Naturalness

About: Naturalness is a research topic. Over the lifetime, 1305 publications have been published within this topic receiving 31737 citations.

Preference for naturalness of European organic consumers: First evidence of an attitude-liking gap

Abstract: Purpose The purpose of this paper is to provide insights into European organic consumers’ attitudes towards natural food and in their sensory preference for it. It explores whether there is any evidence for a latent dimension that represents consumers’ attitudes towards naturalness and which aspects can be assigned to this dimension. However, the main scope is to investigate whether attitudes towards naturalness are able to predict the liking of natural food. Design/methodology/approach Sensory tests of strawberry yoghurt are combined with consumer information obtained by means of a standardised questionnaire. About 1,800 organic consumers from France, Germany, Italy, the Netherlands, Poland and Switzerland were asked to blindly test two strawberry yoghurt samples that differed only in their absence/presence of an aroma additive. Findings On average, the consumers revealed a positive attitude towards natural food, but a negative sensory preference for the more natural yoghurt sample. Correlations between these two variables indicate that for most countries one cannot conclude that more naturalness-oriented consumers actually prefer the taste of more naturally flavoured yoghurts. This finding is interpreted as an attitude-liking gap. Research limitations/implications More research is necessary in order to clarify the reasons for the attitude-liking gap, since the authors can only speculate about these. Also, suitable data are needed to confirm the assumption made here that the naturalness of strawberry yoghurt can be determined by the degree of flavour intensity, especially against the background that the sensory skills of consumers are usually weak. Originality/value No attempt has been undertaken so far to test the claim that natural food products taste better and whether consumers with a positive attitude towards naturalness actually prefer the taste of a natural product over the taste of a more processed one. The present study attempts to fill this gap by exploring the preference for naturalness in a cross-national context.

Modification of Listener-Judged Naturalness in the Speech of Stutterers

Abstract: This study investigated the effect of regular feedback of listener-judged speech naturalness ratings on the speech of stutterers. Six adult stutterers each participated in a time-series ABA experiment. During the treatment phase the stutterer was instructed to improve a clinician's rating, on a 9-point scale, of the naturalness of each 30-s interval of the stutterer's spontaneous speech. The results indicate that the naturalness ratings and stuttering for 5 of the subjects made favorable changes during the treatment phase. Analyses of the findings show that only some of the naturalness judgments were influenced by stuttering frequency and speech rate. A perceptual analysis of the speech of 2 subjects suggested that the speech naturalness ratings were also probably influenced by other less obvious variables.

Large-N-c naturalness in coupled-channel meson-meson scattering

Abstract: The analysis of hadronic interactions with effective field theory techniques is complicated by the appearance of a large number of low-energy constants, which are usually fitted to data. On the other hand, the large-$N_c$ limit imposes natural short-distance constraints on these low-energy constants, providing a parameter reduction. A Bayesian interpretation of the expected $1/N_c$ accuracy allows for an easy and efficient implementation of these constraints, using an augmented $\chi^2$. We apply this approach to the analysis of meson-meson scattering, in conjunction with chiral perturbation theory to one loop and coupled-channel unitarity, and show that it helps to largely reduce the many existing ambiguities and simultaneously provide an acceptable description of the available phase shifts.

Image Feature Types and Their Predictions of Aesthetic Preference and Naturalness

Abstract: Previous research has investigated ways to quantify visual information of a scene in terms of a visual processing hierarchy, i. e. making sense of visual environment by segmentation and integration of elementary sensory input. Guided by this research, studies have developed categories for low-level visual features (e.g., edges, colors), high-level visual features (scene-level entities that convey semantic information such as objects), and how models of those features predict aesthetic preference and naturalness. For example, in Kardan et al. (2015), 52 participants provided aesthetic preference and naturalness ratings, which are used in the current study, for 307 images of mixed natural and urban content. Kardan et al. (2015) then developed a model using low-level features to predict aesthetic preference and naturalness and could do so with high accuracy. What has yet to be explored is the ability of higher-level visual features (e.g., horizon line position relative to viewer, geometry of building distribution relative to visual access) to predict aesthetic preference and naturalness of scenes, and whether higher-level features mediate some of the association between the low-level features and aesthetic preference or naturalness. In this study we investigated these relationships and found that low- and high- level features explain 68.4% of the variance in aesthetic preference ratings and 88.7% of the variance in naturalness ratings. Additionally, several high-level features mediated the relationship between the low-level visual features and aesthetic preference. In a multiple mediation analysis, the high-level feature mediators accounted for over 50% of the variance in predicting aesthetic preference. These results show that high-level visual features play a prominent role predicting aesthetic preference, but do not completely eliminate the predictive power of the low-level visual features. These strong predictors provide powerful insights for future research relating to landscape and urban design with the aim of maximizing subjective well-being, which could lead to improved health outcomes on a larger scale.