UbiComp / ISWC 2023
Workshops and Symposia
UbiComp/ISWC 2023 features 3 Symposia and 8 Workshops that will be running on Sunday October 8 and Monday October 9, before the start of the main conference.
Workshops and Symposia provide an effective forum for attendees with common interests and are a great opportunity for community building. They can vary in program length, size, and format depending on their specific objectives.
*Workshops and Symposia, as any other track at UbiComp/ISWC 2023, will be in-person only.
More details for exceptions can be found here.
Registration is open for Workshops and Symposia: https://cvent.me/Wnn01G
Summary of Key Dates
- May 26-June 15, 2023: Submission deadline for Workshop and Symposium papers
-
June 30, 2023: Notification of accepted papers by each Workshop or Symposium
-
July 31, 2023: Deadline for camera-ready version of papers to include in the ACM DL
- October 8-9 , 2023: Workshops and Symposia in Cancun, Mexico
Symposia (Oct 8th, 2023)
Organizers
- Laura S. Gaytán Lugo, Universidad de Colima, Coquimatlán, Colima, Mexico
- Pedro C. Santana-Mancilla, Universidad de Colima, Colima, Colima, Mexico
- Soraia Prietch, Universidade Federal de Mato Grosso, Rondonópolis, Brazil
- Francisco J. Gutiérrez, University of Chile, Santiago, Chile
- J. Alfredo Sánchez, LANIA, Xalapa, Veracruz, Mexico
- Cuauhtémoc Rivera-Loaiza, UMSNH, Morelia, Michoacán, Mexico
- Akhil Mathur, Nokia Bell Labs, Cambridge, UK
- Neha Kumar, Georgia Tech, Atlanta, USA
Symposium Homepage
Call for Papers
Abstract
We propose a workshop to foster research on inclusive and equitable ubiquitous computing in Latin America (LATAM). The meeting is inspired by the ACM SIGCHI Across Borders Initiative, the 1st CSCW@LatAm Research Catalyst Workshop, and ACM Future of Computing Academy efforts.
We aim to: 1) discuss opportunities and challenges of defining and accomplishing inclusive and equitable ubiquitous computing centered on LATAM; 2) collaboratively mentor emerging related projects focused on LATAM; 3) create a space that encourages cross-country collaborations to address together common research challenges, whilst also strengthening the links among all the members, regardless of their level of expertise in the field; and, 4) provide a forum for dialogue between local communities in Latin America (e.g., educational and health workers, NGOs) and UbiComp researchers, with the aim of identifying pathways for codesign-focused collaborations between diverse groups of stakeholders on problems of public interest.
Organizers
- Rajesh Krishna Balan, Singapore Management University, asset-2023@ubicomp.org
Abstract
More information on the dedicated ASSET page.
Symposia (Oct 9th, 2023)
Organizers
- Robert Harle, Google & University of Cambridge, UK
- Shyam Tailor, Google
- Yojan Patel, Google
Abstract
Generative models – most prominently Large language Models (LLMs) for images and text – have been a major computing advance of 2023. For Ubiquitous Computing, these models offer tantalizing opportunities for personalization, data interpretation and more complex and meaningful interactions with humans.
In this new era of AI there are many open problems, including how we assess them and how we deploy them both efficiently and safely. This Symposium aims to bring together both industrial and academic Ubiquitous Computing, researchers to explore these issues in a format that is focused on encouraging discussion and debate.
More information on the dedicated GenAI4PC page.
