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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".)
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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/
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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.
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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
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4. Human Performance Modeling activities at HFES Conference
1-4 Oct 07
http://www.hfes.org/web/HFESMeetings/07annualmeeting.html
To: <[log in to unmask]>
From: "Dario Salvucci" <[log in to unmask]>
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
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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
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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.
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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.
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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.
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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
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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
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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
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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
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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
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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.
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