ABSTRACT
If and how an individual’s social, economic, and cultural backgrounds affect their perception of the built environment, is a fundamental problem for architects, anthropologists, historians, and urban planners alike. Similar factors affect an individual’s religious beliefs and tendencies. Our research addresses the intersection of personal background and perception of sacred space by examining people’s responses to a virtual replica of a “madonella,” a street shrine in Rome. The shrine was virtually recreated using photogrammetry. It was optimized for user studies employing VIVE Pro Eye. The study looked at the gaze behavior of 24 participants and compared their gaze patterns with demographic background and social-communal responses. The study finds that certain religious habits of an individual could predict their fixational features, including the number and total duration of fixations, on pivotal areas of interest in the shrine environment (even though these areas were placed outside of immediate sight). These results are a promising start to our ongoing study of the perception and received meaning of sacred space.
- Virginio Cantoni, Lorenzo Merlano, Nahumi Nugrahaningsih, and Marco Porta. 2016. Eye tracking for cultural heritage: a gaze-controlled system for handless interaction with artworks. In Proceedings of the 17th International Conference on Computer Systems and Technologies 2016. 307–314. Google ScholarDigital Library
- Sylvain Castagnos, Florian Marchal, Alexandre Bertrand, Morgane Colle, and Djalila Mahmoudi. 2019. Inferring Art Preferences from Gaze Exploration in a Museum. In Adjunct Publication of the 27th Conference on User Modeling, Adaptation and Personalization. 425–430. Google ScholarDigital Library
- Allan Charles Dawson. 2009. Shrines in Africa: history, politics, and society. (2009).Google Scholar
- William Elison. 2018. The Neighborhood of Gods: The Sacred and the Visible at the Margins of Mumbai.Google Scholar
- Ralf Engbert and Reinhold Kliegl. 2003. Microsaccades uncover the orientation of covert attention. Vision research 43, 9 (2003), 1035–1045.Google Scholar
- Dai-In Han, Timothy Jung, and Alex Gibson. 2013. Dublin AR: implementing augmented reality in tourism. In Information and communication technologies in tourism 2014. Springer, 511–523.Google Scholar
- Dai-In Han, M. Claudia tom Dieck, and Timothy Jung. 2018. User experience model for augmented reality applications in urban heritage tourism. Journal of Heritage Tourism 13, 1 (jan 2018), 46–61. https://doi.org/10.1080/1743873X.2016.1251931Google ScholarCross Ref
- Tiffany C.K. Kwok, Peter Kiefer, Victor R Schinazi, Benjamin Adams, and Martin Raubal. 2019. Gaze-guided narratives: Adapting audio guide content to gaze in virtual and real environments. In Conference on Human Factors in Computing Systems - Proceedings. ACM, 12. https://doi.org/10.1145/3290605.3300721 Google ScholarDigital Library
- Moayad Mokatren, Tsvi Kuflik, and I Shimshoni. 2016. Exploring the Potential Contribution of Mobile Eye-tracking Technology in Enhancing the Museum Visit Experience.. In AVI* CH. 23–31.Google Scholar
- Alice Paladini, Abhijit Dhanda, Miquel Reina Ortiz, Adam Weigert, Eslam Nofal, A Min, M Gyi, S Su, Koen Van Balen, and Mario Santana Quintero. 2019. Impact of virtual reality experience on accessibility of cultural heritage. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences 42 (2019), 929–936.Google Scholar
- Pew Research Center. 2018a. Being Christian in Western Europe.Google Scholar
- Pew Research Center. 2018b. The Religious Typology.Google Scholar
- Mattia Rainoldi, Barbara Neuhofer, and Mario Jooss. 2018. Mobile Eyetracking of Museum Learning Experiences. In Information and Communication Technologies in Tourism 2018. Springer, 473–485.Google Scholar
- John F Rauthmann, Christian T Seubert, Pierre Sachse, and Marco R Furtner. 2012. Eyes as windows to the soul: Gazing behavior is related to personality. Journal of Research in Personality 46, 2 (2012), 147–156.Google ScholarCross Ref
- Titus von der Malsburg. 2015. Saccades: Detection of fixations in eye-tracking data. R package version 0.1-1.Google Scholar
- Helene S Wallach, Marilyn P Safir, and Roy Samana. 2010. Personality variables and presence. Virtual Reality 14, 1 (2010), 3–13.Google ScholarDigital Library
- Ittai Weinryb. 2016. Ex Voto: Votive giving across cultures. Bard Graduate Center.Google ScholarCross Ref
Index Terms
- Understanding Urban Devotion through the Eyes of an Observer
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