Scaling Productivity and Innovation on the Path to Exascale with a ?Team of Teams? Approach.
Abstract not provided.
Raybourn, Elaine M.↗
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Navigating Team Dynamics: Automated Detection of Micro-Behaviors Between Team Members Through Longitudinal Interaction Data
The success in future long term space exploration missions will depend on the cooperation, coordination, and mutual understanding among the crew members. Micro-behaviors are momentary, subtle linguistic and paralinguistic indicators of thinking and feeling toward another member of the team (Cortina et al., 2001; Smith & Griffiths, 2022) that can significantly impact team dynamics and influence the overall team performance (Paromita & Chaspari, 2024). Due to their interactive nature, micro-behaviors have a sender (i.e., the team member expressing the micro-behavior) and a target (the team member impacted by the micro-behavior). Detection of these behaviors can assist in avoiding possible conflict among crew members and promoting the overall team success. Our prior research focused on an initial proof of concept of machine learning (ML) models and natural language processing (NLP) techniques that were used for automatically detect micro-behaviors among crew members of the US National Aeronautics and Space Administration’s (NASA) Human Exploration Research Analog (HERA) Campaigns 4 and 5 missions (Paromita et al., 2023). Results underscored the importance of incorporating contextual information in the ML models in the form of sentiment analysis, type of task, and dyadic interaction among team members. Here, we expand the scope of our prior work in two ways. First, we assess ML/NLP methods on new behavioral annotations coded using an adapted version of Smith & Griffins (2022) theoretical framework in terms of Violation (i.e., presence of valenced behavior, uplifting/positive or discouraging/negative), Intensity (i.e., force of behavior in terms of how uplifting or discouraging is the behavior), and Intent (i.e., motive of the behavior in terms of whether it was deliberate or unintentional). Second, we expand the design of the ML model to preserve information about the role of each team member within the occurrence of the micro-behavior (in contrast to the previous model that only considered the sender and the target without determining the team member role). This allows to consider all team members' contributions in the conversation and model long-term dependencies in the dialogue. Our experiments for this study are conducted on data from 5 teams of the NASA HERA C4 (NASA grant NNX16AQ48G (PI: Bell)). Conversations were extracted from the 1.5 hour Team Interaction Battery (TIB) task that occurred 5 times in-mission per crew. This resulted in a total of 13,058 conversational turns (i.e., 17.8% uplifting, 3.3% discouraging, 75.76% neutral, 3.14% nulls). Our findings with the revised behavioral coding and ML/NLP models indicate a 43.66% macro F1-score (i.e., 38.29% precision (P), 50.8% recall (R)) for a dialog state-tracking model that includes information from the sender only, and a 40.9% F1-score (i.e., 38.7% P, 43.36% R) for the same model that includes information from both the sender and the target of the micro-behavior. These are significantly higher compared to simple random forest models that classify behaviors strictly based on speech content and do not consider iterative team dynamics, achieving a 36.07% F1-score (i.e., 39.04% R, 33.53% P). Our findings demonstrate potential ways to leverage large conversational datasets to better capture complex team dynamics. We will discuss future directions including proposed models that can incorporate additional mission days and tasks beyond the TIB for objectively quantifying team behavior at high temporal resolution in space exploration missions.
Projna Paromita↗
NASA Team Collaboration Pilot: Enabling NASA's Virtual Teams
Most NASA projects and work activities are accomplished by teams of people. These teams are often geographically distributed - across NASA centers and NASA external partners, both domestic and international. NASA "virtual" teams are stressed by the challenge of getting team work done - across geographic boundaries and time zones. To get distributed work done, teams rely on established methods - travel, telephones, Video Teleconferencing (NASA VITS), and email. Time is our most critical resource - and team members are hindered by the overhead of travel and the difficulties of coordinating work across their virtual teams. Modern, Internet based team collaboration tools offer the potential to dramatically improve the ability of virtual teams to get distributed work done.
Prahst, Steve↗
A data driven approach to assess team performance through team communication
For teams working in complex task environments, instilling effective communication between team members is a primary goal during task training. Presently, responsibility for evaluating team communication abilities resides with instructors and outside observers who make qualitative assessments that are shared with the team following a training exercise. Constructing technologies to automate these assessments has historically been prohibitive for two reasons. First, the financial cost of instrumenting the environment to collect team communication data at the necessary fidelity has been too high for an operational setting. Second, past research on using team communication as a proxy for team performance assessment has relied on defining communication through traditional algorithmic design, an approach which does not properly capture the varied nature of communication strategies amongst different teams.
