[ACT-R-users] CogModeling notes: ICCM07/CogSci07/HFES/Soar/IJNN/Books/Position
ritter
ritter at acs.ist.psu.edu
Tue Jun 26 00:37:57 EDT 2007
[Please forward as/what is appropriate, such as to students' mailing
lists, and for calanders of events. ]
This is based on the International Cognitive Modeling Conference
mailing list, which I maintain. I forward messages about twice a
year, more around the ICCM conference.
The first two announcements are the ones that are driving this
email, the announcement of the tutorials program at ICCM 2007 and
the ICCM program.
cheers,
Frank Ritter (frank.ritter at psu.edu, http://acs.ist.psu.edu)
1. Tutorials program, 2007 Int. Conference on Cognitive Modeling (ICCM)
26 July 2007, in Ann Arbor, MI
http://acs.ist.psu.edu/iccm2007/tutorials.html
2. ICCM 2007 Conference Program
27-29 July 2007, in Ann Arbor, MI.
http://sitemaker.umich.edu/iccm2007.org/program
3. CogSci 2007 Tutorials program, 1 Aug 07
http://csep.psyc.memphis.edu/cogsci07/tutorials.htm
4. Human Performance Modeling activities at HFES, 1-4 Oct 2007
http://www.hfes.org/web/HFESMeetings/07annualmeeting.html
5. Soar May 2007 Workshop Proceedings
http://www.eecs.umich.edu/~soar/sitemaker/workshop/27/
6. 2007 International Joint Conference on Neural Networks
August 12-17, 2007
http://www.ijcnn2007.org
7. Book: Integrated Models of Cognitive Systems book,
Gray (ed.), 2007
http://www.rpi.edu/~grayw/pubs/papers/2007/Gray-IMoCS/Gray-IMoCS.htm
8. Book: In order to learn: How the sequence of topics influence learning
Ritter, Nerb, Lehtinen, & O'Shea (eds.) (June, 2007)
http://acs.ist.psu.edu/papers/ritterNLOS07.html
9. Book: How can the human mind occur in the physical universe?
Anderson. (July 2007).
http://act-r.psy.cmu.edu/publications/pubinfo.php?id=680
10. Post-Doctoral Research Associate/Research Engineer
https://jobs.ncsu.edu/ . (Click on "Search Vacancies".
Enter position number "04-32-0707".)
***************************************************
1. Tutorials program, 2007 Int'l Conference on Cognitive Modeling
26 July 2007, Ann Arbor, Michigan
http://acs.ist.psu.edu/iccm2007/tutorials.html
The Tutorials program at ICCM 2007 will be held on Wed 26 July
2007 at the Rackham building at the University of Michigan. The
format of this year's program is modelled on previously
successful ICCM tutorials, and is similar to the series held at
the annual Cognitive Science Society Conferences.
Registration: Tutorials cost $60 for each half-day tutorial and
$40 for students. You are encouraged to register through the
conference site, or, if space is available, pay on the day.
Attendance at the tutorials does not require conference
registration; tutorial registration does not provide conference
entrance.
Advanced Tutorial on ACT-R 6.0
Anderson et al., Full-day (0915-1700)
An introduction to the COGENT Cognitive Modelling Environment
Cooper, Half-day (1345-1700)
Soar
Laird et al., Full-day (0915-1700)
Computational Cognitive Neuroscience Modeling Using Leabra In PDP++
Noelle , Full-day (0915-1700)
If you are having trouble getting a room, in addition the
conference web site, you might try Ann Arbor Area Convention
Bureau at 800 888 9487 or http://www.annarbor.org/
***************************************************
2. ICCM 2007 Conference Program
27-29 July 2007, in Ann Arbor, MI.
http://sitemaker.umich.edu/iccm2007.org/program
ICCM is the premier international conference for research on
computational models and computation-based theories of human
behavior. ICCM is a forum for presenting, discussing, and
evaluating the complete spectrum of cognitive models, including
connectionism, symbolic modeling, dynamical systems, Bayesian
modeling, and cognitive architectures. ICCM includes basic and
applied research, across a wide variety of domains, ranging from
low-level perception and attention to higher-level
problem-solving and learning.
