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

Transportation Safety Performance Of Us Bus Transit Agencies And Population Density: A Cross-Sectional Analysis (2008-2014), Ilker Karaca, Peter T. Savolainen Jan 2018

Transportation Safety Performance Of Us Bus Transit Agencies And Population Density: A Cross-Sectional Analysis (2008-2014), Ilker Karaca, Peter T. Savolainen

Finance Conference Papers, Posters, and Proceedings

The paper examines the transportation safety performance of transit agencies providing public bus service in the US by using data from the National Transit Database (NTD)

Uses NTD data for a seven-year period from 2008 to 2014 • 3,853 observations for 651 public transportation agencies in 50 states

Seven types of bus transit fatalities and injuries (including passengers, operators, pedestrians, bicyclists)

Main explanatory variable: urban density obtained from the US Census figures

Other explanatory variables: total agency revenue miles, unlinked passenger trips, agency fleet size, and urban population


A Design Framework For Additive Manufacturing Through The Synergistic Use Of Axiomatic Design Theory And Triz, Sarath C. Renjith, Gül E. Okudan Kremer, Kijung Park Jan 2018

A Design Framework For Additive Manufacturing Through The Synergistic Use Of Axiomatic Design Theory And Triz, Sarath C. Renjith, Gül E. Okudan Kremer, Kijung Park

Industrial and Manufacturing Systems Engineering Conference Proceedings and Posters

Additive manufacturing has emerged as an integral part of modern manufacturing because of its unique capabilities for rapid prototyping and the design flexibility. In order to take full advantage of additive manufacturing, Design for Additive Manufacturing (DfAM) has risen to provide design frameworks, methodologies, and a set of guidelines for effective product designs under additive manufacturing. However, the existing DfAM methods have limitations in that most methods rely on either too general or too specific design requirements and parameters for additive manufacturing; an effective design framework that can consider the capabilities and constraints of additive manufacturing at an early design ...


The Affordances Of Process-Tracing Technologies For Supporting L2 Writing Instruction, Jim R. Ranalli, Hui-Hsien Feng, Evgeny Chukharev-Khudilaynen Jan 2018

The Affordances Of Process-Tracing Technologies For Supporting L2 Writing Instruction, Jim R. Ranalli, Hui-Hsien Feng, Evgeny Chukharev-Khudilaynen

English Publications

The research literature on L2 writing processes contains a multitude of insights that could inform writing instruction, but writing teachers are constrained in their capacity to make use of these insights insofar as they lack detailed information about how their students’ actually engage in the processes of writing. At the same time, writing-process researchers have been using powerful technologies to trace writers’ process engagement—namely, keystroke-logging and eye-tracking—that are potentially applicable in educational settings. In this article, we describe a pilot effort to integrate these technologies into L2 writing instruction with college-level ESL students. In addition to illustrating three ...


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 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 ...


Determination Of Bus Station Locations Under Emission And Social Cost Constraints, Atousa Zarindast, Elif Elçin Günay, Kijung Park, Gül E. Okudan Kremer Jan 2018

Determination Of Bus Station Locations Under Emission And Social Cost Constraints, Atousa Zarindast, Elif Elçin Günay, Kijung Park, Gül E. Okudan Kremer

Industrial and Manufacturing Systems Engineering Conference Proceedings and Posters

This study proposes a two-stage stochastic programming model to determine an optimal set of bus stations that minimizes operational, environmental, and social costs under uncertain weather conditions and customer perceptions on sustainability. The first stage of the proposed model focuses on the derivation of a set of bus stations under uncertain demand and weather conditions. Then, the second stage determines an optimal vehicle capacity (i.e., bus size) to minimize the impact of vehicle shortages. In the proposed model, different customer perceptions on sustainability are conceptualized through a range of dissatisfaction levels. Weather conditions are considered as causing higher dissatisfaction ...


