Subjects -> ENGINEERING (Total: 2688 journals)
    - CHEMICAL ENGINEERING (229 journals)
    - CIVIL ENGINEERING (237 journals)
    - ELECTRICAL ENGINEERING (176 journals)
    - ENGINEERING (1325 journals)
    - ENGINEERING MECHANICS AND MATERIALS (452 journals)
    - HYDRAULIC ENGINEERING (56 journals)
    - INDUSTRIAL ENGINEERING (98 journals)
    - MECHANICAL ENGINEERING (115 journals)

ENGINEERING (1325 journals)            First | 1 2 3 4 5 6 7 | Last

Showing 201 - 400 of 1205 Journals sorted alphabetically
Concurrent Engineering     Hybrid Journal   (Followers: 3)
Continuum Mechanics and Thermodynamics     Hybrid Journal   (Followers: 8)
Control Engineering Practice     Hybrid Journal   (Followers: 46)
Control Theory and Informatics     Open Access   (Followers: 9)
Corrosion Science     Hybrid Journal   (Followers: 23)
CT&F - Ciencia, Tecnología y Futuro     Open Access  
CTheory     Open Access  
Current Applied Physics     Full-text available via subscription   (Followers: 4)
Current Applied Science and Technology     Open Access  
Current Journal of Applied Science and Technology     Open Access  
Current Research in Nanotechnology     Open Access   (Followers: 23)
Current Science     Open Access   (Followers: 115)
Dams and Reservoirs     Hybrid Journal   (Followers: 3)
Data-Centric Engineering     Open Access  
Decision Making : Applications in Management and Engineering     Open Access   (Followers: 1)
Design Journal : An International Journal for All Aspects of Design     Hybrid Journal   (Followers: 33)
Designed Monomers and Polymers     Open Access   (Followers: 1)
Designs     Open Access  
Designs, Codes and Cryptography     Hybrid Journal   (Followers: 7)
Development Engineering     Open Access   (Followers: 3)
Diálogos Interdisciplinares     Open Access  
Diffusion Foundations     Full-text available via subscription   (Followers: 4)
Digital Signal Processing     Hybrid Journal   (Followers: 34)
Dinamisia : Jurnal Pengabdian Kepada Masyarakat     Open Access  
Discrete Optimization     Full-text available via subscription   (Followers: 7)
Dokuz Eylül Üniversitesi Denizcilik Fakültesi Dergisi     Open Access  
Düzce Üniversitesi Bilim ve Teknoloji Dergisi / Duzce University Journal of Science & Technology     Open Access  
Dyes and Pigments     Hybrid Journal   (Followers: 1)
Dynamical Systems : An International Journal     Hybrid Journal  
E&S Engineering and Science     Open Access  
e-Phaïstos : Revue d’histoire des techniques / Journal of the history of technology     Open Access  
EAU Heritage Journal Science and Technology     Open Access   (Followers: 1)
El-Cezeri Fen ve Mühendislik Dergisi / El-Cezeri Journal of Science and Engineering     Open Access  
Electromagnetics     Hybrid Journal   (Followers: 13)
Electrophoresis     Hybrid Journal   (Followers: 18)
Elkawnie : Journal of Islamic Science and Technology     Open Access  
Emerging Science Journal     Open Access   (Followers: 1)
Emitter : International Journal of Engineering Technology     Open Access  
ENERGETIKA. Proceedings of CIS higher education institutions and power engineering associations     Open Access  
Energies     Open Access   (Followers: 4)
Energy and Power Engineering     Open Access   (Followers: 23)
Energy Conversion and Management     Hybrid Journal   (Followers: 15)
Energy Conversion and Management : X     Open Access   (Followers: 1)
Energy Engineering     Full-text available via subscription   (Followers: 8)
Energy for Sustainable Development     Hybrid Journal   (Followers: 13)
Energy Science & Engineering     Open Access   (Followers: 6)
Energy Science and Technology     Open Access   (Followers: 10)
Energy Sources, Part A: Recovery, Utilization, and Environmental Effects     Hybrid Journal   (Followers: 1)
Energy Sources, Part B: Economics, Planning, and Policy     Hybrid Journal   (Followers: 7)
Energy Systems     Hybrid Journal   (Followers: 11)
EnergyChem     Hybrid Journal   (Followers: 1)
Engenharia de Interesse Social     Open Access  
ENGEVISTA     Open Access  
Engineer : Journal of the Institution of Engineers, Sri Lanka     Open Access  
Engineering     Open Access   (Followers: 1)
Engineering & Technology     Hybrid Journal   (Followers: 22)
Engineering Analysis with Boundary Elements     Hybrid Journal   (Followers: 2)
Engineering Computations     Hybrid Journal   (Followers: 3)
Engineering Economics     Open Access   (Followers: 4)
Engineering Economist, The     Hybrid Journal   (Followers: 4)
Engineering Failure Analysis     Hybrid Journal   (Followers: 68)
Engineering Geology     Hybrid Journal   (Followers: 16)
Engineering Journal of Research and Development     Open Access  
Engineering Management in Production and Services     Open Access  
Engineering Management Research     Open Access   (Followers: 6)
Engineering Optimization     Hybrid Journal   (Followers: 19)
Engineering Reports     Open Access  
