Special Issue "AI and HCI Methods and Techniques for Cultural Heritage Curation, Exploration and Fruition"

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Computing and Artificial Intelligence".

Deadline for manuscript submissions: closed (30 April 2021) | Viewed by 16443

Special Issue Editors

Prof. Dr. Liliana Ardissono
E-Mail Website
Guest Editor
University of Torino, Italy
Interests: user modeling; personalization; participatory geographic information systems
Dr. George E. Raptis
E-Mail Website
Guest Editor
Industrial Systems Institute of ATHENA Research and Innovation Center, 265 04 Patra, Greece
Interests: usable security; modeling; security and privacy
Special Issues, Collections and Topics in MDPI journals
Dr. Noemi Mauro
E-Mail Website
Guest Editor
University of Torino, Italy
Interests: recommender systems; personalization; cultural heritage information exploration; information search support

Special Issue Information

Dear Colleagues,

The richness of tangible and intangible Cultural Heritage (CH) poses great opportunities and challenges to the development of successful ICT tools for its curation, exploration and fruition. On the one hand, the digitalization of information is not enough to support a rich presentation of CH content if it is not sustained by curation methods enhancing information discovery, analysis and interactive visualization. On the other hand, as CH sites are extremely rich in objects and data, they expose people to much more information than it might be realistically experienced; therefore, efficient methods for information search, filtering and presentation are needed to help users find the items they are most interested in and to explore them online and onsite, focusing on personal viewpoints and information needs.

This Special Issue aims at collecting leading research at the intersection of Artificial Intelligence, Human-Computer Interaction and Cultural Heritage in an effort to highlight the latest exciting developments in this field and to discuss methods and techniques for designing, implementing and evaluating digital services for Cultural Heritage curation, exploration and fruition. We encourage the submission of research papers describing theoretical and experimental contributions, as well as visionary contributions discussing research trends and future perspectives in this field. In both cases, papers should describe mature work and include experimental validations of the proposed models, or a thorough analysis of the ground for future developments.

Topics of interest for the special issue include (but are not limited to):

  • Creativity and collaboration support in CH
  • Semantic knowledge representation and reasoning in CH
  • Mobile museum guides
  • 3D and virtual reality for CH
  • Gestural interfaces for Cultural Heritage applications
  • Navigation and browsing in digital and physical cultural heritage collections
  • Interactive user interfaces for CH applications
  • Personalization and recommendation strategies for CH
  • NLP techniques for accessing CH information
  • Integration of virtual and physical collections
  • Context-aware information presentation in CH
  • Collective CH information authoring and management
  • IoT and Cultural Heritage
  • Living lab in museum
  • Robots in museums
  • Augmented Reality for Cultural Heritage
  • Use of Personality for guiding Cultural Heritage Experiences
  • Visualization techniques in CH
  • Multimodal interaction in CH

Prof. Dr. Liliana Ardissono
Dr. George E. Raptis
Dr. Noemi Mauro
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Applied Sciences is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2300 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • Creativity
  • Collaboration
  • Semantic knowledge representation and reasoning
  • Museum guides
  • 3D and Virtual Reality
  • Gestural Interfaces
  • Information exploration
  • Interactive User Interfaces
  • Personalization
  • Recommender systems
  • Natural Language Processing
  • Context-awareness
  • IoT
  • Living lab
  • Robots
  • Augmented Reality
  • Personality
  • InfoViz
  • Multimodal interaction

Published Papers (8 papers)

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Editorial

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Editorial
Special Issue on AI and HCI Methods and Techniques for Cultural Heritage Curation, Exploration and Fruition
Appl. Sci. 2022, 12(19), 10118; https://doi.org/10.3390/app121910118 - 08 Oct 2022
Viewed by 498
Abstract
The richness of tangible and intangible cultural heritage (CH) poses great opportunities and challenges in the development of successful information and communications technology (ICT) tools for its curation, exploration and fruition [...] Full article

