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Search indexed NASA NTRS and DOE OSTI research on propulsion, heat transfer, battery materials and energy systems. Follow report and document links to the original sources.

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At least 19 records

Demonstration of a Spoken Dialogue Interface for Planning Activities of a Semi-autonomous Robot

Planning and scheduling in the face of uncertainty and change pushes the capabilities of both planning and dialogue technologies by requiring complex negotiation to arrive at a workable plan. Planning for use of semi-autonomous robots involves negotiation among multiple participants with competing scientific and engineering goals to co-construct a complex plan. In NASA applications this plan construction is done under severe time pressure so having a dialogue interface to the plan construction tools can aid rapid completion of the process. But, this will put significant demands on spoken dialogue technology, particularly in the areas of dialogue management and generation. The dialogue interface will need to be able to handle the complex dialogue strategies that occur in negotiation dialogues, including hypotheticals and revisions, and the generation component will require an ability to summarize complex plans. This demonstration will describe a work in progress towards building a spoken dialogue interface to the EUROPA planner for the purposes of planning and scheduling the activities of a semi-autonomous robot. A prototype interface has been built for planning the schedule of the Personal Satellite Assistant (PSA), a mobile robot designed for micro-gravity environments that is intended for use on the Space Shuttle and International Space Station. The spoken dialogue interface gives the user the capability to ask for a description of the plan, ask specific questions about the plan, and update or modify the plan. We anticipate that a spoken dialogue interface to the planner will provide a natural augmentation or alternative to the visualization interface, in situations in which the user needs very targeted information about the plan, in situations where natural language can express complex ideas more concisely than GUI actions, or in situations in which a graphical user interface is not appropriate.

Dowding, John↗

"Do That Again": Evaluating Spoken Dialogue Interfaces

We present a new technique for evaluating spoken dialogue interfaces that allows us to separate the dialogue behavior from the rest of the speech system. By using a dialogue simulator that we have developed, we can gather usability data on the system s dialogue interaction and behaviors that can guide improvements to the speech interface. Preliminary testing has shown promising results, suggesting that it is possible to test properties of dialogue separately from other factors such as recognition quality.

James, Frankie↗

Enhancing Operational Safety via Agentic Dialogue Hazard Identification Analysis

Operational safety in high-stakes domains such as industrial process control, autonomous, and safety-critical systems demand reliable hazard identification. While large language models (LLMs) have shown promise in automating safety analysis tasks, single-turn, monolithic inference is brittle: it lacks the self-correction, deliberation, and contextual refinement that safety engineers apply iteratively. In this paper, we introduce HAZDIAL, a framework that investigates whether structured agentic dialogue (multi-agent, multi-turn interactions) improves the quality of NLP-based hazard identification over single-pass baselines. We systematically compare two dialogue modalities: adversarial debate and constructive discussion, and propose an genetic algorithm-based agentic interaction optimization. We evaluate all configurations against a curated golden dataset using standard classification metrics (accuracy, precision, recall, F1) and a novel dialogue metrics. This work advances the intersection of dialogue systems, multi-agent reasoning, and AI safety, providing empirical evidence for dialogue-driven hazard analysis.

Das, Sanjay [ORNL] (ORCID:0009000542591915)↗

Coal-Powered Electric Generating Unit Efficiency and Reliability Dialogue: Summary Report

Coal continues to play a critical role in powering the Nation’s electricity generation, especially for baseload power plants. With aging coal generation assets facing decreased performance due to the state of the equipment, and with challenges exacerbated by the current market pressures on the coal sector, there are opportunities to advance early-stage technologies that can retrofit or replace equipment components. These changes will eventually result in significant improvements in plant performance once further developed and deployed by industry. Research and development in areas such as materials, fluid dynamics, fuel properties and preparation characteristics, and a new generation of plant controls can lead to new components and systems that can help improve the efficiency and reliability of coal-fired power plants significantly, allowing these assets to continue to provide baseload power. Coal stockpiles at electricity generation plants are typically large enough to provide 30 to 60 days of power prior to resupply—significantly enhancing the stability and reliability of the U.S. electricity sector. Falling prices for non-dispatchable renewable energy and mounting environmental regulations, among other factors, have stimulated efforts to improve the efficiency of these coal-fired electric generating units (EGUs). In addition, increased reliance on natural gas and non-dispatchable energy sources has spurred efforts to further increase the reliability of coal EGUs. The Coal Powered EGU Efficiency and Reliability Dialogue brought together stakeholders from across the coal EGU industry to discuss methods for improvement. Participants at the event reviewed performance-enhancing innovations in coal EGUs, discussed the potential for data-driven management practices to increase efficiency and reliability, investigated the impacts of regulatory compliance on coal EGU performance, and discussed upcoming challenges for the coal industry. This report documents the key findings and research suggestions discussed at the event. Discussions at the workshop will aid DOE in developing a set of distinct initiatives that can be pursued by government and industry to realize promising technological pursuits. DOE plans to use the results of the Dialogue coupled with ongoing technical analysis of efficiency opportunities within the coal-fired fleet, and additional studies to develop a comprehensive strategy for capitalizing on thermal efficiency improvements. Expected Power Plant Efficiency Improvements include developing cost-effective, efficient, and reliable technologies for boilers, turbines, and sensors and controls to improve the reliability and efficiency of existing coal-based power plants. The Office of Fossil Energy at DOE plans to work with industry to develop knowledge pertaining to advanced technologies and systems that industry can subsequently develop. These technologies and systems will increase reliability, add operational flexibility and improve efficiency, thereby providing more robust power generation infrastructure. The following table lists the research suggestions and questions for further investigation that were identified by participants in each session of the dialogue.