Workshops (Oct 8th, 2023)
Full day workshop from 9am – 5:30pm
Organizers
- Dr. Kazuya Murao, Ritsumeikan University, Shiga, Japan
- Yu Enokibori Nagoya, University, Nagoya, Japan
- Hristijan Gjoreski, Ss. Cyril and Methodius University in Skopje, Skopje, Macedonia, The Former Yugoslav Republic of
- Paula Lago, Concordia University, Montreal, Quebec, Canada
- Tsuyoshi Okita, Kyushu Institute of Technology, Kitakyushu city, Japan
-
Pekka Siirtola, University of Oulu, Oulu, Finland
Kei Hiroi, Kyoto University, Kyoto, Japan
Dr. Philipp M. Scholl, University of Freiburg, Freiburg, Germany
Dr 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 - Kei Hiroi, Kyoto University, Kyoto, Japan
- Dr. Philipp M. Scholl, University of Freiburg, Freiburg, Germany
- Dr 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’s Homepage
Call for papers
Abstract
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 fifth Sussex-Huawei Locomotion and Transportation Recognition Competition (http://www.shl-dataset.org/activity-recognition-challenge-2023/) in a special session.
Full day workshop from 9am – 5:30pm
Organizers
- Daniel A. Adler, Information Science, Cornell Tech, New York, New York, United States
- Xuhai Xu, Information School, University of Washington, Seattle, Washington, United States
- Varun Mishra, Northeastern University, Boston, Massachusetts, United States, v.mishra@northeastern.edu
- Akane Sano, Department of Electrical and Computer Engineering, Rice University, Houston, Texas, United States
- Sahiti Kunchay, College of Information Sciences and Technology, The Pennsylvania State University, State College, Pennsylvania, United States
- Saeed Abdullah, Information Sciences and Technology, Pennsylvania State University, University Park, Pennsylvania, United States
- Jakob E. Bardram, Department of Health Technology, Technical University of Denmark, Kgs. Lyngby, 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 Computer Science, University College London, London, United Kingdom
- Yiran Zhao, Information Science, Cornell University, New York, New York, United States
- Rajalakshmi Nandakumar, Cornell Tech, New York City, New York, United States
- Tauhidur Rahman Halıcıoğlu, Data Science Institute, University of California San Diego, San Diego, California, United States
- Zachary D. King, Rice University, Houston, Texas, United States
- Manasa Kalanadhabhatta, Manning College of Information and Computer Sciences, University of Massachusetts Amherst, Amherst, Massachusetts, United States
- Rony Krell, Digital Signals Group, Optum Labs, Minnetonka, Minnesota, United States, rony.krell@optum.com
- Han Zhang, Allen School of Computer Science and Engineering, University of Washington, Seattle, Washington, United States
Call for papers
Workshop Homepage
Abstract
Mental health and well-being are critical components of overall health: suffering from a mental illness can be both debilitating and life-threatening for individuals experiencing symptoms. Detecting symptoms of mental illness early-on and delivering interventions to prevent and/or manage symptoms can improve health and well-being outcomes. Ubiquitous systems are increasingly playing a central role in uncovering clinically relevant contextual information on mental health. Research shows that these systems can passively measure symptoms and enable opportunities to deliver intervention. However, despite this potential, the uptake of ubiquitous technologies into mental healthcare has been slow, and a number of challenges need to be addressed towards the effective implementation of these tools. The goal of this workshop is to bring together researchers, practitioners, and industry professionals interested in identifying, articulating, and addressing such issues and opportunities. Following the success of this workshop for the last seven years, we aim to continue facilitating the UbiComp community in both the conceptualization, translation, and implementation of novel approaches for sensing and intervention in the context of mental health.
Full day workshop from 9am – 5:30pm
Organizers
- Yuanzhang Xiao, University of Hawaii at Manoa, Honolulu, Hawaii, United States
- Jie Xu, Department of Electrical and Computer Engineering, University of Miami, Coral Gables, Florida, United States
- Weiwei Jiang, Tsinghua University, Beijing, China
Call for papers & Homepage: TBA
Abstract
With the proliferation of connected devices with advanced sensing, computing, and communication capabilities, ubiquitous computing systems have become prevalent nowadays. They have the potential to revolutionize various industries by enabling new applications and services (e.g., patient monitoring, personalized recommendations, traffic control, home energy management). However, in real-world ubiquitous computing systems, data collection can be expensive or impossible. Due to the limited quantity and quality of data available, pure data-driven methods may not perform well. A promising approach to overcome these limitations is to utilize physical knowledge, including domain knowledge from experts, heuristics based on experience, and analytic models of physical phenomena.
