Augmented reality in cultural heritage: Field of view awareness in an archaeological site mobile guide
Abstract
Over the past few years, augmented reality (AR) is increasingly diffused among location-based applications. A situation often encountered in AR applications is the partial or full occlusion of – physical or virtual – objects by physical obstacles. Existing outdoors AR applications overlook this iss ue displaying visual indicators about nearby annotated objects even when those are hidden behind a building, hence, being out of the users’ field of view (FoV). This paper presents a geolocative raycasting technique which enables real time building recognition towards the device’s pointing direction, thereby estimating the FoV of the users. The objective is either to hide or utilize appropriate visual metaphors for occluded objects/locations thereby improving the user’s perception about its surrounding space. The motivation for developing our occlusion handling technique has been drawn from KnossosAR, an outdoors mobile AR guide implemented for the archaeological site of Knossos (in Crete, Greece). We have conducted field trials which provided preliminary evidence of the efficiency, effectiveness and utility of KnossosAR (including the incorporated FoV estimation approach).
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
People often lack motivation to visit heritage exhibitions.
“One problem faced by these institutions is that people often lack motivation to visit the exhibitions [8][9][10]”
From Motiv-ARCHE: co-creation of augmented reality educational content to motivate cultural and natural heritage learning (2025) · cites this paper as [8]
The content presented about exhibited elements does not consider the characteristics or needs of users.
“as the content presented about the exhibited elements does not consider the characteristics or needs of the users.”
From Motiv-ARCHE: co-creation of augmented reality educational content to motivate cultural and natural heritage learning (2025) · cites this paper as [8]
Cited by
Sorted by citations
Vargas, J. C. G., Fabregat, R., Carrillo-Ramos, A., & Jové, T. (2025) · Discover Applied Sciences · doi:10.1007/s42452-025-07842-0 · Cited by 5 · see citing works
- Authors
- Kasapakis, V., Gavalas, D., & Galatis, P.
- Affiliations
- University of the Aegean (GR)
- Hellenic Open University (GR)
- Corresponding author
- Kasapakis, Vlasios
- Venue
- Journal of Ambient Intelligence and Smart Environments
- Publisher
- SAGE Publications
- Published
- 2016-10-31
- Volume
- 8
- Issue
- 5
- Pages
- 501-514
- ISSN
- 1876-1364 (ISSN-L)
- 1876-1372
- OpenAlex
- W2546806505
- Cited by
- 38
- References
- 0
- Citations by year
- 2025: 1 · 2024: 2 · 2023: 6 · 2022: 3 · 2021: 5 · 2020: 5 · 2019: 7 · 2018: 4 · 2017: 4
- FWCI
- 3.40
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of Ambient Intelligence and Smart Environments (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Augmented Reality Applications
- Physical Sciences › Computer Science › Human-Computer Interaction › Interactive and Immersive Displays
- Physical Sciences › Computer Science › Human-Computer Interaction › Virtual Reality Applications and Impacts
- Keywords
- augmented reality, occlusion handling, ray casting, building recognition, location-based services, Knossos, archaeological site, cultural heritage, visual metaphor, geolocation
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review