topauthor: ReinermanJones_L* : Human-Computer Interaction Bibliography Search

[1] Workload Is Multidimensional, Not Unitary: What Now? Cognitive Performance and Workload / Matthews, Gerald / Reinerman-Jones, Lauren / Wohleber, Ryan / Lin, Jinchao / Mercado, Joe / Abich, Julian, IV FAC 2015: 9th International Conference on Foundations of Augmented Cognition 2015-08-02 p.44-55

Keywords: Workload; Task demands; Psychophysiology; Electroencephalogram (EEG); Electrocardiogram (ECG); Stress; Performance; Individual differences

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Summary: It is commonly assumed that workload is a unitary construct, but recent data suggest that there are multiple subjective and objective facets of workload that are only weakly intercorrelated. This article reviews the implications of treating workload as multivariate. Examples from several simulated task environments show that high subjective workload is compatible with a variety of patterns of multivariate psychophysiological response. Better understanding of the cognitive neuroscience of the different components of workload, including stress components, is required. At a practical level, neither subjective workload measures nor single physiological responses are adequate for evaluating task demands, building predictive models of human performance, and driving augmented cognition applications. Multivariate algorithms that accommodate the variability of cognitive and affective responses to demanding tasks are needed.

[2] Analysis of Sociocultural Constructs Applicable to Blue Force Teams: Increasing Fidelity from Pencil and Paper and Video Tests to Virtual Environments User Experience in Virtual and Augmented Environments / Scribner, David / Grazaitis, Pete / Animashaun, Asi / Grynovicki, Jock / Reinerman-Jones, Lauren VAMR 2015: 7th International Conference on Virtual, Augmented and Mixed Reality 2015-08-02 p.74-80

Keywords: Sociocultural; Culture; Decision-making; Military; Data collection tools; Virtual environments; Situational judgment test

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Summary: Understanding sociocultural factors and the role they play in a military context is becoming recognized as a shortcoming within both military training and decision-making tools for commanders in the field. We begin by discussing sociocultural theory, its development, and history. Next, we discuss approaches to collecting small-scale friendly force leader and subordinate sociocultural factors. Then, we describe and discuss the utility of Situational Judgment Tests (SJTs) to elicit various sociocultural values in decision-making and how those tests may be translated to more enriched and life-like scenarios in virtual environments. Positive and negative attributes of each approach and viable resources to support their use are discussed.

[3] Experimental Environments for Dismounted Human-Robot Multimodal Communications Agents and Robots in Virtual Environments / Abich, Julian, IV / Barber, Daniel J. / Reinerman-Jones, Lauren VAMR 2015: 7th International Conference on Virtual, Augmented and Mixed Reality 2015-08-02 p.165-173

Keywords: Interactive simulation; Multimodal communication; Human-robot interaction; Dismounted soldiers

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Summary: The goal for multimodal communication (MMC) is to facilitate the conveyance of information through various modalities, such as auditory, visual, and tactile. MMC has become a major focus for enabling human-robot teaming, but it is often the case that the technological-state of robot capabilities is limited for research and development. Currently, robots often serve a single role, not equipped to interact dynamically with human team members. However, before that functionality is developed, it is important to understand what robot capability is needed for effective collaboration. Through the use of simulations, controlled systematic evaluation of MMC input and output devices can be evaluated to garner a better understanding of how to apply MMC with respect to user's abilities and preferences, as well as assess the communication hardware and software functionality. An experiment will be presented and discussed to illustrate this approach.

