{"id":1711,"date":"2021-05-30T22:44:01","date_gmt":"2021-05-30T22:44:01","guid":{"rendered":"https:\/\/seeda2021.uowm.gr\/?page_id=1711"},"modified":"2021-06-14T06:06:20","modified_gmt":"2021-06-14T06:06:20","slug":"ar_vr","status":"publish","type":"page","link":"https:\/\/seeda2021.uowm.gr\/ar_vr\/","title":{"rendered":"The Challenges for skillful training In The Industry 4.0 Era"},"content":{"rendered":"
The outbreak of the COVID-19 pandemic has affected all life aspects and mostly education. This special session aims to present the advances on Immersive technologies, the requirements, and their potential in the new era of broadening distance learning and their applicability in the Industry 4.0 environment. Immersive technologies are the core of novel educational tools, methodologies, and approaches that have risen recently.<\/p>\n
Educators teaching all levels are exploring the potential of Virtual Reality, Augmentative Reality, Mixed Reality, Blended Learning practices, Gamification, Learning Analytics and various other approaches. These techniques have a crucial role in all STEM disciplines as they are bound to \u2018hands-on\u2019 activities for knowledge comprehension and advancement. The research on the afore mentioned technologies can help educators to use immersive, scenario-based, experiential learning methodologies for utilizing the 4th<\/sup> generation of industrial environment by increasing its productivity due to human error reduction , shorten training time, minimising training cost, boosting innovation in training, embedding new skill practices with short response times\u00a0 and adapting training to critical emergency operations.<\/p>\n On the hand, Virtual and Augmented Reality Technologies allow the opportunity to design collaborative working environments for Cyber-physical systems (CPS) empowered by AI, which is the core of Industry 4.0. VR and AR advances have gained the visualization part of I4.0 and they are providing new solutions and more effective possibilities for an innovative working environment. The Following research topics could help learning procedures to shorten the cycle between the education needs identification and the distribution of a skilful experience and they can lead to new promising learning methodologies for the reduction of time, complexity, and computational costs of the production line of the new industrial paradigm Industry 4.<\/p>\n This special session will include but not restricted to the following topics\u00a0:<\/p>\n <\/p>\n Authors are invited to submit their original work that has not previously been submitted or published in any other venue. Each paper length should not exceed 8<\/strong> pages. All papers need to be in IEEE CS format<\/u><\/a><\/strong> and submitted via the dedicated Easychair submission site<\/strong><\/a> according to the instructions on the Initial Submissions<\/a> page.<\/p>\n Extended versions of selected papers will be included in three Special Issues in\u00a0Telecom<\/span><\/i><\/b><\/a><\/span>\u00a0<\/i><\/b>(100% APC-waived),\u00a0Signals<\/span><\/i><\/b><\/a><\/span>\u00a0<\/i>(discount or 100% APC-waived) and\u00a0Information\u00a0<\/i><\/b><\/a>(50% APC-waived)\u00a0MDPI journals.<\/p>\n <\/p>\n\n
Submission Guidelines<\/strong><\/h4>\n
Special Session Organizers<\/strong><\/h4>\n