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Full-Text Articles in Operations Research, Systems Engineering and Industrial Engineering

Ranking Importance Of Exoskeleton Design Aspects, Thomas M. Schnieders, Richard T. Stone Sep 2018

Ranking Importance Of Exoskeleton Design Aspects, Thomas M. Schnieders, Richard T. Stone

Industrial and Manufacturing Systems Engineering Conference Proceedings and Posters

The objective of this research project was to determine what a conglomerate of professionals consider as the most important metrics to consider when designing an exoskeleton for training. Over 400 researchers, engineers, and scientists were polled in a ranked order survey covering more than 50 different aspects in engineering design. These aspects were identified from a cogent literature review for consideration. While there are a slew of papers covering the results of exoskeleton designs as posture support mechanisms, rehabilitation mechanisms, tools to assist or replace body functions, and human performance augmentation, few cover what aspects were considered in the engineering ...


Board 106: Enhancing Critical Life-Cycle Decision Making In Complex Engineering Projects In The Context Of Engineering Economy Courses, K. Jo Min, John K. Jackman, Farshad Niayeshpour Jun 2018

Board 106: Enhancing Critical Life-Cycle Decision Making In Complex Engineering Projects In The Context Of Engineering Economy Courses, K. Jo Min, John K. Jackman, Farshad Niayeshpour

Industrial and Manufacturing Systems Engineering Conference Proceedings and Posters

Complex engineering projects (CEPs) such as electric transmission networks and transportation infrastructure are becoming increasingly important to the public in general and even more so to engineers. These projects are large-scale in terms of money and time and contain significant uncertainties over their life-cycle, with fluctuations in input and output costs. Due to these uncertainties, there are conditional opportunities (e.g., on prices) to make critical decisions such as investment in construction of power generation facilities or decommissioning of such facilities. Such decisions constitute strategic flexibilities or "real options" because the decision maker can alter the course of an investment ...


Optimizing Design For Resilience For Risk-Averse Firms Using Expected Utility And Value-At-Risk, Ramin Giahi, Cameron A. Mackenzie, Chao Hu May 2018

Optimizing Design For Resilience For Risk-Averse Firms Using Expected Utility And Value-At-Risk, Ramin Giahi, Cameron A. Mackenzie, Chao Hu

Industrial and Manufacturing Systems Engineering Conference Proceedings and Posters

Research Problem •Determine how resilience should be integrated into a firm’s design decisions •Optimize design for a risk-averse firm that incorporates resilience


Online Testing To Assess Performance Of Students In A Large Engineering Class, Vrishtee Rane, Cameron A. Mackenzie May 2018

Online Testing To Assess Performance Of Students In A Large Engineering Class, Vrishtee Rane, Cameron A. Mackenzie

Industrial and Manufacturing Systems Engineering Conference Proceedings and Posters

Fall 2017: Engineering Economic Analysis course •242 students: in-class and distance learning •New assessment procedure: Online testing modules •7 required online testing modules •2 bonus testing modules to earn an A •Semester grades determined completely by number of modules passed •Unlimited number of attempts for each testing module •Randomly chosen questions


Modeling Uncertainty In Rooftop Pv Investment, Anuj Mittal, Cameron A. Mackenzie, Caroline C. Krejci, Taylor B. Elkins May 2018

Modeling Uncertainty In Rooftop Pv Investment, Anuj Mittal, Cameron A. Mackenzie, Caroline C. Krejci, Taylor B. Elkins

Industrial and Manufacturing Systems Engineering Conference Proceedings and Posters

No abstract provided.


