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Kai Kunze <[log in to unmask]>
Mon, 21 Jun 2021 11:26:45 +0900
text/plain (103 lines)
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
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.

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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