Notice2024-15966
Agency Forms Undergoing Paperwork Reduction Act Review
Primary source
Metadata and text below are from the Federal Register, a public-domain U.S. government work. Always verify the official published version before relying on it for any legal matter.
Published
July 19, 2024
Issuing agencies
Health and Human Services DepartmentCenters for Disease Control and Prevention
Full Text
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<title>Federal Register, Volume 89 Issue 139 (Friday, July 19, 2024)</title>
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[Federal Register Volume 89, Number 139 (Friday, July 19, 2024)]
[Notices]
[Pages 58734-58736]
From the Federal Register Online via the Government Publishing Office [<a href="http://www.gpo.gov">www.gpo.gov</a>]
[FR Doc No: 2024-15966]
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DEPARTMENT OF HEALTH AND HUMAN SERVICES
Centers for Disease Control and Prevention
[30Day-24-24ER]
Agency Forms Undergoing Paperwork Reduction Act Review
In accordance with the Paperwork Reduction Act of 1995, the Centers
for Disease Control and Prevention (CDC) has submitted the information
collection request titled ``Direct Reading, Sensor, and Robotics
Technology Assessment in Lab/Simulator-based Settings'' to the Office
of Management and Budget (OMB) for review and approval. CDC previously
published a ``Proposed Data Collection Submitted for Public Comment and
Recommendations'' notice on insert April 23, 2024, to obtain comments
from the public and affected agencies. CDC did not receive comments
related to the previous notice. This notice serves to allow an
additional 30 days for public and affected agency comments.
CDC will accept all comments for this proposed information
collection project. The Office of Management and Budget is particularly
interested in comments that:
(a) Evaluate whether the proposed collection of information is
necessary for the proper performance of the functions of the agency,
including whether the information will have practical utility;
(b) Evaluate the accuracy of the agencies estimate of the burden of
the proposed collection of information, including the validity of the
methodology and assumptions used;
(c) Enhance the quality, utility, and clarity of the information to
be collected;
(d) Minimize the burden of the collection of information on those
who are to respond, including, through the use of appropriate
automated, electronic, mechanical, or other technological collection
techniques or other forms of information technology, e.g., permitting
electronic submission of responses; and
(e) Assess information collection costs.
To request additional information on the proposed project or to
obtain a copy of the information collection plan and instruments, call
(404) 639-7570. Comments and recommendations for the proposed
information collection should be sent within 30 days of publication of
this notice to <a href="http://www.reginfo.gov/public/do/PRAMain">www.reginfo.gov/public/do/PRAMain</a>. Find this particular
information collection by selecting ``Currently under 30-day Review--
Open for Public Comments'' or by using the search function. Direct
written comments and/or suggestions regarding the items contained in
this notice to the Attention: CDC Desk Officer, Office of Management
and Budget, 725 17th Street NW, Washington, DC 20503 or by fax to (202)
395-5806. Provide written comments within 30 days of notice
publication.
Proposed Project
Direct Reading, Sensor, and Robotics Technology Assessment in Lab/
Simulator-based Settings--New--National Institute for Occupational
Safety and Health (NIOSH), Centers for Disease Control and Prevention
(CDC).
Background and Brief Description
The Centers for Disease Control and Prevention (CDC), National
Institute for Occupational Safety and Health (NIOSH), is requesting
approval of a New Generic information collection for a period of three
years under the project titled ``Direct Reading Methodologies, Sensor
Technologies, and Robotics Technology Assessment in Lab/Simulator-based
Settings.'' NIOSH is a federal institute that operates within the CDC
specifically dedicated to generating new knowledge in the field of
occupational safety and health and is responsible for transferring that
knowledge into practice for the betterment of workers. Given NIOSH's
mission to develop new knowledge, the Institute is uniquely positioned
to evaluate potential benefits and risks relative to occupational
safety and health issues of the 21st century workplace, work, and
workforce--also discussed as the Future of Work (FOW). Areas requiring
detailed attention and advancement include research and development in
artificial intelligence, robotics, and sensor technologies. NIOSH has
established alliances and partnerships with other federal agencies and
external partners to collaborate and share technical knowledge to
improve awareness around workplace hazards and appropriate safeguards
as it relates to technology. Consequently, NIOSH created two Centers
charged with leading and coordinating these FOW efforts, with a focus
on technology assessment and integration in the workplace that revolves
around emerging recommendations and standards in advancing automation.