Half day workshop from 9am – 12:30pm
Organizers:
- Oscar Mayora Fondazione, Bruno Kessler Research Institute, Trento, Italy
- Bert Arnrich, Digital Health – Connected Healthcare, Hasso Plattner Institute, Potsdam, Germany
- Tiago Guerreiro, LASIGE Lab, Faculty of Sciences, University of Lisbon, Lisbon, Portugal
- Filipa Ferreira-Brito, LASIGE Lab, Faculty of Sciences, University of Lisbon, Lisbon, Portugal
- Mitja Luštrek, Department of Intelligent Systems, Jožef Stefan Institute, Ljubljana, Slovenia
- Hristijan Gjoreski, Ss. Cyril and Methodius University in Skopje, Skopje, Macedonia, The Former Yugoslav Republic of
Workshop’s Homepage
Call for Papers
Abstract:
As in prescribable medical drug-based therapies, Digital Therapeutics (DTx) solutions introduce the use of software as 1) an active ingredient implemented as digital interventions to improve patients’ condition; and 2) as the excipient through which the intervention is conveyed to the patient. The most common DTx solutions implemented until today deal with the use of software-based solutions for dealing with mental health conditions. However, the potential of DTx is envisioned to grow to treat other health conditions with a number of technologies that still have not been duly explored. The objective of this workshop is to discuss the opportunities, barriers, and challenges of future DTx, the envisioned future use-cases, and the technologies with high potential to drive the uptake of these technologies, and this way to position this field as a solid complement of today’s therapeutic approaches for dealing with different health conditions.
Workshops (Oct 9th, 2023)
Full day workshop from 9am – 5:30pm
Organizers
- Sofia Yfantidou, Aristotle University of Thessaloniki, Thessaloniki, Greece
- Dimitris Spathis, Nokia Bell Labs, Cambridge, Cambridgeshire, United Kingdom, University of Cambridge, Cambridge, United Kingdom
- Marios Constantinides ,Nokia Bell Labs, Cambridge, United Kingdom Computer Science, University College London, London, United Kingdom
- Tong Xia, Computer Lab, University of Cambridge, Cambridge, United Kingdom
- Niels van Berkel, Department of Computer Science, Aalborg University, Aalborg, Den
Call for papers
Workshop’s Homepage
Abstract
How can we ensure that Ubiquitous Computing (UbiComp) research outcomes are both ethical and fair? While fairness in machine learning (ML) has gained traction in recent years, fairness in UbiComp remains unexplored. This workshop aims to discuss fairness in UbiComp research and its social, technical, and legal implications. From a social perspective, we will examine the relationship between fairness and UbiComp research and identify pathways to ensure that ubiquitous technologies do not cause harm or infringe on individual rights. From a technical perspective, we will initiate a discussion on data collection and modeling practices to develop bias mitigation approaches tailored to UbiComp research. From a legal perspective, we will examine how new policies and regulations shape our community’s work and future research. We aim to foster a vibrant community centered around the topic of responsible UbiComp, while also charting a clear path for future research endeavours in this field.
Full day workshop from 9am – 5:30pm
Organizers
- Shkurta Gashi, ETH AI Center, ETH Zürich, Zürich, Switzerland
- Dimitris Spathis, Nokia Bell Labs, Cambridge, Cambridgeshire, United Kingdom
- Dr. Ting Dang, Nokia Bell Labs, Cambridge, United Kingdom
- Alexander Hoelzemann, Ubiquitous Computing, University of Siegen, Siegen, Germany
Call for papers
Workshops’s Homepage
Abstract
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, and even urban living environments. Furthermore, beyond the initial metrics commonly applied in computing, such as “efficiency” and “productivity”, the benefits that people (users) get from well-being-aware ubiquitous technology have been greatly emphasized in recent years. Through the sixth “WellComp” (Computing for Well-being) workshop, we will discuss and debate the contribution of ubiquitous computing towards users’ well-being covering physical, mental, and social wellness (and the combinations thereof), from the viewpoints of various different layers of computing. Organized by a diverse international team of ubicomp researchers, WellComp 2023 will bring together researchers and practitioners from both academia and industry to explore versatile topics related to well-being and ubiquitous computing.
