UBICOMP / ISWC 2021
VIRTUAL WORKSHOPS

These 11 workshops will be held as part of the UbiComp / ISWC 2021 virtual conference:

WellComp 2021: 4th International Workshop on Computing forWell-Being

ORGANIZERS

Tadashi Okoshi, Keio University, Fujisawa, Japan
Jin Nakazawa, Keio University, Fujisawa, Japan

Jeong Gil Ko, Yonsei University, Seoul, Korea

Fahim Kawsar, Nokia Bell Labs, Cambridge, United Kingdom

Susanna Pirttikangas, University of Oulu, Oulu, Finland

WORKSHOP SUMMARY

With the advancements in ubiquitous computing, ubicomp technology has deeply spread into our daily lives, including office work, home and house-keeping, health management, transportation, or even urban living environments. Furthermore, beyond the initial metric of computing, such as “efficiency” and “productivity”, the benefits that people (users) benefit on a well-being perspective based on such ubiquitous technology has been greatly paid attention in the recent years. In our third “WellComp” (Computing for Well-being) workshop, we intensively discuss about the contribution of ubiquitous computing towards users’ well-being that covers physical, mental, and social wellness (and their combinations), from the viewpoints of various different layers of computing. After big success of three previous workshops, with strong international organization members in various ubicomp research domains, WellComp 2021 will bring together researchers and practitioners from the academia and industry to explore versatile topics related to well-being and ubiquitous computing.

Call for Papers

EarComp 2021: Second International Workshop on Earable Computing

ORGANIZERS

Fahim Kawsar, Nokia Bell Labs, Cambridge, United Kingdom
Dr. Robert Harle, Computer Science and Technology, University of Cambridge, Cambridge, United Kingdom
Alessandro Montanari, Nokia Bell Labs, Cambridge, United Kingdom
Chulhong Min, Nokia Bell Labs, Cambridge, United Kingdom

WORKSHOP SUMMARY

The objective of the 2nd ACM International Workshop on Earable Computing (EarComp 2021) is to provide an academic forum and bring together researchers, practitioners, and design experts to discuss how sensory earables technologies have and can complement human sensing research. It also aims to provide a launchpad for bold and visionary ideas and serve as a catalyst for advancements in this emerging new Earable Computing research space.

Call for Papers

6th International Workshop on Mental Health and Well-being: Sensing and Intervention

ORGANIZERS

Varun Mishra, Dartmouth College, Hanover, New Hampshire, United States
Akane Sano, Department of Electrical and Computer Engineering, Rice University, Houston, Texas, United States
Sahiti Kunchay, Pennsylvania State University, State College, Pennsylvania, United States
Saeed Abdullah, Information Sciences and Technology, Pennsylvania State University, University Park, Pennsylvania, United States
Professor Jakob E. Bardram, Department of Health Technology, Technical University of Denmark
Elizabeth L. Murnane, Thayer School of Engineering, Dartmouth College, Hanover, New Hampshire, United States
Tanzeem Choudhury, Cornell University, Ithaca, New York, United States
Mirco Musolesi, Department of Geography, University College London, London, United Kingdom
Giovanna Nunes Vilaza, Copenhagen Center for Health Technology, Danish Technical University DTU, Kongens Lyngby, Denmark
Rajalakshmi Nandakumar, Cornell Tech, New York City, New York, United States
Tauhidur Rahman, College of Information and Computer Sciences, University of Massachusetts Amherst, Amherst, Massachusetts, United States

WORKSHOP SUMMARY

Mental health issues affect a significant portion of the world’s population and can result in debilitating and life-threatening outcomes. To address this increasingly pressing healthcare challenge, there is a need to research novel approaches for early detection and prevention. Toward this, ubiquitous systems can play a central role in revealing and tracking clinically relevant behaviors, contexts, and symptoms. Further, such systems can passively detect relapse onset and enable the opportune delivery of effective intervention strategies. However, despite their clear potential, the uptake of ubiquitous technologies into clinical mental healthcare is slow, and a number of challenges still face the overall efficacy of such technology-based solutions. The goal of this workshop is to bring together researchers interested in identifying, articulating, and addressing such issues and opportunities. Following the success of this workshop for the last five years, we aim to continue facilitating the UbiComp community in developing a holistic approach for sensing and intervention in the context of mental health.

