Today the infrastructure needed to support pervasive computing and the Internet of Things (IoT) is unparalleled as entirely new classes of applications and systems emerge. For example, pervasive systems designed to augment human cognition with tasks such as face recognition must operate at “superhuman speeds,” delivering insights to help with human decision-making within very strict and narrow time

In a Philadelphia neighborhood where opioid overdoses are frequent, neighbors used a smartphone app to request and give help for victims of suspected overdose. A one-year study demonstrated the feasibility of this approach, which empowered the local community to save lives and even respond to overdoses faster than emergency medical services.

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It is the end of summer. What many thought would simply be a “bad start” into the year has proven to have a longer lasting effect. With COVID-19 infections still (or again) on the rise around the world, what lies ahead for research and education in our field?

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The growth of edge computing depends on large-scale deployments of edge infrastructure. Benchmarking applications are needed to compare the performance across different edge deployments and against device-only and cloud-only implementations. In this article, we present OpenRTiST, an open-source application that is simultaneously compute-intensive, bandwidth-hungry, and latency-sensitive. It implements

Edge computing was motivated by the vision of new edge-native applications that are compute-intensive, bandwidth-hungry, and latency-sensitive. We show how infrastructure deployed for such futuristic applications can also benefit virtual machine (VM)-encapsulated Windows or Linux closed-source legacy applications. We present a new capability for legacy applications called edge-based virtual desktop

Interventions to improve the medication adherence have had limited success and can require significant human resources to implement. Research focused on improving medication adherence has undergone a paradigm shift, of late, with a shift toward developing personalized, theory-driven interventions. The current research integrates foundational and translational science to implement a mechanism-focused

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By the time you are holding this issue in your hands (or accessed it online), your smartphone will most likely already have downloaded the new OS extensions by Google and Apple to enable contact tracing via BLE. A watershed moment for… Public health? Governmental location tracking? Privacy by design? Cross-platform interoperability?

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The articles in this special section focus on personalized pervasive health. For over more than two decades, mobile, wearable, and ambient sensor and interaction devices have grown into today’s plethora of computing platforms and tools for pervasive health. Pervasive computing is now assimilating into medicine, from disease risk prevention to diagnostics, and from treatment support to chronic-care

Physical, mental, and behavioral processes of most living beings underlie cyclic changes, mainly governed by the day-night cycle. Investigations of these circadian rhythms have traditionally required constrained settings and invasive methods, such as repetitive blood testing and testing in sleep laboratories. Recent developments in pervasive technology, e.g., the proliferation of smartphones in our

Examines the concept of "thorough evaluations.” For example, are authors supposed to show clinical evidence for the health efficacy of their technology? Or, are they supposed to show that the technology is technically sound and working? Or, that it is secure and has appropriate privacy-protection of sensitive personal data? Or, that the technology is usable and user-friendly for the users? Or, ...

Reports on issues dealing with user-centered design (UCD) in digital healthcare. UCD is the focus of many teams developing digital health innovations, yet principles are not always effectively employed. We have identified several common ways that UCD principles fall short at all stages of the design process and steps to overcome those pitfalls. From connecting patients, providers, and caregivers, to

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Reports on educational developments in the area of online lectures or video recording that involves human-computer interaction between students and the teaching community.

Fabricatable Machines is a toolkit for rapidly designing and making robust, computer-controlled machines. The project demonstrates a future where fabrication tools can be scaled, altered, and customized for the use and fluency of the maker.

Day to day interactions with wearable and pervasive systems lead to collected data that capture various aspects of human behavior and enable machine learning algorithms to extract extensive information about users. We discuss privacy risk awareness, and ways to preserve privacy and integrate it in current frameworks.

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Future healthcare systems will rely heavily on clinical decision support systems (CDSS) to improve the decision-making processes of clinicians. To explore the design of future CDSS, we developed a research-focused CDSS for the management of patients in the intensive care unit that leverages Internet of Things devices capable of collecting streaming physiologic data from ventilators and other medical

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Connected devices are increasingly popular (think “smart fridge”), yet it is unclear how “smart,” IoT-filled environments will fare in terms of longevity. What if the company that runs a device's underlying cloud service goes out of business? Will its connected car still run? Will its smart TV still turn on? Will we still be able to turn on our lights?

In this Special Issue, we set out to explore this topic as projected into twin demons relating to attention—unwanted attention paid to us versus our own attention being unwittingly diverted—i.e., the danger of living in a Panopticon versus the specter of our personal cognitive resources being fragmented and deleteriously diverted by too many competing digital factions that exploit intimate knowledge

Sensing plays a critical role for human biology, as well as for technological systems. As distributed sensing, mass surveillance, and body-worn sensors become widespread, there is a need for a clear metric of sensing, to enable design and regulation of sensory devices in line with privacy requirements. In this article, sensing is quantified using veillance flux, to create a metric and visualization

Smart home innovations are both a research topic and an industry reality. In this article, we highlight smart home research from the Proceedings of the ACM Journal on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT) presented at the September 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing and smart home industry updates from the CES conference in January

Prospective authors are requested to submit new, unpublished manuscripts for inclusion in the upcoming event described in this call for papers.

