1,721,024 research outputs found
Improving Enjoyment of Cultural Heritage Through Recommender Systems, Virtual Tour, and Digital Storytelling
No full textThe integration of Information and Communication Technologies (ICT) within the world of cultural heritage has the role of added value for its enhancement. In particular, improving the enjoyment of cultural Points of Interest by suggesting personalized routes allows for better interaction between users and the cultural site. To this end, this paper aims to introduce an architecture that, by employing Recommendation Systems integrated with the Situation Awareness paradigm, allows for the identification of personalized paths for users through the acquisition of data through smart sensors, which is then processed through the proposed approach, defined as a Multilevel Graph (MuG) approach. This aims to filter through the data’s context and ontological layers to its processing through the Bayesian network, which is identified through structural learning algorithms integrated with the domain’s semantic knowledge. The architecture also incorporates physical and virtual experiences, exploiting the advantages of virtual tours and involving users more by employing digital storytelling techniques. Testing of the proposed architecture based on the MuG approach took place through an offline experiment aimed at evaluating the accuracy of the approach used and an online experiment to test the validity of the designed architecture
An Ontology-Based Chatbot to Enhance Experiential Learning in a Cultural Heritage Scenario
No full textItaly is rich in cultural attractions, many known worldwide, others more hidden and unrecognized. Cultural attractions include tangible cultural assets (works of art, archaeological excavations, and churches) and intangible ones (music, poetry, and art). Today, given the pervasive diffusion of “smart” devices, the intelligent use of modern technologies could play a crucial role in changing the habit of consulting and visiting cultural heritage mainly with traditional methodologies, making little or no use of the advantages coming from the more and more availability of digitalized resources. A realm of particular interest is “experiential learning” when applied to cultural heritage, where tourists more and more ask to be helped in discovering the richness of sites they explore. In this article, we will present an innovative chatbot-based system, called HeriBot, that supports experiential tourism. Our system has been developed and experimented with a research effort for applying ICT technologies to enhance the knowledge, valorization, and sustainable fruition of the Cultural Heritage related to the Archaeological Urban Park of Naples (PAUN—Parco Archeologico Urbano di Napoli). Our article starts exploiting the ontological approach based on a purpose ontology describing the Park Heritage. Using such an ontology, we designed a chatbot that can identify the specific characteristics and motivations of the tourist, defining language, tone, and visitable scenarios and, through the ontology, allows the visit to be transformed into a personalized educational opportunity. The system has been validated in terms of dialogue effectiveness and training efficiency by a panel of experts, and we present and discuss obtained results
Integrating Physical and Virtual Experiences in Cultural Tourism: an Adaptive Multimodal Recommender System
No full textAfter a period of closure, there has been a renaissance in the world of tourism, particularly cultural tourism, where it is necessary to guide the visitor to discover the arts and cultural heritage. This renewed interest has highlighted historical challenges and new issues, suggesting the need for innovative technologies to enhance the cultural experience. Technologies such as the Internet of Things (IoT) and Context and Situation Awareness make it possible to collect and analyze environmental data in real time, enabling dynamic adaptation of tourist routes to specific conditions. This study proposes a recommendation system based on semantic approaches and probabilistic graphs designed to offer hybrid paths, both real and virtual, aimed at enhancing the user experience based on visitor preferences and environmental conditions. Through a multimodal approach, the system enhances engagement through dynamic multimedia content, combining physical and virtual experiences. It allows users to overcome the physical limitations of specific points of interest while providing an immersive and personalized experience. The proposed approach was validated through two strategies. The first evaluates the accuracy of the suggestions made through the proposed approach to test its reliability. The second consists of an experimental campaign involving the implementation of cultural routes within the Archaeological Park of Pompeii, where satisfactory results were obtained
A persymmetric GLRT for adaptive detection in partially-homogeneous environment
No full textThis letter deals with the problem of adaptive detection in Gaussian disturbance with unknown but persymmetric structured covariance matrix. A partially-homogeneous environment is considered at the design stage, and a receiver based on the generalized likelihood ratio test (GLRT) is derived. At the analysis stage, the performance of the new receiver is assessed, also in comparison with the unstructured GLRT, showing that the a-priori information on the covariance structure can lead to a noticeable performance improvement
Integrating the Internet of Things (IoT) in SPA Medicine: Innovations and Challenges in Digital Wellness
