Fruitify: nutritionally augmenting fruits through markerless-based augmented reality
Kulpy, Annu and Bekaroo, Girish 
ORCID: https://orcid.org/0000-0003-1753-4300
(2017)
Fruitify: nutritionally augmenting fruits through markerless-based augmented reality.
2017 IEEE Proceedings 4th International Conference on Soft Computing & Machine Intelligence.
In: 2017 IEEE 4th International Conference on Soft Computing & Machine Intelligence (ISCMI), 23-24 Nov 2017, Port Louis, Mauritius.
e-ISBN 9781538613146, pbk-ISBN 9781538613153.
[Conference or Workshop Item]
(doi:10.1109/iscmi.2017.8279616)
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Abstract
In the past few decades, a significant decrease in fruit consumption around the world has resulted in a hiking rate of cardiovascular diseases and obesity among youngsters. In order to address this issue, healthy eating is being recommended. However, awareness on nutritional information on fruits remain an important challenge that still needs to be addressed even though various sources in the form of books, websites and mobile applications are already available. This is also potentially due to the limited interaction and engagement with such sources. One technology that has shown to improve engagement, enhance understanding and provide a unique learning experience is Augmented Reality. However, limited work has been undertaken to provide nutritional information on fruits via this technology. As such, this paper investigates the application of AR to nutritionally augment fruits through a proposed prototype called Fruitify, before discussing the usability tests performed on the application and involving end users. As key findings, a system usability scale score of 82.1% was obtained where participants expressed strong intention to utilize the tool again in the future.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Research Areas: | A. > School of Science and Technology > Computer Science |
| Item ID: | 29771 |
| Notes on copyright: | © 2017 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. |
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| Depositing User: | Girish Bekaroo |
| Date Deposited: | 12 May 2020 08:03 |
| Last Modified: | 29 Nov 2022 20:25 |
| URI: | https://eprints.mdx.ac.uk/id/eprint/29771 |
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