Boon-Kiat Quek

Learn More
The Implicit Association Test (IAT) is designed to measure implicit attitudes, and is often claimed to reveal prejudicial attitudes that are at odds with explicit attitudes. Numerous proposals as to the information processing mechanisms underlying human performance on the IAT have been suggested, many or all of which may well play a role. This makes it(More)
A framework for the development of autonomous unmanned systems is presented in this paper. This framework is based on the belief that autonomy is the outcome of an intelligent decision-making process that enables a system to maximize its own survival within its operating constraints. The guiding principles of this approach, as applied to autonomous unmanned(More)
In this exploratory study, the authors adopted an empirical approach to determine the various primary career anchors possessed by Singapore educators, the impact of the degree of congruency between teaching and the career anchors on intrinsic and extrinsic satisfaction, and turnover intentions. A number of hypotheses were supported and provided the 1st step(More)
Using a previously proposed computational model of human performance on the Implicit Associations Test (IAT), we explore how evaluative conditioning could inform attitude acquisition and formation of automatic associations in memory, and demonstrate the effects of such learning on implicit task performance on the test. This is achieved by augmenting the(More)
Studies reveal that the processing of implicit attitudes could be affected by individual differences in cognitive fluency, as well as by the presence of stereotype threat induced when subjects were primed with negative prejudices about their own social group. Using a previously proposed computational model of human performance on the Implicit Association(More)
  • 1