Human-Centered Artificial Intelligence for Designing Accessible Cultural Heritage
1
Polytech Nice Sophia, Campus SophiaTech, Université Côte d’Azur, 930 Route des Colles, 06410 Biot Sophia Antipolis, France
2
Computer Science and Systems Engineering Dept., Autonomous Systems and Robotics Lab, ENSTA, Institut Polytechnique Paris, INRIA Flowers Team, 91762 Paris, France
3
Department of Instructional Technology, University of Twente, 7522 NB Enschede, The Netherlands
4
Department of Information Engineering and Computer Science, University of Trento, 38122 Trento, Italy
*
Author to whom correspondence should be addressed.
†
Equal contribution.
Appl. Sci. 2021, 11(2), 870; https://doi.org/10.3390/app11020870
Received: 22 December 2020
/
Revised: 5 January 2021
/
Accepted: 8 January 2021
/
Published: 19 January 2021
(This article belongs to the Special Issue AI and HCI Methods and Techniques for Cultural Heritage Curation, Exploration and Fruition)
This paper reviews the literature concerning technology used for creating and delivering accessible museum and cultural heritage sites experiences. It highlights the importance of the delivery suited for everyone from different areas of expertise, namely interaction design, pedagogical and participatory design, and it presents how recent and future artificial intelligence (AI) developments can be used for this aim, i.e.,improving and widening online and in situ accessibility. From the literature review analysis, we articulate a conceptual framework that incorporates key elements that constitute museum and cultural heritage online experiences and how these elements are related to each other. Concrete opportunities for future directions empirical research for accessibility of cultural heritage contents are suggested and further discussed.
View Full-Text
Keywords:
accessibility; cultural heritage; museums; participatory design; pedagogical design; artificial intelligence; explainable artificial intelligence; generative models; natural language processing; image captioning
▼
Show Figures
Figure 1
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
MDPI and ACS Style
Pisoni, G.; Díaz-Rodríguez, N.; Gijlers, H.; Tonolli, L. Human-Centered Artificial Intelligence for Designing Accessible Cultural Heritage. Appl. Sci. 2021, 11, 870. https://doi.org/10.3390/app11020870
AMA Style
Pisoni G, Díaz-Rodríguez N, Gijlers H, Tonolli L. Human-Centered Artificial Intelligence for Designing Accessible Cultural Heritage. Applied Sciences. 2021; 11(2):870. https://doi.org/10.3390/app11020870
Chicago/Turabian StylePisoni, Galena, Natalia Díaz-Rodríguez, Hannie Gijlers, and Linda Tonolli. 2021. "Human-Centered Artificial Intelligence for Designing Accessible Cultural Heritage" Applied Sciences 11, no. 2: 870. https://doi.org/10.3390/app11020870
Find Other Styles
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.
