Interactive visualisation for low literacy users

Sixteen percent (5.2 million) of the UK population possess low levels of literacy. The Government and other non-profit organisations, due to funding reforms, are forced to reduce the provision of face-to-face advice, and therefore, are pushing advice services via telephone or internet. As a consequence, low literacy users are experiencing difficulties finding the information they need to solve their day to day problems online. This thesis evaluates how walk in clients of a local Citizens Advice Bureau (CAB) who come to get social service information, obtain information online using the Adviceguide website. The thesis presents two challenges: (i) knowing the users in a way that can help consider design solutions that are probably not in a typical designer’s standard repertoire of design patterns, and (ii) knowing what is the problem that needs to be addressed. It is not simply an issue of usability or the need for simpler language, but understanding that these low literacy users are very different from the high literacy users. These low literacy users need this information to solve their day-to-day problems and are likely to be less successful in doing so. By providing an information architecture that permits them of a reasoning space and context, while supporting less abstract skills by visualized information in an unconventional way. The above challenges leave us with these research questions to address: what is the basis of such a design, how can these designs be incorporated into existing non-traditional interface proof of concept and finally how can these designs be evaluated

Second Life: the seventh face of the library?

Viewpoint/Discussion Paper Purpose This paper gives a brief introduction to Second Life, an outline of how one academic librarian has got involved with using it and reviews the issues that have arisen from a library perspective. Approach It offers a reflection on whether library activities in Second Life are different to library services in the real world and suggests that Second Life is just another ‘face’ of the library. Findings Second Life is still in the very early stages of development. There are various barriers and challenges to overcome before it can be used widely within universities. However, this paper shows it does provide an opportunity to experiment and explore what information resources are required in this environment and how librarianship and librarians need to evolve to cater for users in a three dimensional world. Originality/value This paper is based on personal experience and offers as many questions as answers

User-driven design of decision support systems for polycentric environmental resources management

Open and decentralized technologies such as the Internet provide increasing opportunities to create knowledge and deliver computer-based decision support for multiple types of users across scales. However, environmental decision support systems/tools (henceforth EDSS) are often strongly science-driven and assuming single types of decision makers, and hence poorly suited for more decentralized and polycentric decision making contexts. In such contexts, EDSS need to be tailored to meet diverse user requirements to ensure that it provides useful (relevant), usable (intuitive), and exchangeable (institutionally unobstructed) information for decision support for different types of actors. To address these issues, we present a participatory framework for designing EDSS that emphasizes a more complete understanding of the decision making structures and iterative design of the user interface. We illustrate the application of the framework through a case study within the context of water-stressed upstream/downstream communities in Lima, Peru

From decoding a graph to processing a multimodal message: Interacting with data visualization in the news media

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Towards a theoretical model of dashboard acceptance and use in healthcare domain

The objective of this paper is to investigate existing factors related to the decision to adopt and use of dashboards in the healthcare domain using a systematic literature review approach. The study is part of a larger initiative on how analytics dashboards can support decisions in value-based prostate cancer treatment and care. Although many studies have been undertaken to evaluate the implementation of health information technologies in the healthcare sector, as far as we know, none of these studies provides a framework for dashboards use in the healthcare context. We believe that the resulting model from our study provides the necessary first step in developing empirical evidence for the acceptance and use of the dashboards in the healthcare domain

Innovating Pedagogy 2017: Exploring new forms of teaching, learning and assessment, to guide educators and policy makers. Open University Innovation Report 6

This series of reports explores new forms of teaching, learning and assessment for an interactive world, to guide teachers and policy makers in productive innovation. This sixth report proposes ten innovations that are already in currency but have not yet had a profound influence on education. To produce it, a group of academics at the Institute of Educational Technology in The Open University collaborated with researchers from the Learning In a NetworKed Society (LINKS) Israeli Center of Research Excellence (I-CORE). Themes: • Big-data inquiry: thinking with data • Learners making science • Navigating post-truth societies • Immersive learning • Learning with internal values • Student-led analytics • Intergroup empathy • Humanistic knowledge-building communities • Open Textbooks • Spaced Learnin

Computational Notebooks as Co-Design Tools: Engaging Young Adults Living with Diabetes, Family Carers, and Clinicians with Machine Learning Models

Engaging end user groups with machine learning (ML) models can help align the design of predictive systems with people’s needs and expectations. We present a co-design study investigating the benefits and challenges of using computational notebooks to inform ML models with end user groups. We used a computational notebook to engage young adults, carers, and clinicians with an example ML model that predicted health risk in diabetes care. Through codesign workshops and retrospective interviews, we found that participants particularly valued using the interactive data visualisations of the computational notebook to scaffold multidisciplinary learning, anticipate benefits and harms of the example ML model, and create fictional feature importance plots to highlight care needs. Participants also reported challenges, from running code cells to managing information asymmetries and power imbalances. We discuss the potential of leveraging computational notebooks as interactive co-design tools to meet end user needs early in ML model lifecycles

Computational Notebooks as Co-Design Tools:Engaging Young Adults Living with Diabetes, Family Carers, and Clinicians with Machine Learning Models

Engaging end user groups with machine learning (ML) models can help align the design of predictive systems with people's needs and expectations. We present a co-design study investigating the benefits and challenges of using computational notebooks to inform ML models with end user groups. We used a computational notebook to engage young adults, carers, and clinicians with an example ML model that predicted health risk in diabetes care. Through co-design workshops and retrospective interviews, we found that participants particularly valued using the interactive data visualisations of the computational notebook to scaffold multidisciplinary learning, anticipate benefits and harms of the example ML model, and create fictional feature importance plots to highlight care needs. Participants also reported challenges, from running code cells to managing information asymmetries and power imbalances. We discuss the potential of leveraging computational notebooks as interactive co-design tools to meet end user needs early in ML model lifecycles

Collaborative trails in e-learning environments

This deliverable focuses on collaboration within groups of learners, and hence collaborative trails. We begin by reviewing the theoretical background to collaborative learning and looking at the kinds of support that computers can give to groups of learners working collaboratively, and then look more deeply at some of the issues in designing environments to support collaborative learning trails and at tools and techniques, including collaborative filtering, that can be used for analysing collaborative trails. We then review the state-of-the-art in supporting collaborative learning in three different areas – experimental academic systems, systems using mobile technology (which are also generally academic), and commercially available systems. The final part of the deliverable presents three scenarios that show where technology that supports groups working collaboratively and producing collaborative trails may be heading in the near future