01 COAL, LIGNITE, AND PEAT↗

Instruction dialogues: Teaching new skills to a robot

Extended dialogues between a human user and a robot system are presented. The purpose of each dialogue is to teach the robot a new skill or to improve the performance of a skill it already has. The particular interest is in natural language dialogues but the illustrated techniques can be applied to any high level language. The primary purpose is to show how verbal instruction can be integrated with the robot's autonomous learning of a skill.

Crangle, Colleen↗

Research on Spoken Dialogue Systems

Research in the field of spoken dialogue systems has been performed with the goal of making such systems more robust and easier to use in demanding situations. The term "spoken dialogue systems" signifies unified software systems containing speech-recognition, speech-synthesis, dialogue management, and ancillary components that enable human users to communicate, using natural spoken language or nearly natural prescribed spoken language, with other software systems that provide information and/or services.

Aist, Gregory↗

Data dialogues: critical connections for designing and implementing future nanomaterial research

Individuals and organizations in the engineered nanomaterial (ENM) community have increasingly recognized two related but distinct concerns: 1) discordant data due to differences in experimental design (e.g., material characteristics, experimental model, exposure concentration) or reporting (e.g., dose metric, material characterization details), and 2) a lack of data to inform decisions about ENM environmental, health, and safety (EHS). As one way to help address these issues, this Commentary discusses the important role of “data dialogues” or structured discussions between ENM researchers in EHS fields (e.g., toxicology, exposure science, and industrial hygiene) and decision makers who use the data researchers collect. The importance of these structured discussions is examined here in the context of barriers, solutions, and incentives: barriers to developing research relevant for human and ecological risk assessments; potential solutions to overcome such barriers; and incentives to help implement these or other solutions. These barriers, solutions, and incentives were identified by a group of expert stakeholders and ENM community members at the December 2013 Society for Risk Analysis panel discussion on research needed to support decision making for multiwalled carbon nanotubes (MWCNTs). Key topics discussed by experts and ENM community members include: (1) the value of researchers collaborating with EHS decision makers (e.g., risk analysts, product developers, regulators) to design research that can inform ENM EHS-related decisions (e.g., occupational exposure limits, product safety determinations), (2) the importance of funding incentives for such collaborative research, (3) the need to improve mechanisms for data-sharing within and between sectors (e.g., academia, government, and industry), and (4) the critical need to educate the “next generation” of nanotechnology researchers in EHS topics (e.g., risk assessment, risk management). In presenting these outcomes, this Commentary is not intended to conclude the conversation that took place in December 2013 but rather to support a broader dialogue that helps ensure important risk assessment questions are answered for ENMs.

communication↗

Public dialogue on physics and related technology after the Fukushima Daiichi nuclear accident

After the Fukushima Daiichi Nuclear Accident, the importance of bottom-up and two-way dialogue between scientists and the public has been recognized. In such dialogue, information provided must accurately match the public’s interest and ability regarding science and technology. We have started to investigate what people want to know about physics. Some were interested in energy security (a particular concern in Japan), but others were concerned about radioactivity in food and natural radiation background. The conversations revealed that physicists often give insufficient explanations of the biological effects of radiation and highlighted key points for physicists to make when talking with the public.

54 ENVIRONMENTAL SCIENCES↗

Targeted Help for Spoken Dialogue Systems: Intelligent Feedback Improves Naive Users' Performance

We present experimental evidence that providing naive users of a spoken dialogue system with immediate help messages related to their out-of-coverage utterances improves their success in using the system. A grammar-based recognizer and a Statistical Language Model (SLM) recognizer are run simultaneously. If the grammar-based recognizer suceeds, the less accurate SLM recognizer hypothesis is not used. When the grammar-based recognizer fails and the SLM recognizer produces a recognition hypothesis, this result is used by the Targeted Help agent to give the user feed-back on what was recognized, a diagnosis of what was problematic about the utterance, and a related in-coverage example. The in-coverage example is intended to encourage alignment between user inputs and the language model of the system. We report on controlled experiments on a spoken dialogue system for command and control of a simulated robotic helicopter.