Engineering Science and Technology, an International Journal     Open Access   (Followers: 1)
Engineering Sciences     Open Access  
Engineering Studies     Hybrid Journal   (Followers: 1)
Engineering With Computers     Hybrid Journal   (Followers: 5)
Engineering, Technology & Applied Science Research     Open Access   (Followers: 1)
ENP Engineering Science Journal     Open Access  
Entramado     Open Access  
Entre Ciencia e Ingeniería     Open Access  
Entropy     Open Access   (Followers: 5)
Environmental & Engineering Geoscience     Full-text available via subscription   (Followers: 5)
Environmental and Ecological Statistics     Hybrid Journal   (Followers: 7)
Environmetrics     Hybrid Journal  
Épités - Épitészettudomány     Full-text available via subscription   (Followers: 1)
EPJ Photovoltaics     Open Access   (Followers: 2)
Ergonomics in Design: The Quarterly of Human Factors Applications     Hybrid Journal   (Followers: 21)
ESAIM: Control Optimisation and Calculus of Variations     Open Access   (Followers: 2)
ESAIM: Mathematical Modelling and Numerical Analysis     Open Access   (Followers: 5)
ESAIM: Proceedings     Open Access  
eScience     Open Access   (Followers: 1)
Estuaries and Coasts     Hybrid Journal   (Followers: 22)
EUREKA : Physics and Engineering     Open Access  
Euro-Mediterranean Journal for Environmental Integration     Hybrid Journal  
European Journal of Combinatorics     Full-text available via subscription   (Followers: 3)
European Journal of Engineering Education     Hybrid Journal   (Followers: 9)
European Journal of Lipid Science and Technology     Hybrid Journal   (Followers: 1)
European Journal of Mass Spectrometry     Hybrid Journal   (Followers: 16)
European Physical Journal - Applied Physics     Full-text available via subscription   (Followers: 19)
European Transport Research Review     Open Access   (Followers: 22)
Evolutionary Intelligence     Hybrid Journal   (Followers: 2)
Evolving Systems     Hybrid Journal  
Experimental and Computational Multiphase Flow     Hybrid Journal  
Experimental Techniques     Hybrid Journal   (Followers: 51)
Experiments in Fluids     Hybrid Journal   (Followers: 17)
Farm Engineering and Automation Technology Journal     Open Access  
Fibers and Polymers     Full-text available via subscription   (Followers: 4)
FIGEMPA : Investigación y Desarrollo     Open Access   (Followers: 1)
Filtration & Separation     Full-text available via subscription   (Followers: 4)
Finite Fields and Their Applications     Full-text available via subscription   (Followers: 5)
Fırat University Turkish Journal of Science & Technology     Open Access  
Fire Science Reviews     Open Access   (Followers: 12)
Flexible Services and Manufacturing Journal     Hybrid Journal   (Followers: 2)
Flow, Turbulence and Combustion     Hybrid Journal   (Followers: 30)
Fluid Dynamics     Hybrid Journal   (Followers: 27)
Fluid Phase Equilibria     Hybrid Journal   (Followers: 4)
Focus on Catalysts     Full-text available via subscription  
Focus on Pigments     Full-text available via subscription   (Followers: 3)
Focus on Powder Coatings     Full-text available via subscription   (Followers: 5)
Focus on Surfactants     Full-text available via subscription   (Followers: 2)
Food Engineering Reviews     Hybrid Journal   (Followers: 2)
Food Science and Technology     Open Access   (Followers: 2)
Forces in Mechanics     Open Access   (Followers: 2)
Formación Universitaria     Open Access   (Followers: 4)
FORMakademisk - forskningstidsskrift for design og designdidaktikk     Open Access   (Followers: 2)
Formal Methods in System Design     Hybrid Journal   (Followers: 6)
Forschung     Hybrid Journal   (Followers: 1)
Forschung im Ingenieurwesen     Hybrid Journal  
Foundations and Trends in Systems and Control     Full-text available via subscription   (Followers: 4)
Foundations and Trends® in Communications and Information Theory     Full-text available via subscription   (Followers: 6)
Foundations and Trends® in Electronic Design Automation     Full-text available via subscription   (Followers: 1)
Foundations of Science     Hybrid Journal   (Followers: 1)
Frontiers in Aerospace Engineering     Open Access   (Followers: 20)
Frontiers in Energy     Hybrid Journal   (Followers: 4)
Frontiers in Nanotechnology     Open Access   (Followers: 1)
Frontiers of Environmental Science & Engineering     Hybrid Journal   (Followers: 3)
Fuel and Energy Abstracts     Full-text available via subscription   (Followers: 7)
Fuel Cells     Hybrid Journal   (Followers: 8)
Fuel Cells Bulletin     Full-text available via subscription   (Followers: 9)
Fusion Engineering and Design     Hybrid Journal   (Followers: 6)
Fuzzy Information and Engineering     Open Access   (Followers: 2)
Fuzzy Sets and Systems     Hybrid Journal   (Followers: 3)
Georisk: Assessment and Management of Risk for Engineered Systems and Geohazards     Hybrid Journal   (Followers: 8)
