Decision support is the primary source of AI research and application. Besides the intelligence competence for decision making, the reliable human-machine collaboration in the decision support systems is a critical requirement for supporting the human-centric or mixture-initiative decision process.
This workshop aims to share variant applications and methodologies on reliable decision support systems, analyze and model the reliability requirements in human-machine collaborative intelligent decisions, and exchange novel ideas among researchers from industry and academia to make a reliable decision-making process. The workshop welcomes papers and presentations in the field of human-machine interaction, operational research, intelligent decisions, and explainable artificial intelligence.
The list of topics includes, but is not limited to:
Authors are invited to submit original unpublished research papers as well as industrial practice papers. Simultaneous submissions to other conferences are not permitted.
Papers should be written in English and submitted in PDF format. The length of a camera ready paper will be limited to ten pages, including the title of the paper, the name and affiliation of each author, a 150-word abstract, and up to 6 keywords. Shorter version papers (up to four pages) are also allowed.
Authors must follow the ISSSR conference proceedings format (PDF | Word DOCX | Latex) and Submission Guidelines to prepare their papers. Each submission will be reviewed by at least three program committee members. Paper selection is based on originality, technical contribution, presentation quality, and relevance to the workshop.
At least one of the authors of each accepted paper is required to pay a full registration fee and present the paper at the workshop. Papers of top quality will be invited to submit their extended versions to a special issue of a selected SCI journal.
Wuhan University of Technology, China
University of Texas at Dallas, USA
