Eyewear 2021 Workshop collated with UbiComp/ISWC
(Publications will be in the ACM Digital Library under UbiComp/ISWC
Adjunct)
https://eyewear.pro/
Paper Deadline 30th June 2021 AoE
Short Position and Concept papers welcome.
Submission over Precision Conference:
https://new.precisionconference.com/submissions
Select SIGCHI, UbiComp/ISWC 2021 and the Eyewear Computing Workshop.
Submissions should use the ACM ‘sigconf' template
https://www.acm.org/publications/proceedings-template and should not be
longer than 8 pages including references. All submissions will be
peer-reviewed by a program committee.
The human face, holding the majority of human senses, provides versatile
information about a person's cognitive and affective states. Using
head-worn technology, user states, such as reading, walking, detection
of fatigue or cognitive load, can be recognized and enable new
application scenarios, such as quantified self for the mind. Besides,
significant progress in sensing technologies and modalities have led to
a constant increase in unobtrusive and affordable head-worn sensing
devices, such as smart glasses like Google Glass or J!NS meme. With the
resulting increasing ubiquity of the technology, new opportunities arise
for applications that track social behaviours and interactions between
groups of people in real-world settings.
This workshop aims to identify key factors in large-scale uses of
eyewear computing. More precisely, we are going to summarize lessons
learned from early deployment, focus on ways to empower the community
with high-quality hardware and software prototyping tools, and will
specifically discuss the establishment of open source datasets. With the
wider distribution of head-worn sensing technology to the public,
long-term impacts of the technology become increasingly important.
Therefore, we also welcome topics that are concerned with physical or
psychological aspects of head-worn sensing devices. We invite
submissions of position papers (2-4 pages in the ACM sigconf format,
excluding references) that cover topics such as, but are not limited to:
Open Eyewear Tools and Datasets
Eyewear sensing and actuation technologies
Smart Eyewear interactions
Application scenarios of head-worn sensing/interaction devices
Impact and Risks of long-term sensing
Smart Eyewear User Experience Designs
Submissions will go through a single-phase review process with at least
2 reviewers. They will be assessed based on their relevance,
originality, and their potential of initiating a fruitful discussion at
the workshop. Note, that position papers are not expected to present
finished research projects. We rather ask for thought-provoking ideas or
initial explorations of a topic. Position papers will be reviewed by two
of the workshop organizers. At the workshop, accepted submissions will
be presented in a 5-min prerecorded video, following the Pecha Kucha
style. At least one author of an accepted submission must attend the
workshop.
Organizers:
Kirill Ragozin is a postdoctoral researcher at Keio University Graduate
School of Media Design. His major research contributions are in mixed
reality and embodied thermal interactions. His research interests
include immersive digital media, eye tracking and interaction design
using wearable electronics.
Kai Kunze is a Professor at Keio University Graduate School of Media
Design. His major research contributions are in pervasive computing with
a focus on augmenting human abilities.
Teresa Hirzle is a fourth-year Ph.D. student at Ulm University. Her
research interests lie in analysing the impact of head-worn technology
(in particular VR) on user comfort and developing suitable measurement
tools thereof.
Benjamin Tag is a postdoctoral researcher and associate lecturer at the
School of Computing and Information Systems at the University of
Melbourne. His research focuses on the conceptualisation of digital
emotion regulation, and investigation of human cognition using biometric
sensors and psychological test methods.
Yuji Uema is a researcher at JINS Inc., where he develops smart eyewear
and conducts feasibility studies with special focus on HCI, education
and medical application. His Ph.D. research at The University of Tokyo
includes the analysis and estimation of cognitive load based on eye
blinks and eye movement.
Enrico Rukzio is a Professor of Media Informatics at Ulm University. His
research focuses on mobile and wearable interaction, computerized
eyewear and automotive user interfaces.
Jamie A Ward is a lecturer at Goldsmiths, University of London. He works
on wearable computing, with contributions to topics like social
neuroscience, activity recognition, performance evaluation, and
applications to real-world problems in health, industry, and the arts.
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