A method for perceptual evaluation of products by naive subjects: Application to car engine sounds

• Published in: International journal of industrial ergonomics Vol. 40; no. 5; pp. 504 - 516
• Main Authors: Poirson, Emilie, Petiot, Jean-François, Richard, Florent
• Format: Journal Article
• Language: English
• Published: Amsterdam Elsevier B.V 01.09.2010; Elsevier BV; Elsevier
• Subjects: Automobile engines; Comparative analysis; Engineering Sciences; Generalized Procrustes Analysis; Mechanical engineering; Mechanics; Motor sounds; Paired comparison; Perceived quality; Physics; Product quality; Sensory evaluation; Sound; Generalized Procrustes Analysis; Perceived quality; Paired comparison; Sensory evaluation; Motor sounds; Sensory evaluation Paired comparison Perceived quality Generalized Procrustes Analysis Motor sounds
• ISSN: 0169-8141; 1872-8219
• DOI: 10.1016/j.ergon.2010.06.001

Vehicles makers are now extremely concerned by the perceived quality of their products. For the design of many parts of vehicles, sensory profiling techniques are used, which are traditionally carried out by experts. These tests incur a significant financial effort and are time consuming. We propose in this paper an evaluation method with naive subjects, based on paired comparisons. Two studies have been carried out on diesel motor sounds: firstly, the panel of experts of a car maker made a conventional sensory profile and an evaluation by paired comparison. Secondly, 30 naive subjects also completed two tests (ratings and paired comparisons). For the experts, we noticed a very good agreement between the sensory profile and the paired comparisons. For the naives, the paired comparisons gave a better agreement between the subjects and were more discriminating than the ratings. The results of these two tests with the naives were then compared with the conventional sensory profile of the experts using Generalized Procrustes Analysis. Results show that the consensus is better with the paired comparison test. As a result, the evaluation method proposed with naives could be an interesting method for the perceptual evaluation of products. To stay competitive, a company must take into account customer’s perception and react quickly to other competitors. Industry needs efficient techniques for evaluating the perceived quality of industrial products, and to integrate this data into the design process. Using naive subjects in perceptual tests can save the industry significant costs and time reaching customer need.