Location: Concourse 10 at the conference centre and hybrid
We offer a simple protocol designed to improve performance in technology-augmented experiences in the wild. By synthesizing commonly used performance practices, our protocol improves state-change efficiency to improve performance while using XR and game-based solutions in industry, academe, and entertainment. Following professional performance practice, the techniques shared can be used in the studio or lab, but are specifically designed to be practical for use in the wild, since most performance occurs in dynamic environments
Location: Online only
Due to the emergence of IoT-cloud based infrastructure and the wide availability of smart handheld devices, a novel group of societal applications is coming up. Most of these applications are data intensive and consumer driven. Machine learning and deep learning techniques fuelled the success of such applications in making a better-connected society. The recent pandemic caused by COVID-19 further emphasizes the need for such applications not only to the healthcare domain but also for fitness tracking, entertainment and many other domains. These applications heavily rely on the cloud infrastructure for providing sophisticated user experience. So, the presentation will cover a comprehensive view of this group of societal applications and the research challenges associated to it along with the implementation aspects. The discussion will revolve around three representative research directions- overview of machine learning and deep learning techniques used in this field, challenges and solutions of smartphone and wearable sensing data, and case studies on health monitoring and indoor localization. The presentation will conclude with a discussion on the open research issues in this area.
MobileHCI tutorials are in-depth presentations of fundamental or state-of-the-art topics presented by researchers or practitioners within the field of MobileHCI. The tutorials empower attendees to learn new skills and offer possibilities to meet new people online and discuss topics of shared interest. The scope for tutorials is broad and includes topics such as new technologies, research approaches and methodologies, design practices, user/consumer insights, investigations into new services/applications/interfaces, statistics, and much more. A tutorial should focus on its topic in detail and include references to the “must-read” papers or materials within its domain. A participatory approach in which the tutorial participants actively engage in exercises is welcomed, though not required. The expected audience will vary in terms of prior knowledge, but will largely consist of researchers, PhD students, practitioners, and educators.
|Submission Deadline||May 20, 2022, 23:59 Anywhere on Earth Check your local time in AoE.|
|Notification||June 17, 2022|
|Day of Tutorials||October 1, 2022|
Our assumption at the moment is that MobileHCI 2022 will be a hybrid conference and will take place at the Simon Fraser University (SFU) Wosk Centre for Dialog in downtown Vancouver, Canada. Events like the tutorial can be hybrid or online only and will take place on October 1, 2022. However, please keep in mind that with the ever-changing nature of COVID-19 we may have to default back to the online-only option.
In your proposal please include:
Curated, i.e. the tutorial chairs will review the submissions and decide on acceptance
Tutorials are not submitted anonymously, i.e. instructors do not remove their names and affiliations from their submission materials.
Accepted tutorial proposals will be included in the Conference Adjunct Proceedings. ACM will send you a copyright form, which you have to complete. Once completed, ACM will provide you the copyright information to be put into your paper. You can then submit the camera-ready version (including the copyright notice) through the submission system.
Tutorial instructors receive a free registration to the conference (max. 2 per tutorial).
University of Victoria, Canada
The University of British Columbia, Canada