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Using Eeg To Examine The Top Down Effects On Visual Object Processing, Joseph D. Borders
Using Eeg To Examine The Top Down Effects On Visual Object Processing, Joseph D. Borders
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Object recognition entails a complex interplay between top-down and bottom-up signals. Yet, limited research has investigated the mechanisms through which top-down processes, such as task context and behavioral goals impact the neural basis of visual object processing. Using electroencephalography (EEG), we studied the temporal dynamics of task and object processing to identify how early the impact of task can be observed. We recorded ERPs from participants as they viewed object images from four categories spanning animacy (Inanimate: roller-skate, motorbike; Animate: cow, butterfly) and size (Large: motorbike, cow; Small: roller-skate, butterfly) dimensions under four task conditions comprising conceptual (naturalness, size) and …
How Configural Is The Configural Superiority Effect? A Neuroimaging Investigation Of Emergent Features In Visual Cortex, Olivia Michelle Fox
How Configural Is The Configural Superiority Effect? A Neuroimaging Investigation Of Emergent Features In Visual Cortex, Olivia Michelle Fox
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The perception of a visual stimulus is dependent not only upon local features, but also on the arrangement of those features. When stimulus features are perceptually well organized, a global configuration with a high degree of salience emerges from the interactions between these features, often referred to as emergent features. Emergent features can be demonstrated in the Configural Superiority Effect (CSE): presenting a stimulus within an organized context relative to its presentation in a disarranged one results in better performance. Prior neuroimaging work on the perception of emergent features regards the CSE as an "all or none" phenomenon, focusing on …
Reducing Error Rates In Intelligence, Surveillance, And Reconnaissance (Isr) Anomaly Detection Via Information Presentation Optimization, Donald Glen Church
Reducing Error Rates In Intelligence, Surveillance, And Reconnaissance (Isr) Anomaly Detection Via Information Presentation Optimization, Donald Glen Church
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In the ISR domain, time-critical decision-making and dealing with multiple information feeds places high demands on the human. When designing aids and tools, the decision maker must be taken into account. This research looks toward designing a decision aid based the personality type of the operator. The BFI is used to determine the impact of personality and decision aid type (graphical vs. textual) on performance. Results show Openness and Agreeableness to be the strongest single factors for decision aid impact on performance. A model was also developed to show how the human takes the information and relates it to a …