Research

Jump to: Editorial

Article
Fostering the Creation of Personalized Content for Cultural Visits
Appl. Sci. 2021, 11(16), 7401; https://doi.org/10.3390/app11167401 - 12 Aug 2021
Cited by 1 | Viewed by 901
Abstract
Among more dramatic effects, the COVID-19 scenario also raised the need for new online information and communication services, promoting the spread of software solutions whose usefulness will last well beyond the pandemic situation. Particularly in the cultural heritage domain, it has been unveiled [...] Read more.
Among more dramatic effects, the COVID-19 scenario also raised the need for new online information and communication services, promoting the spread of software solutions whose usefulness will last well beyond the pandemic situation. Particularly in the cultural heritage domain, it has been unveiled the relevance of new AI-based approaches, able to dynamically aggregate information and making them available for a customized fruition aimed to the individual cultural growth. Here, we integrate machine learning techniques for the automatic generation of contents for an intelligent tutoring system grounded on automated planning techniques. We present a solution for semantic, intelligent creation of personalized cultural contents, born as a lesson-making assistant, but developed as to become a multi-function “cultural crossover”, useful in the frame of a wide range of planning, dissemination, and managing activities for cultural heritage contents. Full article
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Article
A Context-Aware Middleware for Context Modeling and Reasoning: A Case-Study in Smart Cultural Spaces
Appl. Sci. 2021, 11(13), 5770; https://doi.org/10.3390/app11135770 - 22 Jun 2021
Cited by 5 | Viewed by 1951
Abstract
The proliferation of smart things and the subsequent emergence of the Internet of Things has motivated the deployment of intelligent spaces that provide automated services to users. Context-awareness refers to the ability of the system to be aware of the virtual and physical [...] Read more.
The proliferation of smart things and the subsequent emergence of the Internet of Things has motivated the deployment of intelligent spaces that provide automated services to users. Context-awareness refers to the ability of the system to be aware of the virtual and physical environment, allowing more efficient personalization. Context modeling and reasoning are two important aspects of context-aware computing, since they enable the representation of contextual data and inference of high-level, meaningful information. Context-awareness middleware systems integrate context modeling and reasoning, providing abstraction and supporting heterogeneous context streams. In this work, such a context-awareness middleware system is presented, which integrates a proposed context model based on the adaptation and combination of the most prominent context categorization schemata. A hybrid reasoning procedure, which combines multiple techniques, is also proposed and integrated. The proposed system was evaluated in a real-case-scenario cultural space, which supports preventive conservation. The evaluation showed that the proposed system efficiently addressed both conceptual aspects, through means of representation and reasoning, and implementation aspects, through means of performance. Full article
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Article
Wikidata Support in the Creation of Rich Semantic Metadata for Historical Archives
Appl. Sci. 2021, 11(10), 4378; https://doi.org/10.3390/app11104378 - 12 May 2021
Cited by 1 | Viewed by 1117
Abstract
The research question this paper aims at answering is the following: In an ontology-driven annotation system, can the information extracted from external resources (namely, Wikidata) provide users with useful suggestions in the characterization of entities used for the annotation of documents from historical [...] Read more.
The research question this paper aims at answering is the following: In an ontology-driven annotation system, can the information extracted from external resources (namely, Wikidata) provide users with useful suggestions in the characterization of entities used for the annotation of documents from historical archives? The context of the research is the PRiSMHA project, in which the main goal is the development of a proof-of-concept prototype ontology-driven system for semantic metadata generation. The assumption behind this effort is that an effective access to historical archives needs a rich semantic knowledge, relying on a domain ontology, that describes the content of archival resources. In the paper, we present a new feature of the annotation system: when characterizing a new entity (e.g., a person), some properties describing it are automatically pre-filled in, and more complex semantic representations (e.g., events the entity is involved in) are suggested; both kinds of suggestions are based on information retrieved from Wikidata. In the paper, we describe the automatic algorithm devised to support the definition of the mappings between the Wikidata semantic model and the PRiSMHA ontology, as well as the process used to extract information from Wikidata and to generate suggestions based on the defined mappings. Finally, we discuss the results of a qualitative evaluation of the suggestions, which provides a positive answer to the initial research question and indicates possible improvements. Full article
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Article
A UWB-Driven Self-Actuated Projector Platform for Interactive Augmented Reality Applications
Appl. Sci. 2021, 11(6), 2871; https://doi.org/10.3390/app11062871 - 23 Mar 2021
Cited by 5 | Viewed by 2034
Abstract
With the rapid development of interactive technology, creating systems that allow users to define their interactive envelope freely and provide multi-interactive modalities is important to build up an intuitive interactive space. We present an indoor interactive system where a human can customize and [...] Read more.