Hockey, Beth Ann↗

Engineering A Bridge Across Cultures: Insights to Support Dialogue with Engineering Professionals on Ethical and Social Design Considerations

In April 2023, the National Aeronautics and Space Administration (NASA) hosted the Artemis and Ethics workshop at NASA headquarters, inviting 55 participants from a wide range of scholarly disciplines to participate in a dialogue on ethical considerations for Artemis and the Moon to Mars initiative. At this event, participants identified a set of challenges in engaging the ethical and social implications of these missions. This paper seeks to further explore those concepts from the workshop report and provide insights on how to discuss the design implications of engineering leadership decisions and to elicit meaningful engagement on these topics. This analysis can inform future research and educational approaches and help ethics and social science researchers to engage engineering and project leaders in constructive dialogue.

Artemis↗

Participant-Observations of 'Effective Dialogue' at a NASA Center: Toward New Paradigm

Four recently instituted 'dialogic' communication forums at a NASA center are described and analyzed. Their discourse is compared to a (typical) paradigmatic model of dialogic discourse principles. It is argued that dialogue which does not fit the exemplary model may nonetheless be effective for building community, investment, and democratic exchange. The study further suggests that consensus and teamwork may be less evident (and perhaps less effective) than individual voice and oppositional stance.

Effective Dialogue↗

Effective dialogue: Enhanced public engagement as a legitimising tool for municipal waste management decision-making

Highlights: • A review of public engagement in waste management decision-making is undertaken. • Enhanced public engagement is explored as a means to legitimise waste decisions. • Analytical–deliberative processes are explored as a tool for effective dialogue. • Considerations for integrating public values with technical analysis are outlined. • Insights into the design of appropriate public engagement processes are provided. - Abstract: The complexity of municipal waste management decision-making has increased in recent years, accompanied by growing scrutiny from stakeholders, including local communities. This complexity reflects a socio-technical framing of the risks and social impacts associated with selecting technologies and sites for waste treatment and disposal facilities. Consequently there is growing pressure on local authorities for stakeholders (including communities) to be given an early opportunity to shape local waste policy in order to encourage swift planning, development and acceptance of the technologies needed to meet statutory targets to divert waste from landfill. This paper presents findings from a research project that explored the use of analytical–deliberative processes as a legitimising tool for waste management decision-making. Adopting a mixed methods approach, the study revealed that communicating the practical benefits of more inclusive forms of engagement is proving difficult even though planning and policy delays are hindering development and implementation of waste management infrastructure. Adopting analytical–deliberative processes at a more strategic level will require local authorities and practitioners to demonstrate how expert-citizen deliberations may foster progress in resolving controversial issues, through change in individuals, communities and institutions. The findings suggest that a significant shift in culture will be necessary for local authorities to realise the potential of more inclusive decision processes. This calls for political actors and civic society to collaborate in institutionalising public involvement in both strategic and local planning structures.

12 MANAGEMENT OF RADIOACTIVE AND NON-RADIOACTIVE W↗

Improving Competitiveness of U.S. Coal Dialogue

The Improving Competitiveness of U.S. Coal Dialogue held in September 2017 explored a broad range of technical developments that have the potential to improve U.S. coal competitiveness in domestic and overseas markets. The workshop is one in a series of events hosted by DOE to gather expert input on challenges and opportunities for reviving the coal economy. This event brought together coal industry experts to review developments in a broad range of technical areas such as conventional physical (e.g. dense-medium) technologies, and dry coal treatments; thermal, chemical, and bio-oxidation coal upgrading technologies; coal blending; and applications for ultrafine coal and waste streams. The workshop was organized to focus on three main discussion topics: Challenges and Opportunities for Improving U.S. Coal Competitiveness in Overseas Markets, Mineral Processing, and Technologies to Expand the Market Reach of Coal Products. In each session, invited experts delivered presentations to help frame the subsequent group discussion. Throughout the discussions, participants described many possible areas of research and development (R&D) in which DOE involvement could help to produce significant outcomes. In addition, participants discussed a number of open questions—those that the industry has raised or investigated but not yet resolved. In discussing the three topics, the participants suggested potential areas of research and issues for further investigation. As summarized in Table ES-1, these crosscutting suggestions centered on combustion technologies, coal quality, coal processing, environmental issues, and other issues. The discussions at this workshop will serve as an input that DOE considers in developing initiatives that can be pursued by government and industry. This workshop generated strategies that described core research concepts, identified implementation steps, estimated benefits, clarified roles of government and industry, and outlined next steps. While more work is needed, each of these initiatives, included in the sections that follow, details new ideas to increase efficiency and reduce carbon emissions. DOE will integrate the results of this workshop with ongoing research work at the National Laboratories as well as other relevant data sources. This combined information will be used to develop a comprehensive strategy for capitalizing on the opportunity for U.S. coal and mineral competitiveness.