***************************************************
3. CogSci 2007 Tutorials program
http://csep.psyc.memphis.edu/cogsci07/tutorials.htm
Tutorial presenters and attendees are required to register for
their tutorial through the on-line conference registration system
(available beginning in April, 2007), but there is no additional
fee for the tutorial. Tutorial attendance is FREE of charge!
Space is limited, so admittance into the tutorials will be on a
first come, first served basis.
The tutorial program will be held on Wednesday, August 1,
2007. The full-day tutorial sessions will run from 8:30AM to
5:00PM, with a break for lunch at noon. The half-day tutorial
will run from 1:30 to 5:00.
Tutorial 1 (Full-day): Comp. Cog. Neuroscience Modeling
Using Leabra In PDP++
David C. Noelle
Tutorial 2 (Full-day): Quantum Information Processing Theory
Jerome R. Busemeyer and Zheng Wang
Tutorial 3 (Full-day): Soar
John Laird
Tutorial 4 (Half-day): ACT-R
Niels Taatgen and Hedderik van Rijn
***************************************************
4. Human Performance Modeling activities at HFES Conference
1-4 Oct 07
http://www.hfes.org/web/HFESMeetings/07annualmeeting.html
To: <hfes-hpmTG at hfes.org>
From: "Dario Salvucci" <salvucci at cs.drexel.edu>
Date: Wed, 13 Jun 2007 11:04:13 -0400
Subject: [HFES-HPMTG]HPM-TG program at HFES'07
Dear HPM-TG members,
We are very pleased to announce our TG's program for the HFES
2007 annual meeting in Baltimore. The HPM program includes
several exciting sessions that span the many diverse areas
covered by our TG. The titles, authors, and abstracts are listed
below.
We would also like to take another opportunity to thank all the
reviewers that volunteered to evaluate submissions this year.
Your efforts have enabled us to put together an excellent
program, and we very much appreciate your help!
See you in Baltimore!
Dario Salvucci
HPM-TG Program Chair
--------------------------------------------------------------------------
MODELING HUMAN PERFORMANCE IN THE ENVIRONMENTAL CONTEXT
Tuesday, October 2, 2007
** Modeling Human Performance with Environmental Stressors: A
Case Study of the Effect of Vehicle Motion
Wojciechowski, Josephine: US Army Research Laboratory
Human performance modeling tools are used to predict mission
performance as a function of human performance. The U.S. Army
Research Laboratory has developed a human performance modeling
tool, the Improved Performance Research Integration Tool
(IMPRINT), for investigation of the impact on a Soldierís
performance when the Soldier subjected to environmental stressors
such as heat and cold.
IMPRINT has the capability to create user-defined stressors to
study the stressorsí effect on human performance and therefore
system performance. This case study used data from literature to
create a user-defined stressor in IMPRINT to predict the effect
of riding in a moving vehicle on task time and performance. This
capability can provide useful information to system designers.
** Modeling the Effects of Behavior Moderators for
Simulation-Based Human Factors Design
Neal Reilly, W.: Charles River Analytics
Bachman, John: Charles River Analytics
Harper, Karen: Charles River Analytics
Marotta, Stephen: Charles River Analytics
Pfautz, Jonathan: Charles River Analytics
Designing systems, interfaces, procedures and artifacts in
simulated environments before they are developed and deployed has
the potential to greatly decrease the costs of design and
development and, in some cases, can provide significant safety
advantages. Creating realistic models of humans is an important
aspect of the modeling problem, but existing models tend to model
typical humans and fail to account for the significant
differences seen from person to person or even by the same person
in different circumstances. In the model-ing literature, models
of the factors that lead to such differences (including
personality, affect, training, etc.) are typically called
behavior moderators or performance moderators. This paper
describes the MINDS (Modeling INdividual Differences and
Stressors) project, which builds on previous work in behavior
mod-erator modeling by supporting richer representations of
moderators, moderator dynamics, and moderator interactions and by
providing moderator-integration approaches for common
behavior-modeling technolo-gies, including production rules,
fuzzy logic, and Bayesian networks. We provide a demonstration
scenario from a military-operation domain.