[4] Theoretical Foundations for Developing Cybersecurity Training Industrial and Military Applications / Ortiz, Eric C. / Reinerman-Jones, Lauren VAMR 2015: 7th International Conference on Virtual, Augmented and Mixed Reality 2015-08-02 p.480-487

Keywords: Cybersecurity; Human component; Virtual and gaming environments

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Summary: Cybersecurity is a computer term regarding the detection, anticipation, and prevention of computer technologies and peripherals from damage, attack, or unauthorized access. These technologies include the monitoring of networks, programs, applications, and personnel. Cybersecurity can be viewed from both an offensive or defensive posture involving maintaining and proactively assessing security vulnerabilities. In 2013, Edward Snowden used his position as an infrastructure analyst to leak thousands of top-secret classified documents detailing the U.S. Government's global covert surveillance and eavesdropping undertakings to the public. This incident identified the human threat as a contributing factor that highlighted several weaknesses in the present state of U.S. cybersecurity affairs. In efforts to strengthen cyber defenses, a solid theoretical research foundation regarding cyber vulnerabilities is warranted. Building upon that foundation, training and experimentation can provide insight into current cybersecurity training methods and how they can be transitioned and implemented into future training regimens.

[5] Investigating Workload Measures in the Nuclear Domain Augmented Cognition: AC1 -- Measuring Workload in Dynamic Environments / Mercado, Joseph E. / Reinerman-Jones, Lauren / Barber, Daniel / Leis, Rebecca Proceedings of the Human Factors and Ergonomics Society 2014 Annual Meeting 2014-10-27 p.205-209

doi 10.1177/1541931214581043

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Summary: Research into human-system interaction, specifically focusing on workload, has intensified in the nuclear domain. Past research on workload in the Nuclear Power Plant (NPP) domain has attempted to use both subjective and physiological measures of workload, yet the sensitivity of the workload measures used in past experiments is unknown. This initial experiment will guide future research in the NPP domain by identifying whether the NASA-TLX, EEG, and ECG are sensitive to detecting workload changes in common NPP Main Control Room (MCR) tasks. Results suggest the three workload measures did not reveal expected differences between task types in the NPP MCR context.

[6] Workload from Nuclear Power Plant Task Types Across Repeated Sessions Augmented Cognition: AC1 -- Measuring Workload in Dynamic Environments / Leis, Rebecca / Reinerman-Jones, Lauren / Mercado, Joseph / Barber, Daniel / Sollins, Brandon Proceedings of the Human Factors and Ergonomics Society 2014 Annual Meeting 2014-10-27 p.210-214

doi 10.1177/1541931214581044

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Summary: Nuclear Power Plant (NPP) operators complete multiple types of tasks within Emergency Operating Procedures (EOPs). Due to the potential serious consequences of committing an error, it is important to determine if the workload (WL) demands operators encounter are at acceptable levels. This study investigates whether there are workload differences are distinct between task types and if there is a difference between each task type over multiple sessions in a simulated environment. Previous research supports that EEG, ECG, and the NASA-TLX are sensitive to changes in WL. The present preliminary experiment sought to investigate WL changes for experienced participants over a number of sessions and task types. During each session, participants completed tasks derived from a combination of EOPs and subject matter expert input that consisted of checking, detection, and response implementation task types. WL changes were measured through EEG, ECG, and NASA-TLX responses. The results indicate that WL differences were found among the different task types, but not sessions. The implications for these findings are discussed in detail.

[7] Psychophysiological Metrics for Workload are Demand-Sensitive but Multifactorial Individual Differences: ID1 -- Vigilance, Monitoring, and Automation / Reinerman-Jones, Lauren E. / Matthews, Gerald / Barber, Daniel J. / Abich, Julian, IV Proceedings of the Human Factors and Ergonomics Society 2014 Annual Meeting 2014-10-27 p.974-978

doi 10.1177/1541931214581204

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Summary: Various psychophysiological indices of mental workload exhibit sensitivity to task demand factors, but the psychometrics of indices has been neglected. In particular, the extent to which different metrics converge on a common latent factor is unclear. In the present study, 150 participants performed in four task scenarios based on a simulation of unmanned vehicle operation. Scenarios required threat detection and/or change detection. Both single- and dual-task scenarios were used. Workload metrics were derived from the electroencephalogram (EEG), electrocardiogram (ECG), transcranial Doppler sonography (TCD), functional Near Infra-Red (fNIR) and eyetracking. Subjective workload was also assessed. Several metrics were appropriately sensitive to the differing levels of task load presented by the four scenarios. However, factor analysis identified multiple factors, each of which was associated with a single response system only, with no general factor. Caution should be used in assessing workload in the individual operator.

