Crash Avoidance Warning System Human-Machine Interface Research

ICR 202504-2127-007

OMB:

Federal Form Document

ICR Details
202504-2127-007
Received in OIRA
DOT/NHTSA
Crash Avoidance Warning System Human-Machine Interface Research
New collection (Request for a new OMB Control Number)   No
Regular 05/19/2025
  Requested Previously Approved
36 Months From Approved
643 0
239 0
0 0

The National Highway Traffic Safety Administration (NHTSA) is seeking approval for this new information collection request (ICR) to conduct 6 new voluntary information collections as part of a one-time research program examining drivers’ interactions with crash avoidance technology with different human-machine interface (HMI) characteristics. Crash avoidance warning systems aid vehicle drivers in avoiding crashes by presenting alerts and warnings to inform drivers of situations in which the system has determined, via sensor information, that a crash is possible. These systems communicate the occurrence of such conditions to drivers via different sensory modalities, such as visual or auditory signals or vibration of the seat or steering wheel. The research will examine how the characteristics of the visual, auditory, and/or haptic (i.e., touch) signals presented by the system may affect the driver’s response to a crash-imminent situation. This research will help inform NHTSA’s rulemaking activities relating to crash avoidance technologies. The research will involve driver behavior observation while driving on a test track, public road, or in a simulated environment (i.e., driving simulator) as means of collecting needed data. Data collection may also involve stationary laboratory measurements relating to crash avoidance warning signal characteristics, such as stationary laboratory measurements of individuals’ visual angles when gazing at in-vehicle visual signals (e.g., instrument panel symbols) and displays. Experimental data collection will include measurements such as those relating to driving performance, vehicle control metrics, and eye glance behavior. Study participants are members of the general public and include licensed car and/or commercial truck drivers aged 25 to 65 who are healthy and able to drive without assistive devices. The full information collection request includes six information collections: Interest Response Form, Candidate Screening Questions, Appointment Scheduling, Informed Consent, Experimental Data Collection, and Post-Drive Questionnaire. Data collection will begin upon receipt of PRA clearance. Response to this information collection is voluntary and will be conducted in phases corresponding to the different crash avoidance warning system types to be examined (i.e., forward, lateral, and rear crash avoidance). This is a new information collection that is estimated at 239 annual burden hours and $7,200 annual opportunity costs.

None
None

Not associated with rulemaking

  89 FR 88342 11/07/2024
90 FR 21113 05/16/2025
Yes

  Total Request Previously Approved Change Due to New Statute Change Due to Agency Discretion Change Due to Adjustment in Estimate Change Due to Potential Violation of the PRA
Annual Number of Responses 643 0 0 643 0 0
Annual Time Burden (Hours) 239 0 0 239 0 0
Annual Cost Burden (Dollars) 0 0 0 0 0 0
Yes
Miscellaneous Actions
No
New collection with 239 estimated burden hours.

$38,313
No
    Yes
    No
No
No
No
No
Debbie Sweet 202 366-7179

  No

On behalf of this Federal agency, I certify that the collection of information encompassed by this request complies with 5 CFR 1320.9 and the related provisions of 5 CFR 1320.8(b)(3).
The following is a summary of the topics, regarding the proposed collection of information, that the certification covers:
 
 
 
 
 
 
 
    (i) Why the information is being collected;
    (ii) Use of information;
    (iii) Burden estimate;
    (iv) Nature of response (voluntary, required for a benefit, or mandatory);
    (v) Nature and extent of confidentiality; and
    (vi) Need to display currently valid OMB control number;
 
 
 
If you are unable to certify compliance with any of these provisions, identify the item by leaving the box unchecked and explain the reason in the Supporting Statement.
05/19/2025


© 2025 OMB.report | Privacy Policy