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“Good and Scary at the Same Time”—Exploring Citizens’ Perceptions of a Prospective Metaverse IEEE Pervasive Comput. (IF 1.6) Pub Date : 2024-03-11 Michel Hohendanner, Chiara Ullstein, Gudrun Socher, Jens Grossklags
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Where the Wild Things Are—A Trip to the Pervasive Multiverse and Its Inhabitants IEEE Pervasive Comput. (IF 1.6) Pub Date : 2024-03-05 Andreas Butz, Carl Oechsner, Svenja Schött, Daniel Ullrich, Sarah Diefenbach, Sidney Fels
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Visual Privacy Control for Metaverse and the Beyond IEEE Pervasive Comput. (IF 1.6) Pub Date : 2024-03-04 Tatsuya Amano, Teruhiro Mizumoto, Srikant Manas Kala, Hirozumi Yamaguchi, Tomokazu Matsui, Keiichi Yasumoto
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Preference in Voice Commands and Gesture Controls With Hands-Free Augmented Reality With Novel Users IEEE Pervasive Comput. (IF 1.6) Pub Date : 2024-03-04 Mikko Korkiakoski, Paula Alavesa, Panos Kostakos
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Pandemic Preparedness With Pervasive Computing IEEE Pervasive Comput. (IF 1.6) Pub Date : 2023-12-05 Oliver Amft, Hassan Ghasemzadeh
The COVID-19 pandemic has stimulated pervasive computing research and development resulting in new, impactful public health tools, including digital contact tracing, crowd dynamics analysis, and symptom tracking, which are broadly recognized by the public and expert groups alike. In the post-COVID age, focus has shifted to establish a level of pandemic preparedness. Across all preparedness measures
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Let us Break the Time Barrier—Anytime Computing IEEE Pervasive Comput. (IF 1.6) Pub Date : 2023-12-05 Florian Michahelles, Philipp Wintersberger
Thanks to the advances in communication technologies, the costs of connecting to our beloved ones over distance have become negligible. The provision of bandwidth, access to connectivity, and integration of cameras into almost any mobile device allows us to perceive what is happening with our communication counterparts visually. The emergence of telepresence robots even provides us with a remote presence
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BLE-Based Contact Tracing: Characterization of Distance Estimation Errors and Mitigation Options IEEE Pervasive Comput. (IF 1.6) Pub Date : 2023-11-02 Barbara Nußbaummüller, Bernhard Etzlinger, Karin Anna Hummel
Contact tracing is an accepted means to keep track of human infection chains during epidemics. Contact tracing smartphone apps such as deployed during the recent COVID-19 pandemic are widely based on distance estimation by privacy-preserving use of Bluetooth Low Energy (BLE). Yet, the BLE received signal strength indicator used for distance estimation is too weakly correlated with the distance in real
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Considering Wearable Health Tracking Devices and Pandemic Preparedness for Universities IEEE Pervasive Comput. (IF 1.6) Pub Date : 2023-10-30 Andrew Vargo, Peter Neigel, Koichi Kise
In the future, it is possible that universities could use sensing devices to help manage students and classroom disruptions during pandemics. Wearable sensing devices have shown the capability to identify oncoming illnesses. In particular, the Oura Ring, a smart-ring with sleep-tracking features, can detect cases of COVID-19 before users are aware of it. While these devices show promise, they are only
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Detecting Mobile Malware Associated With Global Pandemics IEEE Pervasive Comput. (IF 1.6) Pub Date : 2023-10-19 Alfredo J. Perez, Sherali Zeadally, David Kingsley Tan
More than 6 billion smartphones available worldwide can enable governments and public health organizations to develop apps to manage global pandemics. However, hackers can take advantage of this opportunity to target the public in nefarious ways through malware disguised as pandemics-related apps. A recent analysis conducted during the COVID-19 pandemic showed that several variants of COVID-19 related
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Toward Deep Digital Contact Tracing: Opportunities and Challenges IEEE Pervasive Comput. (IF 1.6) Pub Date : 2023-10-13 Renato Cherini, Ramiro Detke, Juan Fraire, Pablo G. Madoery, Jorge M. Finochietto