[8] Cerebral Blood Flow Velocity and Stress as Predictors of Decision Making Individual Differences: ID2 -- Cognition and Performance I / Reinerman-Jones, Lauren / Parchment, Avonie / Matthews, Gerald / Barber, Daniel / Lackey, Stephanie / Teo, Grace Proceedings of the Human Factors and Ergonomics Society 2014 Annual Meeting 2014-10-27 p.984-988

doi 10.1177/1541931214581206

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Summary: Predicting decision making may be essential for personnel selection. The present study aimed to predict sustained decision making using measures of subjective state and physiological response to a short task battery. Volunteers completed a short battery of decision tasks, followed by a dynamic task simulating business decision making. Subjective stress state and cerebral blood flow velocity (CBFV) responses to each task suggested that sustained decision making may induce stress and fatigue. Some positive associations were found between CBFV responses to the short battery and long task performance. The right hemisphere CBFV responses taken during the long task correlated highly with long task performance. These findings suggest that hemodynamic response to a verbal task, like the short battery, may provide an effective means for predicting subsequent decision making effectiveness. The findings also suggest that CBFV may access multiple resources required for sustained decision making, localized in left and right hemispheres.

[9] Determining Language for Human to Robot Navigational Commands Perception & Performance: PP1 -- Driving / Teo G., A / Reinerman-Jones L., A / Barber D., A / Hudson I., A Proceedings of the Human Factors and Ergonomics Society 2014 Annual Meeting 2014-10-27 p.1691-1695

doi 10.1177/1541931214581353

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Summary: Robots that collaborate with humans must be equipped with interfaces that support deeper and richer interaction. Such interfaces may involve the understanding and production of speech. This calls for an understanding of speech and natural language in various contexts. The present study investigates the preferred words and phrases used in giving directions to a robot teammate in an intelligence and surveillance reconnaissance (ISR) mission. Results indicate that participants may have had a perceptual mental model that influenced choice of words or phrases. Recommendations for future research include examining the factors that affect development of schemas when interacting with robots.

[10] Truck Driving Distractions: Impact on Performance and Physiological Response Surface Transportation: ST7 -- Driver Distraction / Sollins, Brandon / Chen, Dar-Wei / Reinerman-Jones, Lauren / Tarr, Ron Proceedings of the Human Factors and Ergonomics Society 2014 Annual Meeting 2014-10-27 p.2171-2175

doi 10.1177/1541931214581456

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Summary: Distracted driving is becoming more prevalent as automobile use is commonplace and technology use grows in pervasiveness. The present study investigated the impact of cell phone, touch MP3, and external environmental distractions on commercial truck driving performance. Commercial truck drivers' performance and physiological responses were monitored while they drove a simulated cab through various control and distraction scenarios. The results support previous findings that distractions, particularly the phone and touch MP3, reduce driving performance and increase cognitive resource allocation in truck drivers.

[11] Impact of Instructional Strategies on Motivation and Engagement for Simulation-Based Training of Robot-Aided ISR Tasks Training: T1 -- Training and Instruction in a Military Context / Salcedo, Julie N. / Lackey, Stephanie J. / Maraj, Crystal / Reinerman-Jones, Lauren E. Proceedings of the Human Factors and Ergonomics Society 2014 Annual Meeting 2014-10-27 p.2320-2324

doi 10.1177/1541931214581483

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Summary: The U.S. Army projects a considerable increase in the number of operational Unmanned Ground Systems (UGS) within the next ten years. There is a need to enhance UGS capabilities to support remote Intelligence, Surveillance, Reconnaissance (ISR) operations involving the identification of High-Value Individuals (HVI). Emerging UGS capability requirements will inevitably result in new or revised training requirements. The U.S. Army identifies Simulation-Based Training (SBT) as a required training platform for robot-aided ISR tasks utilizing UGSs. In order to implement an effective SBT system, there are several factors to consider related to training systems design and trainee needs. Factors addressed in this study include the selection of effective SBT instructional strategies and the impact on trainee motivation and engagement. Results from this study contribute to design and future research recommendations regarding SBT for robot-aided ISR tasks.