First, in 2014, the NIOSH Center for Direct Reading and Sensor
Technologies (CDRST) was established to research and develop
recommendations on the use of 21st century technologies in occupational
safety and health. Both direct-reading methodologies and sensors are
used to detect and monitor hazardous conditions, to assess and document
intervention strategies, and especially to immediately trigger alarms
in the event of unsafe conditions. Examples of direct reading and
sensor technologies include real-time personal monitoring, wearable
monitors, and exoskeletons including wearable robots.
Second, in 2017, NIOSH established the Center for Occupational
Robotics Research (CORR) to study the nature of robots in the
workplace, conduct workplace interventions to prevent robot-related
worker injuries, and develop guidance for safe interactions between
humans and robots. There are several common types of robots used in
occupational environments--traditional industrial robots; professional
or service robots; collaborative robots; and mobile robots (e.g.,
drones and powered exoskeletons). In most cases, NIOSH laboratories
including virtual reality (VR) facilities, are used to conduct this
research in a safe and controlled environment. Within these studies,
human factors, safety engineering, and test strategies are utilized to
provide feedback about the utility of various robotics technology in
the workplace to inform design, as well as possible standards.
Direct reading methodologies, sensor technologies, and robotics
technology play important roles in advancing automation to keep many
workers
[[Page 58735]]
within various industries safe while performing their professional
duties but rapidly evolve and change in scope and use. NIOSH requests a
Generic information collection package for assessing the safety and
health considerations of these rapidly changing direct reading methods,
sensor, and robotics technologies. Different types of data collection
will be collected around these technologies including: (1) body
function assessments to identify the validity and reliability of direct
reading, sensor, and robotic technologies; (2) physiological
assessments to identify the impact of direct reading, sensor, and
robotic technologies on worker outputs; (3) perceived knowledge,
attitudes, skills, and other personal attributes to assess risks
associated with the use and integration of direct reading, sensor, and
robotics technologies among workers; and (4) barriers that workers face
while using or interacting with direct reading methodologies, sensor
technologies, and robotic technologies to prevent unintended safety and
health consequences--including adoption and maintenance challenges.
Collectively, this information will be used to inform research,
development, and integration recommendations to advance the nation's
FOW needs. These data collection efforts will most often occur in
controlled laboratory space, including virtual reality space that
simulates these technologies. In some cases (e.g., survey or follow-up
interview administration) data collection may occur electronically.
Respondents are expected to be reflective of the full spectrum of
the U.S. workforce and from industries that rely heavily on direct
reading methodologies, sensor technologies, and robotics technologies
to protect workers (e.g., public safety and emergency response,
manufacturing, retail and trade, construction, mining, and oil and
gas). Expected respondents include any worker who has experience with,
is required to use, or willing to use and provide feedback on any sort
of direct reading method, sensor, or robotics technology in the
workplace--these could be wearable or non-wearable. Common job roles
that wear or interact with such technology include construction
workers, manufacturing workers, oil gas and extraction workers,
mineworkers, retail workers, maintenance workers, manufacturing
workers, fire chiefs/firefighters, law enforcement officers, and any
industrial hygiene or occupational safety and health professional who
oversees the integration and use of new technologies in the workplace.
CDC requests OMB approval for an estimated 205,002 total burden
hours with an estimated annual burden of 68,334 hours. There is no cost
to respondents other than their time to participate.