Moving Toward The Automation Of The Systematic Review Process: A Summary Of Discussions At The Second Meeting Of International Collaboration For The Automation Of Systematic Reviews (Icasr), Annette M. O'Connor, Guy Tsafnat, Stephen B. Gilbert, Kristina A. Thayer, Mary S. Wolfe Jan 2018

Moving Toward The Automation Of The Systematic Review Process: A Summary Of Discussions At The Second Meeting Of International Collaboration For The Automation Of Systematic Reviews (Icasr), Annette M. O'Connor, Guy Tsafnat, Stephen B. Gilbert, Kristina A. Thayer, Mary S. Wolfe

Veterinary Diagnostic and Production Animal Medicine Conference Proceedings and Presentations

The second meeting of the International Collaboration for Automation of Systematic Reviews (ICASR) was held 3–4 October 2016 in Philadelphia, Pennsylvania, USA. ICASR is an interdisciplinary group whose aim is to maximize the use of technology for conducting rapid, accurate, and efficient systematic reviews of scientific evidence. Having automated tools for systematic review should enable more transparent and timely review, maximizing the potential for identifying and translating research findings to practical application. The meeting brought together multiple stakeholder groups including users of summarized research, methodologists who explore production processes and systematic review quality, and technologists such as software developers ...


Three New Approaches To Genomic Selection, Lizhi Wang, Guodong Zhu, Will Johnson, Mriga Kher Jan 2018

Three New Approaches To Genomic Selection, Lizhi Wang, Guodong Zhu, Will Johnson, Mriga Kher

Industrial and Manufacturing Systems Engineering Publications

Conventional genomic selection approaches use breeding values to evaluate individual plants or animals and to make selection decisions. Multiple variants of breeding values and selection approaches have been proposed, but they suffer two major limitations. First, selection decisions are not responsive to changes in time and resource availability. Second, selection decisions are not coordinated with related decisions such as mating and resource allocation. We present three new genomic selection approaches that attempt to address these two limitations, which were designed by engineering students in a class project at Iowa State University. Compared with previous approaches using the same data set ...


Closed-Loop Supply Chain Network Design With Multiple Transportation Modes Under Stochastic Demand And Uncertain Carbon Tax, Ali Haddadsisakht, Sarah M. Ryan Jan 2018

Closed-Loop Supply Chain Network Design With Multiple Transportation Modes Under Stochastic Demand And Uncertain Carbon Tax, Ali Haddadsisakht, Sarah M. Ryan

Industrial and Manufacturing Systems Engineering Publications

We optimize the design of a closed-loop supply chain network that encompasses flows in both forward and reverse directions and is subject to uncertainty in demands for both new and returned products. The model also accommodates a carbon tax with tax rate uncertainty. The proposed model is a three-stage hybrid robust/stochastic program that combines probabilistic scenarios for the demands and return quantities with uncertainty sets for the carbon tax rates. The first stage decisions are facility investments, the second stage concerns the plan for distributing new and collecting returned products after realization of demands and returns, and the numbers ...


A Regional Information-Based Multi-Attribute And Multi-Objective Decision-Making Approach For Sustainable Supplier Selection And Order Allocation, Kijung Park, Gül E. Okudan Kremer, Junfeng Ma Jan 2018

A Regional Information-Based Multi-Attribute And Multi-Objective Decision-Making Approach For Sustainable Supplier Selection And Order Allocation, Kijung Park, Gül E. Okudan Kremer, Junfeng Ma

Industrial and Manufacturing Systems Engineering Publications

Although extant studies proposed various models and frameworks for sustainable supplier selection problems, they paid limited attention to the incorporation of regional economic, social, and environmental factors simultaneously for global supply chain design due to the difficulty in reflecting varies dimensions of the global business environment and their associated risk in a decision model. Existing supplier selection models also tend to focus on the formulation of a simplified supply chain structure rather than considering more realistic supply chain operations under multiple sourcing and product designs. To facilitate the complex decision-making process of global supplier selection problems, this study proposes an ...


