09:00 – 09:15, Opening
09:15 - 10:15, Keynote 1
10:15 - 10:30, Coffee Break
10:30 - 10:42, Design Earable Sensing Systems: Perspectives and Lessons Learned from Industry
Xiaoran Fan, Trausti Thormundsson
10:42 - 10:50, Earables as Medical Devices: Opportunities and Challenges
Abdul Aziz et al.
10:50 - 11:02, Ear-canal Characterisation for Optimum In-Ear Headset User Experience
Khaldoon Al-naimi et al.
11:02 - 11:10, Vertical Jump Test Using an Earable Accelerometer
Dennis Moschina, Tobias Röddiger, Michael Beigl
11:10 - 11:25, EarBender: Enabling Rich IMU-based Natural Hand-to-Ear Interaction in Commodity Earables
Khaled Alkiek et al.
11:25 - 11:40, EarPass: Continuous User Authentication with In-ear PPG
Yang Liu et al.
12:45 – 12:50, Closing Remarks and Best Paper Award announcement
12:50 – 13:30, Lunch and Networking
We will solicit three 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.
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).
All 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/ISWC 2023 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
Lightweight Deep Learning on Earables
Health and Wellbeing Applications of Earables
Emerging Applications of Earables
Tiny Machine Learning on Earables
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 Vision Papers 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 2023" as Conference
, and, finally, pick "Ubicomp/ISWC 2023 EarComp" as Track
- Submission Deadline: July 14, 2023 (AoE)
- Acceptance Notification: July 21, 2023 (on a rolling basis)
- Camera Ready Deadline: July 31, 2023 (AoE) (strict deadline)
For any question/concern, get in touch with firstname.lastname@example.org
Alessandro Montanari, Nokia Bell Labs Cambridge
Katayoun (Kate) Farrahi, University of Southampton
Andrea Ferlini, Nokia Bell Labs Cambridge
Nirupam Roy, University of Maryland, College Park (UMD)
Michael Beigl, Karlsruhe Institute of Technology
Fahim Kawsar, Nokia Bell Labs, Cambridge
Cecilia Mascolo, University of Cambridge
Web, Publicity and Publication
Kayla-Jade Butkow, University of Cambridge
Xiaoran "Van" Fan, Google
Dong Ma, Singapore Management University
Marios Costantinides, Nokia Bell Labs Cambridge
Longfei Shangguan, University of Pittsburgh
Yang Liu, University of Cambridge
Yang Liu, Nokia Bell Labs Cambridge
Ting Dang, Nokia Bell Labs Cambridge
Khaldoon Al-Naimi, Nokia Bell Labs Cambridge
Ashok Thangarajan, Nokia Bell Labs Cambridge
Shijia Pan, UC Merced
Jagmohan Chauhan, University of Southampton
Jay Prakash, Silence Laboratories, Singapore
Jun Han, Yonsei University
Wen Hu, UNSW Sydney
Zhenyu Yan, Chinese University of Hong Kong
Mi Zhang, Michigan State University
Rajalakshmi Nandakumar, Cornell Tech
Bashima Islam, Worcester Polytechnic Institute
VP Nguyen, University of Texas at Arlington/UMass Amherst
Ho-Hsiang Wu, Bosch, USA