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J E Bowie - One of the best experts on this subject based on the ideXlab platform.

  • applicability of Human reliability assessment methods to Human Computer Interfaces
    Cognition Technology & Work, 2013
    Co-Authors: E M Hickling, J E Bowie
    Abstract:

    The UK Office of Nuclear Regulation (ONR) has undertaken a Generic Design Assessment of two nuclear power station designs for prospective construction in the UK. This assessment included a review of the Human Reliability Assessments (HRAs) submitted as part of the probabilistic safety assessments (PSAs). Both reactor designs have Human---system Interfaces driven by digital technology. However, the data and methods for assessing Human error probability (HEP) pre-date such technology. Therefore, the ONR sought to establish whether existing HRA methods remain applicable to modern Human---interface interactions and hence continue to provide a credible insight into the risk contribution from Human error. An extensive literature review was undertaken to identify or derive relevant HEPs. Data have ranged from those associated with particular interface objects, plant start-ups and post-fault diagnoses. There appear to be some interesting paradoxes within the data explored in this paper. Based upon the data reviewed, it is concluded that existing Human reliability assessment methods are likely to be optimistic in their estimates of HEPs where diagnosis is involved or where process control is dependent on Human---Computer interaction. Shortfalls in the availability of published relevant data and the scope of existing HRA methods have been identified by this work.

  • Applicability of Human reliability assessment methods to Human–Computer Interfaces
    Cognition Technology & Work, 2013
    Co-Authors: E M Hickling, J E Bowie
    Abstract:

    The UK Office of Nuclear Regulation (ONR) has undertaken a Generic Design Assessment of two nuclear power station designs for prospective construction in the UK. This assessment included a review of the Human Reliability Assessments (HRAs) submitted as part of the probabilistic safety assessments (PSAs). Both reactor designs have Human–system Interfaces driven by digital technology. However, the data and methods for assessing Human error probability (HEP) pre-date such technology. Therefore, the ONR sought to establish whether existing HRA methods remain applicable to modern Human–interface interactions and hence continue to provide a credible insight into the risk contribution from Human error. An extensive literature review was undertaken to identify or derive relevant HEPs. Data have ranged from those associated with particular interface objects, plant start-ups and post-fault diagnoses. There appear to be some interesting paradoxes within the data explored in this paper. Based upon the data reviewed, it is concluded that existing Human reliability assessment methods are likely to be optimistic in their estimates of HEPs where diagnosis is involved or where process control is dependent on Human–Computer interaction. Shortfalls in the availability of published relevant data and the scope of existing HRA methods have been identified by this work.

  • Applicability of Human reliability assessment methods to Human–Computer Interfaces
    Cognition Technology & Work, 2013
    Co-Authors: E M Hickling, J E Bowie
    Abstract:

    The UK Office of Nuclear Regulation (ONR) has undertaken a Generic Design Assessment of two nuclear power station designs for prospective construction in the UK. This assessment included a review of the Human Reliability Assessments (HRAs) submitted as part of the probabilistic safety assessments (PSAs). Both reactor designs have Human–system Interfaces driven by digital technology. However, the data and methods for assessing Human error probability (HEP) pre-date such technology. Therefore, the ONR sought to establish whether existing HRA methods remain applicable to modern Human–interface interactions and hence continue to provide a credible insight into the risk contribution from Human error. An extensive literature review was undertaken to identify or derive relevant HEPs. Data have ranged from those associated with particular interface objects, plant start-ups and post-fault diagnoses. There appear to be some interesting paradoxes within the data explored in this paper. Based upon the data reviewed, it is concluded that existing Human reliability assessment methods are likely to be optimistic in their estimates of HEPs where diagnosis is involved or where process control is dependent on Human–Computer interaction. Shortfalls in the availability of published relevant data and the scope of existing HRA methods have been identified by this work.

E M Hickling - One of the best experts on this subject based on the ideXlab platform.

