AI-Powered User Experience and Interactions with Galleries, Libraries, Archives and Museum (GLAM)

The integration of Artificial Intelligence (AI) techniques, including machine learning, knowledge engineering, autonomous intelligent agents, distributed AI, Natural Language Processing (NLP), and generative AI, is set to transform human-machine interactions. In parallel, advancements in User eXperience (UX) research, particularly in Virtual and Augmented Reality (VR/AR), or holographic interfaces, are enabling more intuitive and effective ways to engage with digital systems. This paper explores the transformative potential of the joint use of these technologies in the context of libraries and the broader GLAM (Galleries, Libraries, Archives, and Museums) sector. This paper discusses these innovations alongside real-world use cases from the GLAM sector, currently being developed at the University of Geneva. They illustrate how AI-powered solutions combined with UX techniques are reshaping the way we interact with cultural and scientific knowledge, making it more accessible, engaging, and impactful for diverse audiences.

Authors

Institutions

Publication Details

Journal
Revue électronique suisse de science de l information (RESSI)
Published
2025-04-17
DOI
https://doi.org/10.55790/journals/ressi.2025.e1809
Citations
1
Primary Topic
Museums and Cultural Heritage
Type
article
Field-Weighted Citation Impact
15.79
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

AI-Powered User Experience and Interactions with Galleries, Libraries, Archives and Museum (GLAM)

Lamia Friha, Giovanna Di Marzo Serugendo
1 citations
Revue électronique suisse de science de l information (RESSI)
Museums and Cultural Heritage
15.79
article

AI-Powered User Experience and Interactions with Galleries, Libraries, Archives and Museum (GLAM)

Lamia Friha, Giovanna Di Marzo Serugendo
article en
1 citations

Abstract

The integration of Artificial Intelligence (AI) techniques, including machine learning, knowledge engineering, autonomous intelligent agents, distributed AI, Natural Language Processing (NLP), and generative AI, is set to transform human-machine interactions. In parallel, advancements in User eXperience (UX) research, particularly in Virtual and Augmented Reality (VR/AR), or holographic interfaces, are enabling more intuitive and effective ways to engage with digital systems. This paper explores the transformative potential of the joint use of these technologies in the context of libraries and the broader GLAM (Galleries, Libraries, Archives, and Museums) sector. This paper discusses these innovations alongside real-world use cases from the GLAM sector, currently being developed at the University of Geneva. They illustrate how AI-powered solutions combined with UX techniques are reshaping the way we interact with cultural and scientific knowledge, making it more accessible, engaging, and impactful for diverse audiences.

Revue électronique suisse de science de l information (RESSI)(Spécial CIHN24)
University of Geneva (CH)
Openalex Percentile: Top 3%
Museums and Cultural Heritage
15.79
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.