Call for Papers

Making Sense of Emotion Sensing: Workshop on Quantifying Human Emotions

ORGANIZERS

Benjamin Tag, School of Computing and Information Systems, University of Melbourne, Melbourne, Victoria, Australia
Dr Sarah Webber, School of Computing and Information Systems, University of Melbourne, Melbourne, Victoria, Australia
Dr Greg Wadley, School of Computing and Information Systems, The University of Melbourne, Melbourne, Vic, Australia
Vanessa Bartlett, Faculty of Arts, University of Melbourne, Melbourne, Victoria, Australia
Jorge Goncalves, School of Computing and Information Systems, University of Melbourne, Melbourne, Australia
Peter Koval, School of Psychological Sciences, The University of Melbourne, Melbourne, Australia
Petr Slovak, Department of Informatics, King’s College London, London, United Kingdom
Associate Professor Wally Smith, School of Computing & Information Systems, The University of Melbourne, Melbourne, Victoria, Australia
Tom Hollenstein, Department of Psychology, Queen’s University, Kingston, Ontario, Canada
Anna L Cox, UCL Interaction Centre, University College London, London, United Kingdom
Vassilis Kostakos, School of Computing and Information Systems, University of Melbourne, Melbourne, Victoria, Australia

WORKSHOP SUMMARY

The global pandemic and the uncertainty if and when life will return to normality have motivated a series of studies on human mental health. This research has elicited evidence for increasing numbers of anxiety, depression, and overall impaired mental well-being. But, the global COVID-19 pandemic has also created new opportunities for research into quantifying human emotions: remotely, contact-less, in everyday life. The ubiquitous computing community has long been at the forefront of developing, testing, and building user-facing systems that aim at quantifying human emotion. However, rather than aiming at more accurate sensing algorithms, it is time to critically evaluate whether it is actually possible and in what ways it could be beneficial for technologies to be able to detect user emotions. In this workshop, we bring together experts from the fields of Ubiquitous Computing, Human-Computer Interaction, and psychology to – long-overdue – merge their expertise and ask the fundamental questions: how do we make sense of emotion-sensing, can and should we quantify human emotions?

Call for papers

Workshop on Reviewable and Auditable Pervasive Systems (WRAPS)

ORGANIZERS

Dr Chris Norval, Department of Computer Science & Technology, University of Cambridge, Cambridge, United Kingdom
Dr Richard Cloete, Department of Computer Science & Technology, University of Cambridge, Cambridge, United Kingdom
Dr Milan Markovic, University of Aberdeen, Aberdeen, United Kingdom
Dr Iman Naja, University of Aberdeen, Aberdeen, United Kingdom
Dr Kristin B. Cornelius, Information Studies, UCLA, Thousand Oaks, California, United States

WORKSHOP SUMMARY

Pervasive systems are increasingly being deployed in new and innovative ways – be it in our homes, vehicles, or public spaces. Such systems have the potential to bring a wide range of benefits, blending advanced functionality with the physical environment. However, these systems also have the potential to drive real-world consequences through decisions, interactions, or actuations, and there is a real risk that their use can lead to harms (physical injuries, financial loss, or even death). These concerns appear ever-more prevalent, as a growing sense of distrust has led to calls for more transparency and accountability surrounding the emerging technologies that increasingly pervade our world.

A range of things can—and often do—go wrong, be they technical failure, user error, or otherwise. As such, means to effectively review, understand, and act upon the inner workings of emerging technologies is becoming increasingly important. Means for reviewing and auditing how these systems are built/developed and used are crucial to the ability to determine the cause of failures, prevent re-occurrences, and/or to identify parties at fault. Yet, despite the wider landscape of societal and legal pressures for record keeping and increased accountability, implementing such transparency measures faces a range of challenges.

This workshop will bring together a range of perspectives into how we can better audit and understand the complex, sociotechnical systems that increasingly affect us (whether directly or indirectly). From tools for data capture and retrieval, technical/ethical/legal challenges, and early ideas on concepts of relevance – we intend to solicit submissions that help further our understanding of how pervasive systems can be built to be reviewable and auditable, helping them to be more transparent, trustworthy, and accountable.