Forsythe, James Chris↗
Team Expo: A State-of-the-Art JSC Advanced Design Team
In concert with the NASA-wide Intelligent Synthesis Environment Program, the Exploration Office at the Johnson Space Center has assembled an Advanced Design Team. The purpose of this team is two-fold. The first is to identify, use, and develop software applications, tools, and design processes that streamline and enhance a collaborative engineering environment. The second is to use this collaborative engineering environment to produce conceptual, system-level-of-detail designs in a relatively short turnaround time, using a standing team of systems and integration experts. This includes running rapid trade studies on varying mission architectures, as well as producing vehicle and/or subsystem designs. The standing core team is made up of experts from all of the relevant engineering divisions (e.g. Power, Thermal, Structures, etc.) as well as representatives from Risk and Safety, Mission Operations, and Crew Life Sciences among others. The Team works together during 2- hour sessions in the same specially enhanced room to ensure real-time integration/identification of cross-disciplinary issues and solutions. All subsystem designs are collectively reviewed and approved during these same sessions. In addition there is an Information sub-team that captures and formats all data and makes it accessible for use by the following day. The result is Team Expo: an Advanced Design Team that is leading the change from a philosophy of "over the fence" design to one of collaborative engineering that pushes the envelope to achieve the next-generation analysis and design environment.
Tripathi, Abhishek↗
Introduction of TTT NRA Teams and NASA Bonded Composites TTT Team: Summary of NASA TTT Team Activities
Explore the source record for details and available documents.
Composites↗
Enabling coordinated, distributed development of scientific software: A research agenda for adapting a team of teams approach
The “team of teams” concept is a strategy for coordinating activities within and across organizations, developed by General Stanley McChrystal and his colleagues based on their experiences leading the Joint Special Operations Task Force in Iraq from 2003-2008. These experiences, and the lessons learned from them, are recounted in the books Team of Teams (McChrystal 2015) and One Mission (Fussell 2017) (the authors and contributors to these books will hereafter be jointly referred to as McChrystal et al.). Essentially, their story is one of rapidly adapting a rigid, siloed organization to defeat the flexible, resilient, and fast-moving network of Al Qaeda in Iraq. As described in the books, when McChrystal took over the Task Force, he found a collection of highly competent, efficient teams of analysts and warfighters which nonetheless had difficulty operating in a unified manner due to close internal ties, distrust of outsiders, bureaucratic stove pipes, and cultural differences stemming from the diverse organizations Task Force teams were affiliated with, including Army Special Forces, CIA, and NSA.
97 MATHEMATICS AND COMPUTING↗
Composing Teams with TEAMSTaR Tool for Evaluating and Mitigating Space Team Risk
As NASA sets its sights on more Earth-independent missions, the mission to Mars as a prime example, a team’s composition becomes a critical issue for mitigating the risks of such endeavors. The purpose of this project is to develop and validate TEAMSTaR (Tool for Evaluating And Mitigating Space Team Risks), a team composition decision support system that can be used by mission stakeholders (e.g., mission schedulers, crew members) to predict how a hypothetical team’s social relationships are likely to evolve and influence crew performance over the course of a mission. TEAMSTaR will enable decision makers to evaluate composition scenarios for a set of teams, for single-member replacements, and/or for subsets of teams.
N S Contractor↗
The Role of the Consequence Management Home Team in the Fukushima Daiichi Response
The Consequence Management Home Team (CMHT) is a U.S. Department of Energy/National Nuclear Security Administration asset and played an important role in the U.S. response effort to the Fukushima Daiichi accident, ranging from the early days of the response to a continued involvement in supporting late phase efforts. Each stage of their work had distinct characteristics in terms of management of incoming data streams and creation of products. The CMHT assisted a variety of response organizations with modeling; radiological operations planning; field monitoring techniques; and the analysis, interpretation, and distribution of radiological data. In the Fukushima Daiichi response, the CMHT grew to include a broader range of support than was historically planned. Through their work, the social and economic impacts of a nuclear or radiological incident were minimized. The CMHT was an integral component of the response in Japan and acted as the central point from which all of the data and products flowed.
21 SPECIFIC NUCLEAR REACTORS AND ASSOCIATED PLANTS↗
Characterizing Distributed Concurrent Engineering Teams: A Descriptive Framework for Aerospace Concurrent Engineering Design Teams
As aerospace missions grow larger and more technically complex in the face of ever tighter budgets, it will become increasingly important to use concurrent engineering methods in the development of early conceptual designs because of their ability to facilitate rapid assessments and trades in a cost-efficient manner. To successfully accomplish these complex missions with limited funding, it is also essential to effectively leverage the strengths of individuals and teams across government, industry, academia, and international agencies by increased cooperation between organizations. As a result, the existing concurrent engineering teams will need to increasingly engage in distributed collaborative concurrent design. This paper is an extension of a recent white paper written by the Concurrent Engineering Working Group, which details the unique challenges of distributed collaborative concurrent engineering. This paper includes a short history of aerospace concurrent engineering, and defines the terms 'concurrent', 'collaborative' and 'distributed' in the context of aerospace concurrent engineering. In addition, a model for the levels of complexity of concurrent engineering teams is presented to provide a way to conceptualize information and data flow within these types of teams.
