The 1st Workshop on Ubicomp Environments and Proxemic Applications aims to enable synergy among key aspects, such as how DILMO (Distance, Identity, Location, Movement, Orientation) dimensions can be used to improve Human-Machine Interaction (HMI), how ubicomp environments should be designed to benefit from proxemic interactions, how social robotic reaches social behaviors of robots based in proxemics, tools to support the design and development of proxemic applications. This workshop provides a venue for members from a range of international institutions, including universities, research labs, and industry to exchange ideas and experiences, analyze, present, and discuss latest research and development issues, and propose theoretical foundations related to research on combining solutions for developing proxemic applications on ubicomp environments. This synergistic focus will enforce the engineering of intelligent and innovative solutions based in proxemics to guide their design and to promote the development of new approaches (architectures, tools, and methodologies) for proxemic HMI
Univ. Católica San Pablo, Peru
Univ. Simón Bolívar, Venezuela
Univ. Católica San Pablo, Peru
Inst. Federal da Bahia - IFBA, Brazil
February 25th, 2022; March 8th, 2022; March 15th, 2022
Notification of Acceptance:
April 4th, 2022; April 8th, 2022
April 18th, 2022; April 20th, 2022
Prospective authors are encouraged to submit papers for evaluation by the Program Committee. All submissions will be peer-reviewed by at least 3 peer reviewers with expertise in the area. This process will result in constructive feedback to the authors and the selection of the best contributions to be presented in the workshop and published in the proceedings. After the preliminary notification date, authors rebut by evidence and arguments all reviewer inquiries and their comments. Based on the rebuttal feedback, reviewers notify authors with the final decision. Selection criteria will include: relevance, significance, impact, originality, technical soundness, and quality of presentation. Preference will be given to submissions that take strong or challenging positions on important emergent topics related to the workshop. At least one author should attend the workshop to present the paper.
All papers accepted for publication must follow the formatting rules for Springer Proceedings (https://www.iospress.com/book-article-instructions) and be written in English, with a length of at least 6 but no more than 10 pages. Latex and Word templates can be found in http://www.iospress.nl/service/authors/latex-and-word-tools-for-book-authors.
Important note for double blind review policy: The version of papers for evaluation by the Program Committee, saved in PDF format, must not include identification, e-mail, affiliation of the authors, grants, funding institution or any explicit information, that may disclose the authors’ identity (this information is to be restored in the camera-ready version upon acceptance). Please remove author names and affiliations (or replace it with Xs) on submitted papers. In particular, in the version submitted for review please avoid explicit auto-references, such as “as we shown in ” — consider “as shown in “. i.e., you may cite your own previous works provided that it is not deducible from the text that the cited work belongs to the authors. This information must only be available in the camera-ready version of accepted papers, saved in Word or Latex format and also in PDF format. These files must be accompanied by the Consent to Publish form filled out, in a ZIP file, and uploaded at the conference management system.
The submission system for this workshop is based on EasyChair. To submit or upload a paper please go to https://easychair.org/conferences/?conf=ubicproxemics2022.
All papers accepted in the Workshops program will be published as a volume of the Ambient Intelligence and Smart Environments Series of IOS Press and electronically available through ACM Digital Library (pending approval). The proceedings will be ISI indexed.
Pedro Núñez was a Telecommunications Engineer in 2003 and a PhD from the University of Málaga (Spain) in 2008. In 2007 he became a member of the staff of the University of Extremadura, also in Spain, and joined the RoboLab group. He is currently a Full Professor (2019). He has an extensive experience in the field of autonomous robotics and intelligent environments (15 contributions published in journals indexed in the Journal Citation Report and more than 50 participations in conferences¸ many of them of international prestige in robotics, such as the IEEE International Conference on Robotics and Automation or the IEEE/RSJ International Conference on Robotics and Systems.
Robotic technology is currently expanding from highly structured environments with well-defined use cases of large-scale mass manufacturing to a wider range of market domains. In these new application areas it is common for robots to share spaces, interact and cooperate with humans. Social robotics emerges as a necessary field of research to address these scenarios. This social robotics brings to the table a broad set of new problems including, among others, acceptance, safety, usability, and social behavioral norms. In addition, a robot working in social environments must incorporate a certain ability to understand the social environment, creating what is known as Socially-aware Robotics. A socially aware robot becomes aware of its social context and uses this capability to, among other tasks, navigate safely and respect personal spaces as a person would. Throughout this presentation we will describe all these particularities, highlighting how proxemics can help us in the navigation of socially aware robots.