Call for Papers

9th International Workshop on Human Activity Sensing Corpus and Applications (HASCA)

ORGANIZERS

Dr. Kazuya Murao, Ritsumeikan University, Shiga, Japan
Yu Enokibori, Nagoya University, Nagoya, Japan
Hristijan Gjoreski, Ss. Cyril and Methodius University, Skopje, Macedonia, The Former Yugoslav Republic of
Paula Lago, Kyushu Institute of Technology, Kitakyushu, Fukuoka, Japan
Tsuyoshi Okita, Kyushu Institute of Technology, Kitakyushu city, Japan
Pekka Siirtola, University of Oulu, University of Oulu, Oulu, Finland
Kei Hiroi, Kyoto University, Kyoto, Japan
Dr. Philipp M. Scholl, Augmented Human Lab, Bioengineering , Auckland, New Zealand
Mr Mathias Ciliberto, Wearable Technologies Lab, Sensor Technology Research Centre, University of Sussex, Brighton, East Sussex, United Kingdom
Kenta Urano, Graduate School of Engineering, Nagoya University, Nagoya, Aichi, Japan

WORKSHOP SUMMARY

The recognition of complex and subtle human behaviors from wearable sensors will enable next-generation human-oriented computing in scenarios of high societal value (e.g., dementia care). This will require large-scale human activity corpuses and much improved methods to recognize activities and the context in which they occur. This workshop deals with the challenges of designing reproducible experimental setups, running large-scale dataset collection campaigns, designing activity and context recognition methods that are robust and adaptive, and evaluating systems in the real world. We wish to reflect on future methods, such as lifelong learning approaches that allow open-ended activity recognition.

The Forth Workshop on Eyewear Computing. “Augmenting Social Situations and Democratizing Tools”

ORGANIZERS

Kirill Ragozin, Media Design / Geist, Keio University, Yokohama, Kanagawa, Japan
Kai Kunze, KMD, Keio University, Tokyo, Japan
Teresa Hirzle, Institute of Media Informatics, Ulm University, Ulm, Germany
Benjamin Tag, School of Computing and Information Systems, University of Melbourne, Melbourne, Victoria, Australia
Yuji Uema, JINS Inc., Tokyo, Japan
Enrico Rukzio, University of Ulm, Ulm, Germany
Dr Jamie A Ward, Computing, Goldsmiths University of London, London, United Kingdom

WORKSHOP SUMMARY

Head-worn sensing, especially embedded in augmented and virtual reality (AR/VR) head-mounted displays and smart glasses is currently increasingly moving away from niche applications and small-scale research prototypes to large-scale consumer adoption (e.g. Oculus Quest 2, Hololens 2, J!NS MEME, Bose Frames). As there are more and more commercially available products and unobtrusive affordable research prototypes, we can extend the Eyewear Community to enable large scale in-situ studies as one of the favored research methodologies in Ubiquitous Computing. As there has been a significant progress in sensing technologies, modalities, as well as several large scale dataset recordings, eyewear student competitions and programming seminars.
Significant progress in sensing technologies and modalities have lead to a constant increase of commercially available products and unobtrusive, affordable research prototypes. These recent advances allow to extend the Eyewear Community to enable large scale in-situ studies, as one of the favored research methodologies in Ubiquitous Computing. One manifestation of this can already be observed in large scale dataset recording, eyewear student competitions and programming seminars.

In this workshop we focus on supporting these large-scale uses of eyewear computing, discussing lessons learned from early deployment and how to empower the community with better hardware/software prototyping tools as well as the establishment of open data sets.

