Trial-level evidence for feedback sensitivity in fixations during category learning has been previously described as weak. In this dissertation, steps were taken to overcome some methodological issues potentially obscuring the evidence for such sensitivity. Jointly, the three experiments reported here suggest that sensitivity to error in visual attention reflects cue competition, as opposed to error-driven learning of a selective visual profile. These outcomes are in agreement with previous research in human vision, which holds that fixations reflect the agent’s task representation. A case is made for the top-down control of visual attention during category learning, manifested as effects of prior knowledge, long-standing expectations, deci...
https://kent-islandora.s3.us-east-2.amazonaws.com/ugresearch/2018/2018all/91/thumbnail.jpgCategoriza...
Labels for the categories have been found to facilitate learning by boosting accuracy. According to ...
Category learning is vitally important to human cognition because it enables people to apply learned...
Learning how to allocate attention properly is essential for success at many categorization tasks. A...
Learning how to allocate attention properly is essential for success at many categorization tasks. A...
affected by (a) attention, which selects which aspects of stimuli are available for further processi...
conducted. Forty years of research has assumed that category learning often involves learning to sel...
Many decision makers are thought to economize on attention by processing information at the simpler ...
What is the role of feedback information in different visual category learning (VCL) scenarios? To a...
Besides visual salience and observers' current intention, prior learning experience may influence de...
Models of attention in category learning tasks have typically treated attention as a weighting of ho...
In categorization tasks optimization of performance depends on attention to relevant stimulus featur...
Attention can be biased by the previous learning and experience. We present an algorithmic-level mod...
Being able to categorize objects as similar or different is an essential skill. An important aspect ...
We can learn new tasks by listening to a teacher, but we can also learn by trial-and-error. Here, we...
https://kent-islandora.s3.us-east-2.amazonaws.com/ugresearch/2018/2018all/91/thumbnail.jpgCategoriza...
Labels for the categories have been found to facilitate learning by boosting accuracy. According to ...
Category learning is vitally important to human cognition because it enables people to apply learned...
Learning how to allocate attention properly is essential for success at many categorization tasks. A...
Learning how to allocate attention properly is essential for success at many categorization tasks. A...
affected by (a) attention, which selects which aspects of stimuli are available for further processi...
conducted. Forty years of research has assumed that category learning often involves learning to sel...
Many decision makers are thought to economize on attention by processing information at the simpler ...
What is the role of feedback information in different visual category learning (VCL) scenarios? To a...
Besides visual salience and observers' current intention, prior learning experience may influence de...
Models of attention in category learning tasks have typically treated attention as a weighting of ho...
In categorization tasks optimization of performance depends on attention to relevant stimulus featur...
Attention can be biased by the previous learning and experience. We present an algorithmic-level mod...
Being able to categorize objects as similar or different is an essential skill. An important aspect ...
We can learn new tasks by listening to a teacher, but we can also learn by trial-and-error. Here, we...
https://kent-islandora.s3.us-east-2.amazonaws.com/ugresearch/2018/2018all/91/thumbnail.jpgCategoriza...
Labels for the categories have been found to facilitate learning by boosting accuracy. According to ...
Category learning is vitally important to human cognition because it enables people to apply learned...