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Prospective authors are requested to submit new, unpublished manuscripts for inclusion in the upcoming event described in this call for papers.

Prospective authors are requested to submit new, unpublished manuscripts for inclusion in the upcoming event described in this call for papers.

Presents the front cover for this issue of the publication.

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

Presents the table of contents for this issue of the publication.

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