Concept Design↗
New developments in high pressure x-ray spectroscopy beamline at High Pressure Collaborative Access Team
The 16 ID-D (Insertion Device - D station) beamline of the High Pressure Collaborative Access Team at the Advanced Photon Source is dedicated to high pressure research using X-ray spectroscopy techniques typically integrated with diamond anvil cells. The beamline provides X-rays of 4.5-37 keV, and current available techniques include X-ray emission spectroscopy, inelastic X-ray scattering, and nuclear resonant scattering. Here, the recent developments include a canted undulator upgrade, 17-element analyzer array for inelastic X-ray scattering, and an emission spectrometer using a polycapillary half-lens. Recent development projects and future prospects are also discussed.
47 OTHER INSTRUMENTATION↗
The laser micro-machining system for diamond anvil cell experiments and general precision machining applications at the High Pressure Collaborative Access Team
We report we have designed and constructed a new system for micro-machining parts and sample assemblies used for diamond anvil cells and general user operations at the High Pressure Collaborative Access Team, sector 16 of the Advanced Photon Source. The new micro-machining system uses a pulsed laser of 400 ps pulse duration, ablating various materials without thermal melting, thus leaving a clean edge. With optics designed for a tight focus, the system can machine holes any size larger than 3 μm in diameter. Unlike a standard electrical discharge machining drill, the new laser system allows micro-machining of non-conductive materials such as: amorphous boron and silicon carbide gaskets, diamond, oxides, and other materials including organic materials such as polyimide films (i.e., Kapton). An important feature of the new system is the use of gas-tight or gas-flow environmental chambers which allow the laser micro-machining to be done in a controlled (e.g., inert gas) atmosphere to prevent oxidation and other chemical reactions in air sensitive materials. The gas-tight workpiece enclosure is also useful for machining materials with known health risks (e.g., beryllium). Specialized control software with a graphical interface enables micro-machining of custom 2D and 3D shapes. The laser-machining system was designed in a Class 1 laser enclosure, i.e., it includes laser safety interlocks and computer controls and allows for routine operation. Though initially designed mainly for machining of the diamond anvil cell gaskets, the laser-machining system has since found many other micro-machining applications, several of which are presented here.
47 OTHER INSTRUMENTATION↗
Man UnManned Teaming (MUMT) (or the more acceptable - Human Autonomy Teaming) in the Civil Domain
This presentation provides an overview of civil applications of Human Autonomy Teaming.
AI↗
Worker Safety and Security Teams Team Member Handbook
Worker Safety and Security Teams (WSSTs) are an effective way to promote safe workplaces. While WSSTs have a variety of structures and roles, they have one thing in common - employees and management collaborate to find ways to prevent accidents, injuries, and illnesses on the job. The benefits for all concerned are obvious in that employees have a safe place to work, employers save money on lost work time and workers compensation costs, and everyone returns home safe and healthy each day. A successful WSST will have the support and wholehearted participation of management and employees. LANL has a WSST at the institutional level (IWSST) and at all directorates and many divisions. The WSSTs are part of LANL's Voluntary Protection Program (VPP). The WSSTs meet at least monthly and follow an agenda covering topics such as safety shares, behavior based safety (BBS) observations, upcoming events or activities, issues, etc. A WSST can effectively influence safety programs and provide recommendations to managers, who have the resources and authority to implement changes in the workplace. WSSTs are effective because they combine the knowledge, expertise, perspective, enthusiasm, and effort of a variety of employees with diverse backgrounds. Those with experience in a specific job or work area know what the hazards or potential hazards are, and generally have ideas how to go about controlling them. Those who are less familiar with a job or area play a vital role too, by seeing what others may have overlooked or taken for granted. This booklet will cover the structure and operations of WSSTs, what needs to be done in order to be effective and successful, and how you can help, whether you're a WSST member or not.
99 GENERAL AND MISCELLANEOUS↗
“Shoulda, Coulda, Woulda”: Conceptualizing the Differences in Trust Between Human-Human Teaming and Human-Machine Teaming
Intelligent decision support systems (IDSSs) are machine teammates designed to facilitate better human decision-making in high-consequence domains such as health care, power grid operations, and fraud detection. IDSSs identify patterns in datasets and provide intelligent decision-making recommendations to human teammates. However, previous research indicates that humans often trust IDSS recommendations less than the recommendations from their human teammates, even when the machine teammate is more accurate. To conceptualize why trust differs, we review the literature surrounding trust, error, and predictability. Then, we compile and compare participant trust ratings and decision-making in an abridged systematic review of previous studies manipulating teammate type, error rate, and error type. Finally, we conduct a content analysis of participants’ qualitative responses to trust queries from a survey on generative language models. Results suggest that humans may trust IDSS teammates less than other human teammates because of differences in (1) interaction complexity, (2) blame attribution, and (3) swift trust. We conclude that human factors practitioners should collaborate with data scientists and domain experts to build and maintain trust in IDSSs by anthropomorphizing algorithms, matching mental models, and considering individual differences.
97 MATHEMATICS AND COMPUTING↗
Red Teaming in the Age of IOT Thoughts on Framing the Next Generation of Technical Vulnerability Assessment.
Abstract not provided.
Craft, Richard L.↗