Analysis of Research on the Effects of Improved Water, Sanitation, and Hygiene on the Health of People Living with HIV and AIDS and Programmatic Implications

This paper reviews the existing scientific and programmatic evidence, raises WASH issues in the HIV and AIDS context that need further study to build the evidence base, assesses current WASH guidance through a review of national HIV/AIDS guidelines from five African countries, and identifies programmatic implications that home-based care programs and the WASH sectors must consider

Mapping Accessible Paths in the City Using Collective Intelligence

New information and communication technologies (ICTs) have an increasingly stronger role in people\u27s lives, especially after the commoditization of smartphones. They affect many aspects of everyday life, including urban mobility. Some applications, including Waze, benefit from the collective intelligence (CI) of the crowds to gather the information they need to provide users with good advice on the routes to follow. But they are mainly focused on roads and streets, giving little information on the quality of sidewalks, which are essential to pedestrians, people on wheelchairs and blind people. With the intention to improve the mobility of citizens with special needs, we developed the prototype of an application that allows users themselves to update accessibility maps, tagging obstacles and also indicating the existence of resources that contribute to improve the mobility of people with special needs in urban spaces. Tests in a controlled environment helped to debug the application’s functionalities, before members of the intended target group of users were finally exposed to it. Results are promising, as users were able to include relevant data by themselves and seem motivated to keep doing so, due a sense of utility, social facilitation or simply due to altruism, as anticipated by the CI literature. One unexpected outcome was that impaired users are more excited about the potential the application has to give visibility to the challenges they face than with the actual improvement it can bring to their mobility

The Role of Health Kiosks in 2009: Literature and Informant Review

Kiosks can provide patients with access to health systems in public locations, but with increasing home Internet access their usefulness is questioned. A literature and informant review identified kiosks used for taking medical histories, health promotion, self assessment, consumer feedback, patient registration, patient access to records, and remote consultations. Sited correctly with good interfaces, kiosks can be used by all demographics but many ‘projects’ have failed to become routine practice. A role remains for: (a) integrated kiosks as part of patient ‘flow’, (b) opportunistic kiosks to catch people’s attention. Both require clear ‘ownership’ to succeed

Bridging the digital divide for hard-to-reach groups

Boeltzig and Pilling identified specific groups of people who typically are not connected to the Internet and examined the circumstances of each - rural, poor, disabled, seniors, and ethnic minorities. They focused on how these groups of people, such as homebound individuals, could benefit most from using online government services. They also identified technical as well as social barriers that limit access. Their recommendations are aimed at both increasing access for these targeted groups and increasing use by individuals in the targeted groups. They also provide valuable recommendations aimed at service or application providers who have a major role in increasing both access and accessibility. The case studies resulted in insights and lessons that are broadly applicable. Based on the case studies, the authors offer recommendations that are practical and serve as useful guides to practitioners and policy makers at all levels of government

Use of nonintrusive sensor-based information and communication technology for real-world evidence for clinical trials in dementia

Cognitive function is an important end point of treatments in dementia clinical trials. Measuring cognitive function by standardized tests, however, is biased toward highly constrained environments (such as hospitals) in selected samples. Patient-powered real-world evidence using information and communication technology devices, including environmental and wearable sensors, may help to overcome these limitations. This position paper describes current and novel information and communication technology devices and algorithms to monitor behavior and function in people with prodromal and manifest stages of dementia continuously, and discusses clinical, technological, ethical, regulatory, and user-centered requirements for collecting real-world evidence in future randomized controlled trials. Challenges of data safety, quality, and privacy and regulatory requirements need to be addressed by future smart sensor technologies. When these requirements are satisfied, these technologies will provide access to truly user relevant outcomes and broader cohorts of participants than currently sampled in clinical trials

Designing and evaluating the usability of a machine learning API for rapid prototyping music technology

To better support creative software developers and music technologists' needs, and to empower them as machine learning users and innovators, the usability of and developer experience with machine learning tools must be considered and better understood. We review background research on the design and evaluation of application programming interfaces (APIs), with a focus on the domain of machine learning for music technology software development. We present the design rationale for the RAPID-MIX API, an easy-to-use API for rapid prototyping with interactive machine learning, and a usability evaluation study with software developers of music technology. A cognitive dimensions questionnaire was designed and delivered to a group of 12 participants who used the RAPID-MIX API in their software projects, including people who developed systems for personal use and professionals developing software products for music and creative technology companies. The results from the questionnaire indicate that participants found the RAPID-MIX API a machine learning API which is easy to learn and use, fun, and good for rapid prototyping with interactive machine learning. Based on these findings, we present an analysis and characterization of the RAPID-MIX API based on the cognitive dimensions framework, and discuss its design trade-offs and usability issues. We use these insights and our design experience to provide design recommendations for ML APIs for rapid prototyping of music technology. We conclude with a summary of the main insights, a discussion of the merits and challenges of the application of the CDs framework to the evaluation of machine learning APIs, and directions to future work which our research deems valuable

Evaluating Digital Libraries: A Longitudinal and Multifaceted View

published or submitted for publicatio

Automatic information exchange between interoperable information systems: Potential improvement of access management in a seaport terminal

The purpose of this paper is to explore how and when the most beneficial and cost effective information attributes can be automatically exchanged between interoperable information systems of a seaport terminal operator, a road haulier, and a rail operator to potentially improve their access management. The automatically exchange of the attributes is dependent on interoperability between information systems of the involved actors. The interoperability is achieved through a developed application programming interface in this study. This case study adds to prior research by developing a cost-benefits analysis that categorises the attributes (from low cost / low benefit to high cost / high benefit) involving four strategies: data farming, dedicated information exchange, opportunistic information exchange, and avoiding information exchange. These four strategies are important in identifying when to collect the information attributes automatically to facilitate real-time decision-making and in turn potentially improve the access management for the involved actors. is developed in this case study to enable interoperability between the information systems of involved actors. As a change management tool, the cost-benefit analysis can also be used to identify and support transformation of attributes from one category to another. The empirical study included nine workshops resulting in the identification of the most beneficial and cost effective information attributes: deviation information, direction, driver ID, estimated time of arrival, goods priority information, intermodal transport unit (ITU) ID, ITU status, opening hours, shipment ID, and vehicle ID. The attributes must be automatically exchanged according to three identified time phases: one week before, one day before, and two hours before the ITUs are to be picked up at the terminal. By exchanging these attributes between the interoperable actors\ub4 information systems, there is potential for reducing the actors\ub4 turnaround times, increasing their access reliability, access precision, and access flexibility. Finally, two propositions are formulated from the empirical findings and in relation to prior research results