Supply Chain Risk Analysis Using Dynamic Fault Tree, Xue Lei, Cameron A. Mackenzie May 2018

Supply Chain Risk Analysis Using Dynamic Fault Tree, Xue Lei, Cameron A. Mackenzie

Industrial and Manufacturing Systems Engineering Conference Proceedings and Posters

Outline: 1. Motivations 2. Main-backup supply chain 3. Mutual-assistance supply chain 4. Conclusions


Decision Making For Different Types Of Variation In A Manufacturing System, Xue Lei, Cameron A. Mackenzie, Caroline Krejci May 2018

Decision Making For Different Types Of Variation In A Manufacturing System, Xue Lei, Cameron A. Mackenzie, Caroline Krejci

Industrial and Manufacturing Systems Engineering Conference Proceedings and Posters

Common cause variation: Natural part of the process; Acting on process.

Special cause variation: From external sources; searching and mitigating causes.


Design Optimization Under Long-Range Uncertainty, Ramin Giahi, Cameron A. Mackenzie, Chao Hu May 2018

Design Optimization Under Long-Range Uncertainty, Ramin Giahi, Cameron A. Mackenzie, Chao Hu

Industrial and Manufacturing Systems Engineering Conference Proceedings and Posters

Flexibility in engineering system design: •Flexibility in system design and implications for aerospace systems (Saleh et.al 2003) •A flexible and robust approach for preliminary engineering design based on designer's preference (Nahmet.al, 2007) •A real options approach to hybrid electric vehicle architecture design for flexibility (Kang et.al 2016) •Our research: •Simulation optimization •Long range uncertainty •Add flexibility and robustness to design


Solid-State Processing Approach To Enhance The Mechanical Properties Of Polypropylene, Sharon Lau, Srikanthan Ramesh, Iris V. Rivero, Lashanda Korley May 2018

Solid-State Processing Approach To Enhance The Mechanical Properties Of Polypropylene, Sharon Lau, Srikanthan Ramesh, Iris V. Rivero, Lashanda Korley

Industrial and Manufacturing Systems Engineering Conference Proceedings and Posters

Agenda: Background; Research Problem; Methodology; Results and Discussion; Conclusions.


Application Of Bayesian Belief Network For Agile Kanban Backlog Estimation, Eric D. Weflen, Kevin Korniejczuk, Sharon Lau, Steven S. Kryk, Cameron A. Mackenzie, Iris V. Rivero Jan 2018

Application Of Bayesian Belief Network For Agile Kanban Backlog Estimation, Eric D. Weflen, Kevin Korniejczuk, Sharon Lau, Steven S. Kryk, Cameron A. Mackenzie, Iris V. Rivero

Industrial and Manufacturing Systems Engineering Conference Proceedings and Posters

What is Agile Kanban?

  • Different from Kanban for JIT manufacturing!
  • Visualization of workflow
  • Limit work in process (WIP)


Application Of Bayesian Belief Network For Agile Kanban Backlog Estimation, Eric Weflen, Kevin Korniejczuk, Sharon Lau, Steven Kryk, Cameron A. Mackenzie, Iris V. Rivero Jan 2018

Application Of Bayesian Belief Network For Agile Kanban Backlog Estimation, Eric Weflen, Kevin Korniejczuk, Sharon Lau, Steven Kryk, Cameron A. Mackenzie, Iris V. Rivero

Industrial and Manufacturing Systems Engineering Conference Proceedings and Posters

This paper presents an approach based on influence diagrams for reducing uncertainty in Agile Kanban backlog feature completion time. Agile project management techniques, including SCRUM and Kanban, are prevalent in software development and spreading to other product development fields. A key artifact of Agile is the product backlog, containing work which needs to be completed by the development team. Internal and external stakeholders often require projections for completion of backlogged requests or features. Current estimation techniques such as duration assignments through planning poker and the use of story points to calculate velocity require persistent team input, while task counting has ...


