workshop at ISMAR
workshop at IEEE International Symposium on Mixed and Augmented Reality (ISMAR) — October 21, 2022
The 2nd workshop on Universal Augmented Interaction (UNAI) will be held as part of ISMAR 2022 (the A* leading conference on mixed and augmented reality). The previous edition of our workshop has been successfully held at ISMAR 2021.
UNAI will bring in original research, review and position papers, as well as practical developments dedicated to various types of augmented interaction, including AR, AI-enhanced and adaptive interfaces, neural and brain-computer technologies, etc. Particular focus is on making them universally useful, usable and accessible for all kinds of users, including non-technologically advanced ones, such as elder people, and in all contexts: at home and at work, in medicine/healthcare and in industry, as momentary entertainment and as everyday job. In these, the focus is on human aspects and social impact, rather than technological nuances.
ISMAR plans to be in hybrid format, and so is the workshop. Please check the registration fees (updated 08 Aug) specified by ISMAR for workshops authors. Virtual participation without a paper might also be possible.
All dates are Anywhere on Earth (AoE) Time Zone.
Authors are invited to submit original contributions in English. All submissions will be peer reviewed by the technical program committee. The submission needs to be done via EasyChair. If you already have an account with that system, please use that account to submit your materials. Otherwise, create a new account.
Please use the template and follow the submission guidelines specified for ISMAR conference papers.
Research, review or position papers: 4-6 pages excluding references
Demo / practical papers: 2-4 pages excluding references, plus a video of up to 5 minutes.
Accepted papers will be published in ISMAR Adjunct Proceedings to appear in IEEE Xplore and to be indexed by Scopus. For each accepted paper, at least one author must attend the workshop and present the paper. Registration is subject to the terms and conditions of ISMAR.
Please note that the registration information has been published by ISMAR. «For Presenters of Workshops/Tutorials/Doctoral Consortium: At least one Physical 1-day Pass registration for each presentation is required to be made by the presenter by 31 Aug 2022.»
Elakkiya R is working as an Assistant Professor in Department of Computer Science & Engineering, School of Computing, SASTRA University, Thanjavur. She received her Doctor of Philosophy from Anna University, Chennai in 2018. Her research interests include Deep Learning and Computer Vision. She got three patents and has published more than 35 research articles in leading journals, conference proceedings and books including IEEE, Elsevier and Springer. Currently, she is an editor of Information Engineering and Applied Computing journal and also, she is a Lifetime member of International Association of Engineers. She had organized various events including a Workshop on “Cyber Security” at Agni College of Technology, Chennai from 2014 to 2017 sponsored by IIT Bombay and a Software Development workshop “EKTIA” in Jerusalem College of Engineering, Chennai in 2012.
Elakkiya R is working as an Assistant Professor in Department of Computer Science & Engineering, School of Computing, SASTRA University, Thanjavur. She received her Doctor of Philosophy from Anna University, Chennai in 2018. Her research interests include Deep Learning and Computer Vision. She got three patents and has published more than 35 research articles in leading journals, conference proceedings and books including IEEE, Elsevier and Springer. Currently, she is an editor of Information Engineering and Applied Computing journal and also, she is a Lifetime member of International Association of Engineers. She had organized various events including a Workshop on “Cyber Security” at Agni College of Technology, Chennai from 2014 to 2017 sponsored by IIT Bombay and a Software Development workshop “EKTIA” in Jerusalem College of Engineering, Chennai in 2012.
Maxim Bakaev got his PhD degree in Software Engineering in 2012. He currently works as an Associate Professor of the Automated Control Systems department of Novosibirsk State Technical University (NSTU), Russia. Previously, he received his Master Degree in Digital Design from Kyungsung University, South Korea. His research interests include Human-Computer Interaction, Universal Design, Web User Interfaces, User Behavior Models, Knowledge Engineering, Machine Learning, etc. He has served as a committee member for several international conferences, particularly as PC Co-Chair for ICMSC 2018 and ICWE 2019, as Demo & Posters Chair for ICWE 2020, and as Workshops Co-Chair for ICWE 2021. He also served as a reviewer for several international conferences and journals, including CHI, International Journal of Human-Computer Studies, Applied Ontology, Symmetry, etc. In 2016, he received Novosibirsk City Hall award in science and innovations to a "Best young researcher in higher education institutions". Under his supervision, more than 20 Master and Bachelor students graduated.
