ConsumerCheck: A Software for Analysis of Sensory and Consumer Data
Oliver Tomic, Alexandra Kuznetsova, Per Bruun Brockhoff, Thomas Graff,, Tormod N{\ae}s

TL;DR
ConsumerCheck is an open source software with a graphical interface that enables non-statisticians to analyze sensory and consumer data using common statistical methods like PCA, PLSR, and PCR, with easy-to-interpret visual results.
Contribution
It introduces a user-friendly, open source tool for sensory and consumer data analysis that includes predefined models and broad applicability beyond its core domain.
Findings
Provides accessible analysis tools for non-statisticians.
Includes predefined models for conjoint analysis.
Supports various statistical methods like PCA, PLSR, PCR.
Abstract
ConsumerCheck is an open source data analysis software tailored for analysis of sensory and consumer data. Since some of the implemented methods are generic, such as PCA, PLSR and PCR, other data from other domains may also be analysed with ConsumerCheck. The software comes with a graphical user interface and as such provides non-statisticians and users without programming skills free access to a number of widely used analysis methods within the field of sensory and consumer science. Computational results are presented in plots that are easily generated from the tree-controls within the graphical user interfaces. Since the construction of conjoint analysis models is not always straightforward, ConsumerCheck provides three previously defined model structures of different complexity. ConsumerCheck is an ongoing research project and the objective is to implement further statistical methods…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsSensory Analysis and Statistical Methods
