Reference : XAI: Using Smart Photobooth for Explaining History of Art
Scientific congresses, symposiums and conference proceedings : Paper published in a book
Engineering, computing & technology : Computer science
Computational Sciences
http://hdl.handle.net/10993/53192
XAI: Using Smart Photobooth for Explaining History of Art
English
Najjar, Amro mailto [University of Luxembourg > Faculty of Science, Technology and Medicine (FSTM) > Department of Computer Science (DCS) >]
Hosseini Kivanani, Nina mailto [University of Luxembourg > Faculty of Science, Technology and Medicine (FSTM) > Department of Computer Science (DCS) >]
Tchappi Haman, Igor mailto [University of Luxembourg > Faculty of Science, Technology and Medicine (FSTM) > Department of Computer Science (DCS) >]
Mualla, Yazan mailto []
Van der Peijl, Egberdien mailto []
Karpati, Daniel mailto [University of Luxembourg > Faculty of Science, Technology and Medicine (FSTM) > Department of Computer Science (DCS) >]
Schommer, Christoph mailto [University of Luxembourg > Faculty of Science, Technology and Medicine (FSTM) > Department of Computer Science (DCS) >]
Dec-2022
XAI: Using Smart Photobooth for Explaining History of Art
256-259
Yes
International
International Conference on Human-Agent Interaction
5-12-2022 to 8-12-2022
Christchurch
New Zealand
[en] User-Centred Design ; User Experience
[en] The rise of Artificial Intelligence has led to advancements in daily life, including applications in industries, telemedicine, farming, and smart cities. It is necessary to have human-AI synergies to guarantee user engagement and provide interactive expert knowledge, despite AI’s success in "less technical" fields. In this article, the possible synergies between humans and AI to explain the development of art history and artistic style transfer are discussed. This study is part of the "Smart Photobooth" project that is able to automatically transform a user’s picture into a well-known artistic style as an interactive approach to introduce the fundamentals of the history of art to the common people and provide them with a concise explanation of the various art painting styles. This study investigates human-AI synergies by combining the explanation produced by an explainable AI mechanism with a human expert’s insights to provide reasons for school students and a larger audience.
http://hdl.handle.net/10993/53192
10.1145/3527188.3563914
https://dl.acm.org/doi/abs/10.1145/3527188.3563914
FnR ; FNR14589586 > Leon Van Der Torre > EXPECTATION > Personalized Explainable Artificial Intelligence For Decentralized Agents With Heterogeneous Knowledge > 01/04/2021 > 31/03/2024 > 2020

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