SensiBlend: Sensing Blended Experiences in Professional and Social Contexts

ORGANIZERS

Himanshu Verma, TU Delft, Delft, Netherlands
Marios Constantinides, Nokia Bell Labs, Cambridge, United Kingdom
Miss Sailin Zhong, University of Fribourg, Human-IST, Fribourg, Switzerland
Abdallah El Ali, Centrum Wiskunde & Informatica (CWI), Amsterdam, Netherlands
Hamed Alavi, Human-IST, University of Fribourg, Lausanne, Switzerland

WORKSHOP SUMMARY

Unlike traditional workshops, SensiBlend is a living experiment about the future of remote, hybrid, and blended experiences within professional and other social contexts. The interplay of interpersonal relationships with tools and spaces—digital and physical—has been abruptly challenged and fundamentally altered as a result of the COVID-19 pandemic. With this meta-workshop, we seek to scrutinize and advance the role and impact of Ubiquitous Computing in the new “blended” social reality, and raise questions relating to the specific attributes of socio-technical experiences in the future organization of interpersonal relationships. How do we better equip people to deal with blended experiences? What dimensions of socio-technical experiences are at stake? To this end, we will utilize the occasion of a virtual UbiComp in combination with novel remote-working tools and participatory sensing with attendees to collectively examine, discuss, and elicit the potential routes of augmenting social practices in a discourse about the future of blended working, socializing, and living.

Call for Papers

Wild by Design: Workshop on Designing Ubiquitous Health Monitoring Technologies for Challenging Environments

ORGANIZERS

Diogo Branco, Faculdade de Ciências, Universidade de Lisboa, Lisboa, Portugal
Patrick Carrington, Human-Computer Interaction Institute, Carnegie Mellon University, Pittsburgh, Pennsylvania, United States
Dr Silvia Del Din, Translational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, United Kingdom
Afsaneh Doryab, School of Engineering and Applied Science, University of Virginia (SSO), Charlottesville, Virginia, United States
Hristijan Gjoreski, Ss. Cyril and Methodius University, Skopje, Macedonia, The Former Yugoslav Republic of
Tiago Guerreiro, University of Lisbon, Lisbon, Portugal
Dr Roisin McNaney, Faculty of Information Technology , Monash University, Melbourne, Australia
Kyle Montague, Northumbria University, Newcastle upon Tyne, Tyne and Wear, United Kingdom
Alisha Pradhan, College of Information Studies, University of Maryland, College Park, Maryland, United States
André Rodrigues, LASIGE, Universidade de Lisboa, Lisboa, Portugal
Julio Vega, Department of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania, United States

WORKSHOP SUMMARY

Recent years have shown an emergence of ubiquitous technologies that aim to monitor a person’s health in their day to day. However, albeit focused at a real world setting and technically able, most research is still limited in its real-world coverage, suitability, and adoption. In this workshop, we will focus on the challenges of real world health monitoring deployments to produce forward-looking insights that can shape the way researchers and practitioners think about health monitoring, in platforms and systems that account for the complex environments where they are bound to be used.

The First Workshop on Multiple Input Modalities and Sensations for VR/AR Interactions (MIMSVAI)

ORGANIZERS

Prof. Chuang-Wen, You Interdisciplinary Program of Technology and Art, National Tsing Hua University, Hsinchu, Taiwan
Yi-Chao Chen, Computer Science and Engineering, Shanghai Jiao Tong University, Shanghai, China
Hsin-Ruey Tsai, National Chengchi University, Taipei, Taiwan
Prof. Bin Sheng, Department of Computer Science and Engineering, Shanghai Jiao Tong University, Shanghai, Shanghai, China

WORKSHOP SUMMARY

With the advance of VR/AR technology, more and more VR/AR applications are emerging and have been popular among new users. Users interact with both physical or virtual worlds through multiple input modalities and sensations to create an immersive VR/AR experience. However, a lack of robust and intuitive interaction interfaces and realistic sensations hinders users’ experience for achieving a fascinating acceptance in various application areas of VR/AR interactions. This workshop discusses the challenges and applications of designing a higher coherence between different input modalities and sensations to offer more engaging VR/AR experiences, which can create opportunities for the researchers from both UbiComp and VR/AR fields to jointly discuss and brainstorm new directories of designing new input modalities and sensations for VR/AR interactions.

