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

NOT, E and PETRELLI, Daniela (2019). Empowering cultural heritage professionals with tools for authoring and deploying personalised visitor experiences. User Modeling and User-Adapted Interaction.

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Open Access URL: https://link.springer.com/article/10.1007%2Fs11257... (Published version)
Link to published version:: https://doi.org/10.1007/s11257-019-09224-9

Abstract

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 co-design 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.

Item Type: Article
Uncontrolled Keywords: 0801 Artificial Intelligence and Image Processing; 0806 Information Systems; Information Systems
Identification Number: https://doi.org/10.1007/s11257-019-09224-9
SWORD Depositor: Symplectic Elements
Depositing User: Symplectic Elements
Date Deposited: 09 Apr 2019 13:12
Last Modified: 09 Apr 2019 13:15
URI: http://shura.shu.ac.uk/id/eprint/24380

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