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Federal Register / Vol. 89, No. 79 / Tuesday, April 23, 2024 / Notices
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. 2024–08591 Filed 4–22–24; 8:45 am]
BILLING CODE 4163–18–P
DEPARTMENT OF HEALTH AND
HUMAN SERVICES
Centers for Disease Control and
Prevention
[60Day–24–24ER; Docket No. CDC–2024–
0029]
Proposed Data Collection Submitted
for Public Comment and
Recommendations
Centers for Disease Control and
Prevention (CDC), Department of Health
and Human Services (HHS).
ACTION: Notice with comment period.
AGENCY:
The Centers for Disease
Control and Prevention (CDC), as part of
its continuing effort to reduce public
burden and maximize the utility of
government information, invites the
general public and other Federal
agencies the opportunity to comment on
a proposed information collection, as
required by the Paperwork Reduction
Act of 1995. This notice invites
comment on a proposed information
collection project titled Direct Reading
Methodologies, Sensors, and Robotics
Technology Assessment in Lab/
Simulator-based Settings. The proposed
data collection will allow NIOSH to
assess the safety and health
considerations of these rapidly changing
direct reading methods, sensor, and
robotics technologies.
DATES: CDC must receive written
comments on or before June 24, 2024.
ADDRESSES: You may submit comments,
identified by Docket No. CDC–2024–
0029 by either of the following methods:
• Federal eRulemaking Portal:
www.regulations.gov. Follow the
instructions for submitting comments.
• Mail: Jeffrey M. Zirger, Information
Collection Review Office, Centers for
Disease Control and Prevention, 1600
Clifton Road NE, MS H21–8, Atlanta,
Georgia 30329.
Instructions: All submissions received
must include the agency name and
Docket Number. CDC will post, without
change, all relevant comments to
www.regulations.gov.
Please note: Submit all comments
through the Federal eRulemaking portal
(www.regulations.gov) or by U.S. mail to
the address listed above.
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SUMMARY:
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To
request more information on the
proposed project or to obtain a copy of
the information collection plan and
instruments, contact Jeffrey M. Zirger,
Information Collection Review Office,
Centers for Disease Control and
Prevention, 1600 Clifton Road NE, MS
H21–8, Atlanta, Georgia 30329;
Telephone: 404–639–7570; Email: omb@
cdc.gov.
SUPPLEMENTARY INFORMATION: Under the
Paperwork Reduction Act of 1995 (PRA)
(44 U.S.C. 3501–3520), Federal agencies
must obtain approval from the Office of
Management and Budget (OMB) for each
collection of information they conduct
or sponsor. In addition, the PRA also
requires Federal agencies to provide a
60-day notice in the Federal Register
concerning each proposed collection of
information, including each new
proposed collection, each proposed
extension of existing collection of
information, and each reinstatement of
previously approved information
collection before submitting the
collection to the OMB for approval. To
comply with this requirement, we are
publishing this notice of a proposed
data collection as described below.
The OMB is particularly interested in
comments that will help:
1. 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;
2. Evaluate the accuracy of the
agency’s estimate of the burden of the
proposed collection of information,
including the validity of the
methodology and assumptions used;
3. Enhance the quality, utility, and
clarity of the information to be
collected;
4. 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 submissions
of responses; and
5. Assess information collection costs.
FOR FURTHER INFORMATION CONTACT:
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
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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
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
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Federal Register / Vol. 89, No. 79 / Tuesday, April 23, 2024 / Notices
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
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 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
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. Recruitment for
laboratory studies includes individuals
from the general working population
that represent high-hazard industries
(e.g., construction, manufacturing).
These individuals are also all adults
between the ages of 18 and 65 years.
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.
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
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ESTIMATED ANNUALIZED BURDEN HOURS
Number of
respondents
Number of
responses per
respondent
Average
burden per
response
(in hours)
Total burden
(in hours)
Type of respondents
Form name
Members of the general
public who represent a
variety of industrial
sectors 1.
Informed Consent ................................................
4,000
1
5/60
334
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.
4,000
2
15/60
2,000
4,000
1
15/60
1,000
4,000
1
15/60
1,000
4,000
2
15/60
2,000
4,000
12
5/60
4,000
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ESTIMATED ANNUALIZED BURDEN HOURS—Continued
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Type of respondents
Number of
respondents
Form name
Number of
responses per
respondent
Total burden
(in hours)
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 near-infrared 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
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).
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-off-task time and recognition in
response to simulated environments designed
to assess integration of new robotic technologies and design set-up.
4,000
4
60/60
16,000
3,000
12
5/60
3,000
3,000
6
30/60
9,000
2,000
12
15/60
6,000
4,000
6
10/60
4,000
4,000
6
10/60
4,000
2,000
4
30/60
4,000
2,000
12
15/60
6,000
2,000
12
15/60
6,000
..............................................................................
........................
........................
........................
68,334
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. 2024–08596 Filed 4–22–24; 8:45 am]
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| File Type | application/pdf |
| File Modified | 2024-04-23 |
| File Created | 2024-04-23 |