The article outlines the issues that the internet presents to death studies. Part 1 describes a range of online practices that may affect dying, the funeral, grief and memorialization, inheritance and archaeology; it also summarizes the kinds of research that have been done in these fields. Part 2 argues that these new online practices have implications for, and may be illuminated by, key concepts in death studies: the sequestration (or separation from everyday life) of death and dying, disenfranchisement of grief, private grief, social death, illness and grief narratives, continuing bonds with the dead, and the presence of the dead in society. In particular, social network sites can bring dying and grieving out of both the private and public realms and into the everyday life of social networks beyond the immediate family, and provide an audience for once private communications with the dead.

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The importance of older adults' social networks in providing practical, emotional and informational support is well documented. In this paper, we reflect on the personal social networks of older adults, and the shortcomings of existing online Social Networking Sites (SNSs) in supporting their needs. We report findings from ethnographic interviews, focus groups and hands-on demonstrations with older adults, where we find key themes affecting adoption of SNSs. We then consider design aspects that should be taken into account for future SNSs, if they are to meet the preferences of older users.

Contemporary Neonatal Intensive Care Units collect vast amounts of patient data in various formats, making efficient processing of information by medical professionals difficult. Moreover, different stakeholders in the neonatal scenario, which include parents as well as staff occupying different roles, have different information requirements. This paper describes recent and ongoing work on building systems that automatically generate textual summaries of neonatal data. Our evaluation results show that the technology is viable and comparable in its effectiveness for decision support to existing presentation modalities. We discuss the lessons learned so far, as well as the major challenges involved in extending current technology to deal with a broader range of data types, and to improve the textual output in the form of more coherent summaries.

Relationship breakdowns are undoubtedly difficult. Access to and use of technology can exacerbate the situation. In our networked society, shared lives generate vast amounts of shared digital data which can be difficult to untangle, whilst social media can provide an outlet to emotions that can take a public and often persistent form. In this paper, we report on a qualitative study that considered the role of technology in the process of a relationship breaking down. Four main themes emerged in our findings: communicating about the separation, change in social status, shared digital assets, and moving on. Opportunities for design are identified in reducing misunderstandings via CMCs, enhancing social media, supporting intimacy in distributed families, and refining service provision.

PurposeCrowdsourcing is based on outsourcing computationally intensive tasks to numerous individuals in the online community who have no formal training. Our aim was to develop a novel online tool designed to facilitate large-scale annotation of digital retinal images, and to assess the accuracy of crowdsource grading using this tool, comparing it to expert classification.MethodsWe used 100 retinal fundus photograph images with predetermined disease criteria selected by two experts from a large cohort study. The Amazon Mechanical Turk Web platform was used to drive traffic to our site so anonymous workers could perform a classification and annotation task of the fundus photographs in our dataset after a short training exercise. Three groups were assessed: masters only, nonmasters only and nonmasters with compulsory training. We calculated the sensitivity, specificity, and area under the curve (AUC) of receiver operating characteristic (ROC) plots for all classifications compared to expert grading, and used the Dice coefficient and consensus threshold to assess annotation accuracy.ResultsIn total, we received 5389 annotations for 84 images (excluding 16 training images) in 2 weeks. A specificity and sensitivity of 71% (95% confidence interval [CI], 69%–74%) and 87% (95% CI, 86%–88%) was achieved for all classifications. The AUC in this study for all classifications combined was 0.93 (95% CI, 0.91–0.96). For image annotation, a maximal Dice coefficient (∼0.6) was achieved with a consensus threshold of 0.25.ConclusionsThis study supports the hypothesis that annotation of abnormalities in retinal images by ophthalmologically naive individuals is comparable to expert annotation. The highest AUC and agreement with expert annotation was achieved in the nonmasters with compulsory training group.Translational RelevanceThe use of crowdsourcing as a technique for retinal image analysis may be comparable to expert graders and has the potential to deliver timely, accurate, and cost-effective image analysis.

Most Human-Computer Interaction (HCI) researchers are accustomed to the process of formal ethics review for their evaluation or field trial protocol. Although this process varies by country, the underlying principles are universal. While this process is often a formality, for field research or lab-based studies with vulnerable users, formal ethics requirements can be challenging to navigate -a common occurrence in the social sciences; yet, in many cases, foreign to HCI researchers. Nevertheless, with the increase in new areas of research such as mobile technologies for marginalized populations or assistive technologies, this is a current reality. In this paper we present our experiences and challenges in conducting several studies that evaluate interactive systems in difficult settings, from the perspective of the ethics process. Based on these, we draft recommendations for mitigating the effect of such challenges to the ethical conduct of research. We then issue a call for interaction researchers, together with policy makers, to refine existing ethics guidelines and protocols in order to more accurately capture the particularities of such field-based evaluations, qualitative studies, challenging labbased evaluations, and ethnographic observations.

In 2030, we will have a different interactive experience with our built environments, at home, at work, and even in public urban spaces. This is attributed to advancements in sensing and actuation systems that can integrate into the building infrastructures, in symbiosis with the new environmental concerns that call for new life, work, and mobility styles. This change, whether gradual or sudden, evident or seamless, can have a remarkable impact on our everyday experiences, and thus entails efforts to envision possible scenarios and plan for them.