We are currently collaborating with the Museu d’Historia de Barcelona in the project Refugi 307 – Moving through the Past. The goal of the project is to design an educational experience based on the World-as-Support interaction paradigm for one of the bomb shelters, namely Refugi 307, that were built during the Spanish Civil War in Barcelona. Our design approach was based on contextual inquiry, informant design and evaluation study with students of two local schools.
Details about the design approach and results testing the prototype have been published in several international conferences and journals.
Marie-Monique Schaper, Maria Santos, and Narcis Pares. (2018). Orchestrating experts’ assumptions and children’s values in the design of Virtual Heritage experiences. International Journal of Child-Computer Interaction. DOI=https://doi.org/10.1016/j.ijcci.2018.02.001
Marie-Monique Schaper, Maria Santos, Laura Malinverni, Juan Zerbini Berro and Narcis Pares. (2018). Learning about the past through situatedness, embodied exploration and digital augmentation of cultural heritage sites. International Journal of Human-Computer Studies. DOI=http://dx.doi.org/10.1016/j.ijhcs.2018.01.003
Marie-Monique Schaper, Maria Santos, Laura Malinverni and Narcis Pares. (2017).
Co-Designing Virtual Heritage Experiences for Archaeological Sites based on the novel AR Paradigm World-as-Support. ACM Celebration of Women in Computing, WomENCourage Conference 2017. See conference abstract
Maria Santos, Marie-Monique Schaper, and Narcis Pares. (2017). Moving through the past: design and evaluation of a full-body interaction learning environment for a public space. In Proceedings of the XVIII International Conference on Human Computer Interaction (Interacción ’17). ACM, New York, NY, USA, Article 54, 3 pages. DOI: https://doi.org/10.1145/3123818.3133833
Marie-Monique Schaper, Maria Santos, Laura Malinverni and Narcis Pares. (2017). Towards the Design of a Virtual Heritage Experience based on the World-as-Support Interaction Paradigm. In Proceedings of the 2017 CHI Conference Extended Abstracts on Human Factors in Computing Systems (CHI EA ’17). DOI=http://dx.doi.org/10.1145/3027063.3053089