and jeopardising chances to meet the long term objective set by the European Union Directive of 2008 (Directive 2008/50/EC of the European Parliament and of the Council of 21 May 2008) (60 ppbv, daily maximum). This effect has been termed the ozone climate penalty. One way of assessing this climate penalty is by driving chemistry-transport models with future climate projections while holding the ozone precursor emissions constant (although the climate penalty may also be influenced by changes in emission of precursors). Here we present an analysis of the robustness of the climate penalty in Europe across time periods and scenarios by analysing the databases underlying 11 articles published on the topic since 2007, i.e. a total of 25 model projections. This substantial body of literature has never been explored to assess the uncertainty and robustness of the climate ozone penalty because of the use of different scenarios, time periods and ozone metrics. Despite the variability of model design and setup in this database of 25 model projection, the present meta-analysis demonstrates the significance and robustness of the impact of climate change on European surface ozone with a latitudinal gradient from a penalty bearing upon large parts of continental Europe and a benefit over the North Atlantic region of the domain. Future climate scenarios present a penalty for summertime (JJA) surface ozone by the end of the century (2071-2100) of at most 5 ppbv. Over European land surfaces, the 95% confidence interval of JJA ozone change is [0.44; 0.64] and [0.99; 1.50] ppbv for the 2041-2070 and 2071-2100 time windows, respectively
Climate change in China in the 21st century as simulated by a high resolution regional climate model
The labour of user co-creators: Emergent social network markets?
Co-creative relations among professional media producers and consumers indicate a profound shift in which our frameworks and categories of analysis (such as the traditional labour theory of value) that worked well in the context of an industrial media economy are perhaps less helpful than before. Can this phenomenon just be explained as the exploitative extraction of surplus value from the work of users, or is something else, potentially more profound and challenging, playing out here? Does consumer co-creation contribute to the precarious conditions of professional creative workers? This article draws from ethnographic research undertaken from 2000 to 2005 with Auran games (a game development company based in Brisbane, Australia) to engage with debates about the status of user co-creation as labour. The article argues that as a hybrid and emergent social network market these relationships introduce a form of creative destruction to labour relations in the context of the creative industries