Shakouri, F. and Tian, F., 2018. Avebury Portal – A Location-Based Augmented Reality Treasure Hunt for Archaeological Sites. In: International Conference on E-learning & Games (Edutainment 2018), 28--30 June 2018, Xi'An, China.
Full text available as:
|
PDF
Avebury Portal.pdf - Accepted Version Available under License Creative Commons Attribution Non-commercial No Derivatives. 588kB | |
Copyright to original material in this document is with the original owner(s). Access to this content through BURO is granted on condition that you use it only for research, scholarly or other non-commercial purposes. If you wish to use it for any other purposes, you must contact BU via BURO@bournemouth.ac.uk. Any third party copyright material in this document remains the property of its respective owner(s). BU grants no licence for further use of that third party material. |
Official URL: http://edutainment2018.xaut.edu.cn/
Abstract
Many archaeological sites are less popular by visits amongst the younger group and overall less popular than majority of other heritage sites. They are often not enhanced by supporting medium like in museums or historic buildings. Many augmented reality (AR) systems have been developed for archaeological sites and proved to benefit user engagement. However, most result in superimposing a virtual reconstruction of the site for users to passively observe and lack exploration of other methods for designing an interactive engaging experience. In this paper, we demonstrate the development of a location-based treasure hunt AR app, Avebury Portal, for the heritage site; Avebury in England. Avebury Portal uses puzzles with the environment to give clues, and a narrative that responds to the user’s location. We developed Avebury Portal with Unity Engine and Vuforia to demonstrate the effectiveness of using AR to enhance visitors’ experiences on learning.
Item Type: | Conference or Workshop Item (Paper) |
---|---|
Uncontrolled Keywords: | Location-based AR; Archaeological Heritage Site; Interactive Learning; Multimodal Interface; Locative Narrative |
Group: | Faculty of Science & Technology |
ID Code: | 31147 |
Deposited By: | Symplectic RT2 |
Deposited On: | 22 Aug 2018 14:48 |
Last Modified: | 14 Mar 2022 14:12 |
Downloads
Downloads per month over past year
Repository Staff Only - |