Fruitify: Nutritionally augmenting fruits through markerless-based augmented reality
Conference paper
Kulpy, A. and Bekaroo, G. 2017. Fruitify: Nutritionally augmenting fruits through markerless-based augmented reality. IEEE 4th International Conference on Soft Computing and Machine Intelligence (ISCMI). Port Louis, Mauritius 23 - 24 Nov 2017 IEEE. pp. 149-153 https://doi.org/10.1109/iscmi.2017.8279616
Type | Conference paper |
---|---|
Title | Fruitify: Nutritionally augmenting fruits through markerless-based augmented reality |
Authors | Kulpy, A. and Bekaroo, G. |
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. |
Keywords | fruitify; augmented reality; markerless; nutritional information; awareness |
Conference | IEEE 4th International Conference on Soft Computing and Machine Intelligence (ISCMI) |
Page range | 149-153 |
Proceedings Title | 2017 IEEE 4th International Conference on Soft Computing & Machine Intelligence (ISCMI) |
Series | International Conference on Soft Computing & Machine Intelligence ISCMI |
ISSN | 2640-0154 |
Electronic | 2640-0146 |
ISBN | |
Electronic | 9781538613146 |
Paperback | 9781538613153 |
Publisher | IEEE |
Publication dates | |
23 Nov 2017 | |
Online | 05 Feb 2018 |
Publication process dates | |
Deposited | 12 May 2020 |
Accepted | 05 Aug 2017 |
Output status | Published |
Accepted author manuscript | File Access Level Open |
Copyright Statement | © 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. |
Digital Object Identifier (DOI) | https://doi.org/10.1109/iscmi.2017.8279616 |
Web of Science identifier | WOS:000426527600030 |
Web address (URL) of conference proceedings | https://ieeexplore.ieee.org/xpl/conhome/8267452/proceeding |
Language | English |
https://repository.mdx.ac.uk/item/88y69
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