Géotechnique     Hybrid Journal   (Followers: 27)
Geothermics     Hybrid Journal   (Followers: 7)
Glass Technology - European Journal of Glass Science and Technology Part A     Full-text available via subscription   (Followers: 1)
Global Journal of Engineering Research     Full-text available via subscription  
Global Transitions Proceedings     Open Access  
GPS Solutions     Hybrid Journal   (Followers: 28)
Graphs and Combinatorics     Hybrid Journal   (Followers: 4)
Grass and Forage Science     Hybrid Journal   (Followers: 4)
Groundwater for Sustainable Development     Full-text available via subscription   (Followers: 5)
Heat Transfer - Asian Research     Hybrid Journal   (Followers: 10)
Heat Transfer Engineering     Hybrid Journal   (Followers: 36)
Heat Treatment and Surface Engineering     Open Access  
High Voltage     Open Access  
Himalayan Journal of Science and Technology     Open Access  
Historical Records of Australian Science     Hybrid Journal   (Followers: 2)
Human Behavior and Emerging Technologies     Hybrid Journal   (Followers: 1)
Human Factors in Ergonomics & Manufacturing     Hybrid Journal   (Followers: 12)
Human-Intelligent Systems Integration     Hybrid Journal  
I+D Revista de Investigaciones     Open Access  
IBM Journal of Research and Development     Hybrid Journal   (Followers: 16)
IEEE Antennas and Propagation Magazine     Hybrid Journal   (Followers: 112)
IEEE Antennas and Wireless Propagation Letters     Hybrid Journal   (Followers: 88)
IEEE Communications Magazine     Full-text available via subscription   (Followers: 139)
IEEE Embedded Systems Letters     Hybrid Journal   (Followers: 60)
IEEE Engineering Management Review     Full-text available via subscription   (Followers: 117)
IEEE Geoscience and Remote Sensing Letters     Hybrid Journal   (Followers: 148)
IEEE Geoscience and Remote Sensing Magazine     Hybrid Journal   (Followers: 6)
IEEE Industry Applications Magazine     Full-text available via subscription   (Followers: 82)
IEEE Instrumentation & Measurement Magazine     Hybrid Journal   (Followers: 148)
IEEE Journal of Biomedical and Health Informatics     Hybrid Journal   (Followers: 14)
IEEE Journal of Oceanic Engineering     Hybrid Journal   (Followers: 11)
IEEE Journal of Selected Topics in Quantum Electronics     Hybrid Journal   (Followers: 7)
IEEE Journal of Selected Topics in Signal Processing     Hybrid Journal   (Followers: 43)
IEEE Journal of Solid-State Circuits     Full-text available via subscription   (Followers: 24)
IEEE Journal on Selected Areas in Communications     Hybrid Journal   (Followers: 39)
IEEE Latin America Transactions     Full-text available via subscription   (Followers: 2)
IEEE Magnetics Letters     Hybrid Journal   (Followers: 7)
IEEE Microwave and Wireless Components Letters     Hybrid Journal   (Followers: 35)
IEEE Microwave Magazine     Full-text available via subscription   (Followers: 63)
IEEE Nanotechnology Magazine     Hybrid Journal   (Followers: 45)
IEEE Open Journal of Engineering in Medicine and Biology     Open Access   (Followers: 1)
IEEE Open Journal of Nanotechnology     Open Access   (Followers: 1)
IEEE Potentials     Full-text available via subscription   (Followers: 42)
IEEE Reviews in Biomedical Engineering     Hybrid Journal   (Followers: 19)
IEEE Signal Processing Letters     Hybrid Journal   (Followers: 60)
IEEE Solid-State Circuits Magazine     Hybrid Journal   (Followers: 11)
IEEE Spectrum     Full-text available via subscription   (Followers: 219)
IEEE Technology and Society Magazine     Full-text available via subscription   (Followers: 8)
IEEE Transactions on Advanced Packaging     Full-text available via subscription   (Followers: 8)
IEEE Transactions on Antennas and Propagation     Full-text available via subscription   (Followers: 78)
IEEE Transactions on Applied Superconductivity     Hybrid Journal   (Followers: 5)
IEEE Transactions on Automation Science and Engineering     Full-text available via subscription   (Followers: 13)
IEEE Transactions on Autonomous Mental Development     Hybrid Journal   (Followers: 8)
IEEE Transactions on Biomedical Engineering     Hybrid Journal   (Followers: 35)
IEEE Transactions on Broadcasting     Hybrid Journal   (Followers: 11)
IEEE Transactions on Circuits and Systems II: Express Briefs     Hybrid Journal   (Followers: 20)
IEEE Transactions on Components and Packaging Technologies     Full-text available via subscription   (Followers: 17)
IEEE Transactions on Control Systems Technology     Hybrid Journal   (Followers: 111)
IEEE Transactions on Education     Hybrid Journal   (Followers: 11)
IEEE Transactions on Electronics Packaging Manufacturing     Hybrid Journal   (Followers: 21)
IEEE Transactions on Energy Conversion     Hybrid Journal   (Followers: 16)
IEEE Transactions on Engineering Management     Hybrid Journal   (Followers: 74)

