EarComp 2022

3rd International Workshop on Earable Computing
In conjunction with UbiComp 2022, September 15th, 2022

(EarComp 2021)
(EarComp 2019)

Overview

Sensory earables are increasingly becoming a mainstream compute platform with a promise to fundamentally transform personal-scale human sensing applications. Over the past few years, a number of research efforts in the ubiquitous computing domain have sought to achieve useful, engaging, and sometimes ambitious behavioural analytics with sensory earables including studies of the human face; of emotion and stress; continuous monitoring of cardiovascular function; oxygen consumption and blood flow; and tracking eating episodes as well as dietary and swallowing activities. At the same time, we have started seeing commercial efforts such as Bragi's The Dash, Bose SoundSport, Jabra Elite Sport, and Sony Xperia offering music experience augmented with sensory services including fitness tracking, real-time translations and conversational agents. Naturally, earables are becoming an intense interdisciplinary area of study with many and diverse applications including HCI, empathic communication, behavioural science, health and wellbeing, entertainment, education, and security.

However, as of today, earable computing lacks an academic forum to bring together researchers, practitioners, and design experts from academia and industry to discuss, share, and shape this exciting new area of research. To this end, we are organising the third workshop on Earable Computing with a hope that this workshop will serve as a catalyst for advancements in sensory earable technology as well as present a clear sense of direction for the research community to proceed in this space.

Keynote

TBC

Program

Date: Thursday, September 15th, 2022
Program TBD

Call For Papers

We will solicit four categories of papers.
  • Full papers (up to 6 pages including references) should report a reasonably mature work with earables, and is expected to demonstrate concrete and reproducible results albeit scale may be limited.
  • Experience papers (up to 4 pages including references) that present extensive experiences with implementation, deployment, and operations of earable-based systems. Desirable papers are expected to contain real data as well as descriptions of the practical lessons learned.
  • Short papers (up to 2 pages including references) are encouraged to report novel, and creative ideas that are yet to produce concrete research results but are at a stage where community feedback would be useful.
  • Short versions (up to 2 pages including references) of papers that have been presented at IMWUT are welcome to obtain feedback from the dedicated earable community.
  • Moreover, we will have a special submission category - "Dataset Paper" - soliciting a 1-2 page document describing a well curated and labelled dataset collected with earables (eventually accompanied by the dataset).

    Full research papers will be in ACM sigconf template with 2 columns and all of the accepted papers (regardless of category) will be included in the ACM Digital Library. All papers will be digitally available through the workshop website, and the UbiComp adjunct proceedings. For each category of papers, we will offer a "Best Paper" and "Best Dataset" awards sponsored by Nokia Bell Labs.


    Topics of interest (NOT an exhaustive list):
  • Acoustic Sensing with Earables
  • Kinetic Sensing with Earables
  • Multi-Modal Learning with Earables
  • Multi-Task Learning with Earables
  • Active Learning with Earables
  • Low-Power Sensing Systems for Earables
  • Authentication & Trust mechanisms for Earables
  • Quality-Aware Data Collection with Earables
  • Experience Sampling with Earables
  • Crowd Sourcing with Earables
  • Novel UI and UX for Earables
  • Auditory Augmented Reality Application with Earables
  • Health and Wellbeing Applications of Earables
  • Emerging Applications of Earables
  • Embedded Machine Learning


  • The presentations will be in person, but we will accomodate both live remote presentations and pre-recorded remote presentations.

    Submission & Timeline

    While the workshop will accept papers describing completed work as well as work-in-progress, the emphasis is on early discussion of novel and radical ideas (potentially of a controversial nature) rather than detailed description and evaluation of incremental advances.

    Submissions must be no longer than 6 pages (including references) for Full Papers, 4 pages (including references) for Experience Papers, and 2 pages (including references) for Interactive Posters and must be in PDF format. Reviews will be double-blind: no names or affiliation should be included in the submission.

    The submission template can be downloaded from ACM site.
    Alternatively, the Overleaf version can be found here.

    Latex documents should use the “sigconf” template style. Word users should use the interim template downloadable from the ACM site.

    Submission Site: https://new.precisionconference.com/submissions

    Submission Instructions: to select the appropriate track choose "SIGCHI" in the field Society, "Ubicomp/ISWC 2022" as Conference, and, finally, pick "Ubicomp/ISWC 2022 Workshop: EarComp" as Track.

    • Submission Deadline: August 31, 2022 (11:59 PM PDT)
    • Acceptance Notification: September 7, 2022
    • Camera Ready Deadline: September 11, 2022
    • Workshop: September 15, 2022
    For any question/concern, get in touch with earcomp@esense.io.

    Organisers

    General Chairs
    Alessandro Montanari, Nokia Bell Labs Cambridge
    Dong Ma, Singapore Management University (SMU)
    Fahim Kawsar, Nokia Bell Labs Cambridge

    Program Chairs
    Andrea Ferlini, Nokia Bell Labs Cambridge
    Xiaoran "Van" Fan, Google, Technology Directions Office (TDO)

    Web, Publicity and Publication
    Kayla-Jade Butkow, University of Cambridge

    Tentative Program Committee
    Cecilia Mascolo, University of Cambridge
    Marios Costantinides, Nokia Bell Labs Cambridge
    Michael Beigl, Karlsruhe Institute of Technology
    Ting Dang, University of Cambridge
    Longfei Shangguan, Microsoft Research
    Yang Liu, University of Cambridge
    Shubham Jain, Stony Brook University
    Anran Wang, University of Washington
    Octavio Ponce, Google
    Przemysław Pawełczak, TU Delf
    Nigel Davies, Lancaster University
    Inseok Hwang, Pohang University of Science and Technology
    Seungwoo Kang, Korea University of Technology and Education
    JeongGil Ko, Ajou University
    Nicholas Lane, University of Cambridge
    Youngki Lee, Seoul National University
    Tatsuo Nakajima, Waseda University
    Tadashi Okoshi, Keio University
    Shijia Pan, UC Merced
    Johannes Schöning, University of Bremen
    Junehwa Song, KAIST
    Mani Srivastava, UCLA
    Kristof Van Laerhoven, University of Siegen
    Moustafa Youssef, Alexandria University
    Daniel Roggen, University of Sussex
    Jeremy Gummeson, UMASS
    Josiah Hester, Northwestern University
    Oliver Amft, FAU Erlangen