Christian Fleiner’s research while affiliated with KU Leuven and other places

Domain experts are one of the most important knowledge sources when building a knowledge base. However, communication about uncertain states and events is prone to misinterpretations and misunderstandings, because people prefer to convey probability estimations by verbal probability expressions (VPEs) which have a high between-subject variability. Additionally, several biases exist when expressing uncertainty verbally. Nevertheless, the application of VPEs might be necessary. Therefore, means must be identified to manage VPEs and to translate them into numeric values appropriately. In this paper, we propose a co-learning approach with example to efficiently and effectively communicate (subjective) probabilities of states and events in teams where human and AI team members are familiarized with the translation between VPEs and numeric values until both parties are capable of using solely numeric values.

With artificial intelligence (AI) systems entering our working and leisure environments with increasing adaptation and learning capabilities, new opportunities arise for developing hybrid (human-AI) intelligence (HI) systems, comprising new ways of collaboration. However, there is not yet a structured way of specifying design solutions of collaboration for hybrid intelligence (HI) systems and there is a lack of best practices shared across application domains. We address this gap by investigating the generalization of specific design solutions into design patterns that can be shared and applied in different contexts. We present a human-centered bottom-up approach for the specification of design solutions and their abstraction into team design patterns. We apply the proposed approach for 4 concrete HI use cases and show the successful extraction of team design patterns that are generalizable, providing re-usable design components across various domains. This work advances previous research on team design patterns and designing applications of HI systems.