[Federal Register Volume 76, Number 75 (Tuesday, April 19, 2011)]
[Notices]
[Pages 21906-21907]
From the Federal Register Online via the Government Publishing Office [www.gpo.gov]
[FR Doc No: 2011-9419]
-----------------------------------------------------------------------
DEPARTMENT OF HEALTH AND HUMAN SERVICES
Centers for Disease Control and Prevention
[60-Day-11-11EF]
Proposed Data Collections Submitted for Public Comment and
Recommendations
In compliance with the requirement of Section 3506(c)(2)(A) of the
Paperwork Reduction Act of 1995 for opportunity for public comment on
proposed data collection projects, the Centers for Disease Control and
Prevention (CDC) will publish periodic summaries of proposed projects.
To request more information on the proposed projects or to obtain a
copy of the data collection plans and instruments, call 404-639-5960
and send comments to Daniel Holcomb, CDC Reports Clearance Officer,
1600 Clifton Road, MS-D74, Atlanta, GA 30333 or send an e-mail to
[email protected].
Comments are invited on: (a) Whether the proposed collection of
information is necessary for the proper performance of the functions of
the agency, including whether the information shall have practical
utility; (b) the accuracy of the agency's estimate of the burden of the
proposed collection of information; (c) ways to enhance the quality,
utility, and clarity of the information to be collected; and (d) ways
to minimize the
[[Page 21907]]
burden of the collection of information on respondents, including
through the use of automated collection techniques or other forms of
information technology. Written comments should be received within 60
days of this notice.
Proposed Project
Dynamic Decision Making in Mine Emergency Situations--Existing
Collection in use without an OMB control number--National Institute for
Occupational Safety and Health (NIOSH), Centers for Disease Control and
Prevention (CDC).
Background and Brief Description
Mining is a context filled with tragic outcomes, as thousands of
miners die in mining accidents each year throughout the world. In the
process of examining workers' responses in emergency situations in
mines, researchers at the NIOSH-Pittsburgh Research Laboratory (PRL)
have found that one of the key human behavior processes that need to be
better understood to better handle emergency situations is Decision
Making (Vaught, Brnich, & Mallett, 2004). Decision Making, the process
by which alternatives are constructed and a choice is made, continues
to be one of the critically understudied aspects of mine emergencies.
For example, The Mine Safety Technology and Training (MSTT) Commission
suggests that escape/rescue decision-making is one of the most critical
skill/knowledge gaps identified in mining (MSTTC, 2006). Their report
strongly supports the need for additional training in decision-making
during emergency situations to improve the ability of miners to escape
(or be rescued).
The research proposed here will help address this gap by
integrating the theoretical knowledge of human decision making in
dynamic situations with the practical aspects of training miners. The
research will result in the improved science of decision making and
practical guidelines and tools that demonstrate how to best train
decision making in the unique conditions of accidents when under
workload, uncertainty, and time constraints.
A simple Decision Making Game (DMGame) will be used in a laboratory
study to investigate choice strategies based on the dynamic development
of cues. Through a contract with the Centers for Disease Control and
Prevention (Contract 200-2009-31403), the Dynamic Decision
Making Laboratory at Carnegie Mellon University will investigate
several independent variables relevant to Instance-Based Learning
Theory, including: The diversity of instances, the number of instances
(base rates) needed to improve accuracy in the triage process, and the
effects of time constraints and workload on the effectiveness of
triage. The manipulation of these independent variables will reveal
training scenarios and conditions that are more effective during
learning and at transfer. Knowledge acquired during training will be
tested in transfer conditions. The transfer conditions will vary
depending on the participants used in the experiment. New guidelines
for training for unexpected situations will be developed from the
results of the laboratory experiment. The results and guidelines will
be published in journal research papers and presented in international
conferences and meeting.
The Dynamic Decision Making Laboratory conducted this research with
a total of 28 students from Carnegie Mellon University and the
University of Pittsburgh between January 2010 and December 2010.
Participants were recruited through an online research participant pool
from Carnegie Mellon University and the University of Pittsburgh to
participate in a simple DMGame, called the ``Work Hazard Game.''
Participants were asked to read and sign a consent form. After signing
the form, participants were provided with instructions on how to play
the game. They then completed the Work Hazard Game. Overall,
participation lasted about 30 minutes. The game recorded participants'
actions and the data was transferred to statistical software (i.e.,
SPSS) for analysis. Participants were not asked to identify which
school they were affiliated with. There were no costs to respondents
other than their time.
Estimated Annualized Burden Hours
----------------------------------------------------------------------------------------------------------------
Number of Average burden
Respondents/form name Number of responses per response (in Total burden (in
respondents respondent hours) hours)
----------------------------------------------------------------------------------------------------------------
Student............................. 28 1 30/60 14
---------------------------------------------------------------------------
Total........................... ................. ................. ................. 14
----------------------------------------------------------------------------------------------------------------
Daniel Holcomb,
Reports Clearance Officer, Centers for Disease Control and Prevention.
[FR Doc. 2011-9419 Filed 4-18-11; 8:45 am]
BILLING CODE 4163-18-P