Five Lenses On Team Tutor Challenges: A Multidisciplinary Approach, Stephen B. Gilbert, Michael Dorneich, Jamiahus Walton, Eliot Winer Jan 2018

Five Lenses On Team Tutor Challenges: A Multidisciplinary Approach, Stephen B. Gilbert, Michael Dorneich, Jamiahus Walton, Eliot Winer

Industrial and Manufacturing Systems Engineering Publications

This chapter describes five disciplinary domains of research or lenses that contribute to the design of a team tutor. We focus on four significant challenges in developing Intelligent Team Tutoring Systems (ITTSs), and explore how the five lenses can offer guidance for these challenges. The four challenges arise in the design of team member interactions, performance metrics and skill development, feedback, and tutor authoring. The five lenses or research domains that we apply to these four challenges are Tutor Engineering, Learning Sciences, Science of Teams, Data Analyst, and Human–Computer Interaction. This matrix of applications from each perspective offers a ...


3d Perception-Based Collision-Free Robotic Leaf Probing For Automated Indoor Plant Phenotyping, Yin Bao, Dylan Shah, Lie Tang Jan 2018

3d Perception-Based Collision-Free Robotic Leaf Probing For Automated Indoor Plant Phenotyping, Yin Bao, Dylan Shah, Lie Tang

Agricultural and Biosystems Engineering Publications

Various instrumentation devices for plant physiology study such as spectrometer, chlorophyll fluorimeter, and Raman spectroscopy sensor require accurate placement of their sensor probes toward the leaf surface to meet specific requirements of probe-to-target distance and orientation. In this work, a Kinect V2 sensor, a high-precision 2D laser profilometer, and a six-axis robotic manipulator were used to automate the leaf probing task. The relatively wide field of view and high resolution of Kinect V2 allowed rapid capture of the full 3D environment in front of the robot. The location and size of each plant were estimated by k-means clustering where “k ...


Challenges In Technology Adoption In Indian Public Distribution System: A Quality Management Approach, Varun Chhabra, Shweta Chopra, Prashant Rajan Jan 2018

Challenges In Technology Adoption In Indian Public Distribution System: A Quality Management Approach, Varun Chhabra, Shweta Chopra, Prashant Rajan

Agricultural and Biosystems Engineering Publications

Information and communication technologies are being used by various countries to provide faster and transparent services to their citizens through e-government initiatives. A large population in developing countries remain deprived of these services due to lack of skills, training and infrastructure. Local community intermediaries with necessary skills are employed to provide these services to beneficiaries. The purpose of this study was to identify and prioritise the challenges faced by intermediaries in adopting e-government technology. Quality management tools of list reduction, affinity diagram and Pareto chart were used for this purpose. Utilising quality management tools is an unconventional approach to problem ...


Design And Field Evaluation Of A Ground Robot For High-Throughput Phenotyping Of Energy Sorghum, Sierra N. Young, Erkan Kayacan, Joshua Peschel Jan 2018

Design And Field Evaluation Of A Ground Robot For High-Throughput Phenotyping Of Energy Sorghum, Sierra N. Young, Erkan Kayacan, Joshua Peschel

Agricultural and Biosystems Engineering Publications

This article describes the design and field evaluation of a low-cost, high-throughput phenotyping robot for energy sorghum for use in biofuel production. High-throughput phenotyping approaches have been used in isolated growth chambers or greenhouses, but there is a growing need for field-based, precision agriculture techniques to measure large quantities of plants at high spatial and temporal resolutions throughout a growing season. A low-cost, tracked mobile robot was developed to collect phenotypic data for individual plants and tested on two separate energy sorghum fields in Central Illinois during summer 2016. Stereo imaging techniques determined plant height, and a depth sensor measured ...


The Effect Of Locking Out Radial And Ulnar Deviation With An Upper Body Exoskeleton On Handgun Training, Thomas M. Schnieders, Richard T. Stone, Tyler Oviatt, Eric Danford-Klein Sep 2017

The Effect Of Locking Out Radial And Ulnar Deviation With An Upper Body Exoskeleton On Handgun Training, Thomas M. Schnieders, Richard T. Stone, Tyler Oviatt, Eric Danford-Klein

Industrial and Manufacturing Systems Engineering Conference Proceedings and Posters

This paper presents the first version of the ARCTiC LawE, short for the Armed Robotic Control for Training in Civilian Law Enforcement. The ARCTiC LawE is an upper body exoskeleton designed to assist in training civilians, military, and law enforcement personnel. The first iteration of this exoskeleton tests the effect of locking out radial and ulnar deviation for handgun training. The project trained and tested subjects with little to no handgun training/experience utilizing the ARCTiC LawE. An analysis of accuracy and precision was conducted with 24 participants. The experimental group scored statistically significantly higher than the control group at ...


