a Framework for Low-Cost Multi-Platform VR and AR Site Experiences

Abstract. Low-cost consumer-level immersive solutions have the potential to revolutionize education and research in many fields by providing virtual experiences of sites that are either inaccessible, too dangerous, or too expensive to visit, or by augmenting in-situ experiences using augmented and mixed reality methods. We present our approach for creating low-cost multi-platform virtual and augmented reality site experiences of real world places for education and research purposes, making extensive use of Structure-from-Motion methods as well as 360° photography and videography. We discuss several example projects, for the Mayan City of Cahal Pech, Iceland’s Thrihnukar volcano, the Santa Marta informal settlement in Rio, and for the Penn State Campus, and we propose a framework for creating and maintaining such applications by combining declarative content specification methods with a central linked-data based spatio-temporal information system.

[1]  Stefano Borgo,et al.  Ontological Foundations of dolce , 2010 .

[2]  W. Mackaness,et al.  Lecture Notes in Geoinformation and Cartography , 2006 .

[3]  Manolis Koubarakis,et al.  Strabon: A Semantic Geospatial DBMS , 2012, SEMWEB.

[4]  Alexander Klippel,et al.  Immersive Technologies and Experiences for Archaeological Site Exploration and Analysis , 2017, COSIT.

[5]  Mel Slater,et al.  The Sense of Embodiment in Virtual Reality , 2012, PRESENCE: Teleoperators and Virtual Environments.

[6]  S. Shyam Sundar,et al.  Theorizing Interactivity's Effects , 2004, Inf. Soc..

[7]  P. Milgram,et al.  A Taxonomy of Mixed Reality Visual Displays , 1994 .

[8]  Jane Hunter,et al.  Towards a Core Ontology for Information Integration , 2003, J. Digit. Inf..

[9]  D. Oprean Understanding the immersive experience: Examining the influence of visual immersiveness and interactivity on spatial experiences and understanding , 2014 .

[10]  James F. Allen Maintaining knowledge about temporal intervals , 1983, CACM.

[11]  Matthias Klapperstück,et al.  Immersive Analytics , 2015, 2015 Big Data Visual Analytics (BDVA).

[12]  Danielle Oprean,et al.  Collaborating remotely: an evaluation of immersive capabilities on spatial experiences and team membership , 2018, Int. J. Digit. Earth.

[13]  Danielle Oprean,et al.  Developing and Evaluating VR Field Trips , 2017, COSIT.

[14]  Steven A. Marchette,et al.  Multiple Views of Space: Continuous Visual Flow Enhances Small-Scale Spatial Learning , 2017, Journal of experimental psychology. Learning, memory, and cognition.

[15]  Fred D. Davis Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology , 1989, MIS Q..

[16]  A. Klippel,et al.  Immersive Applications for Informal and Interactive Learning for Earth Sciences , 2017 .

[17]  M. Egenhofer,et al.  Point-Set Topological Spatial Relations , 2001 .

[18]  Mel Slater,et al.  Measuring Presence: A Response to the Witmer and Singer Presence Questionnaire , 1999, Presence.

[19]  Alberto Belussi,et al.  A Framework for Managing Temporal Dimensions in Archaeological Data , 2014, 2014 21st International Symposium on Temporal Representation and Reasoning.