Full day workshop from 9am – 5:30pm
Organizers
- Chuang-Wen You, Graduate Institute of Art and Technology, National Tsing Hua University, Hsinchu, Taiwan
- Yi-Chao Chen, Computer Science and Engineering, Shanghai Jiao Tong University, Shanghai, China
- Liwei Chan, National Chiao Tung University, Hsinchu, Taiwan
- Min-Chun Hu, Computer Science, National Tsing Hua University, Hsinchu, Taiwan
- Mr Wei Sun, Computer Science department, University of Texas at Austin, Austin , Texas, United States
- Yun-Jui Lee, Corma New Media, Taipei, Taiwan
Call for papers
Workshop’s Homepage
Abstract
Rapid technological advances are expanding the practical applicability of virtual reality and/or augmented reality (VR/AR); however, the degree to which new users are able to interact with these technologies is limited by current input modalities. Gaining an intuitive grasp of VR/AR applications requires that users be immersed in the virtual environment, which in turn depends on the integration of multiple realistic sensory feedback mechanisms. This workshop will bring together researchers from the fields of UbiComp and VR/AR to explore alternative input modalities and sensory feedback systems to facilitate the design of coherent and engaging VR/AR experiences comparable to those in the real world.
Half day workshop from 9am – 12:30pm
Organizers
- Andrea Ferlini, Nokia Bell Labs, Cambridge, United Kingdom
- Alessandro Montanari, Nokia Bell Labs, Cambridge, United Kingdom
- Nirupam Roy, Computer Science, University of Maryland College Park, College Park, Maryland, United States
- Katayoun Farrahi, University of Southampton, Southampton, Southampton, United Kingdom
Call for papers
Workshop’s Homepage
Abstract
The objective of the 4th ACM International Workshop on Earable Computing (EarComp 2023) 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.
This workshop has been canceled and will not happen at UbiComp/ISWC 2023
Organizers
- Neelima Sailaja, Horizon Digital Economy Hub, University of Nottingham, Nottingham, United Kingdom
- Teresa Castle-Green, Mixed Reality Lab, School of Computer Science, University of Nottingham, Nottingham, Nottinghamshire, United Kingdom
- Paul Coulton, LICA, Lancaster University, Lancaster, United Kingdom
- Michael Stead, Imagination, Lancaster University, Lancaster, United Kingdom
- Joseph Lindley, Lancaster University, Lancaster, Lancashire, United Kingdom
- Dr. Lachlan D. Urquhart, School of Law, University of Edinburgh, Edinburgh , United Kingdom
- Dr. Dimitrios Paris Darzentas, Applied Informatics – School of Computing, Engineering and the Built Environment, Edinburgh Napier University, Edinburgh, United Kingdom
Workshop’s Homepage
Abstract
IoT products are increasingly becoming the default, with non-IoT versions of common hardware (e.g., TVs and printers) harder to find. Alongside this adoption surge, lack of support, outdated security, and planned obsolescence present concerning sustainability issues, contribute to eWaste growth and widen digital divides globally. This workshop aims to present and discuss legal, social, technical, and design aspects of repair practices, engaging the Ubicomp community by exploring challenges and opportunities for more repairable IoT devices. Focusing on diverse repair scenarios, the workshop seeks to establish a concise, holistic, and inclusive agenda for this research domain’s future. Participants will map key research questions to support the movement towards more repairable technology.