During the COVID-19 pandemic, digital contact tracing using mobile devices has been widely explored, with many proposals from academia and industry highlighting the benefits and challenges. Most approaches use Bluetooth low energy signals to learn and trace close contacts among users. However, tracing only these contacts can mask the risk of virus exposure in scenarios with low detection rates. To
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Generative AI and the Call for Brevity IEEE Pervasive Comput. (IF 1.6) Pub Date : 2023-10-06 Fahim Kawsar
Academic publishing is at a pivotal juncture. Generative AI models have fundamentally transformed the way we create, consume, and disseminate information. With the capability to produce expansive text in real time, these models demonstrate their potential to distil complex data into concise, digestible formats. Consequently, the traditional long-format academic paper seems increasingly outdated and
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Augmented Cognition IEEE Pervasive Comput. (IF 1.6) Pub Date : 2023-10-06 Sarah Clinch, Jamie A. Ward
With the advent of new wearables, novel sensing modalities, and portable neuroimaging technologies, we're presented with new opportunities to enhance human cognition. New systems in a range of form factors can help us direct and optimise our natural function, expand the capacity or velocity of that function, and extend their capabilities. In this special issue, the three featured articles illustrate
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Pervasive Computational Law IEEE Pervasive Comput. (IF 1.6) Pub Date : 2023-10-06 Clement Guitton, Aurelia Tamò-Larrieux, Simon Mayer, Kevin Ashley, Matthias Grabmair, Galileo Sartor, Giovanni Sartor, Gijs van Dijck
Computational law has its limits—whether these come from the very nature of the law itself or from technical limitations. By reviewing these limits, two conclusions become clear: That interdisciplinary solutions are a must, and that only a subset of law should be turned into automatically processable regulation.
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Designing an Inclusive and Engaging Hybrid Event: Experiences From CHIWORK IEEE Pervasive Comput. (IF 1.6) Pub Date : 2023-10-06 Andrew L. Kun, Orit Shaer
How can we make conferences inclusive hybrid events that support training and education? We explore this question through the lens of experiences that we gained by organizing a small hybrid conference. We identify lessons learned, focusing on (1) technical and non-technical support mechanisms for diverse in-person and online participants, (2) exploring new approaches for conference programming, and
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Provocative AI: Beyond Calm Interactions IEEE Pervasive Comput. (IF 1.6) Pub Date : 2023-10-06 Tom Hargreaves, Vinicius J. Pereira
Whilst the uses and potential benefits of AI-enabled technologies are expanding, there is also increased recognition of their potential downsides. This short comment critiques approaches to AI-enabled technologies based around ‘calm computing’ for rendering both users and the technologies themselves as passive and thus doing little to challenge the unsustainable status quo. It highlights some recent
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CityOutlook+: Early Crowd Dynamics Forecast Through Unbiased Regression With Importance-Based Synthetic Oversampling IEEE Pervasive Comput. (IF 1.6) Pub Date : 2023-09-26 Soto Anno, Kota Tsubouchi, Masamichi Shimosaka
This article studies crowd dynamics forecast one week in advance to detect irregular urban events, which plays an important role in infection prevention and crowd control. Previous approaches have failed to deal with the scarcity of anomalous events, resulting in a large model bias, and could not quantify the number of visitors in anomalous crowding. We proposed an unbiased regression using importance
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GreenCrowd: Toward a Holistic Algorithmic Crowd Charging Framework IEEE Pervasive Comput. (IF 1.6) Pub Date : 2023-09-06 Theofanis P. Raptis, Luca Bedogni
