CogSIMA 2027: 17th Conference on Cognitive and Computational Aspects of Situation Management University of Pannonia Veszprém, Hungary, June 1-4, 2027

How do humans and intelligent systems understand what is happening around them — and use that understanding to predict, decide, collaborate, and act effectively and responsibly?

Now in its 17th edition, CogSIMA brings together researchers across AI and machine learning, cognitive science, human factors and ergonomics, robotics and autonomous systems, information fusion, modeling and simulation, and systems engineering to advance the interdisciplinary study of situation awareness, situation assessment, and cognitive situation management.

We welcome research that advances human and/or machine situation understanding by developing, applying, or critically examining approaches and perspectives from areas such as multimodal information fusion; AI agents, foundation models and generative AI; reinforcement learning and world models; human-AI and human-robot interaction; shared situation awareness; trust and appropriate reliance; explainability and human oversight; safety and responsible AI; decision-making under uncertainty; and situation-aware systems in real-world applications.

Regular Papers (6–8 pages) receive a dedicated 15–20 minute oral presentation.
Emerging Research / Poster Papers (3–5 pages) are also welcome and will be presented in the poster session.
Accepted and presented papers in both categories will be included in the proceedings submitted for publication in IEEE Xplore. CogSIMA also presents Best Paper and Best Student Paper Awards.

Submission deadline: 4 December 2026

Full CFP & submission information: https://2027.cogsima.org

TOPICS OF INTEREST

Topics include, but are not limited to:

Situation Perception, Understanding & Representation

• Human situation awareness, perception, comprehension, and projection
• Situation perception, assessment, comprehension, and prediction in intelligent systems
• Multisensor, multimodal, and multisource information integration and fusion
• Cognitive information fusion
• Mental models and cognitive representations
• Knowledge representation, ontologies, and computational situation models
• Context modeling and identification
• Empirical methods for studying situation awareness and situated cognition

Reasoning, Prediction & Decision-Making

• Human decision-making under uncertainty
• Machine learning for situation understanding and management
• Situation assessment in reinforcement learning
• Autonomous and intelligent agents
• Predictive models, world models, and model-based decision-making
• Foundation models and generative AI for situated reasoning and interaction
• Explainable, interpretable, trustworthy, and uncertainty-aware AI
• Spatial, temporal, causal, and commonsense reasoning
• Reasoning about goals, intentions, actions, and future situations
• Uncertainty representation and reasoning

Human- Machine Interaction & Collaboration

• Human-AI and human-robot interaction and teaming
• Shared and distributed situation awareness
• Human oversight and supervisory control
• Adaptive automation, adjustable autonomy, and shared control
• Multi- agent and mixed-initiative systems
• Trust, appropriate reliance, misuse, disuse, and overreliance
• Explainability, transparency, and uncertainty communication

Safety, Responsibility & Human Performance

• Attention, workload, cognitive load, and adaptive performance
• Automation bias, complacency, and out-of-the-loop performance
• Human error and resilience
• Responsible and human-centered AI
• Accountability and responsibility in machine- mediated decision-making
• Safety, reliability, related measures, robustness, and fail-safe interaction
• Ethical and societal considerations

Systems, Evaluation & Applications

• Systems, architectures, platforms, and tools for situation awareness and decision support
• Benchmarks and datasets for situation-aware systems
• Evaluation methodologies and metrics for human, machine, and hybrid situation awareness
• Measures of human-machine team effectiveness
• Real-world experiments, field studies, testbeds, and application-driven research
• Safety- critical human-machine systems
• Robotics and autonomous systems
• Intelligent transportation and autonomous vehicles
• Emergency and disaster response
• Cybersecurity and cyber-physical- social systems
• Cyber situation awareness and human-AI teaming in security operations
• Adversarial threats to situation-aware autonomous and agentic systems
• Command and control
• Healthcare and medical decision support
• Industrial systems and process control
• Human- centric manufacturing, Operator 4.0/5.0 and industrial human-AI collaboration
• Training, simulation, and decision-support environments

VENUE

CogSIMA 2027 will be hosted by the University of Pannonia in Veszprém, Hungary, from 1–4 June 2027.

Veszprém is one of Hungary's oldest cities and was a European Capital of Culture in 2023. Located near Lake Balaton, the largest lake in Central Europe, it combines a historic city center and active cultural life with access to one of Hungary's best-known natural and recreational regions.

Veszprém is approximately 120 km from Budapest and is accessible through Budapest's international transportation connections. It can be reached from Budapest by train in approximately 1.5 hours.

IMPORTANT DATES

Paper submission: 04 December 2026

Acceptance notification: 25 February 2027

Camera- ready submission: 25 March 2027

Conference: 1 - 4 June 2027

JOIN THE COGSIMA COMMUNITY

Bring work that crosses boundaries. Present it to a focused interdisciplinary audience. Discuss it in depth. And help advance our understanding of how humans and machines can perceive, comprehend, communicate, decide, and act effectively in complex situations.

For further information and updates on submission guidelines, author requirements, program announcements, and venue, please consult:

https://2027.cogsima.org