[12] Robot Behavior for Enhanced Human Performance and Workload Interaction Devices, Displays and Techniques in VAMR / Teo, Grace / Reinerman-Jones, Lauren VAMR 2013: 6th International Conference on Virtual, Augmented and Mixed Reality, Part I: Designing and Developing Virtual and Augmented Environments 2014-06-22 v.1 p.117-128

Keywords: Human-robot teaming; Robot behavior; Performance; Workload

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Summary: Advancements in technology in the field of robotics have made it necessary to determine integration and use for these in civilian tasks and military missions. Currently, literature is limited on robot employment in tasks and missions, and few taxonomies exist that guide understanding of robot functionality. As robots acquire more capabilities and functions, they will likely be working more closely with humans in human-robot teams. In order to better utilize and design robots that enhance performance in such teams, a better understanding of what robots can do and the impact of these behaviors on the human operator/teammate is needed.

[13] Good Enough Yet? A Preliminary Evaluation of Human-Surrogate Interaction Avatars and Virtual Characters / Abich, Julian, IV / Reinerman-Jones, Lauren E. / Matthews, Gerald / Welch, Gregory F. / Lackey, Stephanie J. / Hughes, Charles E. / Nagendran, Arjun VAMR 2013: 6th International Conference on Virtual, Augmented and Mixed Reality, Part I: Designing and Developing Virtual and Augmented Environments 2014-06-22 v.1 p.239-250

Keywords: human-robot interaction; human-surrogate interaction; communications; social psychology; avatar; physical-virtual avatar

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Summary: Research exploring the implementation of surrogates has included areas such as training (Chuah et al., 2013), education (Yamashita, Kuzuoka, Fujimon, & Hirose, 2007), and entertainment (Boberg, Piippo, & Ollila, 2008). Determining the characteristics of the surrogate that could potentially influence the human's behavioral responses during human-surrogate interactions is of importance. The present work will draw on the literature about human-robot interaction (HRI), social psychology literature regarding the impact that the presence of a surrogate has on another human, and communications literature about human-human interpersonal interaction. The review will result in an experimental design to evaluate various dimensions of the space of human-surrogate characteristics influence on interaction.

[14] Hemispheric Differences and Spatial Ability in Robot to Human Tactile Communication Perception & Performance: PP3 -- Human-Robot Interaction / Descheneaux, Charles R. / Reinerman-Jones, Lauren / Barber, Daniel Proceedings of the Human Factors and Ergonomics Society 2013 Annual Meeting 2013-09-30 p.1154-1158

doi 10.1177/1541931213571257

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Summary: Robots are following an evolutionary path similar to computers. One obstacle for this evolution is language interaction between humans and robots. Traditionally, human-to-robot language has been one way in the form of commands from human to robot. One path of robot-to-human language is tactile. Tactile communication affords the user a hands-free method of interaction. Hands-free tactile communication is an asset for military ground personnel allowing the hands, eyes, and ears to be fully utilized for other tasks. Speech and language are traditionally associated with the left cerebral hemisphere. Since tactile communication does not include the traditional auditory pathway of verbal language, there is potential for employing a more right cerebral hemisphere spatial pathway. The present study looks at the right and left cerebral hemispheric activity measured by an electroencephalogram of participants using a vibrotactile belt for robot to human communication.