  • applicability of Human reliability assessment methods to Human Computer Interfaces
    Cognition Technology & Work, 2013
    Co-Authors: E M Hickling, J E Bowie
    Abstract:

    The UK Office of Nuclear Regulation (ONR) has undertaken a Generic Design Assessment of two nuclear power station designs for prospective construction in the UK. This assessment included a review of the Human Reliability Assessments (HRAs) submitted as part of the probabilistic safety assessments (PSAs). Both reactor designs have Human---system Interfaces driven by digital technology. However, the data and methods for assessing Human error probability (HEP) pre-date such technology. Therefore, the ONR sought to establish whether existing HRA methods remain applicable to modern Human---interface interactions and hence continue to provide a credible insight into the risk contribution from Human error. An extensive literature review was undertaken to identify or derive relevant HEPs. Data have ranged from those associated with particular interface objects, plant start-ups and post-fault diagnoses. There appear to be some interesting paradoxes within the data explored in this paper. Based upon the data reviewed, it is concluded that existing Human reliability assessment methods are likely to be optimistic in their estimates of HEPs where diagnosis is involved or where process control is dependent on Human---Computer interaction. Shortfalls in the availability of published relevant data and the scope of existing HRA methods have been identified by this work.

  • Applicability of Human reliability assessment methods to Human–Computer Interfaces
    Cognition Technology & Work, 2013
    Co-Authors: E M Hickling, J E Bowie
    Abstract:

    The UK Office of Nuclear Regulation (ONR) has undertaken a Generic Design Assessment of two nuclear power station designs for prospective construction in the UK. This assessment included a review of the Human Reliability Assessments (HRAs) submitted as part of the probabilistic safety assessments (PSAs). Both reactor designs have Human–system Interfaces driven by digital technology. However, the data and methods for assessing Human error probability (HEP) pre-date such technology. Therefore, the ONR sought to establish whether existing HRA methods remain applicable to modern Human–interface interactions and hence continue to provide a credible insight into the risk contribution from Human error. An extensive literature review was undertaken to identify or derive relevant HEPs. Data have ranged from those associated with particular interface objects, plant start-ups and post-fault diagnoses. There appear to be some interesting paradoxes within the data explored in this paper. Based upon the data reviewed, it is concluded that existing Human reliability assessment methods are likely to be optimistic in their estimates of HEPs where diagnosis is involved or where process control is dependent on Human–Computer interaction. Shortfalls in the availability of published relevant data and the scope of existing HRA methods have been identified by this work.

  • Applicability of Human reliability assessment methods to Human–Computer Interfaces
    Cognition Technology & Work, 2013
    Co-Authors: E M Hickling, J E Bowie
    Abstract:

    The UK Office of Nuclear Regulation (ONR) has undertaken a Generic Design Assessment of two nuclear power station designs for prospective construction in the UK. This assessment included a review of the Human Reliability Assessments (HRAs) submitted as part of the probabilistic safety assessments (PSAs). Both reactor designs have Human–system Interfaces driven by digital technology. However, the data and methods for assessing Human error probability (HEP) pre-date such technology. Therefore, the ONR sought to establish whether existing HRA methods remain applicable to modern Human–interface interactions and hence continue to provide a credible insight into the risk contribution from Human error. An extensive literature review was undertaken to identify or derive relevant HEPs. Data have ranged from those associated with particular interface objects, plant start-ups and post-fault diagnoses. There appear to be some interesting paradoxes within the data explored in this paper. Based upon the data reviewed, it is concluded that existing Human reliability assessment methods are likely to be optimistic in their estimates of HEPs where diagnosis is involved or where process control is dependent on Human–Computer interaction. Shortfalls in the availability of published relevant data and the scope of existing HRA methods have been identified by this work.

Justin Tantiongloc - One of the best experts on this subject based on the ideXlab platform.

  • Scalable Measure Transportation and Applications in Machine Learning and Human Computer Interfaces
    2018
    Co-Authors: Justin Tantiongloc
    Abstract:

