Values in computing

Whether it is in the form of software, system architecture or interface design, anything digital is inevitably affected by values: the organizational values of the project sponsor, the values of the research partners, and the values of each developer and designer. Some values (e.g. commercial success, academic prestige) are easier to quantify than others (e.g. social justice, care for the environment) with the latter often dismissed in decision making processes as lacking of measurable ‘evidence’. However, less easy to measure values are not less real: they are simply less visible. The aim of this one-day workshop is precisely to investigate mechanisms which give more exposure to those values in computing that are less frequently considered. We do so by bringing together practitioners from different computing backgrounds (e.g. software engineering, interaction design, information systems) who have first-hand experience of trying to represent on an equal footing all human values in computing

Values-first software engineering:research principles in practice

The realization that software has a far reaching impact on politics, society and the environment is not new. However, only recently software impact has been explicitly described as `systemic' and framed around complex social problems such as sustainability. We argue that `wicked' social problems are consequences of the interplay between complex economical, technical and political interactions and their underlying value choices. Such choices are guided by specific sets of human values that have been found in all cultures by extensive evidence-based research. The aim of this paper is to give more visibility to the interrelationship between values and SE choices. To this end, we first introduce the concept of Values-First SE and reflect on its implications for software development. Our contribution to SE is embedding the principles of values research in the SE decision making process and extracting lessons learned from practice

Anxiety and autism:towards personalized digital health

For many people living with conditions such as autism, anxiety manifests so powerfully it has a big impact on quality of life. By investigating the suitability of truly customizable wearable health devices we build on prior research that found each experience of anxiety in people with autism is unique, so 'one-suits all' solutions are not suitable. In addition, users desire agency and control in all aspects of the system. The participative approach we take is to iteratively co-develop prototypes with end users. Here we describe a case study of the co-development of one prototype, a digital stretch wristband that records interaction for later reflection called Snap. Snap has been designed to sit within a platform that allows the distributed and sustainable design, manufacture and data analysis of customizable digital health technologies. We contribute to HCI with (1) lessons learned from a DIY co-development process that follows the principles of modularity, participation and iteration and (2) the potential impact of technology in self-management of anxiety and the broader design implications of addressing unique anxiety experiences

Computing and mental health:intentionality and reflection at the click of a button

Automated passive sensing applications and self-reported smart diaries seem to hold promise for the management of anxiety in autism and other mental health conditions. However, passive sensing often struggles with noisy data, ambiguous feedback and weak user agency over the device, whilst self-reporting relies on user-entered data which can be time consuming and cognitively demanding. To address these limitations, we explore a different approach, whereby individuals consciously actuate personal data capture and are in control of it at all times; yet, the interaction solely involves clicking a button, thus avoiding cognitive overload whilst supporting immediate reflection. We call this approach intentive computing. Through our initial investigations we found that conscious interactions cannot only provide real-time relief in anxiety management, but can also function as memory anchors irrespective of the content captured and even prior to data visualizatio

Mobile Age:Open Data Mobile Apps to Support Independent Living

We present design insights for developing mobile services for senior citizens which have emerged through substantive engagement with end users and other stakeholders. We describe the aims of the Mobile Age project, and the ideas and rationale for applications that have emerged through a co-creation process. A trusted data platform is proposed along with apps that bring open data and mobile technology to work for an underserved population

Examining Interdependencies and Constraints in Co-Creation

This paper reports on the first year of a three-year-long cocreation project with older adults. We focus our analysis on one particular workshop in which participants stopped designing and began to think about promoting the app we were co-creating. The workshop proved uniquely important for examining assumptions we had made about how and why the co-creation process would be successful. This paper concedes flaws in these assumptions and in the execution of the methodology as a way of illuminating dynamics that act on research projects in ways that are antithetical to effective co-creation. Reporting on the unexpected results of our participant engagements, we reveal new insights into the challenges in executing co-creation methodology

SE in ES:Opportunities for Software Engineering and Cloud Computing in Environmental Science

New and emergent computing architectures and software engineering practices provide an opportunity for environmental models to be deployed more efficiently and democratically. In this paper we aim to capture the software engineering practices of environmental scientists, highlight opportunities for software engineering and work towards developing a domain specific language for the configuration and deployment of environmental models. We hold a series of interviews with environmental scientists involved in developing and deploying computer based environmental models about the approach taken in engineering models, and describe a case study in deploying an environmental model (WRF: Weather Research & Forecasting) on a cloud architecture. From these studies we find a number of opportunities for a) software engineering methods and tools such as Domain Specific Languages to play a role in abstracting from underlying computing complexity, and for b) new architectures to increase efficiency and availability of deployment. Together, we propose they will allow scientists to concentrate on fundamental science rather than specifics of the underlying computing

Dysarthric speech measures for use in evidence-based speech therapy

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