Crowd charging represents an alternative peer-to-peer energy replenishment option for mobile users to align with the circular economy paradigm. Following this option, users bound by finite resource capacity utilize the energy from external to the crowd wireless or wired energy sources (such as shared chargers), and internal to the crowd energy sources (such as mobile devices, via wireless power transfer)
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Unifying Threats Against Information Integrity in Participatory Crowd Sensing IEEE Pervasive Comput. (IF 1.6) Pub Date : 2023-07-28 Shameek Bhattacharjee, Sajal K. Das
This article proposes a unified threat landscape for participatory crowd sensing (P-CS) systems. Specifically, it focuses on attacks from organized malicious actors that may use the knowledge of P-CS platform’s operations and exploit algorithmic weaknesses in AI-based methods of event trust, user reputation, decision-making, or recommendation models deployed to preserve information integrity in P-CS
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Toward Personalized Music-Therapy: A Neurocomputational Modeling Perspective IEEE Pervasive Comput. (IF 1.6) Pub Date : 2023-06-30 Nicole Lai-Tan, Marios G. Philiastides, Fahim Kawsar, Fani Deligianni
Music therapy has emerged recently as a successful intervention that improves patient outcomes in a large range of neurological and mood disorders without adverse effects. Brain networks are entrained to music in ways that can be explained both via top-down and bottom-up processes. In particular, the direct interaction of auditory with the motor and the reward system via a predictive framework explains
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OCOsenseTM Smart Glasses for Analyzing Facial Expressions Using Optomyographic Sensors IEEE Pervasive Comput. (IF 1.6) Pub Date : 2023-06-29 James Archer, Ifigeneia Mavridou, Simon Stankoski, M. John Broulidakis, Andrew Cleal, Piotr Walas, Mohsen Fatoorechi, Hristijan Gjoreski, Charles Nduka
This article introduces the Emteq's OCOsenseTM smart glasses equipped with a novel noncontact OCOTM sensor technology for measuring facial muscle activation and expressions based on high-resolution tracking of skin movement. We demonstrate that the OCOTM sensor technology based on optomyography is a sensitive and accurate approach for assessing skin movement in three dimensions, providing a means for
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Space: The Ultimate Computational Edge IEEE Pervasive Comput. (IF 1.6) Pub Date : 2023-06-19 Zac Manchester, Avi Loeb
The space age was enabled by the invention of the transistor, and the close association of computing with the final frontier continues today. In fact, progress in low-power embedded electronics over the last decade has spawned a new breed of small, low-cost spacecraft, and a burgeoning commercial industry around them. This article documents some of that recent progress, while also looking forward to
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Pervasive Computing in Space IEEE Pervasive Comput. (IF 1.6) Pub Date : 2023-06-19 Ana Diaz-Artiles, Ariel Ekblaw, Gregory Falco, Jeremy D. Frank, Joseph A. Paradiso
Imagine “astronauts working in a lunar habitat with Internet of Things devices.” In response to such a simple prompt, within seconds a generative AI rendered the image above, which enamored this issue's guest editors with its fanciful, seemingly humorous depiction of what appears to be a pair of space-suited engineers engaged in something like a hackathon while sitting in the lunar dust with coffee
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Whereables? Examining Personal Technology Adoption in Contemporary Control Rooms IEEE Pervasive Comput. (IF 1.6) Pub Date : 2023-06-19 Nadine Flegel, Jonas Poehler, Tilo Mentler, Kristof Van Laerhoven
Early work in wearables research has often proposed visions in which wearable computers are introduced to support human operators in critical environments such as control rooms, ship bridges, cockpits, or operating rooms. Wearable assistants could for instance present critical task-relevant information to users regardless of their location, help in avoiding procedural errors, or enhance collaborations
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Perspectives on Negative Research Results in Pervasive Computing IEEE Pervasive Comput. (IF 1.6) Pub Date : 2023-06-12 Ella Peltonen, Nitinder Mohan, Peter Zdankin, Tanya Shreedhar, Tri Nguyen, Suzan Bayhan, Jon Crowcroft, Jussi Kangasharju, Daniela Nicklas
