CumInCAD is a Cumulative Index about publications in Computer Aided Architectural Design
supported by the sibling associations ACADIA, CAADRIA, eCAADe, SIGraDi, ASCAAD and CAAD futures

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id ecaade2017_208
authors Beaudry Marchand, Emmanuel, Han, Xueying and Dorta, Tomás
year 2017
title Immersive retrospection by video-photogrammetry - UX assessment tool of interactions in museums, a case study
source Fioravanti, A, Cursi, S, Elahmar, S, Gargaro, S, Loffreda, G, Novembri, G, Trento, A (eds.), ShoCK! - Sharing Computational Knowledge! - Proceedings of the 35th eCAADe Conference - Volume 2, Sapienza University of Rome, Rome, Italy, 20-22 September 2017, pp. 729-738
summary Studying interactions in museums often omits to consider the complexity of the space and the visitors' behaviors. Visitors' walking paths do not provide enough insight of their user experience (UX) since they are distant from the experiential realities. Videogrammetry can convey such dimensions of an environmental experience. Because of limitations of real-time playback, a twofold approach is suggested: "immersive videos" combined with "photogrammetric models". A granular optimal experience assessment method using retrospection interviews is also applied providing a finer evaluation of the perceived experience through time. This method permits to characterize museum interactive installations, according to the perceived challenges and skills of the interaction's task, based this time on immersive retrospection. This paper proposes the "Immersive retrospection" by "Immersive video-photogrammetry" as a UX assessment tool of interactions in museums. A hybrid virtual environment was used in this study, allowing social VR without the use of headsets, through a life-sized projection of interactive 3D content. The study showed that Immersive video-photogrammetry facilitates the recall of memories and allows a deepened self-observation analysis.
keywords immersive retrospection; photogrammetry; videogrammetry; UX assessment; museum environments
series eCAADe
full text file.pdf (1,260,413 bytes)
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