The Effect Of Locking Out Wrist Flexion And Extension With An Upper Body Exoskeleton On Handgun Training, Thomas M. Schnieders, Richard T. Stone, Erik Danford-Klein, Tyler Oviatt Sep 2017

The Effect Of Locking Out Wrist Flexion And Extension With An Upper Body Exoskeleton On Handgun Training, Thomas M. Schnieders, Richard T. Stone, Erik Danford-Klein, Tyler Oviatt

Industrial and Manufacturing Systems Engineering Conference Proceedings and Posters

The second version of The Armed Robotic Control for Training in Civilian Law Enforcement, or ARCTiC LawE is presented in this paper. The ARCTiC LawE is an upper body exoskeleton designed to assist in training civilians, military, and law enforcement personnel. This second iteration tests the effect of locking out wrist flexion and extension for handgun training in addition to locking out the radial and ulnar deviation from the first version of The ARCTiC LawE. The experimental group scored significantly higher than the control group at 21 feet and 45 feet over a two-week period. The training occurred in week ...


Evaluation Of The Display Of Cognitive State Feedback To Drive Adaptive Task Sharing, Michael C. Dorneich, Břetislav Passinger, Christopher Hamblin, Claudia Keinrath, Jiři Vašek, Stephen D. Whitlow, Martijn Beekhuyzen Mar 2017

Evaluation Of The Display Of Cognitive State Feedback To Drive Adaptive Task Sharing, Michael C. Dorneich, Břetislav Passinger, Christopher Hamblin, Claudia Keinrath, Jiři Vašek, Stephen D. Whitlow, Martijn Beekhuyzen

Industrial and Manufacturing Systems Engineering Publications

This paper presents an adaptive system intended to address workload imbalances between pilots in future flight decks. Team performance can be maximized when task demands are balanced within crew capabilities and resources. Good communication skills enable teams to adapt to changes in workload, and include the balancing of workload between team members This work addresses human factors priorities in the aviation domain with the goal to develop concepts that balance operator workload, support future operator roles and responsibilities, and support new task requirements, while allowing operators to focus on the most safety critical tasks. A traditional closed-loop adaptive system includes ...


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 ...


Capacity Planning And Production Scheduling For Aircraft Painting Operations, Xiangzhen Li, Caroline Krejci, Cameron A. Mackenzie, John K. Jackman, Guiping Hu, Charles Y. Hu, Adam A. Graunke, Gabriel A. Bumett Jan 2017

Capacity Planning And Production Scheduling For Aircraft Painting Operations, Xiangzhen Li, Caroline Krejci, Cameron A. Mackenzie, John K. Jackman, Guiping Hu, Charles Y. Hu, Adam A. Graunke, Gabriel A. Bumett

Industrial and Manufacturing Systems Engineering Conference Proceedings and Posters

Long-term capacity planning and production scheduling present significant challenges for the aviation industry. Our research has integrated three different modeling methodologies to effectively forecast future demand for aircraft painting and then assess and manage the capacity that is needed to meet these requirements. First, an innovative forecasting approach was developed in which stochastic processes were used to model aircraft demand over a selected time interval. These demand forecasts were used as inputs to an integer programming model, which was used to find optimal monthly aircraft painting schedules. This approach supports for resource allocation that is based on optimal scheduling, rather ...


Likelihood Of Entanglement When Materials Are Dropped Vertically Onto A Rotating Pto Knuckle, Charles V. Schwab, Isaac J. Rempe Jan 2017

Likelihood Of Entanglement When Materials Are Dropped Vertically Onto A Rotating Pto Knuckle, Charles V. Schwab, Isaac J. Rempe

Agricultural and Biosystems Engineering Publications

Power take-off (PTO) is a common method of transferring power from a tractor to a towed piece of machinery. The PTO is also a well-documented cause of severe and often permanent disabling injuries to farm operators. The physical conditions that cause entanglements are not well established. Several studies have explored the parameters of PTO entanglements as materials have been drawn across a rotating PTO knuckle to test for entanglement probability. The objective of this study was to determine probability of entanglement when materials are dropped vertically onto a PTO knuckle spinning at 540 rpm. A total of 360 randomized trials ...


