Resources
Articles, guides, and expert analysis on AI and sensory science
Page 2 of 2 (24 total posts)
Learn how smart-speaker surveys affect panelist experience in immersive sensory testing. Our study compares usability and engagement with traditional surveys.
Explore a study on improving the A-Not AR test. Learn how familiarization procedures and reference probability affect sensory panel data and product insights.
A study on enhancing A-Not A sensory test accuracy by adjusting sample presentation probability, a key method for quality control and product development.
Discover key differences in sensory discrimination tasks. Our analysis of d' estimates shows the 2-AFCR task has lower variance at difficult discrimination levels.
Learn how situational context impacts consumer expectations and sensory evaluation in product testing. This research explores its effects on CPG product perception.
Discover why sensory test results can be so variable. This study compares four difference tests to show how observed discriminability challenges signal detection theory.
Discover the attribute-specified DOSD method, a novel approach for measuring consumer acceptance of specific sensory attributes and its usefulness for CPG product development.
A comparative analysis of two A-Not A sensory testing designs. Learn how resource efficiency impacts sensitivity estimates (d') in sensory science studies.
Learn how combining a signal detection satisfaction measure with the DFA test improves consumer acceptance research over traditional hedonic testing methods.
Learn about the Degree of Satisfaction-Difference (DOSD) method, a sensory science tool with higher reliability than hedonic scaling for consumer testing.
Discover how the 2-AFC strategy enhances constant-reference duo-trio tests, providing operational power comparable to the tetrad method for sensory analysis.
An analysis of consumer decision strategies in A Not-AR and 2-AFCR reminder tests and how an 'authenticity test' can either help or hinder sensory performance.
