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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 - 2025 Publications
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
Enhancing Citizen Accessibility to Public Services: A Case Study on AI-Assisted Application for Housing Entitlement Certificates
Abdenebaoui, Larbi and Aljuneidi, Saja and Meyer, Jochen and Boll, Susanne; INFORMATIK 2024; 2024
Five Years of Automated Shuttles: Surveying Community Experiences and Road Conflicts for Future Development
Weidel, My Elisabeth and Şahin Ippoliti, Hatice; Adjunct Proceedings of the 16th International Conference on Automotive User Interfaces and Interactive Vehicular Applications; 2024
Why the Fine, AI? The Effect of Explanation Level on Citizens' Fairness Perception of AI-based Discretion in Public Administrations
Aljuneidi, Saja and Heuten, Wilko and Abdenebaoui, Larbi and Wolters, Maria K and Boll, Susanne; Proceedings of the CHI Conference on Human Factors in Computing Systems; 2024
2023
Did That AI Just Charge Me a Fine? Citizens’ Perceptions of AI-Based Discretion in Public Administration
Aljuneidi, Saja and Heuten, Wilko and Tepe, Markus and Boll, Susanne; Proceedings of the 2023 ACM Conference on Information Technology for Social Good; 2023
Explaining Image Aesthetics Assessment: An Interactive Approach
Schultze, Sven and Withöft, Ani and Abdenebaoui, Larbi and Boll, Susanne; Proceedings of the 2023 ACM International Conference on Multimedia Retrieval; Juni / 2023
Towards AI-based Accessible Digital Media: Image Analysis Pipelines and Blind User Studies
Salous, Mazen and Lange, Daniel and Von Reeken, Timo and Heuten, Wilko and Boll, Susanne and Abdenebaoui, Larbi; 2023 IEEE International Conference on Systems, Man, and Cybernetics (SMC); 2023
2022
ILMICA - Interactive Learning Model of Image Collage Assessment: A Transfer Learning Approach for Aesthetic Principles
Withöft, Ani and Abdenebaoui, Larbi and Boll, Susanne; International Conference on Multimedia Modeling; 2022