CPD 2021: The 4th Workshop on Combining Physical and Data-Driven Knowledge in Ubiquitous Computing

ORGANIZERS

Dr. Wenbo Ding, Tsinghua University, Tsinghua-Berkeley Shenzhen Institute, Shenzhen, Guangdong, China
Chenshu Wu, University of Maryland, College Park, Maryland, United States
Dr. Weitao Xu, City University of Hong Kong, Hong Kong, China

WORKSHOP SUMMARY

In the real-world ubiquitous computing systems, it is difficult to require a significant amount of data to obtain accurate information through pure data-driven methods. The performance of data-driven methods relies on the quantity and ‘quality’ of data. They perform well when a sufficient amount of data is available, which is regarded as ideal conditions. However, in real-world systems, collecting data can be costly or impossible due to practical limitations. On the other hand, it is promising to utilize physical knowledge to alleviate these issues of data limitation. The physical knowledge includes domain knowledge from experts, heuristics from experiences, analytic models of the physical phenomena and etc.
The goal of the workshop is to explore the intersection between (and the combination of) data and physical knowledge. The workshop aims to bring together domain experts that explore the physical understanding of the data, practitioners that develop systems
and the researchers in traditional data-driven domains. The workshop welcomes papers, which focuses on addressing these issues in different applications/domains as well as algorithmic and systematic approaches to applying physical knowledge. Therefore, we further seek to develop a community that systematically analyzes
the data quality regarding inference and evaluates the improvements from physical knowledge. Preliminary and on-going work is welcomed.

Call for Papers

IMPORTANT DATES

Virtual Conference:
September 21-26, 2021

Workshops:
September 25-26, 2021

CONTACT

These 9 workshops will be held as part of the UbiComp / ISWC 2020 virtual conference:

Saturday’s Workshops


W1 HASCA 2020

8th International Workshop on Human Activity Sensing Corpus and Applications
http://hasca2020.hasc.jp

W2 BEYOND STEPS

Challenges and Opportunities in Fitness Tracking
https://beyondsteps2020.github.io

W4 UBITTENTION 2020

5th International Workshop on Smart & Ambient Notification and Attention Management
https://www.ubittention.org/2020/

W5 MENTAL HEALTH AND WELL-BEING

5th International Workshop on Mental Health And Well-Being: Sensing And Intervention
https://ubicomp-mental-health.github.io

Sunday’s Workshops


W7 APPLENS 2020

3rd International Workshop on Mining and Learning from Smartphone Apps
http://www.shazhao.net/applens2020/

W8 UPA 2020

5th International Workshop on Ubiquitous Personal Assistance
https://upa20.weebly.com

W9 CPD 2020

3rd Workshop on Combining Physical and Data-driven Knowledge in Ubiquitous Computing
https://ubicomp-cpd.com/2020

W11 CML-IOT 2020

2nd Workshop on Continual and multimodal learning for Internet of Things
https://cmliot2020.github.io

W13 WELLCOMP 2020

3rd International Workshop on Computing for Well-Being
http://wellcomp.org/2020

How To Submit

Workshop papers for the accepted workshops should be submitted electronically through https://new.precisionconference.com/submissions.

  • Please select “SIGCHI” as Society, “UbiComp / ISWC 2020” as Conference / Journal and “Ubicomp 2020 / ISWC Workshop: xyz” as the track in the submission page (with “xyz” being the name of the selected workshop).

  • In the submission page, please enter the title, authors, and abstract of the paper, and upload your workshop paper, and any supplemental files as required by the specific workshop.

  • Each workshop paper (independently of the selected workshop) will have to use the same ACM template detailed in the template information page.

If you have any further inquiries, please contact workshops-2020@iswc.hosting2.acm.org, or the organizers of the specific workshop (see below).

Publication Date

AUTHORS TAKE NOTE: The official publication date is the date the proceedings are made available in the ACM Digital Library. This date may be up to two weeks prior to the first day of the UbiComp / ISWC 2020 conference. The official publication date affects the deadline for any patent filings related to published work. (For those rare conferences whose proceedings are published in the ACM Digital Library after the conference is over, the official publication date remains the first day of the conference.)