    Author(s): Tantiongloc, Justin | Advisor(s): Coleman, Todd P. | Abstract: The field of optimal transportation is a broad area of theory pertaining to the computation of a mapping to transform one probability distribution into another. Many computational strategies solving the transport problem spanning decades of research have led to several interesting applications in areas such as statistics, economics, machine learning and Computer science. However, there also exist many limitations to these algorithms, including the ever-present difficulty of scaling to larger datasets, both with respect to dimension and number of available samples from which we would like to extract useful information. Furthermore, although we have seen a dramatic increase in the availability of powerful distributed computational resources throughout the past few decades, such as publicly available CPU clusters and GPU compute nodes, many modern algorithmic approaches to the transport problem are not specifically designed with parallelism in mind to accommodate such frameworks. In a world where the continuous interaction between Human users and distributed computational resources drives our technologically modern lives, this capability is critical, especially with applications that are expected to work in real-time.Building upon previous research from our group, this work investigates a parallelized, computational problem to create optimal transport maps that is designed with the notion of remote scalability in mind; this work focuses on a CUDA-based implementation of the framework that utilizes GPU computational resources to accommodate analysis of data in higher dimensions not often seen in the field of computational optimal transportation, and that furthermore scale with the availability of additional hardware. We will also present applications using this framework in several different areas of machine learning with an emphasis on Human-Computer Interfaces, including a novel multi-user brain-Computer interface, a classification problem pertaining to automated sleep-staging based on electroencephalographical (EEG) data, and an example of generative modeling using the MNIST dataset. Finally, we'll discuss a future direction for application of this framework to preference-based deep reinforcement learning.

  • an information and control framework for optimizing user compliant Human Computer Interfaces
    Proceedings of the IEEE, 2017
    Co-Authors: Justin Tantiongloc, Diego Mesa, Sanggyun Kim, Cristian H Alzate, Jaime J Camacho, Vidya Manian, Todd P Coleman
    Abstract:

    We consider a general framework for a Human–Computer interface whereby the Human's knowledge is represented as a point in Euclidean space, the intention of the Human is signaled to the Computer over a noisy channel, and the Computer queries the Human in a manner that is amenable to Human operation. With these constraints at hand, we demonstrate a class of systems that are nonetheless information-theoretically optimal in that the Computer very rapidly hones in on the intent of the Human. Much recent work on feedback information theory has been dedicated to the exploration of methods by which optimal feedback may be derived for the purpose of expediting the communication of a message point between an inanimate encoder and decoder. Our framework not only takes advantage of previous work to demonstrate its communication optimality from this perspective as well as from an information-theoretic perspective but also contributes two distinct advantages. First, our framework provides a simplified method based on optimal transport theory to generate optimal feedback signals between the Computer and Human in high dimension, while still preserving communication optimality. Second, our framework specifically lends itself to the integration of a Human user by attempting to moderate the difficulty of the task presented to the user, while still preserving optimality. We demonstrate applications of our framework within the context of multi-agent brain-Computer Interfaces.

S Kohlbecher - One of the best experts on this subject based on the ideXlab platform.

  • Human Computer Interfaces for interaction with surgical tools in robotic surgery
    IEEE International Conference on Biomedical Robotics and Biomechatronics, 2012
    Co-Authors: Christoph Staub, S Can, Brian Jensen, Alois Knoll, S Kohlbecher
    Abstract:

    The current trend toward robot assistants and the execution of autonomous tasks in minimally invasive surgery increases the operation complexity of telepresence systems. The available input channels are currently limited to traditional Human-Computer Interfaces. We introduce two Human-robot interfacing modalities that aim to make robotic surgery more intuitive. To reduce the surgeon's mental load, gaze-contingent camera control is implemented. Eye tracking is performed by means of head worn tracking goggles. The tracking goggles are tightly integrated with a stereoscopic visualization system, based on the polarization method. The second technique supports scrub nurses during surgical tool interaction, e.g. tool exchange, via haptic gestures executed on the robot. Strain-gauges sensors installed at the instrument are used to detect hand tapping sequences, which trigger activation of specified commands.

Marieluce Bourguet - One of the best experts on this subject based on the ideXlab platform.

  • towards a taxonomy of error handling strategies in recognition based multi modal Human Computer Interfaces
    Signal Processing, 2006
    Co-Authors: Marieluce Bourguet
    Abstract:

    In this paper, we survey the different types of error-handling strategies that have been described in the literature on recognition-based Human-Computer Interfaces. A wide range of strategies can be found in spoken Human-machine dialogues, handwriting systems, and multi-modal natural Interfaces. We then propose a taxonomy for classifying error-handling strategies that has the following three dimensions: the main actor in the error-handling process (machine versus user), the purpose of the strategy (error prevention, discovery, or correction), and the use of different modalities of interaction. The requirements that different error-handling strategies have on different sets of interaction modalities are also discussed. The main aim of this work is to establish a classification that can serve as a tool for understanding how to develop more efficient and more robust multi-modal Human-machine Interfaces.