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Goal-directed attentional control can substanially aid visual search, but only if it is recruited in an effective manner. Previously we found that strategies chosen to control attention vary considerably across individuals, and we proposed that effort avoidance may lead some individuals to choose suboptimal strategies. Here we present a more thorough analysis of individual differences in attentional control strategies. We used the adaptive choice visual search, which provides a method to quantify an individual's attentional control strategy in a dynamically changing, unconstrained environment. We found that individual's strategy choices are highly reliable across sessions, suggesting that attentional control strategies are stable and trait-like. In Experiment 2, we explored the extent to which strategy use was related to subjective evaluations of effort and performance. Results showed that the extent to which individuals found the optimal strategy to be effortful and effective predicted their likelihood of making optimal choices on a subsequent choice block. These results provide the first evidence for a relationship between effort and strategic attentional control, and they highlight the important and often neglected role of strategy in understanding attentional control. (PsycINFO Database Record
This article was published in the following journal.
Name: Journal of experimental psychology. Human perception and performance
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Differences in measurable biological values, characteristics, or traits, within one individual under different conditions for the individual such as fasting, season of the year, age, or state of wellness.
Temporary visual deficit or impaired visual processing occurring in a rapid serial visual presentation task. After a person identifies the first of two visual targets, the ability to detect the second target is impaired for the next few hundred milliseconds. This phenomenon is called attentional blink.
A method of analyzing the variation in utilization of health care in small geographic or demographic areas. It often studies, for example, the usage rates for a given service or procedure in several small areas, documenting the variation among the areas. By comparing high- and low-use areas, the analysis attempts to determine whether there is a pattern to such use and to identify variables that are associated with and contribute to the variation.
Longitudinal patient-maintained records of individual health history and tools that allow individual control of access.
The failure by the observer to measure or identify a phenomenon accurately, which results in an error. Sources for this may be due to the observer's missing an abnormality, or to faulty technique resulting in incorrect test measurement, or to misinterpretation of the data. Two varieties are inter-observer variation (the amount observers vary from one another when reporting on the same material) and intra-observer variation (the amount one observer varies between observations when reporting more than once on the same material).