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Jake puts his coffee cup in the sonic dishwasher and walks over to his wall computer to begin his workday at his company, Digital Rights Management, International. His personal Net comes up with all the contacts and Web sites he communicates with assembled there on his modular home page. He signs on to his company intranet, which scans his retina for identification and opens the virtual door to his digital office. Jake s virtual assistant Brad welcomes him and displays videophone messages from the day before. Jake views the videos and returns a couple of calls, jotting notes right on his digital pad, which instantly encrypts the notes and stores them in corresponding client folders for later retrieval. (continued)

Finally, substituting all the elements into Equation 25.35, the estimated covariance between t1y and t2y is Est[cov(t1y , t2y )] = = 4(n 2)sti.1y ,ti.2y + 2stih1y ,tih2y n(n 1) 4(3)(.1813) + 2(.1421) 5(4) (25.40)

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the inferred trait is ascribed to the actor in the characterization stage Both of these stages are assumed to be relatively automatic that is, they occur spontaneously, ef ciently, and without intention In a third correction stage, individuals may consider the situational constraints that might have in uenced the behavior (eg, Mommy threatened Hannah with retribution if she failed to share her dessert) and adjust their dispositional inferences accordingly (eg, perhaps Hannah isn t so kind after all) This correction process is assumed to be a controlled activity that requires motivation and processing capacity for its execution In numerous experiments, Gilbert and colleagues have pursued the implications of this model by demonstrating that situational constraints are often not taken into account when perceivers are given a taxing mental task to perform that occupies their central executive resources (eg, rehearsing a random digit string).

158 10. 11. 12.

For example, when watching a nervouslooking woman, people spontaneously assume that she is an anxious person; only subsequently do they correct this initial assumption in light of the fact that she is in an anxietyprovoking situation (eg, a job interview) If they have to watch the seemingly nervous person while rehearsing a digit string, they still automatically infer the trait of anxiety, but they no longer engage in corrective adjustments in light of the situational constraint This pattern of results is quite consistent with the idea that correction is a controlled, resource-dependent process When attentional resources are diminished, the automatic tendencies of the system remain unchecked by more effortful control mechanisms A more general treatment of the nature of correction processes has been provided by Wegener and Petty (1997) in their exible correction model.

According to this model, correction processes operate on the basis of lay theories about the direction and extent of biasing in uences When people suspect that they may have fallen prey to some untoward in uence, they rely on their intuitive ideas about the nature of the bias to make compensatory corrective adjustments For example, if they believe that their judgments of a particular person have been assimilated to stereotypes about the person s gender group, then they would adjust those judgments in the opposite direction to make them less stereotypical in nature Conversely, if they believe that their judgment of a target has been contrasted away from a salient standard of comparison, they will make adjustments that result in judgments in which the target is seen as more similar to the comparison standard Several points are important to keep in mind with regard to this correction process.

First, it requires that the perceiver detect the biasing in uence before the process can initiate (Stapel, Martin, & Schwarz, 1998; Strack & Hannover, 1996) Many automatic biasing in uences are.

KeyValues provides you with several tags for use within your templates that enable you to access the entry information in different ways:

probability of originating calls and the forced termination probability of ongoing calls are the primary criteria for indicating performance. In this section, we describe several existing traffic models and handoff schemes.

If you need to store objects of your own, you must create a subclass of MT::Object. Suppose you wanted to create a list of weblogs to automatically ping (to a target TrackBack ping URL, perhaps a category TrackBack URL) for each post you create. Listing 8-5 provides such an example.

Triple-DES is typically used with three keys, which is obviously much more secure than DES with its single key. Yet even though Triple-DES is considered secure today, there will come a time in the near future when it is no longer secure. This is a problem inherent in fixed-length keys. (That is why TripleDES is likely to be replaced with AES, which has a variable key length.)

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