Estimated Annualized Burden Hours
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Number of Average burden
Type of respondents Form name Number of responses per per response
respondents respondent (in hours)
----------------------------------------------------------------------------------------------------------------
Members of the general public who Informed Consent........ 4,000 1 5/60
represent a variety of industrial Pre-Screening Health 4,000 2 15/60
sectors (Age 18-65). Questionnaire:
Standardized form with
decision logic allowing
some questions to be
omitted.
Demographics 4,000 1 15/60
Questionnaire:
Standardized form with
decision logic allowing
some questions to be
omitted.
Job Survey: Occupational 4,000 1 15/60
tasks, postures used,
duration of exposure,
etc.
Pre- and Post- 4,000 2 15/60
Assessments: Determine
changes in knowledge,
skills, and abilities
as it related to
efficacy, confidence,
and perceived
competence in
technology assessment/
intervention (this
could be strictly
quantitative or semi-
structured).
Anthropometric 4,000 12 5/60
Measurements: Calipers/
digital measuring of
facial and body
dimensions with and
without gear (e.g.,
chest depth; foot
breadth with and
without proper personal
protective equipment)
to assess functional
integration of
wearables and other
sensors.
Physiological 4,000 4 60/60
Measurements:
Measurements recorded
using chest worn heart
rate monitor strap,
blood pressure cuff/
strap, COSMED Kb5 or
similar, SQ2020-1F8
temperature logger,
TOSCA 500 pulse
oximeter, Koken
breathing waveform
recording mask, MOXY
muscle oxygenation
strap sensor,
neurophysiological
measures including
Electroencephalography
(EEG), and Functional
near-infrared
spectroscopy (fNIRS),
etc.
Perceived Rate of 3,000 12 5/60
Exertion: using
validated perceived
exertion scales (e.g.,
Borg Ratings).
Body Function 3,000 6 30/60
Assessments:
Measurements taken
(e.g., on the low back,
neck, shoulder, arm,
etc.) to conduct
strength testing, range
of motion testing,
reference or maximum
voluntary exertions,
endurance testing with
different direct
reading, wearable
sensor, and robotics
technologies.
Motion Measurement 2,000 12 15/60
Cameras: Camera with
motion amplification
technology (e.g., Iris
M, Moasure One, etc.)
that can measure
deflection,
displacement, movement,
and vibration not
visible to the human
eye using biomechanical
markers for motion
capture.
Perceived Usability 4,000 6 10/60
Assessments: Close- and
open-ended questions to
determine system
usability including
usability scales,
mental workload, body
part discomfort, and
contact stress
experiences of new
direct reading, sensor,
and robotics
technologies (lab- and
virtual reality-based).
[[Page 58736]]
Self-Perception Surveys 4,000 6 10/60
and other Structured
Questions: Perceived
comfort level with
technology, perceived
safety and trust level
with technology,
perceived fatigue while
interacting with
technology, etc.
Biomechanics 2,000 4 30/60
measurements: Force
plate, strain gauges,
stopwatch,
accelerometers
(including
dataloggers),
electromyography
sensors human/equipment
interaction forces,
whole-body motion,
Electromyography (EMG)
for muscle activity,
Near-infrared
spectroscopy (NIRS) for
muscle oxygenation, etc.
Task Performance 2,000 12 15/60
Measures: Measures
recorded using various
virtual reality systems
(e.g., Vive, Meta
quest) and components
(e.g., controllers)
that quantify the
subjects' performance
such as time to
complete, errors,
movement path, and
omissions.
Eye Tracking Measures: 2,000 12 15/60
Recorded using various
virtual reality glasses
(e.g., Ergoneers) to
assess eyes-off-task
time and recognition in
response to simulated
environments designed
to assess integration
of new robotic
technologies and design
set-up.
----------------------------------------------------------------------------------------------------------------
Jeffrey M. Zirger,
Lead, Information Collection Review Office, Office of Public Health
Ethics and Regulations, Office of Science, Centers for Disease Control
and Prevention.
[FR Doc. 2024-15966 Filed 7-18-24; 8:45 am]
BILLING CODE 4163-18-P
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