Not all research leads to fruitful results; trying new ways or methods may surpass state of the art, but sometimes the hypothesis is not proven, the improvement is insignificant, or the system fails because of a design error done years ago in previous works. In a systems discipline like pervasive computing, there are many sources of errors, from hardware issues over communication channels to heterogeneous
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Designing Technologies to Support Critical Thinking in an Age of Misinformation IEEE Pervasive Comput. (IF 1.6) Pub Date : 2023-06-01 Nattapat Boonprakong, Benjamin Tag, Tilman Dingler
Algorithms increasingly curate the information we see online, prioritizing attention and engagement. By catering to personal preferences, they confirm existing opinions and reinforce cognitive biases. When it comes to polarizing topics such as climate change or abortion rights, the combination of algorithmic information curation and cognitive biases can easily skew our perception and, thus, undermine
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Exploiting Radio Fingerprints for Simultaneous Localization and Mapping IEEE Pervasive Comput. (IF 1.6) Pub Date : 2023-05-26 Ran Liu, Billy Pik Lik Lau, Khairuldanial Ismail, Achala Chathuranga, Chau Yuen, Simon X. Yang, Yong Liang Guan, Shiwen Mao, U-Xuan Tan
Simultaneous localization and mapping (SLAM) is paramount for unmanned systems to achieve self-localization and navigation. It is challenging to perform SLAM in large environments, due to sensor limitations, complexity of the environment, and computational resources. We propose a novel approach for localization and mapping of autonomous vehicles using radio fingerprints,for example wireless fidelity
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Lasers on the Moon: Recommendations for Pioneering Lunar Communication Infrastructure IEEE Pervasive Comput. (IF 1.6) Pub Date : 2023-05-26 Nathaniel G. Gordon, Damiano Marsili, Ioannis Nikas, Nicolò Boschetti
Future missions carrying humans to the moon will require fast and resilient communication infrastructure to allow occupants to communicate between various orbiters, rovers, and stations—and to relay valuable data back to Earth. This work begins by examining the two core enabling technologies for space communications: radiofrequency and optical links. These approaches are compared in the context of
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Human-Centered AI IEEE Pervasive Comput. (IF 1.6) Pub Date : 2023-03-29 Claudio Pinhanez, Florian Michahelles, Albrecht Schmidt
AI technology and systems are increasingly used in devices and systems that are part of the pervasive computing fabric of the world. However, people are critical in the design, operation, and use of those AI systems, and society has to ensure that those systems operate transparently, promote equitable outcomes, respect privacy, and effectively serve people’s needs. In this context, this special section
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Privacy-Aware Eye Tracking: Challenges and Future Directions IEEE Pervasive Comput. (IF 1.6) Pub Date : 2023-03-29 Céline Gressel, Rebekah Overdorf, Inken Hagenstedt, Murat Karaboga, Helmut Lurtz, Michael Raschke, Andreas Bulling
What do you have to keep in mind when developing or using eye-tracking technologies regarding privacy? In this article we discuss the main ethical, technical, and legal categories of privacy, which is much more than just data protection. We additionally provide recommendations about how such technologies might mitigate privacy risks and in which cases the risks are higher than the benefits of the technology
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From UbiComp to Universe—Moving Pervasive Computing Research Into Space Applications IEEE Pervasive Comput. (IF 1.6) Pub Date : 2023-03-15 Ariel Ekblaw, Juliana Cherston, Fangzheng Liu, Irmandy Wicaksono, Don Derek Haddad, Valentina Sumini, Joseph A. Paradiso
Humanity's burgeoning crewed and uncrewed presence in space is creating increasing opportunity for ideas and approaches gestated for terrestrial use to be adapted and deployed in space applications. To illustrate this from the perspective of the Pervasive Community, this article overviews a selection of recent and ongoing space-oriented projects in the MIT Media Lab's Responsive Environments Group