01 COAL, LIGNITE, AND PEAT↗

Actinide N-Donor Thermodynamics: Expanding the f-element Covalency Dialogue. Final report

Resolving the chemistry and physics of f-electrons is one of the grand challenges of science for energy technology. A central component of this challenge is describing covalency in actinide-ligand interactions. Crystallography, x-ray spectroscopy and computational techniques have provided reasonable, and in some cases remarkable, support for covalency in actinide-ligand interactions. Courtesy the quality of the results obtained, a significant portion of the covalency dialogue has been forwarded through solid-state and computational studies of the more stable actinides (Th, U, Pu, Np). However; recent reports have questioned whether covalency in actinide interactions increases or decreases across the series. Examination of less-stable trans-actinides (Am, Cm, Bk, Cf and Es) by the aforementioned approaches can be rapidly limited due to material availability, radiological hazards and experimental data to validate computational models. Furthermore, limited thermodynamic data exists to confirm covalency in actinide solution phase interactions that are highly relevant to the remediation and reprocessing of used nuclear fuel. The best-defined interactions of actinides with soft donors in aqueous solutions involve (poly)aminopolycarboxylate (APC) ligands. The chelate effect and binding affinity with the acetic acid APCs subgroups encourages amine interactions with the actinide metal center. In the absence of these factors, amine interactions with actinides are too weak to overcome the protective hydration shell of the dissolved ion. The ability for APCs to force actinide interactions with soft nitrogen donors (as defined by Pearson’s Hard Soft Acid Base theory) encourages the application of these ligands in a variety of processes for actinide recovery from nearly chemically identical lanthanides. The ability to functionalize the amine center of the ligand in a variety of capacities (adding additional amine groups, exchanging the conventional acetate group for an acetate group, etcetera), allows for the APC ligand to serve as a thermodynamic probe for actinide-nitrogen interactions. Perhaps the single most significant breakthrough during the previous funding cycle was the observation that covalency for the transplutonium part of the actinide series can be increasingly influenced with energy degeneracy driven covalency as the actinides become heavier. This was observed most predominantly with dipicolinic acid, but extensions of f-orbital degeneracy were found to affect aliphatic aminopolycarboxylate-actinide complexes through einsteinium.

37 INORGANIC, ORGANIC, PHYSICAL, AND ANALYTICAL CH↗

A model for the control mode man-computer interface dialogue

A four stage model is presented for the control mode man-computer interface dialogue. It consists of context development, semantic development syntactic development, and command execution. Each stage is discussed in terms of the operator skill levels (naive, novice, competent, and expert) and pertinent human factors issues. These issues are human problem solving, human memory, and schemata. The execution stage is discussed in terms of the operators typing skills. This model provides an understanding of the human process in command mode activity for computer systems and a foundation for relating system characteristics to operator characteristics.

Chafin, R. L.↗

User-programmer dialogue: Guidelines for designing menus and help files for interactive computer systems

This document is a set of guidelines to aid a programmer in making the various decisions necessary for a clear user-programmer dialogue. Its goal is to promote an effective and efficient transfer of information between programmer and user. These guidelines are divided into four sections: (1) Format, (2) Sequence, (3) Audience, and (4) Aim. Format, in terms of this study, means the spatial and structural presentation of information. Sequence deals with the procedural aspects of multiple panel displays. This section looks at the issues of timelines of presentation, modularization of information, and patterns of user behavior. Audience looks at the relationship among programmer, user, and message. It covers the issues of analyzing the audience's knowledge, attitudes, and needs, anticipating the audience's inferences, and identifying textual ambiguities. The programmer's aim or intention shows up in everything from tone to format. Aim considers the programmer's purpose.

Carlson, P. A.↗

An intelligent multi-media human-computer dialogue system

Sophisticated computer systems are being developed to assist in the human decision-making process for very complex tasks performed under stressful conditions. The human-computer interface is a critical factor in these systems. The human-computer interface should be simple and natural to use, require a minimal learning period, assist the user in accomplishing his task(s) with a minimum of distraction, present output in a form that best conveys information to the user, and reduce cognitive load for the user. In pursuit of this ideal, the Intelligent Multi-Media Interfaces project is devoted to the development of interface technology that integrates speech, natural language text, graphics, and pointing gestures for human-computer dialogues. The objective of the project is to develop interface technology that uses the media/modalities intelligently in a flexible, context-sensitive, and highly integrated manner modelled after the manner in which humans converse in simultaneous coordinated multiple modalities. As part of the project, a knowledge-based interface system, called CUBRICON (CUBRC Intelligent CONversationalist) is being developed as a research prototype. The application domain being used to drive the research is that of military tactical air control.

Neal, J. G.↗