Federal grant · project grant (b)
Career: Disengaging Attention From Distractions -human Attention Is Limited and When Distractions Occur, They Frequently Result in Accidents and Other Adverse Events. Recent Advances in Human-ai Teaming Aim to Overcome Limitations of Human Attention by Combining the Strengths of Humans and Ai to Synergistically Work Together to Accomplish Shared Objectives. for Human-ai Teaming to Be Truly Successful in Everyday Life, More Knowledge Is Needed About How Humans Shift Attention Between Competing Sources of Information. for Example, When Driving, Irrelevant Distractions Such as Flashing Billboards Pull Attention Away From the Road. to Safely Continue, the Driver Needs to Disengage Their Attention From the Distraction and Direct It Back to the Road. the Current Work Evaluates Competing Theories of How Humans Successfully Disengage Attention From Visual Distractions. One Aim Is to Guide Development of New Technologies, Such as Computer Vision and Augmented Reality, That Aim to Overcome Limitations of Human Attention to Improve Performance in High-stakes Situations (e.g., Detecting Potential Threats Within Tsa Scans or Satellite Images). Two Competing Explanations of How Distractions Compete for Attention Are Tested Using Behavioral and Neural (EEG) Measures. the First Explanation Posits That Visual Distractions Impair Behavior by Causing Multiple Shifts of Attention, Whereas the Second Explanation Is That Distractions Impair Behavior by Overloading Working Memory. These Ideas Generate Unique Predictions for How Distractions Will Impact Behavioral and Neural Markers of Attention and Working Memory. to Test These Ideas, the Investigator Combines a Novel, Large-scale Eeg Dataset (i.e., Thousands of Measurements Per Individual) With Targeted Manipulations of Visual Displays. the Work Informs Understanding of the Functioning of Human Attention, Providing Key Information for Building Adaptive Human-ai Teaming Applications That Function Safely and Effectively. This Award Reflects NSF'S Statutory Mission and Has Been Deemed Worthy of Support Through Evaluation Using the Foundation's Intellectual Merit and Broader Impacts Review Criteria.- Subawards Are Not Planned for This Award.
Committed
$659,257
Paid out
$3.7K
<1%
Committed, not yet paid
$655.5K
99%
Loading…
Everything here is this single award's whole record — signed, amended, paid — not a fiscal-year slice. The by-year charts elsewhere split an award across the years it was committed; this page keeps it whole.
Committed is what the government has legally promised on this award so far. Contracts can also carry a ceiling — the maximum if every option is exercised. Unspent ceiling is headroom, not money owed.
The cash actually disbursed against this award. The gap from committed is the disbursement pipeline: promised, not yet cashed.
Each transaction is a signing event — an action that created or changed the award, dated the day it was signed — not a payment. Negative amounts are real: money de-committed at closeout or renegotiation.
One bar, the award’s whole arithmetic: paid out, then committed, not yet paid, then unspent ceiling.