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In Klein and MacInnes, observers searched a complex scene for a camouflaged target. Reflecting Inhibition of Return (IOR) observers were slower to detect and saccade to uncamouflaged probes that interrupted active search when these were placed in the vicinity of a recent fixation. To explore the generality of this finding of IOR during search, we changed(More)
Three monoclonal antibodies (mAbs) raised against the leech CNS recognize surface antigens on small sets and subsets of neurons or on glial cells. On immunoblots, they all recognize proteins of 130 kDa molecular weight. In addition, they each bind up to several different lower molecular weight forms. The 130 kDa polypeptides recognized by these mAbs are not(More)
Humans use intuition and experience to classify everything they perceive, but only if the distinguishing patterns are visible. Machine-learning algorithms can learn class information from data sets, but the created classes' meaning isn't always clear. A proposed mixed-initiative approach combines intuitive visualizations with machine learning to tap into(More)
Semantic space algorithms account for human performance in semantic tasks via knowledge representations derived from the analysis of large text corpora. The N400 Event-Related Potential (ERP) component is thought to reflect automatic access of the same lexical-semantic information. We trained LSA (Landauer & Dumais, 1997) and HAL (Lund & Burgess, 1997) on a(More)
Scaffolding techniques allow human instructors to support novice learners in critical early stages, and to remove that support as expertise grows. This paper describes nAble, an adaptive scaffolding agent designed to guide new users through the use of an analytic software tool in the ‘nSpace Sandbox’ for visual sense-making. nAble adapts the(More)
Numerous investigations have revealed that eye movements and fixation locations differ as a function of how an individual is processing a scene (e.g., Castelhano et al., 2009; Dodd et al., 2009; Land & Hayhoe, 2001; Mills et al., 2011, Yarbus, 1967). As a consequence, a common question of interest is whether a participant's task can be predicted from their(More)
C lasses or labels are one type of information we can extract from data sets. Classifying and labeling something not only gives us information on what it is but also provides knowledge about how it relates to other things we observe. Humans have evolved to be natural and accurate classifi ers, but our ability to categorize objects or create new categories(More)
In Klein & MacInnes [1] observers searched a complex scene for a camouflaged target. Reflecting Inhibition of Return (IOR) observers were slower to detect and saccade to uncamouflaged probes that interrupted active search when these were placed in the vicinity of a recent fixation. To explore the generality of this finding of IOR during search, we changed(More)
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