Date: Thursday, September 15th, 2022
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.
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
Submission Site: https://new.precisionconference.com/submissions
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 email@example.com
Alessandro Montanari, Nokia Bell Labs Cambridge
Dong Ma, Singapore Management University (SMU)
Fahim Kawsar, Nokia Bell Labs Cambridge
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