** The "Etiquette Engine": A Computational Model of Social
Interaction Politeness
Miller, Christopher: Smart Information Flow Technologies
Wu, Peggy: Smart Information Flow Technologies
Recent work by ourselves and others supports the claim that the
ìetiquetteî which a computer or decision aid exhibits in its
interactions with human users can have significant effects on
overall performance. To date, however, much work in this area
has used loose and intuitive notions of what constitutes
ìetiquetteî. We have developed and provided initial testing of a
computational model of a significant aspect of eti-quetteóthe
perceived ìpolitenessî needed and/or used. We are using a rich,
universal theory of human-human politeness behaviors and the
culture-specific interpretive frameworks for them. Our
computational implementation of this model links observable and
inferred aspects of power and familiarity relationships, the
degree of imposition of an act (all of which have implications
for roles and intents) and the actorís char-acter to produce
expectations about politeness behaviors. We see applicability of
this model to interactive avatar behavior generation and
adaptation through modular, cross-cultural etiquette libraries.
** Predicting Situation Awareness from Team Communications
Bolstad, Cheryl: SA Technologies
Foltz, Peter: Pearson Knowledge Technologies
Franzke, Marita: Pearson Knowledge Technologies
Cuevas, Haydee: SA Technologies
Rosenstein, Mark: Pearson Knowledge Technologies
Costello, Anthony: SA Technologies
Given the importance of Situation Awareness (SA) in military
operations, there is a critical need for a real-time, unobtrusive
tool that objectively and reliably measures warfightersí SA in
both training and operations. Just as the requirement for
improved access to SA measures has become vital, it is now
commonplace for military team communications to be mediated by
technology, hence easily captured and available for analysis. We
believe that team communications can be used to derive SA
measures. To address this issue, we are developing the Automated
Communications Analysis of Situation Awareness (ACASA)
system. ACASA combines the explanatory capacity of the SA
construct with the predictive and computational power of
TeamPrints, to assess team and shared SA as well as other
cognitive processes. TeamPrints is a system that combines
computational linguistics and machine learning techniques coupled
with Latent Semantic Analysis (LSA) to analyze team
communication.
In this paper, we present the findings from an exploratory
evaluation of how well TeamPrints predicts SA from the team
communications arising during a military training exercise.
** Modeling Situation Awareness Supported by Advanced Flight Deck
Displays
Wickens, Christopher: Alionscience: MA&D Operations
Sebok, Angela: Alionscience: MA&D Operations
bagnall, tim: alionscience: Ma&D operations
Kamienski, Jill: Alionscience: MA&D Operations
A two module computational model of situation awareness is
presented. One module, characterizing stage 1 (noticing) SA is
based on the SEEV model of selective attention in complex
environments, and consists of components of Salience (capturing
attention), Effort (inhibiting attention movement), Expectancy
(for events along a channel) and Value (of attending those
events). These are combined additively and accurately predict
visual scanning on the flight deck and in driving. The second
module characterizing stage 2 (understanding) SA, results from
the integration of noticed information, and its decay if
unattended. We describe briefly the application and validation of
the attention module to pilot scanning of the synthetic vision
system display suite, and in more detail, the application to
predicting differences in situation awareness supported by 3
formats of a wake vortex display, designed to alert pilots to
dangers in the flight path ahead
-----
THE NEXT GENERATION OF COGNITIVE MODELING TOOLS:
OPPORTUNITIES, CHALLENGES AND BASIC NEEDS
Panel Session
Thursday, October 4, 2007
Bernard, Michael: Sandia National Laboratories
Forsythe, J. Chris: Sandia National Laboratories
Allender, Laurel: Army Research Laboratory
Cohn, Joseph: Naval Research Laboratory
Radvansky, Gabriel: University of Notre Dame
Ritter, Frank: Pennsylvania State University
In the past twenty or so years the scientific community has made
impressive advancements in the modeling and simulation of general
human cognition. This progress has led to the beginnings of
wide-spread applications and use. In fact, we are now at a point
where the community can begin to make fairly accurate predictions
as to how this technology will be used in the next twentyñplus
years. Accordingly, the purpose of this panel is to engage the
community at large regarding the future needs and requirements
associated with building cognitive models for various scientific
and engineering endeavors. Specifically, this panel will discuss
and make recommendations with regard to the future functionality
of cognitive modeling that could be encompassed in
next-generation capabilities.