  First | 1 2 3 4 5 6 7 | Last

Similar Journals
Journal Cover
Human-Intelligent Systems Integration
Number of Followers: 0  
 
  Hybrid Journal Hybrid journal (It can contain Open Access articles)
ISSN (Print) 2524-4876 - ISSN (Online) 2524-4884
Published by Springer-Verlag Homepage  [2469 journals]
  • Recognition and analysis of kawaii style for fashion clothing through deep
           learning

    • Free pre-print version: Loading...

      Abstract: Abstract With the popularity of Japanese products and kawaii culture in China, understanding how the Chinese perceive kawaii style will help to satisfy their emotional needs in product design. To overcome the problems of expansion difficulty and low efficiency due to expert dependence on traditional methods, this study combines deep learning and Kansei engineering to recognize and analyze the kawaii style by taking female fashion clothing as an example. We build a perceptual annotation database containing 7000 female fashion pictures, each of which has 8 valid kawaii scores labeled by participants, with 4 scores from men and 4 scores from women. Then, we train two neural models and obtain a classification network (kawaii vs. non-kawaii) with 84.45% accuracy and a regression network (the value of kawaii) with an average error of 0.42 points. These recognition models perform better than manual recognition for the kawaii style. In addition, to analyze the kawaii formation of female fashion clothing, we detect the design features of kawaii styles, non-kawaii styles, and gender differences using the neuron analysis method and summarize the corresponding design elements. Finally, using three exploratory experiments, we extend the models to similar products, different types of products, and different visual styles. Overall, we apply deep learning to achieve automatic support in the product design of the kawaii style without the reliance on experts and intensive labor.
      PubDate: 2022-05-04
       
  • A unified view of a human digital twin

    • Free pre-print version: Loading...

      Abstract: Abstract The term human digital twin has recently been applied in many domains, including medical and manufacturing. This term extends the digital twin concept, which has been illustrated to provide enhanced system performance as it combines system models and analyses with real-time measurements for an individual system to improve system maintenance. Human digital twins have the potential to change the practice of human system integration as these systems employ real-time sensing and feedback to tightly couple measurements of human performance, behavior, and environmental influences throughout a product’s life cycle to human models to improve system design and performance. However, as this concept is relatively new, the literature lacks inclusive and precise definitions of this concept. The current research reviews the literature on human digital twins to provide a generalized structure of these systems, provide definitions of a human digital twin and human digital twin system, and review the potential applications of these systems within product design, development, and sustainment. This review of the existing literature suggests that components of human models sufficient to provide robust human digital twins are likely to be derived across multiple fields of study. Thus, development of these systems would benefit an open multi-disciplinary research effort.
      PubDate: 2022-03-12
       
  • Chronic kidney disease: a prediction and comparison of ensemble and basic
           classifiers performance

    • Free pre-print version: Loading...

      Abstract: Abstract Artificial intelligence (AI) technology can be used to predict future value, especially for the healthcare industry. With the improvement of AI promotion strategies (bringing exploration in different fields), it is not difficult to predict certain advances. This article describes the use of AI in patients with kidney disease, such as chronic kidney disease (ckd) or patients without kidney disease (notckd). Five basic machine learning (ML) classifiers were used, and the confusion matrix and ROC curve were used to check their accuracy. The ensemble method is also used to extract the accuracy rate through the four ensemble classifiers, and confirm it through the confusion matrix, accuracy rate, recall rate, F1 score, and support value. Finally, the accuracy results obtained by the basic classifier and the ensemble classifier are analyzed. The accuracy result obtained by the ensemble classifier is higher than that of the essential classifier. The overall framework can be seen as a better ensemble method than basic classifiers. It is smarter to respond differently to a query that we come to a single choice, so in order to accomplish the decisive goal, ensemble method is better than some other well-known programs.
      PubDate: 2022-02-09
      DOI: 10.1007/s42454-022-00040-y
       
  • Correction to: Explainable artificial intelligence (XAI) interactively
           working with humans as a junior cyber analyst

    • Free pre-print version: Loading...

