Full papers

• Developing Team Design Patterns for Hybrid Intelligence Systems
  Emma van Zoelen, Tina Mioch, Mani Tajaddini, Christian Fleiner, Stefani Tsaneva, Pietro Camin, Thiago S. Gouvea, Kim Baraka, Maaike H.T. de Boer and Mark A. Neerincx
• Designing Closed-Loop Models for Task Allocation
  Vijay Keswani, L. Elisa Celis, Krishnaram Kenthapadi and Matthew Lease
• Human Factors in Interactive Online Machine Learning
  Agnes Tegen, Paul Davidsson and Jan A. Persson
• On the Interdependence of Reliance Behavior and Accuracy in AI-Assisted Decision-Making
  Jakob Schoeffer, Johannes Jakubik, Michael Voessing, Niklas Kuehl and Gerhard Satzger
• A Conceptual Model for Implementing Explainable AI By Design: Results of an Empirical Study
  Martin Van Den Berg, Ouren Kuiper, Yvette van der Haas, Julie Gerlings, Danielle Sent and Stefan Leijnen
• A Hybrid Intelligence Approach to Training Generative Design Assistants: Partnership Between Human Experts and AI Enhanced Co-Creative Tools
  Yaoli Mao, Janet Rafner, Yi Wang and Jacob Sherson
• Review on the application area of decision-making algorithms in smart homes
  Lu Jin and Alexander Boden
• Hybrid Collective Intelligence for Decision Support in Complex Open-Ended Domains
  Vito Trianni, Andrea Giovanni Nuzzolese, Jaron Porciello, Ralf H. J. M. Kurvers, Stefan M. Herzog, Gioele Barabucci, Aleksandra Berditchevskaia and Fai Fung
• Visualizing Deep Neural Networks with Topographic Activation Maps
  Valerie Krug, Raihan Kabir Ratul, Christopher Olson and Sebastian Stober
• Interacting with Large Language Models: A Case Study on AI-Aided Brainstorming for Guesstimation Problems
  Vildan Salikutluk, Dorothea Koert and Frank Jäkel
• What can I do to help you? - A formal framework for agents reasoning about behavior change support for people
  Myrthe L. Tielman, Birna M. van Riemsdijk and Michael Winikoff

Working papers

• Value-aware active learning
  Burcu Sayin, Jie Yang, Andrea Passerini and Fabio Casati
• Electrifying Obstacle Avoidance: Enhancing Teleoperation of Robots with EMS-Assisted Obstacle Avoidance
  Ambika Shahu, Khaled Kassem, Leonhard Zehetgruber, Philipp Wintersberger and Florian Michahelles
• Egocentric Hierarchical Visual Semantics
  Luca Erculiani, Andrea Bontempelli, Andrea Passerini and Fausto Giunchiglia
• How Displaying AI Confidence Affects Reliance and Hybrid Human-AI Performance
  Heliodoro Tejeda Lemus, Aakriti Kumar and Mark Steyvers
• Legal-Ethical Challenges and Technological Solutions to Health Data Consent in the EU
  Xengie Doan, Sarah E. Carter and Marcu Florea
• Organizations interpersonal activity knowledge representation
  Serge Sonfack Sounchio, Thierry Coudert, Bernard Kamsu Foguem, Laurent Geneste, Cédrick Beler and Sina Namakiaraghi
• Design of a Human-in-the-Loop Centred AI-Based Clinical Decision Support System for Professional Care Planning
  Laura Steffny, Nanna Dahlem, Lea Reichl, Kevin Gisa, Tobias Greff and Dirk Werth
• Assisting the Assistant: a Cobot for Voice Customer Support
  Mario Corrado, Vincenzo Giliberti, Manuel Gozzi, Vincenzo Lanzolla, Guido Vetere and Domenico Zurlo
• Towards Explainable Automatic Knowledge Graph Construction with Human-in-the-loop
  Bohui Zhang, Albert Meroño Peñuela and Elena Simperl
• Co-Performing Music with AI: Real-Time Performance Control Using Speech and Gestures
  Ilya Borovik and Vladimir Viro
• Ethical preferences in the digital world: the EXOSOUL questionnaire
  Donatella Donati, Costanza Alfieri, Simone Gozzano, Marco Segala and Lorenzo Greco
• Reinforcement Learning Requires Human-in-the-Loop Framing and Approaches
  Matthew E. Taylor
• A prototype hybrid prediction market for estimating replicability of published work
  Tatiana Chakravorti, Robert Fraleigh, Timothy Fritton, Michael McLaughlin, Vaibhav Singh, Christopher Griffin, Anthony Kwasnica, David Pennock, C. Lee Giles and Sarah Rajtmajer

Extended Abstracts

• Humans vs. Machines: Who is Perceived to Decide Fairer? An Experiment about Citizens Attitudes
  Christoph Kern, Frederic Gerdon, Ruben L. Bach, Florian Keusch and Frauke Kreuter
• Value-based Hybrid Intelligence
  Burcu Sayin, Jie Yang, Andrea Passerini and Fabio Casati
• Validation of a Measure of Trust in Artificial Intelligence
  Melanie McGrath, Oliver Lack, James Tisch and Andreas Duenser
• Towards Robots that Meet Users' Need for Explanation
  Sonja Stange and Stefan Kopp
• Quod Erat Demonstrandum? Towards a typology of the concept of explanation for the design of explainable AI
  Federico Cabitza, Andrea Campagner, Gianclaudio Malgieri, Chiara Natali, David Schneeberger, Karl Stoeger and Andreas Holzinger
• Interactively Learning Behavior Trees from Imperfect Human Demonstrations
  Lisa Scherf, Aljoscha Schmidt, Suman Pal and Dorothea Koert