To do this, we will concentrate on four different domain areas.
These are: academic use of cognitive modeling, cognitive model
development, neuroscience-related issues, and practical
applications of cognitive modeling.
-----
EXPLORING COGNITIVE PERFORMANCE THROUGH MODELING
** Computational GOMSL Modeling towards Understanding Cognitive
Strategy in Dual-Task Performance with Automation
Kim, Sang-Hwan: North Carolina State University
Kaber, David: North Carolina State University
Perry, Carlene: North Carolina State University
The objective of this study was to assess the use of a
computational cognitive model for describing human performance
with an adaptively automated system, with and without advance
cueing of control mode transitions. A dual-task piloting
simulation was developed to collect human performance data under
auditory cueing or no cueing of automated or manual
control. GOMSL models for simulating user behavior were
constructed based on a theory of increased memory transactions at
mode transitions. The models were applied to the same task
simulation and scenarios performed by the humans. Comparison of
results on human and model output demonstrated the model to be
generally descriptive of performance; however, it was not
accurate in predicting timing of memory use in preparing for
manual control. Interestingly, the human data didn°Øt reveal
differences between cued and no cue trials. A refined GOMSL model
was developed by modifying assumptions on the timing and manner
of memory use, and considering human parallel processing in
dual-task performance. Results revealed the refined model to be
more plausible for representing behavior. Computational cognitive
modeling appears to be a viable approach to represent operator
performance in adaptive systems.
** A Queueing Network Model of Task Prioritization Using a
General Hierarchy of Prioritization Rules
Zhang, Guoxi: Purdue University
Feyen, Robert: University of Minnesota - Duluth
Earlier, Zhang and Feyen (2005) proposed a qualitative framework
for predicting how people working in a multitasking scenario
switch between concurrent tasks with dynamically changing
priorities. This paper describes a validation study of a
computational model derived from this framework. Utilizing a
general hierarchy of prioritization rules suggested by a
companion empirical study, a model of a multiple task scenario
built using a queueing network approach was compared to the
empirical results. On all metrics considered, no means were found
significantly different and the model replicated all but one of
54 task sequences demonstrated by human subjects. Comparisons to
similar models utilizing only single prioritization rules
revealed that the general hierarchy yielded substantially better
predictions.
** ACT-R Model of EEG Latency Data
Cassenti, Daniel: U.S. Army Research Laboratory
Anderson and Lebiereís (1998) modeling system ACT-R (Adaptive
Control of Thought ñ Rational) has been a leading contributor to
advances in cognitive science. Despite the modeling systemís
success there are areas in which it may be improved. The present
research advocates a suggested approach to improving ACT-Rís
predictive capacity by using EEG (electroencephalography) latency
data to predict the time it takes to achieve certain mental
steps. A model is presented which successfully represents EEG
data from a simple auditory experiment. Implications of this
modeling approach to ACT-R and to the field of cognitive science
are discussed.
** Stress, Fatigue and Workload: Determining the Combined Affect
on Human Performance
Mock, Jessica: UCF/NASA
Objective: To determine how stress, fatigue and workload when
combined affect human performance in control room operations.