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DDoD: Dual Denial of Decision Attacks on Human-AI Teams IEEE Pervasive Comput. (IF 1.6) Pub Date : 2023-02-27 Benjamin Tag, Niels van Berkel, Sunny Verma, Benjamin Zi Hao Zhao, Shlomo Berkovsky, Dali Kaafar, Vassilis Kostakos, Olga Ohrimenko
Artificial intelligence (AI) systems have been increasingly used to make decision-making processes faster, more accurate, and more efficient. However, such systems are also at constant risk of being attacked. While the majority of attacks targeting AI-based applications aim to manipulate classifiers or training data and alter the output of an AI model, recently proposed sponge attacks against AI models
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Interaction Design With Multi-Objective Bayesian Optimization IEEE Pervasive Comput. (IF 1.6) Pub Date : 2023-01-23 Yi-Chi Liao, John J. Dudley, George B. Mo, Chun-Lien Cheng, Liwei Chan, Antti Oulasvirta, Per Ola Kristensson
Interaction design typically involves challenging decision making that requires designers to consider multiple parameters and careful tradeoffs between various objectives. This article examines how AI can facilitate the process of interaction design by offloading some of the complex decision making required of designers. We study how multi-objective Bayesian optimization can be used to support designers
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AI-driven Family Interaction Over Melded Space and Time IEEE Pervasive Comput. (IF 1.6) Pub Date : 2023-01-23 Bumsoo Kang, Seungwoo Kang, Inseok Hwang
Computer-mediated interaction services connect people over a distance. However, we address that those people are often “locked in a frame”—which includes an interaction mode, a point in time, or a context of either person. We observe that such lock-ins make it difficult to shape the interaction to be mutually symmetric. In this article, we propose a semantic-equivalent melding of space and time to
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Explainable Federated Learning: A Lifecycle Dashboard for Industrial Settings IEEE Pervasive Comput. (IF 1.6) Pub Date : 2023-01-09 Michael Ungersböck, Thomas Hiessl, Daniel Schall, Florian Michahelles
As the adoption of federated learning (FL) in the manufacturing industry grows and systems get increasingly complex, a need to inspect their behavior arises. Stakeholders of the FL process want a more transparent system to understand the current state and analyze how its performance changed over time. However, current representation approaches are often not designed for industrial applications and
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Toward Social Role-Based Interruptibility Management IEEE Pervasive Comput. (IF 1.6) Pub Date : 2023-01-09 Christoph Anderson, Judith Simone Heinisch, Shohreh Deldari, Flora Salim, Sandra Ohly, Klaus David, Veljko Pejović
Pervasive and ubiquitous computing facilitates immediate access to information in the sense of always-on. Information, such as news, messages, or reminders, can significantly enhance our daily routines but are rendered useless or disturbing when not being aligned with our intrinsic interruptibility preferences. Attention management systems use machine learning to identify short-term opportune moments
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Hello, Goodbye IEEE Pervasive Comput. (IF 1.6) Pub Date : 2022-12-28 Marc Langheinrich
Has it already been 5 years? Time surely flies when one is having fun! It is with both a twinkle and a tear that I say goodbye to being Editor-in-Chief of IEEE Pervasive Computing (PvC)!
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Pervasive Healthcare: Privacy and Security in Data Annotation IEEE Pervasive Comput. (IF 1.6) Pub Date : 2022-12-28 Emma L. Tonkin, Kristina Yordanova
Novel pervasive healthcare solutions often require extensive labeled data, both to train activity, behavior, and symptom detection systems, and to monitor the reliability of the system. The annotation process can be intrusive for participants and raise significant privacy and security issues. We discuss these challenges and identify mitigations.