[15] Investigating Workload Measures for Adaptive Training Systems Training: T1 -- Adaptive Training / Abich, Julian, IV / Reinerman-Jones, Lauren / Taylor, Grant S. Proceedings of the Human Factors and Ergonomics Society 2013 Annual Meeting 2013-09-30 p.2091-2095

doi 10.1177/1541931213571466

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Summary: Adaptive training systems have the potential to be tremendously beneficial for both trainees and trainers. The greatest challenge in creating adaptive training systems is the development of methods capable of reliably and unobtrusively monitoring the trainee's cognitive state throughout the training process. Previous research suggests that eye tracking methods may be capable of supporting this requirement. The present study sought to evaluate the use of eye tracking methods across multiple tasks to identify potential limitations for its future implementation in adaptive training systems. The results suggest that, although eye tracking is capable of detecting fluctuations in operator workload related to the performance of tasks requiring focal vision, it is insensitive to workload fluctuations associated with tasks that can be performed using peripheral vision. This limitation must be considered by developers intending to use this technology within adaptive systems.

[16] Establishing Workload Manipulations Utilizing a Simulated Environment Business, Industrial and Military Applications / Abich, Julian, IV / Reinerman-Jones, Lauren / Taylor, Grant VAMR 2013: 5th International Conference on Virtual, Augmented and Mixed Reality, Part II: Systems and Applications 2013-07-21 v.2 p.211-220

Keywords: Workload; simulated environments; complex systems; signal detection; change blindness

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Summary: Research seeking to improve the measurement of workload requires the use of established task load manipulations to impose varying levels of demand on human operators. The present study sought to establish task load manipulations for research utilizing realistically complex task environments that elicit distinct levels of workload (i.e. low, medium, and high). A repeated measures design was used to test the effects of various demand manipulations on performance and subjective workload ratings using the NASA-Task Load Index (TLX) and Instantaneous Self-Assessment technique (ISA). This experiment successfully identified task demand manipulations that can be used to investigate operator workload within realistically complex environments. Results revealed that the event rate manipulations had the most consistent impact on performance and subjective workload ratings in both tasks, with each eliciting distinct levels of workload.

[17] Developing Methodology for Experimentation Using a Nuclear Power Plant Simulator Team Cognition / Reinerman-Jones, Lauren / Guznov, Svyatoslav / Mercado, Joseph / D'Agostino, Amy FAC 2013: 7th International Conference on Foundations of Augmented Cognition 2013-07-21 p.181-188

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Summary: Many of today's most complicated systems are human-machine systems that involve extensive advanced technology and a team of highly trained operators. As these human-machine systems are so complex, it is important to understand the factors that influence operator performance, operator state (e.g., overloaded, underload, stress) and the types of errors that operators make. Thus, it is desirable to develop an experimental methodology for studying complex systems that involve team operations. This paper looks at Nuclear Power Plant (NPP) operations as a test case for building this methodology. The methodology will reference some aspects/details specific to NPPs, but the general principles are intended to extend to any complex system that involves team operations.

[18] Adaptive Automation as a Task Switching and Task Congruence Challenge Augmented Cognition: AC1 - Assessing Individual and Team Cognitive State / Reinerman-Jones, Lauren / Taylor, Grant / Sprouse, Kimberly / Barber, Daniel / Hudson, Irwin Proceedings of the Human Factors and Ergonomics Society 55th Annual Meeting 2011-09-19 p.197-201

doi: 10.1177/1071181311551041

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Summary: Adaptive automation refers to a system capability that enables task sharing between a human operator and a system. The purpose for this type of collaborative sharing is to maintain a moderate level of task load, particularly in a multi-tasking environment. However, some costs might accrue from switching automation on and off, as is shown from task switching literature. Additionally, it is possible that congruency between task demand and the level of automation affects performance. Thus, before system-controlled adaptive automation is implemented into an operational environment, the goal for the present experiment is to examine the costs associated with turning automation on and off and to investigate the effects of demand/automation congruence. Analysis of the congruence effects revealed performance to benefit from higher levels of automation, regardless of task load. Task switching caused by adaptive automation was found to be detrimental to performance during periods of high task demand, but was beneficial during periods of low demand.

