Agency Forms Undergoing Paperwork Reduction Act Review, 58734-58736 [2024-15966]
Download as PDF
<![CDATA[
58734
Federal Register / Vol. 89, No. 139 / Friday, July 19, 2024 / Notices
Send an email to: FCC504@fcc.gov or
call the Consumer and Governmental
Affairs Bureau at 202–418–0530 (voice).
The proposed agenda for the second
WRC Advisory Committee meeting is as
follows:
Agenda
Second Meeting of the World
Radiocommunication Conference
Advisory Committee
Federal Communications Commission
Monday, August 5, 2024; 9:30 a.m.
1. Opening Remarks
2. Approval of Agenda
3. Approval of the Minutes of the First
Meeting
4. IWG Reports and Consideration
Documents
5. Future Meetings
6. Other Business
Nese Guendelsberger,
Deputy Office Chief, Office of International
Affairs, Federal Communications
Commission.
[FR Doc. 2024–15901 Filed 7–18–24; 8:45 am]
BILLING CODE 6712–01–P
DEPARTMENT OF HEALTH AND
HUMAN SERVICES
Centers for Disease Control and
Prevention
[30Day–24–24ER]
ddrumheller on DSK120RN23PROD with NOTICES1
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
VerDate Sep<11>2014
18:53 Jul 18, 2024
Jkt 262001
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 www.reginfo.gov/public/
do/PRAMain. 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
PO 00000
Frm 00032
Fmt 4703
Sfmt 4703
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
E:\FR\FM\19JYN1.SGM
19JYN1
58735
Federal Register / Vol. 89, No. 139 / Friday, July 19, 2024 / Notices
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
Type of respondents
ddrumheller on DSK120RN23PROD with NOTICES1
Members of the general public who represent a variety
of industrial sectors (Age 18–65).
VerDate Sep<11>2014
18:53 Jul 18, 2024
Jkt 262001
Number of
respondents
Form name
PO 00000
Informed Consent ...........................................................
Pre-Screening Health Questionnaire: Standardized
form with decision logic allowing some questions to
be omitted.
Demographics Questionnaire: Standardized form with
decision logic allowing some questions to be omitted.
Job Survey: Occupational tasks, postures used, duration of exposure, etc.
Pre- and Post-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 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 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 nearinfrared spectroscopy (fNIRS), etc.
Perceived Rate of Exertion: using validated perceived
exertion scales (e.g., Borg Ratings).
Body Function 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 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 Assessments: Close- and openended 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 (laband virtual reality-based).
Frm 00033
Fmt 4703
Sfmt 4703
E:\FR\FM\19JYN1.SGM
Number of
responses per
respondent
Average
burden per
response
(in hours)
4,000
4,000
1
2
5/60
15/60
4,000
1
15/60
4,000
1
15/60
4,000
2
15/60
4,000
12
5/60
4,000
4
60/60
3,000
12
5/60
3,000
6
30/60
2,000
12
15/60
4,000
6
10/60
19JYN1
58736
Federal Register / Vol. 89, No. 139 / Friday, July 19, 2024 / Notices
ESTIMATED ANNUALIZED BURDEN HOURS—Continued
Type of respondents
Number of
respondents
Form name
Self-Perception Surveys and other Structured Questions: Perceived comfort level with technology, perceived safety and trust level with technology, perceived fatigue while interacting with technology, etc.
Biomechanics 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 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: Recorded using various virtual
reality glasses (e.g., Ergoneers) to assess eyes-offtask 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
DEPARTMENT OF HEALTH AND
HUMAN SERVICES
Centers for Disease Control and
Prevention
[30Day–24–0978]
ddrumheller on DSK120RN23PROD with NOTICES1
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 ‘‘Emerging
Infections Program (EIP)’’ 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 February
29, 2024 to obtain comments from the
public and affected agencies. CDC
received one non-substantive comment.
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
VerDate Sep<11>2014
18:53 Jul 18, 2024
Jkt 262001
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 www.reginfo.gov/public/
do/PRAMain. 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.
PO 00000
Frm 00034
Fmt 4703
Sfmt 4703
Number of
responses per
respondent
Average
burden per
response
(in hours)
4,000
6
10/60
2,000
4
30/60
2,000
12
15/60
2,000
12
15/60
Proposed Project
Emerging Infections Program (EIP)
(OMB Control No. 0920–0978, Exp. 2/
28/2026)—Revision—National Center
for Emerging and Zoonotic Infectious
Diseases (NCEZID), Centers for Disease
Control and Prevention (CDC).
Background and Brief Description
The Emerging Infections Programs
(EIP) are population-based centers of
excellence established through a
network of state health departments
collaborating with academic
institutions; local health departments;
public health and clinical laboratories;
infection control professionals; and
healthcare providers. EIPs assist in
local, state, and national efforts to
prevent, control, and monitor the public
health impact of infectious diseases.
Activities of the EIPs fall into the
following general categories: (1) active
surveillance; (2) applied public health
epidemiologic and laboratory activities;
(3) implementation and evaluation of
pilot prevention/intervention projects;
and (4) flexible response to public
health emergencies. Activities of the
EIPs are designed to: (1) address issues
that the EIP network is particularly
suited to investigate; (2) maintain
sufficient flexibility for emergency
response and new problems as they
arise; (3) develop and evaluate public
health interventions to inform public
health policy and treatment guidelines;
(4) incorporate training as a key
function; and (5) prioritize projects that
lead directly to the prevention of
disease. Activities in the EIP Network to
which all applicants must participate
are:
E:\FR\FM\19JYN1.SGM
19JYN1
]]>Agencies
[Federal Register Volume 89, Number 139 (Friday, July 19, 2024)]
[Notices]
[Pages 58734-58736]
From the Federal Register Online via the Government Publishing Office [www.gpo.gov]
[FR Doc No: 2024-15966]
=======================================================================
-----------------------------------------------------------------------
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 www.reginfo.gov/public/do/PRAMain. 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
----------------------------------------------------------------------------------------------------------------
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