Organizers
- Dr. Kazuya Murao, Ritsumeikan University, Shiga, Japan
- Yu Enokibori Nagoya, University, Nagoya, Japan
- Hristijan Gjoreski, Ss. Cyril and Methodius University in Skopje, Skopje, Macedonia, The Former Yugoslav Republic of
- Paula Lago, Concordia University, Montreal, Quebec, Canada
- Tsuyoshi Okita, Kyushu Institute of Technology, Kitakyushu city, Japan
-
Pekka Siirtola, University of Oulu, Oulu, Finland
Kei Hiroi, Kyoto University, Kyoto, Japan
Dr. Philipp M. Scholl, University of Freiburg, Freiburg, Germany
Dr 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 - Kei Hiroi, Kyoto University, Kyoto, Japan
- Dr. Philipp M. Scholl, University of Freiburg, Freiburg, Germany
- Dr 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’s Homepage
Call for papers
Abstract
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 fifth Sussex-Huawei Locomotion and Transportation Recognition Competition (http://www.shl-dataset.org/activity-recognition-challenge-2023/) in a special session.
Organizers
- Sofia Yfantidou, Aristotle University of Thessaloniki, Thessaloniki, Greece
- Dimitris Spathis, Nokia Bell Labs, Cambridge, Cambridgeshire, United Kingdom, University of Cambridge, Cambridge, United Kingdom
- Marios Constantinides ,Nokia Bell Labs, Cambridge, United Kingdom Computer Science, University College London, London, United Kingdom
- Tong Xia, Computer Lab, University of Cambridge, Cambridge, United Kingdom
- Niels van Berkel, Department of Computer Science, Aalborg University, Aalborg, Den
Call for papers
Workshop’s Homepage
Abstract
How can we ensure that Ubiquitous Computing (UbiComp) research outcomes are both ethical and fair? While fairness in machine learning (ML) has gained traction in recent years, fairness in UbiComp remains unexplored. This workshop aims to discuss fairness in UbiComp research and its social, technical, and legal implications. From a social perspective, we will examine the relationship between fairness and UbiComp research and identify pathways to ensure that ubiquitous technologies do not cause harm or infringe on individual rights. From a technical perspective, we will initiate a discussion on data collection and modeling practices to develop bias mitigation approaches tailored to UbiComp research. From a legal perspective, we will examine how new policies and regulations shape our community’s work and future research. We aim to foster a vibrant community centered around the topic of responsible UbiComp, while also charting a clear path for future research endeavours in this field.
Organizers
- Daniel A. Adler, Information Science, Cornell Tech, New York, New York, United States
- Xuhai Xu, Information School, University of Washington, Seattle, Washington, United States
- Varun Mishra, Northeastern University, Boston, Massachusetts, United States, v.mishra@northeastern.edu
- Akane Sano, Department of Electrical and Computer Engineering, Rice University, Houston, Texas, United States
- Sahiti Kunchay, College of Information Sciences and Technology, The Pennsylvania State University, State College, Pennsylvania, United States
- Saeed Abdullah, Information Sciences and Technology, Pennsylvania State University, University Park, Pennsylvania, United States
- Jakob E. Bardram, Department of Health Technology, Technical University of Denmark, Kgs. Lyngby, 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 Computer Science, University College London, London, United Kingdom
- Yiran Zhao, Information Science, Cornell University, New York, New York, United States
- Rajalakshmi Nandakumar, Cornell Tech, New York City, New York, United States
- Tauhidur Rahman Halıcıoğlu, Data Science Institute, University of California San Diego, San Diego, California, United States
- Zachary D. King, Rice University, Houston, Texas, United States
- Manasa Kalanadhabhatta, Manning College of Information and Computer Sciences, University of Massachusetts Amherst, Amherst, Massachusetts, United States
- Rony Krell, Digital Signals Group, Optum Labs, Minnetonka, Minnesota, United States, rony.krell@optum.com
- Han Zhang, Allen School of Computer Science and Engineering, University of Washington, Seattle, Washington, United States
Call for papers
Workshop Homepage
Abstract
Mental health and well-being are critical components of overall health: suffering from a mental illness can be both debilitating and life-threatening for individuals experiencing symptoms. Detecting symptoms of mental illness early-on and delivering interventions to prevent and/or manage symptoms can improve health and well-being outcomes. Ubiquitous systems are increasingly playing a central role in uncovering clinically relevant contextual information on mental health. Research shows that these systems can passively measure symptoms and enable opportunities to deliver intervention. However, despite this potential, the uptake of ubiquitous technologies into mental healthcare has been slow, and a number of challenges need to be addressed towards the effective implementation of these tools. The goal of this workshop is to bring together researchers, practitioners, and industry professionals interested in identifying, articulating, and addressing such issues and opportunities. Following the success of this workshop for the last seven years, we aim to continue facilitating the UbiComp community in both the conceptualization, translation, and implementation of novel approaches for sensing and intervention in the context of mental health.