[19] Use of Neurophysiological Metrics within a Real and Virtual Perceptual Skills Task to Determine Optimal Simulation Fidelity Requirements Human Physiology and Behaviour in VR Environments / Vice, Jack Maxwell / Skinner, Anna / Berka, Chris / Reinerman-Jones, Lauren / Barber, Daniel / Pojman, Nicholas / Tan, Veasna / Sebrechts, Marc M. / Lathan, Corinna E. VMR 2011: 4th International Conference on Virtual and Mixed Reality, Part I: New Trends 2011-07-09 v.1 p.387-399

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Summary: The military is increasingly looking to virtual environment (VE) developers and cognitive scientists to provide virtual training platforms to support optimal training effectiveness within significant time and cost constraints. However, current methods for determining the most effective levels of fidelity in these environments are limited. Neurophysiological metrics may provide a means for objectively assessing the impact of fidelity variations on training. The current experiment compared neurophysiological and performance data for a real-world perceptual discrimination task as well as a similarly-structured VE training task under systematically varied fidelity conditions. Visual discrimination and classification was required between two militarily-relevant (M-16 and AK-47 rifle), and one neutral (umbrella) stimuli, viewed through a real and virtual Night Vision Device. Significant differences were found for task condition (real world versus virtual, as well as visual stimulus parameters within each condition), within both the performance and physiological data.

[20] Analysis of Multiple Physiological Sensor Data Theories, Models and Technologies for Augmented Cognition / Reinerman-Jones, Lauren / Taylor, Grant / Cosenzo, Keryl / Lackey, Stephanie J. FAC 2011: 6th International Conference on Foundations of Augmented Cognition. Directing the Future of Adaptive Systems 2011-07-09 p.112-119

Keywords: EEG; ECG; Eye Tracking; Statistical Analyses; Emotion

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Summary: Physiological measures offer many benefits to psychological research including objective, non-intrusive assessment of affective and cognitive states. However, this utility is limited by analysis techniques available for testing data recorded by multiple physiological sensors. The present paper presents one set of data that was attained from a repeated measures design with a nominal independent variable for analysis. Specifically, the International Affective Picture System (IAPS; Lang, Bradley, & Cuthbert, 2008), a series of images known to convey seven different emotions, was presented to participants while measures of their neurological activity (Electroencephalogram; EEG), heart rate (Electrocardiogram; ECG), skin conductance (Galvanic Skin Respond; GSR), and pupillary response were taken. Subsequently, a discussion of statistics available for analyzing responses attained from the various sensors is presented. Such statistics include correlation, ANOVA, MANOVA, regression, and discriminant function analysis. The details on design limitations are addressed and recommendations are given for employing each statistical option.

[21] Augmenting Robot Behaviors Using Physiological Measures Augmented Cognition in Complex Environments / Barber, Daniel / Reinerman-Jones, Lauren / Lackey, Stephanie J. / Hudson, Irwin FAC 2011: 6th International Conference on Foundations of Augmented Cognition. Directing the Future of Adaptive Systems 2011-07-09 p.567-572

Keywords: Multi-Modal Communion; Implicit Communication; Human Robot Interaction; Physiological Measures for State Measurement

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Summary: In recent years, advancements in Unmanned Systems have allowed Human Robot Interaction (HRI) to transition from direct remote control to autonomous systems capable of self-navigation. However, these new technologies do not yet support true mixed-initiative solider-robot teaming where soldiers work with another agent as if it were another human being. In order to achieve this goal, researchers must explore new types of multi-modal and natural communication strategies and methods to provide robots improved understanding of their human counterparts' thought process. Physiological sensors are continuously becoming more portable and affordable leading to the possibility of providing new insight of team member state to a robot team member. However, steps need to be taken to improve how affective and cognitive states are measured and how these new metrics can be used to augment the decision making process for a robot team member. This paper describes current state of the art and next steps needed for accurate profile creation for improved human robot team performance.