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A Cognitive Assistant for Operators: AI-Powered Knowledge Sharing on Complex Systems IEEE Pervasive Comput. (IF 1.6) Pub Date : 2022-12-08 Samuel Kernan Freire, Sarath Surendranadha Panicker, Santiago Ruiz-Arenas, Zoltán Rusák, Evangelos Niforatos
Operating a complex and dynamic system, such as an agile manufacturing line, is a knowledge-intensive task. It imposes a steep learning curve on novice operators and prompts experienced operators to continuously discover new knowledge, share it, and retain it. In practice, training novices is resource-intensive, and the knowledge discovered by experts is not shared effectively. To tackle these challenges
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Good Intentions, Bad Inventions: How Employees Judge Pervasive Technologies in the Workplace IEEE Pervasive Comput. (IF 1.6) Pub Date : 2022-12-02 Marios Constantinides, Daniele Quercia
Pervasive technologies combined with powerful AI have been recently introduced to enhance work productivity. Yet, some of these technologies are judged to be invasive. To identify which ones, we should understand how employees tend to judge these technologies. We considered 16 technologies that track productivity, and conducted a study in which 131 crowdworkers judged these scenarios. We found that
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HuCETA: A Framework for Human-Centered Embodied Teamwork Analytics IEEE Pervasive Comput. (IF 1.6) Pub Date : 2022-11-29 Vanessa Echeverria, Roberto Martinez-Maldonado, Lixiang Yan, Linxuan Zhao, Gloria Fernandez-Nieto, Dragan Gašević, Simon Buckingham Shum
Collocated teamwork remains a pervasive practice across all professional sectors. Even though live observations and video analysis have been utilized for understanding embodied interaction of team members, these approaches are impractical for scaling up the provision of feedback that can promote developing high-performance teamwork skills. Enriching spaces with sensors capable of automatically capturing
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Toward Dynamic Consent for Privacy-Aware Pervasive Health and Well-being: A Scoping Review and Research Directions IEEE Pervasive Comput. (IF 1.6) Pub Date : 2022-11-09 Hyunsoo Lee, Uichin Lee
Recent advances in sensor-enabled services have facilitated the use of mobile, wearable, and IoT devices; for example, an extensive range of sensor data are used to automatically track symptoms and diagnose health and well-being status of an individual (e.g., depression). As personal data are being continuously and unobtrusively sensed and collected at large scale, this raises privacy concerns in certain
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Pervasive Therapy: Designing Conversation-Based Interfaces for Ecological Momentary Intervention IEEE Pervasive Comput. (IF 1.6) Pub Date : 2022-10-21 Robert Bowman, Orla Cooney, Anja Thieme, Benjamin R. Cowan, Gavin Doherty
The unmet need for mental health treatment has motivated considerable research on the design and evaluation of pervasive technology to support people’s mental health. An enduring idea is the use of conversation-based interfaces to deliver mental health support, which is now a realistic prospect given their widespread use in consumer devices. The ubiquity and varied characteristics of these devices
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An Opt-in Framework for Privacy Protection in Audio-Based Applications IEEE Pervasive Comput. (IF 1.6) Pub Date : 2022-10-19 Wei-Cheng Wang, Sander De Coninck, Sam Leroux, Pieter Simoens
Installing audio-based applications exposes users to the risk of the data processor extracting additional information beyond the task the user permitted. To solve these privacy concerns, we propose to integrate an on-edge data obfuscation between the audio sensor and the recognition algorithm. We introduce a novel privacy loss metric and use adversarial learning to train an obfuscator. Contrary to
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A Hierarchical Framework for Collaborative Artificial Intelligence IEEE Pervasive Comput. (IF 1.6) Pub Date : 2022-10-13 James L. Crowley, Joëlle Coutaz, Jasmin Grosinger, Javier Vazquez-Salceda, Cecilio Angulo, Alberto Sanfeliu, Luca Iocchi, Anthony G. Cohn
We propose a hierarchical framework for collaborative intelligent systems. This framework organizes research challenges based on the nature of the collaborative activity and the information that must be shared, with each level building on capabilities provided by lower levels. We review research paradigms at each level, with a description of classical engineering-based approaches and modern alternatives
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Personalized Gestures Through Motion Transfer: Protecting Privacy in Pervasive Surveillance IEEE Pervasive Comput. (IF 1.6) Pub Date : 2022-10-13 Si Zuo, Stephan Sigg
With the growing ubiquitousness of pervasive sensing and toward ambient intelligence, pervasive surveillance becomes a very real privacy threat, where private gesture interaction is likely to be observed and automatically interpreted by other (even benign) pervasive intelligence tools. We propose motion transfer, the example-guided modification of motion to translate from default motion and gesture
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Front Cover IEEE Pervasive Comput. (IF 1.6) Pub Date : 2022-09-26
Presents the front cover for this issue of the publication.
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Table of Contents IEEE Pervasive Comput. (IF 1.6) Pub Date : 2022-09-26
Presents the table of contents for this issue of the publication.