      PubDate: 2021-12-01
      DOI: 10.1007/s42454-021-00039-x
       
  • Enhancing human-machine teaming for medical prognosis through neural
           ordinary differential equations (NODEs)

    • Free pre-print version: Loading...

      Abstract: Abstract Machine learning (ML) has recently been demonstrated to rival expert-level human accuracy in prediction and detection tasks in a variety of domains, including medicine. Despite these impressive findings, however, a key barrier to the full realization of ML’s potential in medical prognoses is technology acceptance. Recent efforts to produce explainable AI (XAI) have made progress in improving the interpretability of some ML models, but these efforts suffer from limitations intrinsic to their design: they work best at identifying why a system fails, but do poorly at explaining when and why a model’s prediction is correct. We posit that the acceptability of ML predictions in expert domains is limited by two key factors: the machine’s horizon of prediction that extends beyond human capability, and the inability for machine predictions to incorporate human intuition into their models. We propose the use of a novel ML architecture, Neural Ordinary Differential Equations (NODEs) to enhance human understanding and encourage acceptability. Our approach prioritizes human cognitive intuition at the center of the algorithm design, and offers a distribution of predictions rather than single outputs. We explain how this approach may significantly improve human-machine collaboration in prediction tasks in expert domains such as medical prognoses. We propose a model and demonstrate, by expanding a concrete example from the literature, how our model advances the vision of future hybrid human-AI systems.
      PubDate: 2021-10-08
      DOI: 10.1007/s42454-021-00037-z
       
  • Effects of increased cognitive load on field of view in multi-task
           operations involving surveillance

    • Free pre-print version: Loading...

      Abstract: Abstract Many multi-task operations require human operators to simultaneously perform visual surveillance and a secondary task. As the trend in the technological advancement of surveillance systems indicates high likelihood of heavy interdependence between human and technology in the foreseeable future, it is paramount to venture beyond the context of driving, an area where similar research is saturated in, and investigate the functional field of view (FFoV) of multi-tasking human operators in other operations involving surveillance. In the present study, we investigated the effects of multi-tasking and stimulus parameters (size and contrast) on the response accuracy and response time for identifying visual targets appearing within one’s visual field. Mixed analyses of variance revealed that only response time was negatively affected by multi-tasking, while both response accuracy and response time deteriorated as either the size or contrast of the visual targets decreased. In addition, a significant interaction effect between the investigated parameters of the visual target on response accuracy implies the need for multi-task operations involving surveillance to consider such and future findings critically as they evolve their technology and systems to aid the human operators. The current findings provide insights for surveillance and air traffic control (ATC) operations in future studies.
      PubDate: 2021-09-29
      DOI: 10.1007/s42454-021-00038-y
       
  • Hume’s guillotine and intelligent technologies

    • Free pre-print version: Loading...

      Abstract: Abstract Emerging intelligent society shall change the way people are organised around their work and consequently also as a society. One approach to investigating intelligent systems and their social influence is information processing. Intelligence is information processing. However, factual and ethical information are different. Facts concern true vs. false, while ethics is about what should be done. David Hume recognised a fundamental problem in this respect, which is that facts can be used to derive values. His answer was negative, which is critical for developing intelligent ethical technologies. Hume’s problem is not crucial when values can be assigned to technologies, i.e. weak ethical artificial intelligence (AI), but it is hard when we speak of strong ethical AI, which should generate values from facts. However, this paper argues that Hume’s aporia is grounded on a mistaken juxtaposition of emotions and cognition. In the human mind, all experiences are based on the cooperation of emotions and cognitions. Therefore, Hume’s guillotine is not a real obstacle, but it is possible to use stronger forms of ethical AI to develop new ethics for intelligent society.
      PubDate: 2021-09-01
      DOI: 10.1007/s42454-021-00035-1
       
  • Experimental evaluation of tasking and teaming design patterns for human
           delegation of unmanned vehicles

    • Free pre-print version: Loading...

      Abstract: Abstract This work discusses different approaches for the cooperation between humans as a supervisor and multiple unmanned vehicles (UVs). We evaluated the most promising approach experimentally with expert pilots of the German Air Force. The co-agency of humans and highly automated unmanned systems (i.e., human autonomy teaming, HAT) is described by the use of a design and description language for HAT design patterns. This design language is used to differentiate control modes for tasking, teaming, and swarming of UVs. The different control modes are then combined in a planner agent (PA) design pattern that further enables the UV guidance on scalable delegation levels from a single individual up to a team. The desired system behavior and interaction concept of the PA for these scalable delegation levels is then transferred to the domain of manned-unmanned teaming in fighter aircraft missions. To demonstrate the applicability of the system, we implemented the concept into our fast-jet simulator of the Institute of Flight Systems (IFS) and conducted an experimental campaign with expert pilots. The results of the experiment showed (1) task delegation with the PA design pattern is faster and reduces the error potential; (2) scalable delegation levels enable a pilot and situation-specific task delegation; (3) the delegation of teams is faster and reduces the error potential; however, in some situations, deeper access through the scalable delegation levels is needed; (4) the concept is intuitive and the transparency and trust in UVs and swarms were very high; and (5) the pilots could imagine operating such systems in the future. Overall speaking the presented PA design pattern is suited for the guidance of UVs and the scalable delegation levels are beneficial.
      PubDate: 2021-09-01
      DOI: 10.1007/s42454-021-00036-0
       
  • Application of systemic-structural activity theory to the design of BOTs
           and AI software

    • Free pre-print version: Loading...