[22] Comparison of Multiple Physiological Sensors to Classify Operator State in Adaptive Automation Systems AUGMENTED COGNITION: AC1 -- Research and Methods Pertaining to EEG / Taylor, Grant / Reinerman-Jones, Lauren / Cosenzo, Keryl / Nicholson, Denise Proceedings of the Human Factors and Ergonomics Society 54th Annual Meeting 2010-09-27 v.54 p.195-199

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Summary: Automating tasks alleviates operator resources to be delegated to other demands, but the cost is often situation awareness. In contrast, complete manual control of a system opens the door for greater human error. Therefore, an ideal situation would require the development of an adaptive system in which automation can be triggered based on performance of a particular task, time spent on the task, or perhaps physiological response. The latter pertains to the goal for this particular study. Electroencephalogram (EEG), electrocardiogram (ECG), and eye tracking measures were recorded during six multi-tasking scenarios to assess if any one single measure is best suited for future implementation as an automation invocation. EEG showed the greatest potential for that purpose.

[23] THE BASIC VERSUS APPLIED RESEARCH DILEMMA AUGMENTED COGNITION: AC2 -- The Basic versus Applied Research Dilemma / Reinerman-Jones, Lauren E. Proceedings of the Human Factors and Ergonomics Society 54th Annual Meeting 2010-09-27 v.54 p.215-217

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Summary: The timeless basic versus applied research debate continues with what appears as no middle ground. Augmented Cognition researchers, particularly, are faced with the dilemma of merging laboratory results into applicable systems, i.e. developing and applying real-time physiological measures to integrate into human-computer systems. Insight to that disparity might be gleaned by revisiting this age-old debate of whether basic and applied research operate at opposite ends of the spectrum or perhaps on a more narrowed continuum. A few items to be addressed include a solution between the two camps, methods for bridging the gaps between laboratory and field experiments and then to advanced development, and the importance of mediation occurring within knowledge and practice. The panelists are challenged to make recommendations for investigators in augmented cognition and related fields to overcome the limitations of working in a controlled laboratory or a field environment and to achieve the most useful findings.

[24] Transfer: From the Laboratory to the Real-World AUGMENTED COGNITION: AC3 -- Transfer: From the Laboratory to the Real World / Reinerman-Jones, Lauren / Nicholson, Denise Proceedings of the Human Factors and Ergonomics Society 54th Annual Meeting 2010-09-27 v.54 p.218-219

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Summary: The basic versus applied research debate for decades has carried through to all sciences and their sub-disciplines. Recent books highlight the challenges encountered in Human Factors and Ergonomics (HF/E) regarding laboratory and real-world research (Chebykin, Bedny, & Karwowski, 2008; Proctor &Van Zandt, 2008; Vicenzi, Wise, Mouloua, & Hancock, 2009; Wickens & McCarley, 2008). Given that the basic versus applied research dispute forges on, a panel is composed for the Human Factors and Ergonomics Society 2010 Conference to revisit the more traditional issues surrounding the debate. The panelists will address whether basic and applied research are on opposite ends of the spectrum or if the gap between those two extremes has merged. They are challenged with making recommendations to overcome the limitations of working in a controlled laboratory or a field environment and to achieve the most useful findings.

[25] Training Transfer Design Theories Revisited for Application to Virtual Environments AUGMENTED COGNITION: AC3 -- Transfer: From the Laboratory to the Real World / Sprouse, Kim / Reinerman-Jones, Lauren / Nicholson, Denise Proceedings of the Human Factors and Ergonomics Society 54th Annual Meeting 2010-09-27 v.54 p.230-233

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Summary: Training transfer, a dated issue, takes new perspective when considering designing a virtual environment (VE) best suited for application to the real-world. A review of three key design theories is provided. An outline follows of the basic components, limitations, and future directions for Identical Elements Theory, Principles Theory, and Near and Far Transfer Theory. Discussion surrounding theory applicability to a variety of fields including route mapping, medical, and pilot training encourages serious evaluation of the evidence supporting any one theory capable of accounting for all training transfer from VE systems and the probability of training capable of transferring for all fields.