Saturday September 12, 2020

HASCA 2020: 8th International Workshop On Human Activity Sensing Corpus And Applications

http://hasca2020.hasc.jp

ORGANIZERS

Kazuya Murao (Ritsumeikan University, Japan), Yu Enokibori (Nagoya University, Japan), Hristijan Gjoreski (Ss. Cyril and Methodius University, Macedonia), Paula Lago (Kyushu Institute of Technology, Japan), Tsuyoshi Okita (Kyushu Institute of Technology, Japan), Pekka Siirtola (University of Oulu, Finland), Kei Hiroi (Nagoya University, Japan), Philipp M. Scholl (University of Freiburg, Germany), Mathias Ciliberto (University of Sussex, UK)

WORKSHOP SUMMARY

The recognition of complex and subtle human behaviors from wearable sensors will enable next-generation human-oriented computing in scenarios of high societal value (e.g., dementia care). This will require large-scale human activity corpuses and much improved methods to recognize activities and the context in which they occur.

This workshop deals with the challenges of designing reproducible experimental setups, running large-scale dataset collection campaigns, designing activity and context recognition methods that are robust and adaptive, and evaluating systems in the real world. We wish to reflect on future methods, such as lifelong learning approaches that allow open-ended activity recognition.

The objective of this workshop is to share the experiences among current researchers around the challenges of real-world activity recognition, the role of datasets and tools, and breakthrough approaches towards open-ended contextual intelligence. This year HASCA will also welcome papers from participants to the Third Sussex-Huawei Locomotion and Transportation Recognition Competition (http://www.shl-dataset.org/activity-recognition-challenge-2020/) as part of a special session.

Beyond Steps: Challenges And Opportunities In Fitness Tracking

https://beyondsteps2020.github.io

ORGANIZERS

Rushil Khurana (CMU, USA), Abdelkareem Bedri (CMU, USA), Patrick Carrington (CMU, USA), Daniel A. Epstein (UC Irvine, USA), Rúben Gouveia (University of Twente, The Netherlands), Jochen Meyer (OFFIS Institute for Information Technology, Germany), Julian Ramos (CMU, USA), Jason Wiese (University of Utah, USA), Paweł Woźniak (Utrecht University, The Netherlands)

WORKSHOP SUMMARY

The quantified-self is a positive and prevalent aspect of our culture that has progressed during the last decade propelled by technological advances in health and fitness tracking. Prior research has shown that self tracking has a myriad of benefits. And we have the ability to sense and track various aspects of fitness and well-being. However one key challenge that remains is what data needs to be shown to the user, and how to present it to the user. Moreover, when is the right time to deliver key information to the user. Secondly, we have noticed that self-monitoring and tracking research has mostly evolved in isolation i.e., researchers have separately studied or built systems for various aspects of fitness like exercise tracking, diet or sleep monitoring. While in reality many of these areas are intertwined and depend on each other: Poor sleep can lead to overeating and consequently weight gain.

In this workshop, we propose to highlight and address these two challenges and explore opportunities to expand beyond the current paradigm of single health factors tracking to a more comprehensive fitness tracking.

UbiTtention 2020: 5th International Workshop On Smart & Ambient Notification And Attention Management

https://www.ubittention.org/2020

ORGANIZERS

Anja Exler (Karlsruhe Institute of Technology (KIT), Germany), Alexandra Voit (Adesso AG, Germany), Martin Gjoreski (Jozef Stefan Institute, Slovenia), Tine Kolenik (Jozef Stefan Institute, Slovenia), Niels van Berkel (Aalborg University, Denmark), Tadashi Okoshi (Keio University, Japan), Veljko Pejovic (University of Ljubljana, Slovenia)

WORKSHOP SUMMARY

In the advancing ubiquitous computing, users are increasingly confronted with a tremendous amount of information proactively provided via notifications from versatile applications and services, through multiple devices and screens in their environment. Thus, human’s attention has been getting a new significant bottleneck. Further, the latest computing trends with emerging new devices including versatile IoT devices, and contexts, such as smart cities, attention representation, sensing, prediction, analysis and adaptive behavior in the computer systems, are needed in our computing systems.