Organizers:
- Oscar Mayora Fondazione, Bruno Kessler Research Institute, Trento, Italy
- Bert Arnrich, Digital Health – Connected Healthcare, Hasso Plattner Institute, Potsdam, Germany
- Tiago Guerreiro, LASIGE Lab, Faculty of Sciences, University of Lisbon, Lisbon, Portugal
- Filipa Ferreira-Brito, LASIGE Lab, Faculty of Sciences, University of Lisbon, Lisbon, Portugal
- Mitja Luštrek, Department of Intelligent Systems, Jožef Stefan Institute, Ljubljana, Slovenia
- Hristijan Gjoreski, Ss. Cyril and Methodius University in Skopje, Skopje, Macedonia, The Former Yugoslav Republic of
Workshop’s Homepage
Call for Papers
Abstract:
As in prescribable medical drug-based therapies, Digital Therapeutics (DTx) solutions introduce the use of software as 1) an active ingredient implemented as digital interventions to improve patients’ condition; and 2) as the excipient through which the intervention is conveyed to the patient. The most common DTx solutions implemented until today deal with the use of software-based solutions for dealing with mental health conditions. However, the potential of DTx is envisioned to grow to treat other health conditions with a number of technologies that still have not been duly explored. The objective of this workshop is to discuss the opportunities, barriers, and challenges of future DTx, the envisioned future use-cases, and the technologies with high potential to drive the uptake of these technologies, and this way to position this field as a solid complement of today’s therapeutic approaches for dealing with different health conditions.
Organizers
- Neelima Sailaja, Horizon Digital Economy Hub, University of Nottingham, Nottingham, United Kingdom
- Teresa Castle-Green, Mixed Reality Lab, School of Computer Science, University of Nottingham, Nottingham, Nottinghamshire, United Kingdom
- Paul Coulton, LICA, Lancaster University, Lancaster, United Kingdom
- Michael Stead, Imagination, Lancaster University, Lancaster, United Kingdom
- Joseph Lindley, Lancaster University, Lancaster, Lancashire, United Kingdom
- Dr. Lachlan D. Urquhart, School of Law, University of Edinburgh, Edinburgh , United Kingdom
- Dr. Dimitrios Paris Darzentas, Applied Informatics – School of Computing, Engineering and the Built Environment, Edinburgh Napier University, Edinburgh, United Kingdom
Call for papers
Workshop’s Homepage
Abstract
IoT products are increasingly becoming the default, with non-IoT versions of common hardware (e.g., TVs and printers) harder to find. Alongside this adoption surge, lack of support, outdated security, and planned obsolescence present concerning sustainability issues, contribute to eWaste growth and widen digital divides globally. This workshop aims to present and discuss legal, social, technical, and design aspects of repair practices, engaging the Ubicomp community by exploring challenges and opportunities for more repairable IoT devices. Focusing on diverse repair scenarios, the workshop seeks to establish a concise, holistic, and inclusive agenda for this research domain’s future. Participants will map key research questions to support the movement towards more repairable technology.