No full textIntegrating modern and innovative technologies such as the Internet of Things (IoT) and Machine Learning (ML) presents new opportunities in healthcare, especially in medical spa therapies. Once considered palliative, these therapies conducted using mineral/thermal water are now recognized as a targeted and specific therapeutic modality. The peculiarity of these treatments lies in their simplicity of administration, which allows for prolonged treatments, often lasting weeks, with progressive and controlled therapeutic effects. Thanks to new technologies, it will be possible to continuously monitor the patient, both on-site and remotely, increasing the effectiveness of the treatment. In this context, wearable devices, such as smartwatches, facilitate non-invasive monitoring of vital signs by collecting precise data on several key parameters, such as heart rate or blood oxygenation level, and providing a perspective of detailed treatment progress. The constant acquisition of data thanks to the IoT, combined with the advanced analytics of ML technologies, allows for data collection and precise analysis, allowing real-time monitoring and personalized treatment adaptation. This article introduces an IoT-based framework integrated with ML techniques to monitor spa treatments, providing tailored customer management and more effective results. A preliminary experimentation phase was designed and implemented to evaluate the system’s performance through evaluation questionnaires. Encouraging preliminary results have shown that the innovative approach can enhance and highlight the therapeutic value of spa therapies and their significant contribution to personalized healthcare
A multilevel graph approach for IoT-based complex scenario management through situation awareness and semantic approaches
Full text linkModern reality and the environments in which we live are characterized by technology components geared toward automatic management through pervasive services. Thanks to the advent of the Internet of Things, such environments can provide information such as pollution levels, public transport conditions, efficiency of energy distribution networks, and identification of suspicious activities by generating complex scenarios. The profitable management of such scenarios can be performed through context modeling and methodologies that can extract and understand environmental information by preventing certain events through artificial intelligence techniques by increasing Situation Awareness. This paper focuses on developing a methodology with predictive capabilities and context adaptability for managing complex scenarios. The use of semantic and graph-based approaches, unlike many approaches used, leads to better integration of knowledge, resulting in improved system performance. In addition, such approaches allow understanding of what is happening in the system at a given time, enabling manipulation and integration of semantic information. Graph-based approaches chosen for this purpose are Ontologies, Context Dimension Trees, and Bayesian Networks, which are able to support the end-user or expert user in handling complex scenarios. The proposed methodology has been validated and applied to real complex scenarios based on the IoT paradigm. The proposed approach validation was conducted using open data from the city of London; a practical scenario case study was conducted in the field of automated management of a Smart Home. In both cases, the system achieved promising results
Gamification in Cultural Heritage: When History Becomes SmART
No full textThe term “Gamification” refers to the use of techniques and features typically found in the gaming industry, applied to contexts that extend beyond traditional entertainment video games. It has been observed that these techniques are particularly effective for learning information, as users are actively engaged. The field of cultural heritage can also benefit from the use of gamification techniques. Often, the dissemination of tangible and intangible cultural heritage poses certain challenges, especially from a communication standpoint. In this context, the use of gamification-based approaches can significantly enhance the ability to disseminate culture by placing users at the center of the visiting experience and fostering a stronger connection with the cultural heritage. By employing such approaches, it is possible to create immersive and memorable experiences that enhance users’ learning capabilities. Innovative technologies like augmented reality and localization systems can provide valuable support in developing gamified visitor paths. A case study was proposed and developed within the Archaeological Park of Pompeii, and the experimental results were highly encouraging, particularly demonstrating greater benefits for younger age groups compared to a traditional visit
Resolution of tryptophan-ANS fluorescence energy transfer in apomyoglobin by site-directed mutagenesis
No full textResonance energy transfer between tryptophanyl residues and the apolar fluorescent dye 1-anilino-8-naphthalene sulfonate (ANS) occurs when the fluorophore is bound to native folded sperm whale apomyoglobin. The individual transfer contribution of the two tryptophanyl residues (W7 and W14, both located on the A-helix of the protein) was resolved by measuring the tryptophan-ANS transfer efficiency for the ANS-apomyoglobin complexes formed by wild-type protein and protein mutants containing one or no tryptophanyl residues, i.e. W7F, W14F and W7YW14F. The transfer efficiency of W14 residue was found to be higher than that of W7, thus indicating that W14 acts as the main energy donor in the ANS-apomyoglobin complex. This suggests that the plane containing the anilinonaphthalene ring of the extrinsic fluorophore has a spatial orientation similar to that of W14 and, hence, to the heme group in the holoprotein
- …
