Special Sessions
Special sessions are very small and specialized events to be held during the conference as a set of oral and poster presentations that are highly specialized in some particular theme or consisting of the works of some particular international project. The goal of special sessions (minimum 4 papers; maximum 9) is to provide a focused discussion on innovative topics. All accepted papers will be published in a special section of the conference proceedings book, under an ISBN reference. The proceedings are abstracted/indexed in DBLP, Google Scholar, EI-Compendex, INSPEC, Japanese Science and Technology Agency (JST), Norwegian Register for Scientific Journals and Series, Mathematical Reviews, SCImago, Scopus and zbMATH. CCIS volumes are also submitted for the inclusion in ISI Proceedings.
Symposia proposals are accepted until:
May 27, 2026
If you wish to propose a new Special Session please kindly fill out and submit this
Expression of Interest form.
![]()
SYMPOSIA/SPECIAL SESSIONS LIST
HAIDX 2026, Special Session on Human–AI Decision Dynamics in Complex Systems
Chair(s): Thorsten Händler and Eva Eigner
Special Session on Human–AI Decision Dynamics in Complex Systems -
HAIDX
2026
Paper Submission:
July 31, 2026
Authors Notification:
September 9, 2026
Camera Ready and Registration:
September 18, 2026
Scope
The Special Session HAIDX focuses on the dynamics of decision-making in human–AI constellations, especially within complex and multi-agent environments. We invite contributions exploring cognitive, behavioral, interactional, and computational dimensions of how humans and AI systems coordinate decisions, share agency, manage resources, build trust, and resolve uncertainty. The session welcomes interdisciplinary perspectives from fields such as HCI, psychology, AI engineering, multi-agent systems, process management, game theory, and organizational behavior. Of particular interest are models, frameworks, empirical studies, experimental designs, and technical implementations that explain, analyze, or enhance human–AI decision dynamics under conditions of high-complexity. HAIDX aims to connect researchers across disciplines to advance a deeper understanding of hybrid decision ecosystems.