A Solid-State Processing Approach To Enhance The Mechanical Performance Of Polyolefins, Sharon Lau, Srikanthan Ramesh, Iris V. Rivero, Lashanda Korley Jan 2018

A Solid-State Processing Approach To Enhance The Mechanical Performance Of Polyolefins, Sharon Lau, Srikanthan Ramesh, Iris V. Rivero, Lashanda Korley

Industrial and Manufacturing Systems Engineering Conference Proceedings and Posters

This study aims to present and evaluate the use of solid-state processing for improving the mechanical properties of polyolefins. Isotactic polypropylene (i-PP) was selected to be studied due to its inferior mechanical properties in comparison to common plastics such as polyethylene (PET) and polyvinyl chloride (PVC). Recently, i-PP has garnered attention due to its attributes such as low-cost and recyclability. However, it requires additional processing to improve its mechanical performance. In this study, cryomilling was used to introduce various concentrations (0.2 - 1 wt. %) of diparamethyldibenzyldiene sorbitol (MDBS), as reinforcing agent, into the i-PP polymer. X-ray diffraction (XRD) and differential ...


Rheological, In Situ Printability And Cell Viability Analysis Of Hydrogels For Muscle Tissue Regeneration, Srikanthan Ramesh, Sam Gerdes, Sharon Lau, Azadeh Mostafavi, Zhenyu (James) Kong, Blake N. Johnson, Ali Tamayol, Prahalada Rao, Iris V. Rivero Jan 2018

Rheological, In Situ Printability And Cell Viability Analysis Of Hydrogels For Muscle Tissue Regeneration, Srikanthan Ramesh, Sam Gerdes, Sharon Lau, Azadeh Mostafavi, Zhenyu (James) Kong, Blake N. Johnson, Ali Tamayol, Prahalada Rao, Iris V. Rivero

Industrial and Manufacturing Systems Engineering Conference Proceedings and Posters

Advancements in additive manufacturing have made it possible to fabricate biologically relevant architectures from a wide variety of materials. Hydrogels have garnered increased attention for the fabrication of muscle tissue engineering constructs due to their resemblance to living tissue and ability to function as cell carriers. However, there is a lack of systematic approaches to screen bioinks based on their inherent properties, such as rheology, printability and cell viability. Furthermore, this study takes the critical first-step for connecting in-process sensor data with construct quality by studying the influence of printing parameters. Alginate-chitosan hydrogels were synthesized and subjected to a systematic ...


A Sustainable Additive Approach For The Achievement Of Tunable Porosity, Sharon Lau, Taylor Yeazel, Ana Miller, Nathan Pfister, Iris V. Rivero Jan 2018

A Sustainable Additive Approach For The Achievement Of Tunable Porosity, Sharon Lau, Taylor Yeazel, Ana Miller, Nathan Pfister, Iris V. Rivero

Industrial and Manufacturing Systems Engineering Conference Proceedings and Posters

This study aims to design a green additive approach for the fabrication of controlled porosity on hydrogels. Although hydrogels have been of common use in tissue engineering, the generation of controllable porosity remains an issue due to their swelling and degradation properties. Hydrogels in this study were fabricated by physical cross-linking and the porosity was generated by casting the solution in a 3D printed mold prior to physical cross-linking. This approach eliminates the use of chemical cross-linking compounds which are often toxic and not environmentally friendly. Polyvinyl alcohol was selected to validate this technique due to its biocompatibility and adequate ...


An Investigation On Selected Factors That Cause Variability In Additive Manufacturing, Anusha Velineni, Elif Elçin Günay, Kijung Park, Gül E. Okudan Kremer, Thomas M. Schnieders, Richard T. Stone Jan 2018

An Investigation On Selected Factors That Cause Variability In Additive Manufacturing, Anusha Velineni, Elif Elçin Günay, Kijung Park, Gül E. Okudan Kremer, Thomas M. Schnieders, Richard T. Stone

Industrial and Manufacturing Systems Engineering Conference Proceedings and Posters

Additive manufacturing (AM) brings significant freedom in design, yet it can get hard to produce the same part at identical dimensional tolerances; this is also known as the reproducibility problem. Reproducibility, the ability to produce the same part under similar conditions, is one of the major challenges in AM as reproducibility plays an important role in the replacement of worn-out or damaged parts in an assembly. The objective of this paper is to identify the impacts of two most common factors (i.e., layer thickness and printing speed) on the dimensional accuracy of additively manufactured parts through a designed experiment ...


