Enhancing cultural recommendations through social and linked open data

Sansonetti, Giuseppe; Gasparetti, Fabio; Micarelli, Alessandro; Cena, Federica; Gena, Cristina

doi:10.1007/s11257-019-09225-8

Cited by 53 publications

(28 citation statements)

References 53 publications

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“…Empowering cultural heritage professionals with tools for… individual visitor logs (Kuflik and Dim 2013), to determine visit fatigue (Bitgood 2010), or to dynamically compute which is the next visit step to recommend (see for example (Alexandridis et al 2019) and (Sansonetti et al 2019) for a review of different approaches). Personalisation rules could also embed advanced forms of cognition-based user modelling, as proposed by Raptis et al (2019).…”

Section: Controlling the Interactive Behaviourmentioning

confidence: 99%

Empowering cultural heritage professionals with tools for authoring and deploying personalised visitor experiences

Not

Petrelli

2019

User Model User-Adap Inter

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This paper presents an authoring environment, which supports cultural heritage professionals in the process of creating and deploying a wide range of different personalised interactive experiences that combine the physical (objects, collection and spaces) and the digital (multimedia content). It is based on a novel flexible formalism that represents the content and the context as independent from one another and allows recombining them in multiple ways thus generating many different interactions from the same elements. The authoring environment was developed in a codesign process with heritage stakeholders and addresses the composition of the content, the definition of the personalisation, and the deployment on a physical configuration of bespoke devices. To simplify the editing while maintaining a powerful representation, the complex creation process is deconstructed into a limited number of elements and phases, including aspects to control personalisation both in content and in interaction. The user interface also includes examples of installations for inspiration and as a means for learning what is possible and how to do it. Throughout the paper, installations in public exhibitions are used to illustrate our points and what our authoring environment can produce. The expressiveness of the formalism and the variety of interactive experiences that could be created was assessed via a range of laboratory tests, while a user-centred evaluation with over 40 cultural heritage professionals assessed whether they feel confident in directly controlling personalisation.

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Section: Controlling the Interactive Behaviourmentioning

confidence: 99%

Empowering cultural heritage professionals with tools for authoring and deploying personalised visitor experiences

Not

Petrelli

2019

User Model User-Adap Inter

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“…Such factors reflect on various aspects that influence the visitor experience [58,59] such as intrinsic motivations [60], perceived quality of the CH experience [61], and emotional connection [62]. Personalization factors that can be used in combination with cognition are: visitor location [63], interests [64], social behavior [65], background knowledge [66], preferences [67], motivation [68], themes [69], mood [70], visiting style [71], visit and viewing time [72], visit history [73], and disabilities [74]. Therefore, we envisage an open collection of personalization factors that could be integrated in DeCACHe and could be used as complementary factors to cognition, aiming to provide the CH designers with an enriched toolset to help them make better design decisions when creating personalized CH activities.…”

Section: Combining Cognition With Other Personalization Factorsmentioning

confidence: 99%

DeCACHe: Supporting Designers in Creating Cognition-Centered Adaptive Cultural Heritage Activities

2019

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Cultural heritage (CH) institutions attract wide and heterogeneous audiences, which should be efficiently supported and have access to meaningful CH content. This introduces numerous challenges when delivering such experiences, given that people have different cognitive characteristics which influence the way we process information, experience, behave, and acquire knowledge. Our recent studies provide evidence that human cognition should be considered as a personalization factor within CH contexts, and thus we developed a framework that delivers cognition-centered personalized CH activities. The efficiency and the efficacy of the framework have been successfully assessed through two user studies, but non-technical professionals (e.g., CH designers) may face difficulties when attempting to use it and create personalized CH activities. In this paper, we present DeCACHe, which supports CH designers in creating cognition-centered personalized CH activities throughout different phases of the design lifecycle. We also report a user study with seventeen professional CH designers, who used our tool to design CH activities for people with different cognitive characteristics.Cognition-centered personalization framework for CH content. In our recent work [13], we presented a framework that helps CH stakeholders (e.g., CH designers, CH institutions, CH educators) in providing personalized CH activities to the visitors through adaptive interventions that leverage the visitors' cognitive profiles. The framework consists of three stages: (a) the design of personalized CH activities; (b) the visitor modeling based on selected cognitive factors; and (c) the configuration and delivery of the personalized CH activity to the visitor. The first stage is performed before the visit while the other two stages are performed during the visit. Hence, through our framework, a CH designer receives personalized recommendations that would help them to create different versions of a CH activity that build on the unique cognitive profile of the potential visitors, and, then, the personalized CH activity is delivered to each visitor through rule-based techniques, which map each visitor's cognitive profile with the corresponding rules of content adaptation. The cognitive profiles are built dynamically through real-time modeling based on users' behavioral data (e.g., eye-tracking data, interaction data). The results of three user-studies [12,13] revealed that the visitors who used the cognition-adapted CH activities had an enhanced experience and an improved knowledge acquisition in comparison to the visitors who used the original CH activities. However, we should stress that the configuration of the framework required the modification of technical details that our research team was aware of, but they can be a burden for non-technical CH stakeholders, such as designers. Hence, there is a need for providing a standalone authoring-like tool for supporting CH designers in easily creating cognition-centered personalized CH activities.Tools for creating...

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“…Insofar, however, each cultural application is designed, implemented, and deployed separately, increasing the associated development costs (content development, code creation and testing, infrastructure deployment, and maintenance), while, at the same time, limiting the opportunities for sharing and reusing cultural experiences to the level of recommending isolated points of interests (PoIs) or coarse-grained routes [7][8][9]. The impact of these challenges is more pronounced in augmented, virtual, and mixed reality (AR/VR/MR) systems, for which content development, code implementation and deployment infrastructure are more complex and demanding.…”

Section: Introductionmentioning

confidence: 99%

A Semantic Mixed Reality Framework for Shared Cultural Experiences Ecosystems

Vassilakis

Kotis

Spiliotopoulos

et al. 2020

BDCC

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This paper presents SemMR, a semantic framework for modelling interactions between human and non-human entities and managing reusable and optimized cultural experiences, towards a shared cultural experience ecosystem that might seamlessly accommodate mixed reality experiences. The SemMR framework synthesizes and integrates interaction data into semantically rich reusable structures and facilitates the interaction between different types of entities in a symbiotic way, within a large, virtual, and fully experiential open world, promoting experience sharing at the user level, as well as data/application interoperability and low-effort implementation at the software engineering level. The proposed semantic framework introduces methods for low-effort implementation and the deployment of open and reusable cultural content, applications, and tools, around the concept of cultural experience as a semantic trajectory or simply, experience as a trajectory (eX-trajectory). The methods facilitate the collection and analysis of data regarding the behaviour of users and their interaction with other users and the environment, towards optimizing eX-trajectories via reconfiguration. The SemMR framework supports the synthesis, enhancement, and recommendation of highly complex reconfigurable eX-trajectories, while using semantically integrated disparate and heterogeneous related data. Overall, this work aims to semantically manage interactions and experiences through the eX-trajectory concept, towards delivering enriched cultural experiences.

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Enhancing cultural recommendations through social and linked open data

Cited by 53 publications

References 53 publications

Empowering cultural heritage professionals with tools for authoring and deploying personalised visitor experiences

Empowering cultural heritage professionals with tools for authoring and deploying personalised visitor experiences

DeCACHe: Supporting Designers in Creating Cognition-Centered Adaptive Cultural Heritage Activities

A Semantic Mixed Reality Framework for Shared Cultural Experiences Ecosystems

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