Analyzing Team Training Data: Aspirations For A Gift Data Analytics Engine, Stephen B. Gilbert, Anne M. Sinatra, Anastacia Macallister, Adam Kohl, Eliot Winer, Michael C. Dorneich, Anna Slavina, Desmond Bonner, Kaitlyn M. Ouverson Jan 2017

Analyzing Team Training Data: Aspirations For A Gift Data Analytics Engine, Stephen B. Gilbert, Anne M. Sinatra, Anastacia Macallister, Adam Kohl, Eliot Winer, Michael C. Dorneich, Anna Slavina, Desmond Bonner, Kaitlyn M. Ouverson

Industrial and Manufacturing Systems Engineering Conference Proceedings and Posters

No abstract provided.


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.


Automated Manufacturability Analysis For Conceptual Design In New Product Development, Michael Hoefer, Niechen Chen, Matthew C. Frank Jan 2017

Automated Manufacturability Analysis For Conceptual Design In New Product Development, Michael Hoefer, Niechen Chen, Matthew C. Frank

Industrial and Manufacturing Systems Engineering Conference Proceedings and Posters

This paper presents ANA, a software package that provides automated manufacturability feedback to product designers, enabling first time quality of design and avoiding later stage change requests. Manufacturing knowledge is critical to the design process. Decisions made early in the conceptual design phase can significantly affect downstream production cost. Manufacturing engineers may have a limited role in the design process which can lead to designs that are difficult to manufacture. ANA is the implementation of numerous feature-free geometric algorithms that determine manufacturability metrics related to machining, casting, die-casting, and welding processes. These metrics are accompanied by colored 3D graphical models ...


Automated Vehicle Recognition With Deep Convolutional Neural Networks, Yaw Okyere Adu-Gyamfi, Noblis, Inc., Anuj Sharma, Tienaah Titus Jan 2017

Automated Vehicle Recognition With Deep Convolutional Neural Networks, Yaw Okyere Adu-Gyamfi, Noblis, Inc., Anuj Sharma, Tienaah Titus

Civil, Construction and Environmental Engineering Publications

In recent years there has been growing interest in the use of nonintrusive systems such as radar and infrared systems for vehicle recognition. State-of-the-art nonintrusive systems can report up to eight classes of vehicle types. Video-based systems, which arguably are the most popular nonintrusive detection systems, can report only very coarse classification levels (up to four classes), even with the best-performing vision systems. The present study developed a vision system that can report finer vehicle classifications according to FHWA’s scheme and is also comparable to other nonintrusive recognition systems. The proposed system decoupled object recognition into two main tasks ...


Probabilistic Methods For Long-Term Demand Forecasting For Aviation Production Planning, Minxiang Zhang, Cameron A. Mackenzie, Caroline Krejci, John K. Jackman, Guiping Hu, Charles Y. Hu, Gabriel A. Burnett, Adam A. Graunke Jan 2017

Probabilistic Methods For Long-Term Demand Forecasting For Aviation Production Planning, Minxiang Zhang, Cameron A. Mackenzie, Caroline Krejci, John K. Jackman, Guiping Hu, Charles Y. Hu, Gabriel A. Burnett, Adam A. Graunke

Industrial and Manufacturing Systems Engineering Conference Proceedings and Posters

The aviation industry represents a complex system with low-volume high-value manufacturing, long lead times, large capital investments, and highly variable demand. Making important decisions with intensive capital investments requires accurate forecasting of future demand. However, this can be challenging because of significant variability in future scenarios. The use of probabilistic methods such as Brownian motion in forecasting has been well studied especially in the financial industry. Applying these probabilistic methods to forecast demand in the aerospace industry can be problematic because of the independence assumptions and no consideration of production system in these models. We used two forecasting models based ...


