Cited By
View all- Chen TChen T(2024)Explainable Artificial Intelligence (XAI) with ApplicationsExplainable Ambient Intelligence (XAmI)10.1007/978-3-031-54935-9_2(23-38)Online publication date: 15-Mar-2024
XAI: Using Smart Photobooth for Explaining History of Art
Authors: 
Amro Najjar, Nina Hosseini-Kivanani, Igor Tchappi Haman, Yazan Mualla, Egberdien Van der Peijl, Daniel Karpati, Christoph SchommerAuthors Info & Claims
Amro Najjar, Nina Hosseini-Kivanani, Igor Tchappi Haman, Yazan Mualla, Egberdien Van der Peijl, Daniel Karpati, Christoph SchommerAuthors Info & ClaimsPages 256 - 259
Abstract
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.
References
[1]
Andre Bouchard. 2013. Gamification in the Arts.
[2]
Roberta Calegari, Giovanni Ciatto, and Andrea Omicini. 2020. On the integration of symbolic and sub-symbolic techniques for XAI: A survey. Intelligenza Artificiale 14 (09 2020), 1–25. https://doi.org/10.3233/IA-190036
[3]
Artur S. d’Avila Garcez, Krysia Broda, and Dov M. Gabbay. 2002. Neural-symbolic learning systems - foundations and applications. In Perspectives in neural computing.
[4]
Sebastian Deterding, Dan Dixon, Rilla Khaled, and Lennart Nacke. 2011. From Game Design Elements to Gamefulness: Defining Gamification. Proceedings of the 15th International Academic MindTrek Conference: Envisioning Future Media Environments, MindTrek 2011 11, 9–15. https://doi.org/10.1145/2181037.2181040
[5]
Natalia Díaz-Rodríguez and Galena Pisoni. 2020. Accessible Cultural Heritage through Explainable Artificial Intelligence. In Adjunct Publication of the 28th ACM Conference on User Modeling, Adaptation and Personalization(Genoa, Italy) (UMAP ’20 Adjunct). Association for Computing Machinery, New York, NY, USA, 317–324.
[6]
Juho Hamari and Vili Lehdonvirta. 2010. Game design as marketing: How game mechanics create demand for virtual goods. International Journal of Business Science and Applied Management 5 (01 2010), 14–29.
[7]
Robert Hoffman, Shane Mueller, Gary Klein, and Jordan Litman. 2018. Metrics for Explainable AI: Challenges and Prospects.
[8]
Kai Huotari and Juho Hamari. 2012. Defining Gamification - A Service Marketing Perspective. ACM J. https://doi.org/10.1145/2393132.2393137
[9]
Y. Jing, Y. Yang, Z. Feng, J. Ye, Y. Yu, and M. Song. 2020. Neural Style Transfer: A Review. IEEE Transactions on Visualization & Computer Graphics 26, 11(2020), 3365–3385.
[10]
Yazan Mualla, Timotheus Kampik, Igor H. Tchappi, Amro Najjar, Stéphane Galland, and Christophe Nicolle. 2020. Explainable Agents as Static Web Pages: UAV Simulation Example. In Explainable, Transparent Autonomous Agents and Multi-Agent Systems, Davide Calvaresi, Amro Najjar, Michael Winikoff, and Kary Främling (Eds.). Springer International Publishing, Cham, 149–154.
[11]
Katie Seaborn and Deborah Fels. 2015. Gamification in Theory and Action: A Survey. International Journal of Human-Computer Studies 74 (02 2015), 14–31. https://doi.org/10.1016/j.ijhcs.2014.09.006
[12]
Yuhang Zhao, Shaomei Wu, Lindsay Reynolds, and Shiri Azenkot. 2017. The Effect of Computer-Generated Descriptions on Photo-Sharing Experiences of People with Visual Impairments. Proc. ACM Hum.-Comput. Interact. 1, CSCW, Article 121 (dec 2017), 22 pages. https://doi.org/10.1145/3134756
Index Terms
- XAI: Using Smart Photobooth for Explaining History of Art
Recommendations
Toward XAI & Human Synergies to Explain the History of Art: The Smart Photobooth Project
Explainable and Transparent AI and Multi-Agent SystemsAbstractThe advent of Artificial Intelligence (AI) has brought about significant changes in our daily lives with applications including industry, smart cities, agriculture, and telemedicine. Despite the successes of AI in other “less-technical” domains, ...
Communicating art through interactive technology: new approaches for interaction design in art museums
NordiCHI '08: Proceedings of the 5th Nordic conference on Human-computer interaction: building bridgesThis paper discusses new approaches to interaction design for communication of art in the physical museum space. In contrast to the widespread utilization of interactive technologies in cultural heritage and natural science museums it is generally a ...
Postdramatic theatre in smart city design
AcademicMindtrek '16: Proceedings of the 20th International Academic Mindtrek ConferenceTheatre provides powerful ways to engage people in the development of visions for future interactions, yet theatre is seldom used beyond scenario acting in interaction design. In this workshop the participants are exposed to a novel understanding of ...
Comments
Information & Contributors
Information
Published In
December 2022
352 pages
ISBN:9781450393232
DOI:10.1145/3527188
Copyright © 2022 Owner/Author.
This work is licensed under a Creative Commons Attribution International 4.0 License.
In-Cooperation
Publisher
Association for Computing Machinery
New York, NY, United States
Publication History
Published: 05 December 2022
Check for updates
Author Tags
Qualifiers
- Short-paper
- Research
- Refereed limited
Conference
HAI '22
HAI '22: International Conference on Human-Agent Interaction
December 5 - 8, 2022
Christchurch, New Zealand
Acceptance Rates
Overall Acceptance Rate 121 of 404 submissions, 30%
Contributors
Other Metrics
Bibliometrics & Citations
Bibliometrics
Article Metrics
- View Citations1Total Citations
- 597Total Downloads
- Downloads (Last 12 months)441
- Downloads (Last 6 weeks)26
Reflects downloads up to 11 Aug 2024
Other Metrics
Citations
Cited By
View all- Chen TChen T(2024)Explainable Artificial Intelligence (XAI) with ApplicationsExplainable Ambient Intelligence (XAmI)10.1007/978-3-031-54935-9_2(23-38)Online publication date: 15-Mar-2024
View Options
View options
View or Download as a PDF file.
PDFeReader
View online with eReader.
eReaderHTML Format
View this article in HTML Format.
HTML FormatGet Access
Login options
Check if you have access through your login credentials or your institution to get full access on this article.
Sign in