Following the successful UbiTtention 2016 to 2019 workshops, the UbiTtention 2020 workshop brings together researchers and practitioners from academia and industry to explore the management of human attention and smart and ambient notifications with versatile devices and situations to overcome information overload and overchoice. In this workshop, we want to focus on a larger understanding of the different roles notifications can play in a wide variety of computing environments including the office, the home, in cars, and other smart environments. In addition, we introduce an open-data machine learning challenge to advance the field of cognitive load inference in ubiquitous computing. The dataset is the first labelled dataset for cognitive load monitoring with a wristband and it will be fully released after the challenge.

5th International Workshop On Mental Health And Well-Being: Sensing And Intervention

https://ubicomp-mental-health.github.io

ORGANIZERS

Varun Mishra (Dartmouth College, USA), Akane Sano (Rice University, USA), Saeed Abdullah (Penn State, USA), Jakob E. Bardram (TU Denmark, Denmark), Sandra Servia (University of Cambridge, UK), Elizabeth L. Murnane (Stanford University, USA), Tanzeem Choudhury (Cornell University, USA), Mirco Musolesi (UC London, UK), Giovanna Nunes Vilaza (DTU, Denmark), Rajalakshmi Nandakumar (Cornell Tech, USA), Tauhidur Rahman (UMass Amherst, USA)

WORKSHOP SUMMARY

Mental health issues affect a significant portion of the world’s population and can result in debilitating and life-threatening outcomes. To address this increasingly pressing healthcare challenge, there is a need to research novel approaches for early detection and prevention. Toward this, ubiquitous systems can play a central role in revealing and tracking clinically relevant behaviors, contexts, and symptoms. Further, such systems can passively detect relapse onset and enable the opportune delivery of effective intervention strategies.

However, despite their clear potential, the uptake of ubiquitous technologies into clinical mental healthcare is rare, and a number of challenges still face the overall efficacy of such technology-based solutions. The goal of this workshop is to bring together researchers interested in identifying, articulating, and addressing such issues and opportunities. Following the success this workshop in the last four years, we aim to continue facilitating the UbiComp community in developing novel approaches for sensing and intervention in the context of mental health.

Sunday September 13, 2020

AppLens 2020: 3rd International Workshop On Mining And Learning From Smartphone Apps

http://www.shazhao.net/applens2020/

ORGANIZERS

Sha Zhao (Zhejiang University, China), Yong Li (Tsinghua University, China), Sasu Tarkoma (University of Helsinki, Finland), Zhiwen Yu (Northwestern Polytechnical University, China), Anind Dey (University of Washington, USA), and Gang Pan (Zhejiang University, China)

WORKSHOP SUMMARY

Smartphone apps are becoming ubiquitous in our everyday life. Apps on smartphones sense users’ behaviors and activities, providing a lens for understanding users, which is an important point in the community of ubiquitous computing.

The 3rd International workshop AppLens 2020 at UbiComp/iSWC 2020 will fosters discussions covering methodologies and tools, theories and models, design, descriptions or analysis of smartphone app data. We seek participants interested in profiling users from their use of smartphone apps, discovering cultural and social phenomenon by analyzing app usage, modeling app usage behaviors, studying smartphone apps, user privacy issues, etc.

In order to attract more participants, we will open two app datasets consisting of app usage records. This workshop will include paper sessions, invited talks, a panel session, and Best Paper Award, to provide a forum for the participants to communicate and discuss issues to promote the emerging research field. Moreover, we will select a few accepted papers to be extended and published in a prestigious journal special issue.

AppLens 2020: 3rd International Workshop On Mining And Learning From Smartphone Apps

http://www.shazhao.net/applens2020/

ORGANIZERS

Sha Zhao (Zhejiang University, China), Yong Li (Tsinghua University, China), Sasu Tarkoma (University of Helsinki, Finland), Zhiwen Yu (Northwestern Polytechnical University, China), Anind Dey (University of Washington, USA), and Gang Pan (Zhejiang University, China)

WORKSHOP SUMMARY

Smartphone apps are becoming ubiquitous in our everyday life. Apps on smartphones sense users’ behaviors and activities, providing a lens for understanding users, which is an important point in the community of ubiquitous computing.

The 3rd International workshop AppLens 2020 at UbiComp/iSWC 2020 will fosters discussions covering methodologies and tools, theories and models, design, descriptions or analysis of smartphone app data. We seek participants interested in profiling users from their use of smartphone apps, discovering cultural and social phenomenon by analyzing app usage, modeling app usage behaviors, studying smartphone apps, user privacy issues, etc.

