AIVR2019 will bring together clinicians and scientists, both industrial and academic, developing novel Artificial Intelligence and Virtual Reality outcome. Research in Virtual Reality (VR) is concerned with computing technologies that allow humans to see, hear, talk, think, learn, and solve problems in virtual and augmented environments. Research in Artificial Intelligence (AI) addresses technologies that allow computing machines to mimic these same human abilities. Although these two fields evolved separately, they share an interest in human senses, skills, and knowledge production. Thus, bringing them together will enable us to create more natural and realistic virtual worlds and develop better, more effective applications. Ultimately, this will lead to a future in which humans and humans, humans and machines, and machines and machines are interacting naturally in virtual worlds, with use cases and benefits we are only just beginning to imagine.
2019 3rd International Conference on Artificial Intelligence and Virtual Reality(AIVR2019) will be held in Singapore during July 27-29, 2019. This conference in the successful AIVR series provides an ideal opportunity for reflection on developments over the last two decades and to focus on future developments.
We look forward to welcoming AIVR2019 in Singapore to provide the international
community with a highly interactive and scientifically excellent conference to
the further the translation of promising AI & VR technology.
All papers will be published in the International Conference Proceedings Series by ACM ICPS Program, which will be indexed by Ei Compendex and Scopus and submitted to be reviewed by Thomson Reuters Conference Proceedings Citation Index (ISI Web of Science).
|Deadline for Paper Submission||May 25, 2019|
|Notification of Acceptance||June 10, 2019|
|Deadline for Registration and Camera Ready Submission||June 25, 2019|
|Dates of the Conference||July 27-29, 2019|
Conference Theme (CFP Flyer)
|*Systems, including techniques, performance, and
*Content creation and modelling
|*Cognitive aspects, perception, user behaviour
*Interactions / interactive and responsive environments
*Applications and use cases