      Abstract: Abstract Today, artificial intelligence (AI) and BOTs (build–operate–transfer) transform our individual lives and businesses. Some authors even claim that this is the era of intelligence in machines. AI and BOTs are developed to mimic various human behaviors. The Systemic-Structural Activity Theory (SSAT) is the framework that offers numerous methods of analyzing and optimizing human performance and reducing the number of errors. This paper focuses on how the SSAT methodology can be utilized to develop AI and BOTs. The SSAT analysis of the tasks, their design, and testing can be improved via building a human algorithm of the task performance. Such analysis allows users to choose the most efficient method of task performance that can then be applied to the development of an AI or a BOT. This paper discusses the examples of BOT development and demonstrates the capabilities, utilization, and future applications of the SSAT framework.
      PubDate: 2021-09-01
      DOI: 10.1007/s42454-021-00027-1
       
  • The iconography of vehicle automation—a focus group study

    • Free pre-print version: Loading...

      Abstract: Abstract SAE level 2 and 3 semi-autonomous vehicles are widely available but, due to the nature of automation, their in-vehicle displays are required to communicate more complex information to the driver. Examination of interfaces from a variety of manufacturers revealed a clear lack of consistency in the way key information is displayed. Different manufacturers have adopted icons varying in shape and colour to convey the same message. When driving a semi-autonomous vehicle, mode awareness is critical for trust, performance and safety. Standardisation of icons has been shown to have many benefits including opening products up to wider international markets by helping overcome language and cultural barriers, by providing a method of communication which can surpass them. However, the current lack of standardisation in icon design could cause mode confusion and has little cross-vehicle compatibility. To understand the impact of mode confusion on users, a focus group was held in which participants were asked to interpret the meaning of icons from a variety of different driver interfaces. Ambiguity in user interpretations makes the case for the introduction of new ISO standard icons to better support drivers in SAE level 2 and 3 automated vehicles.
      PubDate: 2021-09-01
      DOI: 10.1007/s42454-021-00034-2
       
  • Special issue on “Human-Autonomy Teaming in Military Contexts”

    • Free pre-print version: Loading...

      PubDate: 2021-06-16
      DOI: 10.1007/s42454-021-00032-4
       
  • Enabling human-autonomy teaming with multi-unmanned vehicle control
           interfaces

    • Free pre-print version: Loading...

      Abstract: Abstract Human-autonomy teaming is essential for future military operations, but guidance on how to design controls and displays to support joint decision-making and task completion is scarce. Transportation planning experts, drawing from their design experience, recently compiled questions that they postulated would be useful to guide human-autonomy interaction designs for other domains. To explore their generalizability, these questions were employed as a framework for describing the human-autonomy teaming interfaces developed for an implemented prototype military multi-unmanned vehicle (UV) control station. This process demonstrated that the proposed questions indeed address pertinent UV control station requirements. Their “situation driver” questions are aligned with the station’s expanded play-based adaptable automation approach, whereby a wide spectrum of control from manual to fully autonomous can be flexibly applied across UVs/mission tasks to enable shared human-autonomy workload. Their questions regarding “visualizations and control mechanisms” would have likely led to the UV station’s design that features pictorial icons to present actionable concise information in an integrated manner and intuitively support calling UV management plays. Finally, the questions addressing autonomy’s “solution generation and presentation” are correlated to the prototype’s interfaces for presenting multiple courses of action and ongoing play status. Thus, the questions inspired by military airlift planning should also be useful for human-autonomy interface design for the UV command and control domain. Suggested enhancements to the question set are provided as well as detailed recommendations on research needed to extend the human-autonomy teaming interfaces to better support bi-directional communication and directability in more complex, collaborative UV missions.
      PubDate: 2021-06-01
      DOI: 10.1007/s42454-020-00020-0
       
  • Workload-adaptive and task-specific support for cockpit crews: design and
           evaluation of an adaptive associate system

    • Free pre-print version: Loading...