Human-Robot Collaborated Exploration And Wayfinding: Orientation Awareness And Its Enhancement, Richard T. Stone, Peihan Zhong, Thomas M. Schnieders Sep 2017

Human-Robot Collaborated Exploration And Wayfinding: Orientation Awareness And Its Enhancement, Richard T. Stone, Peihan Zhong, Thomas M. Schnieders

Industrial and Manufacturing Systems Engineering Conference Proceedings and Posters

Orientation awareness, being aware of heading direction, current location, and an object’s location relative to current location are all critical for wayfinding. Obtaining and maintaining the orientation awareness is a challenging task and even more difficult in remote wayfinding where the wayfinder cannot physically be in the environment. This study designed an interface to enhance the orientation awareness under a remote wayfinding condition by providing a route map showing the previous path taken by the operator and evaluated its effectiveness. Sixteen participants were tested in this study with eight people in each group. The experimental group received the interface ...


Development Of Learning Modules For Sustainable Life Cycle Product Design: A Constructionist Approach, Md Tarique Hasan Khan, Kamyar Raoufi, Kijung Park, Tasnia Reza, Carolyn E. Psenka, Kathy Schmidt-Jackson, Karl R. Haapala, Gul E. Okudan-Kremer, Kyoung-Yun Kim Jun 2017

Development Of Learning Modules For Sustainable Life Cycle Product Design: A Constructionist Approach, Md Tarique Hasan Khan, Kamyar Raoufi, Kijung Park, Tasnia Reza, Carolyn E. Psenka, Kathy Schmidt-Jackson, Karl R. Haapala, Gul E. Okudan-Kremer, Kyoung-Yun Kim

Industrial and Manufacturing Systems Engineering Conference Proceedings and Posters

Constructionism is an approach to learning in which learners construct their own understanding and knowledge through making a meaningful product. A cyberlearning environment for sustainable life cycle engineering design has been developed based upon this approach through a multi-university research project funded by the NSF entitled “Constructionism in Learning: Sustainable Life Cycle Engineering (CooL:SLiCE).” The pedagogic significance of CooL:SLiCE is to better enable university students to learn about sustainable product life cycle engineering design by realizing effective learning modules for personalized environmentally-responsible product design. The CooL:SliCE platform has developed a web-based portal with three learning modules: 1 ...


Constructionism In Learning: Sustainable Life Cycle Engineering Project (Cool:Slice), Kyoung-Yun Kim, Carolyn E. Psenka, Karl R. Haapala, Kathy Schmidt-Jackson, Gul E. Okudan-Kremer Jun 2017

Constructionism In Learning: Sustainable Life Cycle Engineering Project (Cool:Slice), Kyoung-Yun Kim, Carolyn E. Psenka, Karl R. Haapala, Kathy Schmidt-Jackson, Gul E. Okudan-Kremer

Industrial and Manufacturing Systems Engineering Conference Proceedings and Posters

CooL:SLiCE, a distributed cyberlearning environment to facilitate consideration of engineering design impacts on the natural environment across product life cycles has been developed at XXX University, XXX University, and XXX University. CooL:SLiCE supports a constructionist line of inquiry within design practice by providing learners with technologies and other learning resources for experimentation and collaboration. By scaffolding these resources, CooL:SLiCE enables students to attain a deeper conceptual understanding of sustainable lifecycle product design.

This poster will feature the elements of the CooL:SLiCE platform, pilot projects, and learning studies. The platform modules include 1) the Online Computer Aided ...


