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Derived perceptions

When viewing a scene, our images are normally Gestalt expectations or derived perceptions. Nevertheless, they are linked with the basic perceptions through the specific properties of the viewer s visual mechanisms. The total appearance model includes consideration of appearance images, what they are, how they arise, how they can be measured, and how they can be manipulated. It can be applied to any situation in which individnals find themselves, but applications described here are confined to foods. [Pg.11]

Expectations or derived perceptions of visnal safety, visnal identification, visnal flavonr, visnal textnre and visual satisfaction are deduced and derived from appearance. For the cheny cnstard they inclnde identification of its place within the meal, that it is a dessert, as well as provoking some level of satisfaction appropriate to the observer. Additional expectations inclnde ... [Pg.28]

Subjects using connotative scales can assess such expectations. For example, a lumpiness scale ranging from very smooth to very lumpy can be devised for the custard. The relationships between basic and derived perceptions reveal the appearance and expectation details for the customer in the shop, cook in the kitchen and diner in the restaurant. [Pg.29]

General societal risk data. It is important to consider the context of societal risk data. Some particularly important factors include whether or not the risk is voluntary, and whether persons exposed to the risk derive any benefit from the activity that generates the risk. Covello, Sandman, and Slovic, Slovic, and Wilson and CroLich provide examples of general societal risk data and discuss risk comparison and perception. [Pg.55]

Decipol A unit derived in an attempt to quantify odor concentration by the perception of odor. [Pg.1427]

Much of our present day knowledge of sweetness intensity, both at the threshold level, where taste begins, and above the threshold level, derives from the application of psychophysical techniques. It is now evident that the psychophysical procedure used measure separate aspects of sweetness perception. Hedonic responses cannot be predicted from intensity of discrimination data, and vice versa. The taste-panel evaluation of sweetness is of fundamental importance in the development of worthwhile structure-taste relationships. Therefore, it is vital that the appropriate psychophysical method and experimental procedure be adopted for a particular objective of investigation. Otherwise, false conclusions, or improper inferences, or both, result. This situation results from the failure to recognize that individual tests measure separate parameters of sensory behavior. It is not uncommon that the advocates of a specific method or procedure seldom... [Pg.349]

There have also been attempts to describe the temporal aspects of perception from first principles, the model including the effects of adaptation and integration of perceived stimuli. The parameters in the specific analytical model derived were estimated using non-linear regression [14]. Another recent development is to describe each individual TI-curve,/j(r), i = 1, 2,..., n, as derived from a prototype curve, S t). Each individual Tl-curve can be obtained from the prototype curve by shrinking or stretching the (horizontal) time axis and the (vertical) intensity axis, i.e. fff) = a, 5(b, t). The least squares fit is found in an iterative procedure, alternately adapting the parameter sets (a, Zi, for 1=1,2,..., n and the shape of the prototype curve [15],... [Pg.444]

Differences in integration time scales may also affect our perception of key derived parameters such as the ThE ratio (Cochran et al. 2000). This ratio (see above) compares the POC flux derived from water column " Th profiles (and thus integrating into the past) with present primary production. As classically measured using incubation techniques, primary production is an instantaneous measurement representing the phytoplankton community as sampled at a single time. Under bloom conditions, the export of POC may lag the production of fresh organic matter and ThE ratios calculated late in a bloom may be overestimates. [Pg.482]

We are also grateful to all those readers of our book who have provided comments on their perceptions of the value of Modern Pharmaceutics and suggested to us ways in which the book might be improved. We have most carefully considered all such ideas and some of the changes that we have implemented in this edition derive from advice given to us by industrial pharmaceutical scientists, university faculty, and students. [Pg.4]

The Rvalues are partition coefficients. The assumption that these are real constants Is seldom completely true, of course, because equilibrium Is rarely achieved and because the equilibrium ratios generally are not the same for all concentration levels. Moreover, It Is difficult to find the needed Information, and one must often accept a single literature value as typical of a given Intermedia transfer. When the organic content of the soli Is known or can be accurately estimated, one can usually derive Kgw from a compound s aqueous solubility, S, or Its octanol/water partition coefficient, KQW (14) Values of Kpa, namely "bloconcentratlon factors" between feed and meat animals (15,16), can also be derived from S or KQW. Bloconcentratlon factors between water and fish are well documented (14) A considerable weakness exists In our perception of the proper estimates to use for partition coefficients between soli and edible crop materials. Thus, at one time, two of the present authors used a default value of Kgp = 1 for munitions compounds that are neither very soluble In water nor very Insoluble (4) at another time, a value of was assumed for compounds with very low values of Ksw, l.e., polybromoblphenyls (6). [Pg.271]

On the use of metrics for indicating safety, likelihood and consequence have a principal role and they form the two basic dimensions. When indicating risks, from historical facts and figures, simulations and knowledge, the likelihood and consequences can be established. The actual likelihood and consequence can never be derived exactly and they will always be based on perceptions of risks as discussed in Chapter 1. This perception of risks will in this Chapter be referred to as the perceived risks , which is the defined as the (perceived) likelihood and the perceived consequences of an event. The Sis attempt to indicate this perceived safety related risk in terms of the perceived likelihood and the perceived safety-related consequence of an event. For reasons of clarity the term risk will refer to the perceived safety related risk and consequences will refer to the perceived safety related consequences in the remainder of this Chapter. The consequences are always based on people s perception of how great the damage to people, environment, or assets might be. The likelihood of an event will sometimes be estimated (perceived). [Pg.43]


See other pages where Derived perceptions is mentioned: [Pg.10]    [Pg.11]    [Pg.29]    [Pg.19]    [Pg.10]    [Pg.11]    [Pg.29]    [Pg.19]    [Pg.294]    [Pg.406]    [Pg.6]    [Pg.23]    [Pg.693]    [Pg.710]    [Pg.211]    [Pg.308]    [Pg.498]    [Pg.200]    [Pg.151]    [Pg.202]    [Pg.819]    [Pg.16]    [Pg.120]    [Pg.71]    [Pg.72]    [Pg.72]    [Pg.86]    [Pg.444]    [Pg.71]    [Pg.366]    [Pg.55]    [Pg.18]    [Pg.239]    [Pg.47]    [Pg.261]    [Pg.44]    [Pg.47]    [Pg.230]    [Pg.16]    [Pg.33]    [Pg.54]   
See also in sourсe #XX -- [ Pg.10 , Pg.29 ]




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Perception

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