With the rapid development of interactive technology, creating systems that allow users to define their interactive envelope freely and provide multi-interactive modalities is important to build up an intuitive interactive space. We present an indoor interactive system where a human can customize and interact through a projected screen utilizing the surrounding surfaces. An ultra-wideband (UWB) wireless sensor network was used to assist human-centered interaction design and navigate the self-actuated projector platform. We developed a UWB-based calibration algorithm to facilitate the interaction with the customized projected screens, where a hand-held input device was designed to perform mid-air interactive functions. Sixteen participants were recruited to evaluate the system performance. A prototype level implementation was tested inside a simulated museum environment, where a self-actuated projector provides interactive explanatory content for the on-display artifacts under the user’s command. Our results depict the applicability to designate the interactive screen efficiently indoors and interact with the augmented content with reasonable accuracy and relatively low workload. Our findings also provide valuable user experience information regarding the design of mobile and projection-based augmented reality systems, with the ability to overcome the limitations of other conventional techniques. Full article
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Article
MuMIA: Multimodal Interactions to Better Understand Art Contexts
Appl. Sci. 2021, 11(6), 2695; https://doi.org/10.3390/app11062695 - 17 Mar 2021
Cited by 3 | Viewed by 1282
Abstract
Cultural heritage is a challenging domain of application for novel interactive technologies, where varying aspects in the way that cultural assets are delivered play a major role in enhancing the visitor experience, either onsite or online. Technology-supported natural human–computer interaction that is based [...] Read more.
Cultural heritage is a challenging domain of application for novel interactive technologies, where varying aspects in the way that cultural assets are delivered play a major role in enhancing the visitor experience, either onsite or online. Technology-supported natural human–computer interaction that is based on multimodalities is a key factor in enabling wider and enriched access to cultural heritage assets. In this paper, we present the design and evaluation of an interactive system that aims to support visitors towards a better understanding of art contexts through the use of a multimodal interface, based on visual and audio interactions. The results of the evaluation study shed light on the dimensions of evoking natural interactions within cultural heritage environments, using micro-narratives for self-exploration and understanding of cultural content, and the intersection between human–computer interaction and artificial intelligence within cultural heritage. We expect our findings to provide useful insights for practitioners and researchers of the broad human–computer interaction and cultural heritage communities on designing and evaluating multimodal interfaces to better support visitor experiences. Full article
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Article
Optimal Planning Method for Large-Scale Historical Exhibits in the Taiwan Railway Museum
Appl. Sci. 2021, 11(5), 2424; https://doi.org/10.3390/app11052424 - 09 Mar 2021
Cited by 1 | Viewed by 2534
Abstract
The curation design of cultural heritage sites, such as museums, influence the level of visitor satisfaction and the possibility of revisitation; therefore, an efficient exhibit layout is critical. The difficulty of determining the behavior of visitors and the layout of galleries means that [...] Read more.
The curation design of cultural heritage sites, such as museums, influence the level of visitor satisfaction and the possibility of revisitation; therefore, an efficient exhibit layout is critical. The difficulty of determining the behavior of visitors and the layout of galleries means that exhibition layout is a knowledge-intensive, time-consuming process. The progressive development of machine learning provides a low-cost and highly flexible workflow in the management of museums, compared to traditional curation design. For example, the facility’s optimal layout, floor, and furniture arrangement can be obtained through the repeated adjustment of artificial intelligence algorithms within a relatively short time. In particular, an optimal planning method is indispensable for the immense and heavy trains in the railway museum. In this study, we created an innovative strategy to integrate the domain knowledge of exhibit displaying, spatial planning, and machine learning to establish a customized recommendation scheme. Guided by an interactive experience model and the morphology of point–line–plane–stereo, we obtained three aspects (visitors, objects, and space), 12 dimensions (orientation, visiting time, visual distance, centrality, main path, district, capacity, etc.), 30 physical principles, 24 suggestions, and five main procedures to implement layout patterns and templates to create an exhibit layout guide for the National Railway Museum of Taiwan, which is currently being transferred from the railway workshop for the sake of preserving the rail culture heritage. Our results are suitable and extendible to different museums by adjusting the criteria used to establish a new recommendation scheme. Full article
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Article
Human-Centered Artificial Intelligence for Designing Accessible Cultural Heritage
Appl. Sci. 2021, 11(2), 870; https://doi.org/10.3390/app11020870 - 19 Jan 2021
Cited by 14 | Viewed by 4783
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 [...] Read more.
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. Full article
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