Background: Past studies have been conducted on the individual
impact of stress, fatigue and workload on human performance,
however, no study has looked at the combined impact using both
objective and subjective measures. Methods: Twenty-five
individuals participated in the study. Each individual
participated in a simulation exercise donning a physiological
measurement device and completed a series of questionnaires pre
and post exercise. Results: Eleven factors were statistically
significant in describing stress, fatigue or workload.
Number of problems and effort was found to be statistically
significant for all three variables. Completion time, change in
heart rate, and blood pressure was significant for two of the
variables. A fuzzy mathematical model was developed using AHP
and regression. Observation data revealed no participants
experiencing high levels of stress, fatigue or workload thus
resulting in low or very low changes in human performance.
Validation of the model using simulated data did show the model
could predict with 90% accuracy change in human
performance. Conclusion: A fuzzy mathematical model can help
predict the change in human performance based on physiological
and subjective measures that can be collected in an occupational
environment non-intrusively. Application: Potential applications
of this research include the assessment of human performance
associated with console long duration operations in the military
and nuclear power industry.
** Evaluating Systematic Error Predictions in a Routine Procedural Task
Tsai, Jennifer: University of Illinois at Urbana-Champaign
Byrne, Michael: Rice University
Systematic errors in routine procedural tasks present an
important problem for psychologists who study interactions
between humans and technological systems. This paper details an
experiment designed to examine systematic error patterns and
evaluate error predictions made by a notable psychological theory
and industry-standard usability tools when performing multiple
routine procedural tasks on a single highly visual
interface. Participants completed three dynamic, computer-based
routine procedural tasks involving execution of multiple
steps. Differences were found in error frequencies at particular
steps between the three tasks, a result that is consistent with
predictions derived from Altmann and Trafton's (2002)
activation-based model of memory for goals, but contrary to those
of usability guidelines. Error patterns were reminiscent of
several familiar types of systematic error.
-----
POSTER SESSIONS
Evaluation of a Software Implementation of the Cognitive
Reliability and Error Analysis Method (CREAM)
Roger Serwy, Esa Rantanen
The Cognitive Reliability and Error Analysis Method (CREAM)
represents a second-generation approach to human reliability
analysis (HRA). The method, however, is very tedious to apply
manually and not yet in widespread us and therefore largely
untested. To allow for rapid and systematic evaluation of the
CREAM method, a software tool for its application was
developed. Results from several analyses undertaken to evaluate
the method and the tool are presented.
***************************************************
5. Soar May 2007 Workshop Proceedings
http://www.eecs.umich.edu/~soar/sitemaker/workshop/27/
The 27th Soar Workshop was held Monday, May 21 through Friday,
May 25, 2007, in Ann Arbor, MI, hosted by the Center for
Cognitive Architecture at the University of Michigan, and Soar
Technology, Inc.
Proceedings from the previous Soar workshops are available online:
http://sitemaker.umich.edu/soar/soar_workshops
***************************************************
6. 2007 International Joint Conference on Neural Networks
2007 International Joint Conference on Neural Networks
Orlando, Florida
August 12-17, 2007
See the program details at: http://www.ijcnn2007.org
We invite participation to the 2007 International Joint Conference
on Neural Networks (IJCNN 2007), sponsored by the International
Neural Network Society and co-sponsored by the IEEE Computational
Intelligence Society. It is the premier event in the field of neural
networks. It covers all topics in neural network theories and
applications.
IJCNN 2007 will feature plenary speakers, special sessions,
moderated panel discussions, pre-conference tutorials, post-
conference workshops, regular technical sessions, poster
sessions, and social functions.
For further information. see:
http://www.ijcnn2007.org
(click on "technical program", "plenary speakers", etc.)
General Chair:
Jennie Si
Arizona State University
Program Chair:
Ron Sun
Rensselaer Polytechnic Institute
***************************************************
7. Integrated Models of Cognitive Systems book, Gray (ed.)
The first book in the Oxford Series on Cognitive Models and
Architectures is now published:
Gray, W. D.(Ed.) (2007). Integrated models of cognitive systems. New York:
Oxford University Press.
