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An evolving museum metaphor applied to cultural heritage for personalized content delivery

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Abstract

The aim of this article concerns adaptive and personalized navigation in a cultural heritage database. The theoretical grounding of the proposition relies on cognitive science, particularly constructivism and enaction. The navigation is conducted via an intelligent interface through a 3D “living” museum metaphor. The purpose of this interface is to recommend dynamic cultural heritage objects according to a user profile that is computed online from the interactions that a user has with these objects. To this end, objects are linked to semantic structures that represent relations between cultural heritage concepts. The user profile is described in terms of cultural heritage interests. A prototype of this principle is used to evaluate some of the basic hypotheses of this proposition.

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Notes

  1. The Trevarez castle: https://en.wikipedia.org/wiki/Chateau_de_Trevarez.

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Acknowledgements

This work was funded by the ANR (Agence Nationale de la Recherche), Antimoine Project.

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  1. Lab-STICC, Lorient, France

    Landy Rajaonarivo, Eric Maisel & Pierre De Loor

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  1. Landy Rajaonarivo
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  2. Eric Maisel
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  3. Pierre De Loor
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Correspondence to Landy Rajaonarivo.

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Appendix

Appendix

The two next tables provide the description of the collected data during Exp. 1(Table 3) and Exp. 2 (Table 4).

Table 3 Each line corresponds to a participant for Exp.1. Column \(C_1\) is the genre of the participant, \(C_2\) is her age, \(C_3\) her familiarity with video game, \(C_3\) her level of interest for cultural heritage
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Table 4 Each line corresponds to a participant for Exp.2. Column C is the order of the conditions (2D then 3D or 3D then 2D), G is the genre of the participant, A is her age, VG her familiarity with video games, CH her level of interest for cultural heritage. Q1 to Q5 is her answer to corresponding questions (see Table 1)
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Rajaonarivo, L., Maisel, E. & De Loor, P. An evolving museum metaphor applied to cultural heritage for personalized content delivery. User Model User-Adap Inter 29, 161–200 (2019). https://doi.org/10.1007/s11257-019-09222-x

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