Organizers
- Shkurta Gashi, ETH AI Center, ETH Zürich, Zürich, Switzerland
- Dimitris Spathis, Nokia Bell Labs, Cambridge, Cambridgeshire, United Kingdom
- Dr. Ting Dang, Nokia Bell Labs, Cambridge, United Kingdom
- Alexander Hoelzemann, Ubiquitous Computing, University of Siegen, Siegen, Germany
Call for papers
Workshops’s Homepage
Abstract
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, and even urban living environments. Furthermore, beyond the initial metrics commonly applied in computing, such as “efficiency” and “productivity”, the benefits that people (users) get from well-being-aware ubiquitous technology have been greatly emphasized in recent years. Through the sixth “WellComp” (Computing for Well-being) workshop, we will discuss and debate the contribution of ubiquitous computing towards users’ well-being covering physical, mental, and social wellness (and the combinations thereof), from the viewpoints of various different layers of computing. Organized by a diverse international team of ubicomp researchers, WellComp 2023 will bring together researchers and practitioners from both academia and industry to explore versatile topics related to well-being and ubiquitous computing.
Organizers
- Yuanzhang Xiao, University of Hawaii at Manoa, Honolulu, Hawaii, United States
- Jie Xu, Department of Electrical and Computer Engineering, University of Miami, Coral Gables, Florida, United States
- Weiwei Jiang, Tsinghua University, Beijing, China
Call for papers & Homepage: TBA
Abstract
With the proliferation of connected devices with advanced sensing, computing, and communication capabilities, ubiquitous computing systems have become prevalent nowadays. They have the potential to revolutionize various industries by enabling new applications and services (e.g., patient monitoring, personalized recommendations, traffic control, home energy management). However, in real-world ubiquitous computing systems, data collection can be expensive or impossible. Due to the limited quantity and quality of data available, pure data-driven methods may not perform well. A promising approach to overcome these limitations is to utilize physical knowledge, including domain knowledge from experts, heuristics based on experience, and analytic models of physical phenomena.
Organizers
- Andrea Ferlini, Nokia Bell Labs, Cambridge, United Kingdom
- Alessandro Montanari, Nokia Bell Labs, Cambridge, United Kingdom
- Nirupam Roy, Computer Science, University of Maryland College Park, College Park, Maryland, United States
- Katayoun Farrahi, University of Southampton, Southampton, Southampton, United Kingdom
Call for papers
Workshop’s Homepage
Abstract
The objective of the 4th ACM International Workshop on Earable Computing (EarComp 2023) 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.
Organizers
- Chuang-Wen You, Graduate Institute of Art and Technology, National Tsing Hua University, Hsinchu, Taiwan
- Yi-Chao Chen, Computer Science and Engineering, Shanghai Jiao Tong University, Shanghai, China
- Liwei Chan, National Chiao Tung University, Hsinchu, Taiwan
- Min-Chun Hu, Computer Science, National Tsing Hua University, Hsinchu, Taiwan
- Mr Wei Sun, Computer Science department, University of Texas at Austin, Austin , Texas, United States
- Yun-Jui Lee, Corma New Media, Taipei, Taiwan
Call for papers
Workshop’s Homepage
Abstract
Rapid technological advances are expanding the practical applicability of virtual reality and/or augmented reality (VR/AR); however, the degree to which new users are able to interact with these technologies is limited by current input modalities. Gaining an intuitive grasp of VR/AR applications requires that users be immersed in the virtual environment, which in turn depends on the integration of multiple realistic sensory feedback mechanisms. This workshop will bring together researchers from the fields of UbiComp and VR/AR to explore alternative input modalities and sensory feedback systems to facilitate the design of coherent and engaging VR/AR experiences comparable to those in the real world.
IMPORTANT DATES
Workshops/Symposia in Cancun:
October 8th & 9th, 2023