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Masthead IEEE Pervasive Comput. (IF 1.6) Pub Date : 2022-09-26
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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Standing on the Platforms of Giants IEEE Pervasive Comput. (IF 1.6) Pub Date : 2022-09-26 Marc Langheinrich
Standardized platforms make it easier for developers to create and sell software. Yet as recent lawsuits have shown (e.g., Epic versus Apple), platform dominance may also lead to anticompetitive practices. How will this play out in the IoT?
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Grand Challenges IEEE Pervasive Comput. (IF 1.6) Pub Date : 2022-09-26 Sarah Clinch, Stephen Intille
The articles in this special section focus on new applications for pervasive computing.
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Designing Apps to Support People With Illness: Using Beneficial Engagement to Avoid an Illness-Centered Experience IEEE Pervasive Comput. (IF 1.6) Pub Date : 2022-09-26 Michael Rogan, Maria Ebling
In this piece, Maria Ebling interviews former colleague Michael Rogan about the experiences that led him to enter the field of digital health. Michael is a neuroscientist, mental health clinician, and digital health specialist at Greenphire who focuses on supporting people dealing with serious illness. Maria is the former CTO of a company Michael co-founded, Medaptive Health. They discuss the challenges
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Get Published in the New IEEE Open Journal of the Computer Society IEEE Pervasive Comput. (IF 1.6) Pub Date : 2022-09-26
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IEEE Computer Society Information IEEE Pervasive Comput. (IF 1.6) Pub Date : 2022-09-26
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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Unboxing the Clinical Health Technology Deployment IEEE Pervasive Comput. (IF 1.6) Pub Date : 2022-09-05 Kevin Doherty, Per Bækgaard, Maria Haahr Nielsen, Alexandra Brandt Ryborg Jønsson, Susanne Reventlow, Jakob E. Bardram
Recent years have seen numerous clinical deployments of digital technologies in support of new practices of healthcare. Mobile devices in particular offer many advantages in regard to their deployment for the purposes of shaping care. Yet, these systems and their implications for practice are not predetermined but crafted, often in unforeseen ways, by design. Amidst growing knowledge of complex clinical
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Grand Challenges for Pervasive Technology to Transform Pervasive Education IEEE Pervasive Comput. (IF 1.6) Pub Date : 2022-09-05 Judy Kay
Technologies already provide people with sophisticated and powerful digital ecosystems for lifelong and life-wide education. This article identifies grand challenges for ubiquitous and pervasive computing researchers to transform future education. It begins with a scenario to characterize learning on a day in 2030. Then it overviews broader educational needs and the pervasive computing elements for
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Mobile Health With Head-Worn Devices: Challenges and Opportunities IEEE Pervasive Comput. (IF 1.6) Pub Date : 2022-08-24 Andrea Ferlini, Dong Ma, Lorena Qendro, Cecilia Mascolo
Monitoring human behavior and health status using mobile devices, a.k.a. Mobile Health, has gained increasing attention from both academia and industry in recent years. It allows imperceptible health tracking from the users and remote health management from the healthcare service providers. Head-worn devices, such as earbuds, glasses, and brain–computer interfaces, exhibit great potential for mobile
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Rethinking Language Interaction With Pervasive Applications and Devices IEEE Pervasive Comput. (IF 1.6) Pub Date : 2022-08-19 Claudio S. Pinhanez
Language-based interaction with pervasive devices today mostly follows a basic command-and-control paradigm, reminiscent of 1960s Star Trek, which is often cumbersome, inadequate, and insufficient. Key causes include an often deceptive portrayal of the language comprehension capabilities of the system and, in many cases, a problematic impersonation of human characters by computers. We argue here that
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Citizen Manufacturing: Unlocking a New Era of Digital Innovation IEEE Pervasive Comput. (IF 1.6) Pub Date : 2022-08-03 Steve Hodges, Mike Fraser
We have all come to expect—if not depend upon—the steady march of technology. All manner of pervasive computing devices, applications, and services increasingly support us at home and work. Thankfully, for those tasked with creating future generations of innovative digital technologies, the design and prototyping process continues to get easier. But for hardware, the transition from device prototype