Maxim Bakaev got his PhD degree in Software Engineering in 2012. He currently works as an Associate Professor of the Automated Control Systems department of Novosibirsk State Technical University (NSTU), Russia. Previously, he received his Master Degree in Digital Design from Kyungsung University, South Korea. His research interests include Human-Computer Interaction, Universal Design, Web User Interfaces, User Behavior Models, Knowledge Engineering, Machine Learning, etc. He has served as a committee member for several international conferences, particularly as PC Co-Chair for ICMSC 2018 and ICWE 2019, as Demo & Posters Chair for ICWE 2020, and as Workshops Co-Chair for ICWE 2021. He also served as a reviewer for several international conferences and journals, including CHI, International Journal of Human-Computer Studies, Applied Ontology, Symmetry, etc. In 2016, he received Novosibirsk City Hall award in science and innovations to a "Best young researcher in higher education institutions". Under his supervision, more than 20 Master and Bachelor students graduated.
Olga Razumnikova got her Dr.-Habil. degree in Psychophysiology in 2004. She is now a Professor of Psychology and Pedagogy department of Novosibirsk State Technical University (NSTU), Russia. Her research interests include Cognitive Psychology, Differential Psychophysiology, Ageing, EEG Data Mining, Psychotherapy with AR/MR/VR, etc. She has developed several cognitive training programs for senior people to promote cognitive reserves in older age. She served as Chair for Symposium “Compensatory resources of the brain in health and disease” (2019), Section Chair for “Dynamics of cognitive systems” within the National Congress on Cognitive Research (2020), etc. She also serves as reviewing expert for the Russian Foundation for Basic Research. Her work was awarded as “The Best Research of NSTU” in 2016. She has been the advisor to over 10 PhD students.
Olga Razumnikova got her Dr.-Habil. degree in Psychophysiology in 2004. She is now a Professor of Psychology and Pedagogy department of Novosibirsk State Technical University (NSTU), Russia. Her research interests include Cognitive Psychology, Differential Psychophysiology, Ageing, EEG Data Mining, Psychotherapy with AR/MR/VR, etc. She has developed several cognitive training programs for senior people to promote cognitive reserves in older age. She served as Chair for Symposium “Compensatory resources of the brain in health and disease” (2019), Section Chair for “Dynamics of cognitive systems” within the National Congress on Cognitive Research (2020), etc. She also serves as reviewing expert for the Russian Foundation for Basic Research. Her work was awarded as “The Best Research of NSTU” in 2016. She has been the advisor to over 10 PhD students.
V. Subramaniyaswamy is currently working as an Associate Professor in the School of Computing, SASTRA Deemed University, Thanjavur, Tamilnadu. His research interests include Machine Learning, Cognitive Science, Internet of Things (IoT), Recommender Systems, Social Network Data Mining and Big Data Analytics. His research aims to respond to the new trend and huge need for big data and cognitive computing specialists, by filling a gap within a multidisciplinary field to include computer science, mathematics, engineering, and application domains. He has organized several National/International Seminars/ Workshops/ Symposiums/ Conferences/ Special Sessions in the area of Machine Learning, Cognitive computing and Big Data. With the academic experience more than 16 years, he serves as a guest editor and reviewer to several IEEE, Springer and Elsevier Journals.
V. Subramaniyaswamy is currently working as an Associate Professor in the School of Computing, SASTRA Deemed University, Thanjavur, Tamilnadu. His research interests include Machine Learning, Cognitive Science, Internet of Things (IoT), Recommender Systems, Social Network Data Mining and Big Data Analytics. His research aims to respond to the new trend and huge need for big data and cognitive computing specialists, by filling a gap within a multidisciplinary field to include computer science, mathematics, engineering, and application domains. He has organized several National/International Seminars/ Workshops/ Symposiums/ Conferences/ Special Sessions in the area of Machine Learning, Cognitive computing and Big Data. With the academic experience more than 16 years, he serves as a guest editor and reviewer to several IEEE, Springer and Elsevier Journals.