SIVA 2022 seeks contributions in VR/AR/MR and 3DUI including, but not limited to, the following topics:
Multimodal signal processing
Natural communication through Artificial Intelligence
Personalization of IVAs
Emotion sensing and affective computing for interactions with social IVAs
Transfer of psychological concepts to human-agent interactions
(Behavioral) realism of agents
Human imperfection in IVAs
Applications of social IVAs
IVAs in the context of virtual meetings
IVAs in the context of therapy / social facilitation through IVAs
IVAs manifested in hardware / social robots
Ethical questions for social IVAs
All papers must be original and not simultaneously submitted to another journal or conference. Submissions should contain substantial scientific contributions to the fields mentioned in the call. Each paper should be classifiable as one of the following:
Research papers should contribute state-of-the-art advances and provide results as evidence.
Application papers should explain how pre-existing ideas were applied to solve a novel problem.
System papers should indicate how developers integrated techniques and technologies to produce a novel system and provide evidence of the system’s effectiveness.
Project papers should give an overview of an existing project that includes socially intelligent virtual agents by describing the approach and goals of the project.
Papers should be written in English and follow the IEEE VR formatting guidelines. LaTeX and Word templates as well as a sample PDF can be found at:
https://tc.computer.org/vgtc/publications/conference/.
We welcome papers with a length between 2 and 6 pages, excluding references. The contribution of the paper will be weighed against its length during review. SIVA 2022 will use a double-blind review process, in which both the authors and the reviewers remain anonymous to each other. Submissions must not contain information that unnecessarily identifies the authors, their institutions, or their places of work. Relevant previous work by the authors should be cited in the third person to preserve anonymity. Papers must be submitted in PDF format electronically, by the deadline above, through the Precision Conference System (PCS): https://new.precisionconference.com/