In order to attract more participants, we will open two app datasets consisting of app usage records. This workshop will include paper sessions, invited talks, a panel session, and Best Paper Award, to provide a forum for the participants to communicate and discuss issues to promote the emerging research field. Moreover, we will select a few accepted papers to be extended and published in a prestigious journal special issue.

AppLens 2020: 3rd International Workshop On Mining And Learning From Smartphone Apps

http://www.shazhao.net/applens2020/

ORGANIZERS

Sha Zhao (Zhejiang University, China), Yong Li (Tsinghua University, China), Sasu Tarkoma (University of Helsinki, Finland), Zhiwen Yu (Northwestern Polytechnical University, China), Anind Dey (University of Washington, USA), and Gang Pan (Zhejiang University, China)

WORKSHOP SUMMARY

Smartphone apps are becoming ubiquitous in our everyday life. Apps on smartphones sense users’ behaviors and activities, providing a lens for understanding users, which is an important point in the community of ubiquitous computing.

The 3rd International workshop AppLens 2020 at UbiComp/iSWC 2020 will fosters discussions covering methodologies and tools, theories and models, design, descriptions or analysis of smartphone app data. We seek participants interested in profiling users from their use of smartphone apps, discovering cultural and social phenomenon by analyzing app usage, modeling app usage behaviors, studying smartphone apps, user privacy issues, etc.

In order to attract more participants, we will open two app datasets consisting of app usage records. This workshop will include paper sessions, invited talks, a panel session, and Best Paper Award, to provide a forum for the participants to communicate and discuss issues to promote the emerging research field. Moreover, we will select a few accepted papers to be extended and published in a prestigious journal special issue.

CML-IOT 2020: 2nd Workshop On Continual And Multimodal Learning For Internet Of Things

https://cmliot2020.github.io

ORGANIZERS

Susu Xu (Qualcomm AI Research, USA), Tong Yu (Samsung Research America, USA), Shijia Pan (UC Merced, USA)

WORKSHOP SUMMARY

With the deployment of the Internet of Things (IoT), a large number of sensors are connected to the Internet, providing large-amount, streaming, and multimodal data. These data have distinct statistical characteristics over time and sensing modalities, which are hardly captured by traditional learning methods. Continual and multimodal learning allows integration, adaptation, and generalization of the knowledge learned from experiential data collected from distributed and heterogeneous IoT devices to new situations. Therefore, continual and multimodal learning is an important step to enable efficient ubiquitous computing on IoT devices.

We aim at bringing together researchers from different areas to establish a multidisciplinary community and share the latest research in continual learning and multimodal learning for various IoT applications.

WellComp 2020: 3rd International Workshop On Computing For Well-Being

http://wellcomp.org/2020/

ORGANIZERS

Tadashi Okoshi (Keio University, Japan), Jin Nakazawa (Keio University, Japan), JeongGil Ko (Yonsei University, Republic of Korea), Fahim Kawsar (Nokia Bell Labs, UK), Susanna Pirttikangas (University of Oulu, Finland)

WORKSHOP SUMMARY

We have been experiencing that much of the influence from ubicomp technologies are both contributing to a better quality of life (QoL) of our individual and organizational lives, and causing new types of stress and pain at the same time. The term “well-being” has recently gained attention as a term that covers our general happiness and even more concrete good conditions in our lives, such as physical, psychological, and social wellness. Active research in various ubicomp research areas (systems, mobile/wearable sensing, persuasive apps, different viewpoints and layers of computing.

After two consecutive successful workshops in 2019 and 2020, WellComp2020 will share the latest research in such various areas related to users’ physical, mental, and social well-being. Especially this year’s special attention will be paid for “Well-Being Metrics” and “Well-Being Intervention towards behavior change”.

IMPORTANT DATES

Submission deadline:
July 06, 2020 at 11:59 PM HAST


Notification date:
July 24, 2020


Camera-ready deadline:
July 31, 2020


Virtual Conference:
September 12-16, 2020