The widespread use of free analytics tools has helped revolutionise the web-enabling developers to gain deep insights into user behaviour. Analytics are also perceived as critical to enabling the next generation of the Internet of Things. However, despite the existence of numerous IoT analytics engines none have had the catalytic effect of web analytics in helping to transform developers' understanding of the systems they create. In this paper we report on our experiences of creating and using a system that looks to repurpose web analytics to enable growth in the future IoT.

Beside reminiscing, the increasing cognitive decline in dementia can also be addressed through sensory stimulation allowing the immediate, nonverbal engagement with the world through one's senses. Much HCI work has prioritized cognitive stimulation for reminiscing or personhood often on small screens, while less research has explored sensory stimulation like the one enabled by large displays. We describe a year-long deployment in a residential care home of a wall-sized display, and explored its domestication through 24 contextual interviews. Findings indicate strong engagement and attachment to the display which has inspired four psychosocial interventions using online generic content. We discuss the value of these findings for personhood through residents' exercise of choices, the tension between generic/personal content and its public/private use, the importance of participatory research approach to domestication, and the infrastructure-based prototype, illustrated by the DementiaWall and its generative quality.

IoT technologies are increasingly being deployed to support the operation and maintenance of complex highways infrastructure assets. However, the use of interconnected cyber-physical systems in such critical infrastructure raises important privacy, safety and security issues. While security issues in IoT transport systems and autonomous vehicles are well studied, there is minimal research relating to cyber security in the field of highways maintenance. In this paper, we introduce the problem domain, evidence the lack of existing research and provide example threats to IoT highways maintenance systems based on a realworld case study.

The emergence of widespread pervasive sensing, personal recording technologies and systems for quantified self are creating an environment in which one can capture finegrained activity traces. Such traces have wide applicability in domains such as human memory augmentation, behavior change and healthcare. However, obtaining these traces for research is non-trivial, especially those containing photographs of everyday activities. To source data for our own work we created an experimental setup in which we collected detailed traces of a group of researchers over 2.75 days. We share our experiences of this process and present a series of lessons for use by other members of the research community conducting similar studies.

Scheduling content onto pervasive displays is a complex problem. Researchers have identified an array of potential requirements that can influence scheduling decisions, but the relative importance of these different requirements varies across deployments, with context, and over time. In this paper we describe the design and implementation of a lotterybased scheduling approach that allows for the combination of multiple scheduling policies and is easily extensible to accommodate new scheduling requirements.