Prospective authors are requested to submit new, unpublished manuscripts for inclusion in the upcoming event described in this call for papers.

The widespread adoption of feature phones and smartphones has previously led researchers to test the assumption that users always have their phones ready at hand. We believe the current ubiquity of other smart devices has changed this. Using a mixed methods approach inspired by past work in this area, we reevaluate the physical proximity relationship between individuals and their smartphone, as well

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Presents a listing of the editorial board, board of governors, current staff, committee members, and/or society editors for this issue of the publication..

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Presents a listing of the editorial board, board of governors, current staff, committee members, and/or society editors for this issue of the publication.

An ever-increasing number of apps on our phones promises to help us lead better (healthier, happier) lives. From stress-reducing “focus” apps to exercise-inducing fitness apps––one soon wonders how we could ever live without them! Yet, are our smartphones the solution, or are they the problem? And what does that mean for smart wearables, such as smart watches and smart glasses?

Prospective authors are requested to submit new, unpublished manuscripts for inclusion in the upcoming event described in this call for papers.

The articles in this special section explore the use of pervasive technology by and for children and teens. A number of pervasive computing products and services are now available for play, education, learning, and smart living. It is, therefore, important to understand how they affect—and how they are used by—children and teens who are growing up taking this technology for granted. These technologies

Learning activities for/with children include rich interactions with peers, tutors, and learning materials (in digital or physical form). During such activities, children gain new knowledge and master their skills. Automatized and continuous monitoring of children's learning is a complex task, but, if efficient, can greatly enrich teaching and learning. Wearable devices, such as eye-tracking glasses

One of the options to make science, technology, engineering, and mathematics (STEM) more accessible, especially for children, is to integrate STEM content into more attractive materials and familiar formats. In this line, by integrating STEM with arts and design, we have created an afterschool program, “Child-Robot Theater” for children in a rural elementary school. We administered two programs over

Child independent mobility (CIM) refers to the freedom and capability of children to move about their local neighborhoods without constant direct adult supervision. Our climb project combats an observed decline in CIM, offering a pervasive gameful platform for home-school mobility composed of three primary components: the first two using technology to support different levels of child independence

As IoT becomes increasingly pervasive, children are more regularly encountering IoT. The recent GDPR legislation in Europe goes some way toward protecting children as they make use of these IoT and other technologies, but there remain significant challenges in ensuring that the IoT that pervades children's world is socially responsible. This paper explores some of the reasons why the ethical implications

Hands-on exploration with robotics has been developed as a tool for creativity, but there are limitations with regard to accessibility. As a new method of creative and pervasive exploration for children and students, we propose a workshop using inflatable soft robots with short video recipes and onomatopoeia as a prompt. This method does not require prior knowledge or high fabrication costs and includes

Mental health represents a huge disease and societal burden and a significant body of research in ubiquitous computing has been devoted to the design of technologies for continuous monitoring, diagnosis, and care of mental health conditions. This paper reviews a decade of research into technologies for mental health, focusing on the use of mobile and wearable technology. The review found 46 systems

Our everyday interactions with pervasive systems generate traces that capture various aspects of human behavior and enable machine learning algorithms to extract latent information about users. In this paper, we propose a machine learning interpretability framework that enables users to understand how these generated traces violate their privacy.

A smart city analyzes the behavior of masses. A smart village analyzes the behavior of individuals. The smart city solutions that collect detailed information about individuals, strip them of anonymity without giving city-dwellers village-level understanding of their neighbors. If the smart city cannot provide privacy to its inhabitants, then it should make its insights about them available to all

The International Symposium on Wearable Computers (ISWC) has been the leading research venue for wearable technology research since 1997. In 2019, the 23rd ISWC was held in London, U.K., from Sep. 9th–13th. Following on the last eight years of successful collaboration, ISWC was colocated with the 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp).

Reports on the events and findings from the Dagstuhl Seminar entitled “Ubiquitous Computing Education: Why, What, and How” to explore these questions in more detail.2 The workshop gathered 26 faculty members and one undergraduate student3 to discuss the current state of ubiquitous computing education and to provide ideas for how to improve on our current practices. In this column, we discuss, and expand

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Security requires attention. Anyone who has forgotten to lock their front door because they were distracted by an incoming call can attest to this. The condensation of virtually everything into a single device—the smartphone—has normalized deviant behaviors that create security risks. For example, many smartphone users conduct secure transactions while juggling several other apps, thus creating opportunities

From not disturbing a focused programmer to entertaining a restless commuter waiting for a train, personal ubiquitous computing devices could greatly enhance their interaction with humans, should these devices only be aware of their users’ cognitive engagement. Despite impressive advances in the inference of human movement, physical activity, routines, and other behavioral aspects, inferring cognitive

With an ever-increasing number of mobile devices competing for attention, quantifying when, how often, or for how long users look at their devices has emerged as a key challenge in mobile human-computer interaction. Encouraged by recent advances in automatic eye contact detection using machine learning and device-integrated cameras, we provide a fundamental investigation into the feasibility of quantifying