CALL FOR PARTICIPATION - 2016 aWEAR Conference
November 14-15, 2016
Stanford University, Stanford, California, US
awear16.interlab.me


Important Dates
===============

Abstract Submission Deadline: 31 July, 2016 Author Notification: 
mid-August, 2016
Format: 500 word abstracts (https://easychair.org/conferences/?conf=awear16)


About the Conference
====================

aWEAR: The First International Conference on wearable technologies, 
knowledge development, and learning

The rapid development of mobile phones has contributed to increasingly 
personal engagement with our technology. Building on the success of 
mobile, wearables (watches, smart clothing, clinical-grade bands, 
fitness trackers, VR) are the next generation of technologies offering 
not only new communication opportunities, but more importantly, new ways 
to understand ourselves, our health, our learning, and personal and 
organizational knowledge development.
Wearables hold promise to greatly improve personal learning and the 
performance of teams and collaborative knowledge building through 
advanced data collection. For example, predictive models and learner 
profiles currently use log and clickstream data. Wearables capture a 
range of physiological and contextual data that can increase the 
sophistication of those models and improve learner self-awareness, 
regulation, and performance.
When combined with existing data such as social media and learning 
management systems, sophisticated awareness of individual and 
collaborative activity can be obtained. Wearables are developing 
quickly, including hardware such as fitness trackers, clothing, earbuds, 
contact lens and  software, notably for integration of data sets and 
analysis.

The 2016 aWEAR (awear.interlab.me) conference is the first international 
wearables in learning and education conference. It will be held at 
Stanford University and provide researchers and attendees with an 
overview of how these tools are being developed, deployed, and 
researched. Attendees will have opportunities to engage with different 
wearable technologies, explore various data collection practices, and 
evaluate case studies where wearables have been deployed.

Conference audience
===================

This conference will appeal to individuals in K-12, higher education, 
corporate learning, and existing technology companies, including 
startups. In addition to sharing emerging research, the conference will 
take a hands-on approach to exploring wearable technologies, including 
pilot and prototype developments.

Conference topics
=================

Topics of interest to the conference include, but are not limited to:

- Bridging the gap between humans and technology
- Wearable technology in the classroom
- Wearable technology in online educational settings
- Scaling wearable technology for education and learning
- Collecting and processing data about learning and learning context 
from wearable devices
- Collaboration and connectivity using wearable technology for education 
and learning
- Wearables and virtual reality in learning
- Using wearable technology to support student mental and physical wellbeing
- Institutional adoption of wearable technology in the classroom
- Physiological data collection: analyses and implications for learning 
and education
- Prototypes and early stage pilots of wearables in classroom, blended 
and online settings, including schools, higher education, and corporate 
learning
- Contextual and ambient computing (internet of things, sensors, smart 
glasses) in learning and education
- Quantified self: wearables to improve self-regulation
- User experience in self/institutional surveillance
- Openness: algorithms, technologies, and learner models
- Integration of wearable with existing social media, learning 
management systems, student information systems, and related technologies
- Face recognition and emotion detection through automated video
- Non-touch sensor interaction with hardware, software, and knowledge 
elements
- Ethics of physiological data collection and analysis.


Conference Organizers
=====================

This conference is organized by LINK Research Lab (University of Texas, 
Arlington), Stanford University, and University of Edinburgh.

-- 
The University of Edinburgh is a charitable body, registered in
Scotland, with registration number SC005336.