      Abstract: Abstract This article describes and validates a concept of a workload-adaptive and task-specific associate system for military helicopter crews. We introduce a cognitive agent that behaves like an additional, artificial crew member. It adapts the extent of support by identifying the current and future task situation and workload of the crew. By choosing different intervention strategies, the associate system dynamically changes the task sharing between the crew and automation. We implemented the associate system into a helicopter simulator. The system supports helicopter pilots during Manned-Unmanned Teaming missions, where the crew of a manned helicopter operates several unmanned aircraft from the cockpit. To evaluate the prototype, we conducted a pilot-in-the-loop campaign and analyzed situations where the association system prevents or corrects human error.
      PubDate: 2021-06-01
      DOI: 10.1007/s42454-020-00018-8
       
  • Approaches for assessing communication in human-autonomy teams

    • Free pre-print version: Loading...

      Abstract: Abstract Evaluation of team communication can provide critical insights into team dynamics, cohesion, trust, and performance on joint tasks. Although many communication-based measures have been tested and validated for human teams, this review article extends this research by identifying key approaches specific to human-autonomy teams. It is not possible to identify all approaches for all situations, though the following seem to generalize and support multi-size teams and a variety of military operations. Therefore, this article will outline several key approaches to assessing communication, associated data requirements, example applications, verification of methods through HAT use cases, and lessons learned, where applicable. Some approaches are based on the structure of team communication; others draw from dynamical systems theory to consider perspectives across different timescales; other approaches leverage features of team members’ voices or facial expressions to detect emotional states that can provide windows into other workings of the team; still others consider the content of communication to produce insights. Taken together, these approaches comprise a varied toolkit for deriving critical information about how team interactions affect, and are affected by, coordination, trust, cohesion, and performance outcomes. Future research directions describe four critical areas for further study of communication in human-autonomy teams.
      PubDate: 2021-06-01
      DOI: 10.1007/s42454-021-00026-2
       
  • Correction to: Multi-modal physiological sensing approach for
           distinguishing high workload events in remotely piloted aircraft
           simulation

    • Free pre-print version: Loading...

      Abstract: Abstract Remotely piloted aircraft (RPA) operations are often characterized as highly taxing and dynamic. Physiological sensing tech- nology can enhance personnel monitoring and training for these high-stress environments; however, work assessing the effec- tiveness of physiological sensors during RPA operations is limited. The proposed work tests two hypotheses: (1) physiological sensors can distinguish operator workload between scenario difficulty levels, and (2) the sensors can quantify the impact of RPA events on the operator workload. Twelve pilots completed RPA simulations at all three difficulty levels while physiological sensors collected electroencephalogram (EEG) and heart rate activity. Hypotheses were tested using mixed-effects models. Observed heart rate variability metrics did not differ among the three scenario difficulty levels except for LF/HF ratio. A 47% and 57% reduction in alpha band power was observed between easy and hard difficulty levels for the frontal and parietal channels, respectively. Abort and Reach objective events resulted in 0.2–0.3 dB lower beta activity and 66 ms increased heart rate, while losing sight of the objective (e.g., fog) had 0.72 dB increased high beta activity. Different physiological modalities (EEG and ECG) had varying effectiveness in distinguishing scenario difficulty and RPA events, suggesting a hybrid sensing approach may provide more insight than just using one modality. In conclusion, physiological sensing can distinguish operator response to scenario difficulty and events in high-fidelity RPA simulations.
      PubDate: 2021-06-01
      DOI: 10.1007/s42454-021-00033-3
       
  • IMPACTS: a trust model for human-autonomy teaming

    • Free pre-print version: Loading...

      Abstract: Abstract A trust model IMPACTS (intention, measurability, performance, adaptivity, communication, transparency, and security) has been conceptualized to build human trust in autonomous systems. A system must exhibit the seven critical characteristics to gain and maintain its human partner’s trust towards an effective and collaborative team in achieving common goals. The IMPACTS model guided a design of an intelligent adaptive decision aid for dynamic target engagement processes in a human-autonomy interaction context. Positive feedback from subject matter experts who participated in a large-scale exercise controlling multiple unmanned assets indicated the decision aid’s effectiveness. It also demonstrated the IMPACTS model’s utility as a design principle for enabling trust between a human-autonomy team.
      PubDate: 2021-06-01
      DOI: 10.1007/s42454-020-00023-x
       
  • Human-machine teaming: Evaluating dimensions using narratives

    • Free pre-print version: Loading...

