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Human-Centered AI The "HAI - Human-Centered AI" group researches and designs artificial intelligence that puts people at the centre of what is happening. Approaches are being developed that make AI systems transparent and examine the effects of such approaches on acceptance and trust not only on the part of the stakeholders concerned, but also at the societal level. To this end, technological methods from three research areas are combined: "Explainable and Interpretable AI", "Human-Centred and Interactive Design in AI" and "Good AI for Society".
The use of Artificial Intelligence has entered many application areas, mainly thanks to the wide availability of Deep Learning approaches together with their models and tools. Many of these concepts are tangible: for example, when we think of the new results of image analysis, where photos can be automatically labelled with content elements, objects on images can be uniquely recognised or the digital voice assistant recognises our language and keeps shopping lists for us.
Even with these applications, it is important for both technical experts and users to understand how the neural network came to its decision and what factors influenced this decision. In many other areas, AI technologies will be integrated into complex socio-technical systems in the future and clearly influence our lives, for example, supporting automated or semi-automated decisions and changing work processes.
In a future in which we humans will be empowered with and through digital technologies to successfully solve complex tasks and problems and thus benefit from technology in our everyday and professional lives, it is elementary to create transparency about the capabilities and limitations of AI-supported systems and to offer explanations of AI decision-making - especially also in order to be able to provide targeted support for people with very different qualification levels and abilities.
Persons 
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Dr. Ing. Larbi Abdenebaoui
E-Mail: larbi.abdenebaoui(at)offis.de, Phone: +49 441 9722-730, Room: Flx-S
Saja Aljuneidi-Dückino
E-Mail: saja.aljuneidi-dueckino(at)offis.de, Phone: +49 441 9722-520, Room: Flx-S
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Projects
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Ability
Haptic Tablet For The Accessibility of Digital Content to the Visually Impaired
Duration: 2022 - 2025D
Digitopias
DIGItal TechnOlogies for Participation and InterAction in Society - Digital Technologies for Participation and Interaction in and with Society
Duration: 2022 - 2026 Publications
2025
Analysis of Driver and Pedestrian Gesture Use in the Boston Area. Automated Vehicles May Need More Than Kinematics in Ambiguous Situations
Şahin İppoliti, Hatice and Weibert, Alexander and Manstetten, Dietrich and Reimer, Bryan and Gershon, Pnina and Mehler, Bruce L and Abdenebaoui, Larbi; Adjunct Proceedings of the 17th International Conference on Automotive User Interfaces and Interactive Vehicular Applications; October / 2025
Comparison of Knowledge Distillation Methods for Low-Complexity Multi-microphone Speech Enhancement using the FT-JNF Architecture
Metzger, Robert and Ohlenbusch, Mattes and Rollwage, Christian and Doclo, Simon; ITG Conference on Speech Communication; 2025
Enhancing Image Accessibility in Educational Contexts for Blind and Visually Impaired Learners Through Integrated Computer Vision Techniques
Salous, Mazen and Riecken, John-Uwe and Heuten, Wilko and Abdenaboui, Larbi; Technology for Inclusion and Participation for All: Recent Achievements and Future Directions; 2025
Semi-Automatic BVI Human-Centered Image Conversational Descriptions: Leveraging LLMs and Expert Refinements for Inclusive Visual Accessibility
Salous, Mazen and Lange, Daniel and Reeken, Timo Von and Wolters, Maria and Heuten, Wilko and Boll, Sussane and Abdenebaoui, Larbi; IEEE Access; 2025
SweePix! A Machine Learning Driven Gallery Cleaning App Adapted to User Behavior
Şahin İppoliti, Hatice and Bender-Saebelkampf, Christian and Abdenebaoui, Larbi; Adjunct Proceedings of the 27th International Conference on Mobile Human-Computer Interaction; September / 2025
Un-trusting the Chat: Designing for Calibrated Trust in Retrieval-Augmented Conversations
von Reeken, Timo and Salous, Mazen and Abdenebaoui, Larbi; Proceedings of the 7th ACM Conference on Conversational User Interfaces; July / 2025
Value-Driven Design for Public Administration: Insights from a Generative Chatbot in a Housing Application Case Study
Abdenebaoui, Larbi and Aljuneidi, Saja and Horstmannshoff, Fynn and Meyer, Jochen and Boll, Susanne; Proceedings of the 2025 ACM Conference on Fairness, Accountability, and Transparency; 2025
2024
2nd Workshop on Cars As Social Agents (CarSA): Interdisciplinary Perspectives on Human-Vehicle Interaction
Babel, Franziska and Thellman, Sam and Pelikan, Hannah Rm and Şahin Ippoliti, Hatice and Ziemke, Tom; Adjunct Proceedings of the 2024 Nordic Conference on Human-Computer Interaction; 2024
Designing Technologies for Socially and Environmentally Sustainable Mobility
Sadeghian, Shadan and Şahin Ippoliti, Hatice and Dey, Debargha and Wintersberger, Philipp; Adjunct Proceedings of the 16th International Conference on Automotive User Interfaces and Interactive Vehicular Applications; 2024
Development and classification of autonomous vehicle’s ambiguous driving scenario
Baby, Tiju and Ippoliti, Hatice Şahin and Wintersberger, Philipp and Zhang, Yiqi and Yoon, Sol Hee and Lee, Jieun and Lee, Seul Chan; Accident Analysis & Prevention; 2024