ISBN13: 9780195189193
http://www.rpi.edu/~grayw/pubs/papers/2007/Gray-IMoCS/Gray-IMoCS.htm
http://www.oup.com/us/catalog/general/subject/Psychology/Cognitive/?view=usa&ci=9780195189193
Integrated Models of Cognitive Systems
[FROM THE EDITOR'S PREFACE] It is with pleasure that I introduce
researchers, teachers, and students to this volume on Integrated
Models of Cognitive Systems. All such volumes present a snapshot
of the time in which they are created; it is the intent of the
contributors that this snapshot will grace a postcard to the
future. The history of cognitive studies is a history of trying
to understand the mind by slicing and dicing it into functional
components and trying to thoroughly understand each
component. Throughout time the size of the components has gotten
smaller and their shape has varied considerably with the result
that what was a whole, the human mind, has now become a jigsaw
puzzle of oddly shaped parts. The emphasis on cognitive systems
is an emphasis on how these pieces fit together to achieve
"complete processing models" (Newell, 1973) or "activity
producing subsystems" (Brooks, 1991). An emphasis on integrated
models is an emphasis that recognizes that the cognitive system
is too large and complex for a single researcher or laboratory to
model and that progress can only be made by developing our
various parts so that they can fit together with the parts
developed by other researchers in other laboratories. As Editor
it is my duty and pleasure to write a preface to this volume. I
view my task as providing a succinct summary of how this volume
came to be, an equally succinct overview of the volume, and
thanks to the many people whose efforts contributed to its
production and to the success of the workshop on which the volume
is based. I will, however, avoid in this Preface a more detailed
discussion of integrated models of cognitive systems. That
discussion is provided by Chapter 1 of this volume and continues
throughout the collective work.
Check it out:
<http://www.oup.com/us/catalog/general/subject/Psychology/Cognitive/?view=usa&ci=9780195189193>From OUP: Integrated Models of Cognitive Systems
<http://www.amazon.com/Integrated-Cognitive-Systems-Advances-Architectures/dp/0195189191/ref=sr_1_9/103-5952041-8871060?ie=UTF8&s=books&qid=1178470471&sr=1-9>From Amazon: Integrated Models of Cognitive Systems
You can order this book at http://www.oup.com/us
a 20 % discount is available with the code 26070
***************************************************
8. Book: In order to learn: How the sequence of topics influence learning
Ritter, Nerb, Lehtinen, & O'Shea (eds.)
http://acs.ist.psu.edu/papers/ritterNLOS07.html
The order that material, for both facts and skills, is presented
or explored by a learner can strongly influence what is learned,
how fast performance increases, and sometimes, even that the
material is learned at all. In this book we argue that these
effects are more pervasive and important than they have
previously treated, and we are able to provide a preliminary
summary of what research tells us about how to order
instructional material. We explore some of the foundation topics
in this area of intersection of psychology, of machine learning,
artificial intelligence, and cognitive modeling, and of
instructional design. We include several case studies, and note
numerous questions that will lead to further research projects
and provide food for thought for professionals working in these
areas such as education.
You can order this book at http://www.oup.com/us
a 20 % discount is available with the code 26070
***************************************************
9. Book: How can the human mind occur in the physical universe?
Anderson. (July 2007).
http://act-r.psy.cmu.edu/publications/pubinfo.php?id=680 (models)
http://www.us.oup.com/us/catalog/general/subject/Psychology/Cognitive/?view=usa&ci=9780195324259
"The question for me is how can the human mind occur in the physical
universe. We now know that the world is governed by physics. We now
understand the way biology nestles comfortably within that. The issue
is how will the mind do that as well."--Allen Newell, December 4,
1991, Carnegie Mellon University
The argument John Anderson gives in this book was inspired by the
passage above, from the last lecture by one of the pioneers of
cognitive science. Newell describes what, for him, is the pivotal
question of scientific inquiry, and Anderson gives an answer that is
emerging from the study of brain and behavior.