      Abstract: Abstract The current study examined potential dimensions of human-machine teaming as they related to teammate perceptions. Prior research has postulated that 6 facets of autonomous agent teammate-likeness (AAT) are the key factors in shaping teaming perceptions of technology. Using a narrative approach, participants (N = 300) viewed one of two descriptions created to characterize a high or low teaming technology. Following the narrative, participants responded to psychosocial scales aiming to assess teaming perceptions, commitment to the technology, and the 6 facets of AAT. Results demonstrated that all of the scales were reliable, and all but one scale was reported as higher in the high-teaming narrative condition, as expected. Unexpectedly, there were no differences in the interdependence scale between the two narrative conditions. Using linear regression, the current study also examined the unique relationships between the AAT facets and both teaming perceptions and commitment to the technology. For teaming perceptions, interdependence (higher), synchrony (lower), and team focus (higher) were uniquely related to teaming perceptions. For commitment to the technology, communication richness, interdependence, and team focus were all uniquely related to higher commitment. Implications for the human-machine teams are discussed herein.
      PubDate: 2021-06-01
      DOI: 10.1007/s42454-020-00019-7
       
  • Explainable artificial intelligence (XAI) interactively working with
           humans as a junior cyber analyst

    • Free pre-print version: Loading...

      Abstract: Abstract There are many applications where artificial intelligence (AI) can add a benefit, but this benefit may not be fully realized, if the human cannot understand and interact with the output as required by their context. Allowing AI to explain its decisions can potentially mitigate this issue. To develop effective explainable AI methods to support this need, we need to understand both what the human needs for decision-making, as well as what information the AI has and can make available. This paper presents an example case of capturing those requirements. We explore how an operational planner (senior human analyst) for a cyber protection team could use a junior analyst virtual agent to scour, analyze, and present the data available on vulnerabilities and incidents on both the target systems as well as similar systems. We explore the interactions required to understand these outputs and to integrate additional knowledge held by the human. This is an exemplar case for integrating XAI into the real-world bi-directional workflow: the senior analyst needs to be able to understand the junior analysts results, particularly the assumptions and implications, in order to create a plan and brief it up the command chain. He or she may have further questions, or analysis needs to achieve this understanding. The application is the junior analyst agent and senior human analysts working together to create this understanding of threats, vulnerabilities, incidents, likely future attacks, and counteractions on the mission relevant cyber terrain that their unit has been assigned a mission on.
      PubDate: 2021-06-01
      DOI: 10.1007/s42454-020-00021-z
       
  • Autonomous recommender system for reconnaissance tasks using a swarm of
           UAVs and asynchronous shepherding

    • Free pre-print version: Loading...

      Abstract: Abstract Several artificial intelligence-based systems have been proposed to help human operators in safety-critical domains such as air-traffic control systems, health and farming. In scenarios where multiple autonomous systems are utilised, the cognitive capacity of humans hits its limits quickly, and sometimes the success of these systems is obstructed. Designing systems to sustain human performance over longer periods through balancing the load between human operators and autonomous systems can reduce errors and improve overall performance. Future human-autonomy systems need to be designed in a way that makes them scalable in terms of capabilities and safety, yet flexible enough to adapt to the cognitive workload of human operators. In this paper, we propose an adaptive human swarm interaction system for maintaining human operator performance in supervisory-control aerial-surveillance tasks. A bio-inspired guidance and control shepherding agent is proposed to support the human operator to guide multiple assets simultaneously using a single point of control. The proposed system employs an adjustable autonomous recommender system to provide the human operator with timely recommendations in real-time sittings. The proposed system is designed in a flexible way that allows it to adapt its rate of providing these recommendations in response to the needs of human operators. Simulation-based experiments are conducted to validate and evaluate the proposed recommender system. Experimental results demonstrate the effectiveness and efficiency of the proposed recommender system in minimising control errors while maintaining low computational costs that allow it to be used in a real-time applications.
      PubDate: 2021-06-01
      DOI: 10.1007/s42454-020-00024-w
       
  • Shared and traded control for human-automation interaction: a haptic
           steering controller and a visual interface

    • Free pre-print version: Loading...

      Abstract: Abstract Automated and highly automated vehicles still need to interact with the driver at different cognitive levels. Those who are SAE level 1 or 2 consider the human in the loop all the time and require strong participation of the driver at the control level. Yet, to increase safety, trust, and driver comfort with this mode of automation, systems with a strong cooperative component are needed. In this sense, this paper introduces the design of a vehicle controller based on shared control, together with an arbitration system, and the design of a visual human-machine interface (HMI) to foster the mutual understanding between driver and automation while sharing driving task. The driver-automation cooperation is achieved through incremental support, in a continuum spectrum from manual to full automation. Additionally, the design of an HMI to support the driver in a takeover maneuver is presented, considering that this functionality is a key component of vehicle SAE levels 3 and 4. The work presented in this paper represents the latest advances in the integration being carried out within the framework of the PRYSTINE project.
      PubDate: 2021-03-01
      DOI: 10.1007/s42454-021-00030-6
       
 
JournalTOCs
School of Mathematical and Computer Sciences
Heriot-Watt University
Edinburgh, EH14 4AS, UK
Email: journaltocs@hw.ac.uk
Tel: +00 44 (0)131 4513762
 


Your IP address: 3.235.24.113
 
Home (Search)
API
About JournalTOCs
News (blog, publications)
JournalTOCs on Twitter   JournalTOCs on Facebook

JournalTOCs © 2009-