IGI Global
Journal of Information Technology Research
,  volume 13 ,  issue 2 ,  pages 60-74

SysSensory

Helena Alvelos 1
, 
Leonor Fernandes Teixeira 2
, 
Ana Luísa Ferreira Andrade Ramos 3
, 
Ana Raquel Xambre 1
1
 
2
 
3
 
Publication type: Journal Article
Publication date: 2020-02-14
IGI Global
wos Q4
SJR: —
CiteScore: —
Impact factor: 0.5
ISSN: 19387857, 19387865
General Computer Science
Abstract

Sensory analysis is an area of the food industry to evaluate products' organoleptic characteristics. It encompasses a tasting process that produces large amounts of data used both in decisions about the products and to evaluate the tasters. In this context, some tools that usually support Industrial Engineering processes, can help making more reliable and timely decisions. The aim of this work is then to present a decision support system – SysSensory – developed to help food companies' deal with that data, by means of collecting, processing and visualizing it. Therefore, some statistical techniques incorporated in the system are explained, the specification of the system is described and some of the system's user interfaces are presented. SysSensory is considered a valuable contribute for researchers on Sensory Analysis, Statistics, as well as Information Technologies, and also for the food industry, for which it can be an innovative tool.

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GOST |
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GOST Copy
Alvelos H. et al. SysSensory // Journal of Information Technology Research. 2020. Vol. 13. No. 2. pp. 60-74.
GOST all authors (up to 50) Copy
Alvelos H., Teixeira L. F., Ramos A. L. F. A., Xambre A. R. SysSensory // Journal of Information Technology Research. 2020. Vol. 13. No. 2. pp. 60-74.
RIS |
Cite this
RIS Copy
TY - JOUR
DO - 10.4018/JITR.2020040104
UR - https://doi.org/10.4018/JITR.2020040104
TI - SysSensory
T2 - Journal of Information Technology Research
AU - Alvelos, Helena
AU - Teixeira, Leonor Fernandes
AU - Ramos, Ana Luísa Ferreira Andrade
AU - Xambre, Ana Raquel
PY - 2020
DA - 2020/02/14
PB - IGI Global
SP - 60-74
IS - 2
VL - 13
SN - 1938-7857
SN - 1938-7865
ER -
BibTex |
Cite this
BibTex (up to 50 authors) Copy
@article{2020_Alvelos,
author = {Helena Alvelos and Leonor Fernandes Teixeira and Ana Luísa Ferreira Andrade Ramos and Ana Raquel Xambre},
title = {SysSensory},
journal = {Journal of Information Technology Research},
year = {2020},
volume = {13},
publisher = {IGI Global},
month = {feb},
url = {https://doi.org/10.4018/JITR.2020040104},
number = {2},
pages = {60--74},
doi = {10.4018/JITR.2020040104}
}
MLA
Cite this
MLA Copy
Alvelos, Helena, et al. “SysSensory.” Journal of Information Technology Research, vol. 13, no. 2, Feb. 2020, pp. 60-74. https://doi.org/10.4018/JITR.2020040104.