Virtual Operator Models For Off-Highway Machine Virtual Prototyping, Yu Du, Michael C. Dorneich, Brian L. Steward Jan 2017

Virtual Operator Models For Off-Highway Machine Virtual Prototyping, Yu Du, Michael C. Dorneich, Brian L. Steward

Industrial and Manufacturing Systems Engineering Conference Proceedings and Posters

Increasing demands on the world’s resources require the design of off-highway machines that provide greater functionality and productivity along with greater efficiency. Model-based or virtual design provides a means for achieving these design improvements with reduced time and costs. However, virtual design is often limited by the fidelity with which human operators are modeled. A greater understanding of how highly skilled operators obtain high machine performance and productivity can inform machine development and advance agricultural and construction machine automation technology. This research investigated how machine operator expertise, strategies, and decision-making can be integrated into operator models that simulate authentic ...


Risk-Averse Stochastic Integer Programs For Mixed-Model Assembly Line Sequencing Problems, Ge Guo, Sarah M. Ryan Jan 2017

Risk-Averse Stochastic Integer Programs For Mixed-Model Assembly Line Sequencing Problems, Ge Guo, Sarah M. Ryan

Industrial and Manufacturing Systems Engineering Conference Proceedings and Posters

A variety of optimization formulations have been proposed for mixed-model assembly sequencing problems with stochastic demand and task times. In the real world, however, mixed-model assembly lines are faced with more challenging uncertainties including timely part delivery, material quality, upstream sub-assembly completion and availability of other resources. In addition, sub-assembly lines must meet deadlines imposed by downstream stations. The inevitable disruptions require resequencing. We present a risk-averse stochastic mixed-integer model for mixed-model assembly line resequencing problems to increase on-time performance.


Enabling Non-Expert Sustainable Manufacturing Process And Supply Chain Analysis During The Early Product Design Phase, Kamyar Raoufi, Karl R. Haapala, Kathy L. Jackson, Kyoung-Yun Kim, Gul E. Okudan-Kremer, Carolyn E. Psenka Jan 2017

Enabling Non-Expert Sustainable Manufacturing Process And Supply Chain Analysis During The Early Product Design Phase, Kamyar Raoufi, Karl R. Haapala, Kathy L. Jackson, Kyoung-Yun Kim, Gul E. Okudan-Kremer, Carolyn E. Psenka

Industrial and Manufacturing Systems Engineering Conference Proceedings and Posters

Consumers are pressuring companies to produce products with superior sustainability performance, yet educators are disadvantaged in training students about sustainable engineering and many engineers are often not well-positioned to perform product sustainability assessments. In particular, quantifying environmental impacts is a key aspect of achieving improved product sustainability performance that has garnered much attention over the past two decades, but tools remain deficient to assist manufacturing decision making. In light of efforts undertaken to develop sustainability assessment methodologies, we review recent developments in quantifying a widely adopted environmental performance metric, carbon footprint, in manufacturing processes and supply chain networks. We also ...


Improving The Efficiency Of Large Manufacturing Assembly Plants, David P. Sly, Michael Helwig, Guiping Hu Jan 2017

Improving The Efficiency Of Large Manufacturing Assembly Plants, David P. Sly, Michael Helwig, Guiping Hu

Industrial and Manufacturing Systems Engineering Conference Proceedings and Posters

Large manufacturing assembly plants with sub assembly lines, sequenced material deliveries, and batch driven primary manufacturing operations often struggle with coordinating their sequenced part manufacturing and kitting operations with the dynamic constraints of the main final assembly line. This paper will outline the high level data model, workflow and use-case scenarios of how the Factboard system integrates into the factory's engineering and transactional data sources as well as how users have been able to use this more accurate, detailed and timely information to make better decisions.


Critical Life-Cycle Decision Making For Projects Under Uncertainty, Kyung J. Min, John K. Jackman, Michelle Zugg Jun 2016

Critical Life-Cycle Decision Making For Projects Under Uncertainty, Kyung J. Min, John K. Jackman, Michelle Zugg

Industrial and Manufacturing Systems Engineering Conference Proceedings and Posters

In this paper, we first describe how critical life-cycle decisions are made for projects facing significant uncertainties. The key differentiating aspect of our approach from the traditional net present value approach is regarding the timing of such decisions. For example, our emphasis is on the effective dates for the commencement and expiration (i.e., a window of opportunity) for possible actions regarding a project, which is clearly above and beyond a single shot decision of investment or no investment. Our approach is based on elementary stochastic optimal control methods, which often afford closed-form solutions on critical timing information such as ...