The Challenges Of Building Intelligent Tutoring Systems For Teams, Desmond Bonner, Stephen B. Gilbert, Michael C. Dorneich, Eliot Winer, Anne M. Sinatra, Anna Slavina, Anastacia Macallister, Joseph Holub Sep 2016

The Challenges Of Building Intelligent Tutoring Systems For Teams, Desmond Bonner, Stephen B. Gilbert, Michael C. Dorneich, Eliot Winer, Anne M. Sinatra, Anna Slavina, Anastacia Macallister, Joseph Holub

Industrial and Manufacturing Systems Engineering Conference Proceedings and Posters

Intelligent Tutoring Systems have been useful for individual instruction and training, but have not been widely created for teams, despite the widespread use of team training and learning in groups. This paper reviews two projects that developed team tutors: the Team Multiple Errands Task (TMET) and the Recon Task developed using the Generalized Intelligent Framework for Tutoring (GIFT). Specifically, this paper 1) analyzes why team tasks have significantly more complexity than an individual task, 2) describes the two team-based platforms for team research, and 3) explores the complexities of team tutor authoring. Results include a recommended process for authoring a ...


Homcam: A Wireless 360-Degree Wearable Streaming Camera For Remote Situational Awareness, Brian Peck, Stephen Gilbert, Eliot Winer, Robert Ray Sep 2016

Homcam: A Wireless 360-Degree Wearable Streaming Camera For Remote Situational Awareness, Brian Peck, Stephen Gilbert, Eliot Winer, Robert Ray

Industrial and Manufacturing Systems Engineering Conference Proceedings and Posters

The growth of mobile and wearable technologies has enabled a host of new applications, including remote situational awareness, in which a device worn by a remote partner can simulate being present in the remote location for an observer. We illustrate this idea by constructing the HomCam, a helmet-based omnidirectional video system that gives an observer the 360-degree perspective of a remote wearer. To our knowledge, the HomCam was the first wearable system that enabled real-time streaming of 360-degree video to a remote location built from commercial-of-the-shelf hardware. This paper describes related efforts, the HomCam prototype, its visual display, and an ...


The Impact Of Inspector’S Cognitive Style On Performance In Various Visual Inspection Display Tasks, Richard T. Stone, Thomas M. Schnieders, Chen-Shuang Wei, Tyler Oviatt Sep 2016

The Impact Of Inspector’S Cognitive Style On Performance In Various Visual Inspection Display Tasks, Richard T. Stone, Thomas M. Schnieders, Chen-Shuang Wei, Tyler Oviatt

Industrial and Manufacturing Systems Engineering Conference Proceedings and Posters

Three aspects of visual inspection were considered in this study. The three aspects considered to effect inspection performance are (1) cognitive styles, (2) feedforward training (job aid), and (3) pacing. In this study, the Matching Familiar Figures Test (MFFT) was administered and the basic (control), static (self- pacing), and hybrid (systematic pacing) displays were used to investigate the pacing effect. The objective was to classify the inspectors into different categories via the MFFT based on their cognitive styles, and also to investigate inspection performance (accuracy and response time) affected by the job aids as cognitive styles. The results indicate that ...


Politeness In Machine-Human And Human-Human Interaction, Joachim Meyer, Chris Miller, Peter Hancock, Ewart De Visser, Michael Dorneich Sep 2016

Politeness In Machine-Human And Human-Human Interaction, Joachim Meyer, Chris Miller, Peter Hancock, Ewart De Visser, Michael Dorneich

Industrial and Manufacturing Systems Engineering Conference Proceedings and Posters

Computers communicate with humans in ways that increasingly resemble interactions between humans.Nuances in expression and responses to human behavior become more sophisticated, and they approachthose of human-human interaction. The question arises whether we want systems eventually to behave likehumans, or whether systems should, even when much more developed, still adhere to rules that aredifferent from the rules governing interpersonal communication. The panel addresses this issue fromvarious perspectives, eventually aiming to gain some insights into the question of the direction to which thedevelopment of machine-human communication and the etiquette implemented in the systems shouldmove.