2025 Workshop on “AI for understanding human behavior in professional settings” (BEHAIV) at the 2025 European Conference on AI - ECAI2025.

A substantial amount of research has been devoted to the role of AI in understanding and supporting people at their work. There are mature AI solutions to support medical practitioners for diagnosis, decision-making, treatment planning and patient monitoring; to support managers with logistics, decision-making, financial planning and auditing; and teachers with e-learning platforms and student performance assessment tools. However, many solutions, even interactive ones, can neither perceive nor anticipate the condition of the working professionals - including fatigue, distress, and cognitive overload.

Goal of BEHAIV is to bring together researchers working on AI in support of professionals, to understand their expectations and information demands during decision making, to help them anticipate signals calling their attention, to detect fatigue and disturbances, to promote safety and satisfaction at work. Examples of professionals are: teachers who need to deal with foundational models used by their students, teachers who want to exploit AI in their courses, doctors who interact with models during treatment planning, managers who receive AI-collected pieces of information and need to make reliable decisions on them.

Workshop Programme

(Please note that assignment of papers to sessions is still tentative)

SESSION 1 (9:00-10:30)

  • Keynote by Jens Dörpinghaus The perception of AI in different labor market data
    Abstract: This presentation will discuss how AI is described in various types of labor market data in Germany, including online social media, job advertisements, and continuing education data. We will also explore how people discuss AI in workplaces and educational settings for decision support, safety, and learning. The results show that AI is not considered the same way in all occupational areas and reveal a variety of aspects that could lead to further research.
    Bio: Dr. Jens Dörpinghaus is a lecturer (privatdozent) in the Department of Computer Science at the University of Koblenz and a researcher at the Federal Institute for Vocational Education and Training in Germany. His research focuses on AI and data science in computational social sciences and digital humanities.

  • Explainable Next-Purchase Recommendations: A Multistakeholder Framework. MACIEJ MOZOLEWSKI, Honorata Zych, Sabri Manai, Krzysztof Kutt and Grzegorz J. Nalepa

  • Application of Spatio-Temporal Graph Convolutional Networks in Strength Sports: Predicting the One-Repetition Maximum (1-RM). MATEUSZ KUNIK, Marek Kowal and Krzysztof Patan

  • Counterfactual Explanation for Anomaly Detection using Graph Neural Network. Xiangyu Shi, ABHISHEK SRINIVASAN and Sepideh Pashami

SESSION 2 (11:00 - 12:30)

  • Embedding Analogies for Evaluating Emotion in LLM-Generated Utterances. SADEGH JAFARI, Els Lefever and Véronique Hoste

  • Comparing visual tools for pairwise comparisons of tabular data. ANNE ROTHER, Matteo Polsinelli, Till Ittermann, Giuseppe Placidi and Myra Spiliopoulou

  • Smart but Safe: How Industrial AI Challenges Existing Occupational Safety Regulations. DAGMAR GESMANN-NUISSL & STEFANIE MEYER

  • PANEL (30 min)

Description

We solicit contributions on the role of AI on any aspects of understanding the behavior of professionals, including but not limited to:

  • AI for Decision Support
  • AI for the Detection of Uncertainty, Fatigue, Cognitive Bias
  • AI for Human Activity Anticipation and Prediction
  • Explainable AI, Counterfactuals, Contrastive Learning
  • AI to Promote Safety at Work
  • Neurocognitive or Psychological Approaches for Behavior Understanding
  • Continuous learning for Decision Dupport
  • Affective Computing and Emotive User Interfaces
  • AI for the Analysis of Living and Working conditions
  • AI to support course design, tutoring, and grading
  • AI to support teachers inside the classroom

Important Dates (all times AOE):

  • Submission site opens: April 10, 2025
  • Paper submission deadline: extended to June 30, 2025
  • Transfer of ECAI rejected papers: July 15, 2025 (ECAI notification deadline is July 10, 2025)
  • Notification of acceptance: July 20, 2025
  • Workshop schedule announced: August 7, 2025
  • Camera-ready deadline: August 1, 2025
  • Workshop date: part of the pre-conference program (October 25-26, 2025)

Submission Procedure:

Papers must be written in English using the ECAI LaTeX template, prepared for single-blind reviewing, and not exceed 7 pages with an 8th page for references. Submissions are via easychair, following this link (easychair account needed).

Supplementary materials are not permitted, but the authors are allowed to provide links to code or data. Inspection of these materials is at the reviewers’ discretion, so the submitted papers must be self-standing. All submissions must adhere to the Ethics statement of ECAI 2025 (to be found under the CFP of ECAI 2025 Main track).

Accepted and presented BEHAIV papers will be published online in CEUR-WS.

Workshop Organizers:

Myra Spiliopoulou

Slawomir Nowaczyk

Marco Ragni

Jerzy Stefanowski

 

 

 

 

 

 

  • Myra Spiliopoulou, Otto von Guericke University, Germany, myra@ovgu.de
  • Slawomir Nowaczyk, CAISR, Halmstad University, Sweden, slawomir.nowaczyk@hh.se
  • Marco Ragni, Chemnitz University of Technology, Germany, marco.ragni@hsw.tu-chemnitz.de
  • Jerzy Stefanowski, Poznan University of Technology, Poland, jerzy.stefanowski@cs.put.poznan.pl

Contact for further information: behaiv_at_ecai2025 [at] googlegroups [dot] com

Program Committee:

  • Andreas Theissler, Aalen University of Applied Sciences, Germany
  • Cristina Soguero Ruíz, University ‘Rey Juan Carlos’, Madrid, Spain
  • Dariusz Brzeziński, Poznań University of Technology, Poland
  • Dawid Rymarczyk, Jagiellonian University, Kraków, Poland
  • Grzegorz Nalepa, Jagiellonian University, Kraków, Poland & Halmstad University, Sweden
  • Hubert Baniecki, University of Warsaw, Poland
  • Jiri Mekyska, Brno University of Technology, Czech Republic
  • Julia Arlinghaus, Otto von Guericke University Magdeburg, Germany
  • Piotr Skrzypczyński, Poznań University of Technology, Poland
  • Przemysław Biecek, Warsaw University of Technology, Poland
  • Rita P. Ribeiro, University of Porto & INESC TEC, Portugal