Humans share the same basic cognitive architecture with all primates,
but they have evolved abilities to exercise abstract control over
cognition and process more complex relational patterns. The human
cognitive architecture consists of a set of largely independent
modules associated with different brain regions. In this book,
Anderson discusses in detail how these various modules can combine to
produce behaviors as varied as driving a car and solving an algebraic
equation, but focuses principally on two of the modules: the
declarative and procedural. The declarative module involves a memory
system that, moment by moment, attempts to give each person the most
appropriate possible window into his or her past. The procedural
module involves a central system that strives to develop a set of
productions that will enable the most adaptive response from any state
of the modules. Newell argued that the answer to his question must
take the form of a cognitive architecture, and Anderson organizes his
answer around the ACT-R architecture, but broadens it by bringing in
research from all areas of cognitive science, including how recent
work in brain imaging maps onto the cognitive architecture.
You can order this book at http://www.oup.com/us
a 20 % discount is available with the code 26070
***************************************************
10. Post-Doctoral Research Associate/Research Engineer
The Ergonomics Lab in the Edward P. Fitts Department of
Industrial & Systems Engineering at NC State University is
seeking a post-doctoral associate to join a highly productive
research team. The Ergonomics area of the department currently
includes three full-time research and teaching faculty
supervising masters and doctoral students. The Lab conducts
externally-sponsored and student research on both cognitive and
physical ergonomics topics (e.g., analysis of human-automation
interaction, human-machine interface design, biomechanical and
cognitive modeling, causality determination in human decision
making, human reliability assessment).
The Ergonomics Lab is in the process of expanding two directions
of research including: (1) human factors in design and evaluation
of assistive robotics and telemedicine systems, and (2) situation
awareness in dynamic control tasks and the use of in-vehicle
technologies and automated devices. The Lab currently has
research equipment to support these directions, including
prototype and commercial robots, control software systems,
virtual reality-based driving simulations and physical vehicle
interfaces. The successful candidate will work with the faculty
in expansion of these facilities and develop new proposals for
sponsored research on topics related to the thrust
directions. The Lab currently has funds to secure new
high-fidelity simulation facilities to define and evaluate
robot-health practitioner interaction paradigms in local and
telemedicine scenarios involving large-scale and rural health
facilities. The Lab also has funds for a new high-fidelity
driving simulator to develop a model of situation awareness in
driving and to predict driver performance under normal and hazard
conditions. With these new systems, the Lab will study human
performance in both domains towards developing system design
methodologies for effective patient service delivery with robotic
technology and to promote driving system safety and effective
vehicle automation design.
The requirements for this position include a PhD in
engineering/computer science with a concentration in human
factors, computational intelligence or cognitive science. A
research background in human performance/cognitive modeling,
situation awareness and workload analysis, and human factors
experimentation, including studies on human-robot interaction and
driving systems, is desired. The initial desired term of the
appointment is for 2 yrs. The position is renewable on yearly
basis, based on performance, up to 3 yrs.
For those wishing to apply for this position, please submit the
below documents on-line at: https://jobs.ncsu.edu/ . (Click on
"Search Vacancies". Enter position number "04-32-0707".)
(1) cover letter with objective for applying;
(2) curriculum vitae including separate lists of journal and
conference publications;
(3) statement of research interests and goals; and
(4) names and contact information for three professional
references.
Applications will be accepted through July 15, 2007 and will be
reviewed with the objective of filling the position by August 15,
2007.
North Carolina State University is an equal opportunity and
affirmative action employer. In addition, NC State University
welcomes all persons without regard to sexual
orientation. Individuals with disabilities desiring accommodation
in the application process should contact Debbie Allgood-Staton
at (919)-515-2362.
-30-
More information about the ACT-R-users
mailing list