Human-Centered Artificial Intelligence for Designing Accessible Cultural Heritage

Galena Pisoni; Natalia Diaz-Rodriguez; Hannie A. Gijlers; Linda Tonolli

doi:10.3390/app11020870

Human-Centered Artificial Intelligence for Designing Accessible Cultural Heritage

Galena Pisoni, Natalia Diaz-Rodriguez, Hannie A. Gijlers, Linda Tonolli

Research output: Contribution to journal › Article › Academic › peer-review

20 Citations (Scopus)

152 Downloads (Pure)

Abstract

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

Original language	English
Article number	870
Number of pages	30
Journal	Applied Sciences
Volume	11
Issue number	2
DOIs	https://doi.org/10.3390/app11020870
Publication status	Published - 19 Jan 2021

Keywords

accessibility; cultural heritage; museums; participatory design; pedagogical design; artificial intelligence; explainable artificial intelligence; generative models; natural language processing; image captioning

Access to Document

10.3390/app11020870Licence: CC BY

10.3390_app11020870Final published version, 602 KBLicence: CC BY

Cite this

@article{aee900fde7c14f6e91b4a45d0a50335a,

title = "Human-Centered Artificial Intelligence for Designing Accessible Cultural Heritage",

abstract = "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",

keywords = "accessibility; cultural heritage; museums; participatory design; pedagogical design; artificial intelligence; explainable artificial intelligence; generative models; natural language processing; image captioning",

author = "Galena Pisoni and Natalia Diaz-Rodriguez and Gijlers, {Hannie A.} and Linda Tonolli",

note = "Funding Information: This research was funded through the industrial CIFRE PhD contract among ENSTA Paris and SEGULA Technologies. L. Tonolli acknowledges Fondazione Caritro as funding body permitting this research. Publisher Copyright: {\textcopyright} 2021 by the authors. Licensee MDPI, Basel, Switzerland.",

year = "2021",

month = jan,

day = "19",

doi = "10.3390/app11020870",

language = "English",

volume = "11",

journal = "Applied Sciences",

issn = "2076-3417",

publisher = "MDPI",

number = "2",

}

TY - JOUR

T1 - Human-Centered Artificial Intelligence for Designing Accessible Cultural Heritage

AU - Pisoni, Galena

AU - Diaz-Rodriguez, Natalia

AU - Gijlers, Hannie A.

AU - Tonolli, Linda

N1 - Funding Information: This research was funded through the industrial CIFRE PhD contract among ENSTA Paris and SEGULA Technologies. L. Tonolli acknowledges Fondazione Caritro as funding body permitting this research. Publisher Copyright: © 2021 by the authors. Licensee MDPI, Basel, Switzerland.

PY - 2021/1/19

Y1 - 2021/1/19

N2 - 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

AB - 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

KW - accessibility; cultural heritage; museums; participatory design; pedagogical design; artificial intelligence; explainable artificial intelligence; generative models; natural language processing; image captioning

U2 - 10.3390/app11020870

DO - 10.3390/app11020870

M3 - Article

VL - 11

JO - Applied Sciences

JF - Applied Sciences

SN - 2076-3417

IS - 2

M1 - 870

ER -

Human-Centered Artificial Intelligence for Designing Accessible Cultural Heritage

Abstract

Keywords

Access to Document

Fingerprint

Cite this