Nestt: A Nonconvex Primal-Dual Splitting Method For Distributed And Stochastic Optimization, Davood Hajinezhad, Mingyi Hong, Tuo Zhao, Zhaoran Wang Jan 2016

Nestt: A Nonconvex Primal-Dual Splitting Method For Distributed And Stochastic Optimization, Davood Hajinezhad, Mingyi Hong, Tuo Zhao, Zhaoran Wang

Industrial and Manufacturing Systems Engineering Conference Proceedings and Posters

We study a stochastic and distributed algorithm for nonconvex problems whose objective consists a sum N/ nonconvex Li/N/ smooth functions, plus a nonsmooth regularizer. The proposed NonconvEx primal-dual SpliTTing (NESTT) algorithm splits the problem into N/ subproblems, and utilizes an augmented Lagrangian based primal-dual scheme to solve it in a distributed and stochastic manner. With a special non-uniform sampling, a version of NESTT achieves e-1 stationary solution using...gradient evaluations, which can be up to O(N)/ times better than the (proximal) gradient descent methods. It also achieves Q-linear convergence rate for nonconvex l1 penalized quadratic problems with polyhedral ...


An Improved Convergence Analysis Of Cyclic Block Coordinate Descent-Type Methods For Strongly Convex Minimization, Xingguo Li, Tuo Zhao, Raman Arora, Han Liu, Mingyi Hong Jan 2016

An Improved Convergence Analysis Of Cyclic Block Coordinate Descent-Type Methods For Strongly Convex Minimization, Xingguo Li, Tuo Zhao, Raman Arora, Han Liu, Mingyi Hong

Industrial and Manufacturing Systems Engineering Conference Proceedings and Posters

The cyclic block coordinate descent-type (CBCD-type) methods have shown remarkable computational performance for solving strongly convex minimization problems. Typical applications include many popular statistical machine learning methods such as elastic-net regression, ridge penalized logistic regression, and sparse additive regression. Existing optimization literature has shown that the CBCD-type methods attain iteration complexity of O(p · log(1/e)), where e is a pre-specified accuracy of the objective value, and p is the number of blocks. However, such iteration complexity explicitly depends on p, and therefore is at least p times worse than those of gradient descent methods. To bridge this theoretical ...


Evaluating The Value Of Dynamic Terrain Simulation On Training Quality, Stephen B. Gilbert, Nir Keren, Eliot H. Winer, Warren D. Franke, Kevin Godby, Anastacia Macallister, Chloe Mcpherson, Julio De La Cruz, Applied Research Associates Jan 2016

Evaluating The Value Of Dynamic Terrain Simulation On Training Quality, Stephen B. Gilbert, Nir Keren, Eliot H. Winer, Warren D. Franke, Kevin Godby, Anastacia Macallister, Chloe Mcpherson, Julio De La Cruz, Applied Research Associates

Industrial and Manufacturing Systems Engineering Conference Proceedings and Posters

Warfighters perform a variety of civilian duties, such as construction. For example, in Iraq, from 2004-2011, the US Army carried out over 5,000 construction projects. Training warfighters on heavy construction equipment is a timeconsuming task that contrasts with shrinking military budgets. Simulation-based training offers improved training for fewer resources. Simulators can decrease time to task proficiency by up to 90%.

Identifying the pertinent features needed for a construction equipment trainer is challenging. For example, a critical skill is identifying different soil types. Lifting too much soil can damage equipment while not taking enough can cause significant delays. An experimental ...


