Rastegari, H, Kolivand, H and Hawkins, P (2023) iCan: Psychological Look in Future using Augmented Reality Technology. In: 2023 15th International Conference on Developments in eSystems Engineering (DeSE) . (15th International Conference on Developments in eSystems Engineering (DeSE), Baghdad & Anbar, Iraq).
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Abstract
Looking to the future is always something people are interested in from the old days. What people can do using their current ability is ambiguous but this can be achieved psychologically. In this study, a systematic Augmented Reality (AR) system named iCan has been proposed to reveal the ability of what we can do and which way we should choose when facing any junction of choices. iCan has been developed in four steps including basic AR development implementation, building 3D-Models, making the best interaction UX(User-Experience) and test-debug-publish. In the first step, booklet pages have been chosen for AR development instruction, next, 3D models have made and have been presented. Next, interaction methods are under development. The system has been tested by some individuals and the results show the robustness of the presented system which there is a hope to change the future of people in near future.
Item Type: | Conference or Workshop Item (Paper) |
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Additional Information: | © 2023 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. |
Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science Q Science > QA Mathematics > QA76 Computer software |
Divisions: | Computer Science & Mathematics |
Publisher: | IEEE |
SWORD Depositor: | A Symplectic |
Date Deposited: | 21 Apr 2023 09:17 |
Last Modified: | 21 Apr 2023 09:17 |
DOI or ID number: | 10.1109/DeSE58274.2023.10099502 |
URI: | https://researchonline.ljmu.ac.uk/id/eprint/19397 |
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