Quantized Consensus Admm For Multi-Agent Distributed Optimization, Shengyu Zhu, Mingyi Hong, Biao Chen Jan 2016

Quantized Consensus Admm For Multi-Agent Distributed Optimization, Shengyu Zhu, Mingyi Hong, Biao Chen

Industrial and Manufacturing Systems Engineering Conference Proceedings and Posters

Abstract: This paper considers multi-agent distributed optimization with quantized communication which is needed when inter-agent communications are subject to finite capacity and other practical constraints. To minimize the global objective formed by a sum of local convex functions, we develop a quantized distributed algorithm based on the alternating direction method of multipliers (ADMM). Under certain convexity assumptions, it is shown that the proposed algorithm converges to a consensus within log1+η Ω iterations, where η > 0 depends on the network topology and the local objectives, and O is a polynomial fraction depending on the quantization resolution, the distance between initial ...


A Hybrid Simulation Model Of Inbound Logistics Operations In Regional Food Supply Systems, Anuj Mittal, Caroline C. Krejci Dec 2015

A Hybrid Simulation Model Of Inbound Logistics Operations In Regional Food Supply Systems, Anuj Mittal, Caroline C. Krejci

Industrial and Manufacturing Systems Engineering Conference Proceedings and Posters

Regional food hubs aggregate, distribute, and market local food, with a goal of promoting environmental and social sustainability. They provide an alternative distribution channel through which small-scale producers can access wholesale markets. However, food hubs face many barriers to growth and success. In particular, they are often unable to achieve the logistical and operational efficiencies that characterize conventional large-scale food distribution. One possible method of improving food hub efficiency targets inbound logistics operations - specifically, the scheduling of producer deliveries to the food hub. In this paper, we describe a hybrid simulation model of the inbound logistics operations of a food ...


Characteristics Of A Multi-User Tutoring Architecture, Stephen B. Gilbert, Eliot H. Winer, Joseph Holub, Trevor Richardson, Michael C. Dorneich, Michael Hoffman Jun 2015

Characteristics Of A Multi-User Tutoring Architecture, Stephen B. Gilbert, Eliot H. Winer, Joseph Holub, Trevor Richardson, Michael C. Dorneich, Michael Hoffman

Industrial and Manufacturing Systems Engineering Conference Proceedings and Posters

Intelligent tutor systems have been quite successful in instruction of individuals (Koedinger, Anderson, Hadley, & Mark, 1997; Ritter, Kulikowich, Lei, McGuire, & Morgan, 2007; Vanlehn, et al., 2005), but multiple challenges exist when attempting to tutor a team. Sottilare, Holden, Brawner, and Goldberg (2011) describe some of the architectural challenges of team tutoring at a high level in terms of functional requirements. In this paper we describe specific challenges in terms of implementing a team architecture within the Generalized Intelligent Framework for Tutoring (GIFT), including simultaneous startup and synchronization with distributed team members, maintaining state of multiple users, and timing feedback for teams and individuals appropriately.


The Team Multiple Errands Test: A Platform To Evaluate Distributed Teams, Jamiahus Walton, Desmond Carletus Bonner, Kelsey Walker, Samantha Mater, Michael C. Dorneich, Stephen B. Gilbert, Robert West Mar 2015

The Team Multiple Errands Test: A Platform To Evaluate Distributed Teams, Jamiahus Walton, Desmond Carletus Bonner, Kelsey Walker, Samantha Mater, Michael C. Dorneich, Stephen B. Gilbert, Robert West

Industrial and Manufacturing Systems Engineering Conference Proceedings and Posters

Teams have the ability to achieve goals that are unobtainable by individuals alone. However, there is little agreement on a standard model for researching the performance of distributed teams. Initial pilot results suggest that the Multiple Errands Test (MET), when adapted to a team in a virtual environment, is a platform for evaluating the impact of feedback characteristics. To demonstrate the potential of the Team MET as a platform for future team research in the broader CSCW community, an example study is described in which team members are given feedback in one of four conditions: individual private, team private, individual ...