This standard addresses recognizable audio and visual markers that assist humans in distinguishing communication with a human, a machine, or a combination of both. Therefore, the standard defines visual, textual, and auditory marks. This standard does not cover methods to determine whether an interaction is with a machine, such as Turing tests.
This document provides guidance for evaluating human-system performance related to systems, equipment, and facilities in nuclear power generating stations. It summarizes specific evaluation techniques and presents rationale for their applications within the integrated systems approach to plant design, operations, and maintenance described in IEEE Std 1023.
This standard defines deep learning-based metrics of content analysis and quality of experience (QoE) assessment for visual contents, which is an extension of the standard for the QoE and visual-comfort assessments of three-dimensional (3D) contents based on psychophysical studies (IEEE Std 3333.1.1) and the standard for the perceptual quality assessment of 3D and ultra-high definition (UHD) contents (IEEE Std 3333.1.2). The scope covers the following. * Deep learning models for QoE assessment (… read more multilayer perceptrons, convolutional neural networks, deep generative models) * Deep metrics of visual experience from High Definition (HD), UHD, 3D, High Dynamic Range (HDR), Virtual Reality (VR) and Mixed Reality (MR) contents * Deep analysis of clinical (electroencephalogram (EEG), electrocardiogram (ECG), electrooculography (EOG), and so on) and psychophysical (subjective test and simulator sickness questionnaire (SSQ)) data for QoE assessment * Deep personalized preference assessment of visual contents * Building image and video databases for performance benchmarking purpose if necessary read less
This recommended practice provides specific and contextual well-being metrics that facilitate the use of a Well-Being Impact Assessment (WIA) process in order to proactively increase and help safeguard human well-being throughout the lifecycle of autonomous and intelligent systems (A/IS).
This document provides human factors engineering guidance for the validation of the system interface design and the integrated systems operations. This guidance identifies general validation principles and provides acceptable means to: - Define methods - Plan and conduct validation activities - Conduct single or multi-staged validation
Develop safety levels for human exposure to electromagnetic fields from 0 to 3kHz. This standard will be based on the results of an evaluation of the relevant scientific literature and proven effects which are well established and for which thresholds of reaction are understood. Field limits will be derived from threshold current densities or internal electric fields.
This document provides guidance for evaluating human-system performance related to systems, equipment, and facilities6 in nuclear power generating stations and other nuclear facilities. It summarizes specific evaluation techniques and presents rationale for their application within the integrated systems approach to plant design, operations, and maintenance described in IEEE Std 1023™.
This document provides human factors engineering guidance for the validation of the system interface design and the integrated systems operation. This guidance provides acceptable means to: 1) Identify performance criteria 2) Collect sufficient evidence of performance 3) Plan and conduct validation tests, 4) Analyze and resolve validation results.
This recommended practice applies to, and provides the basis for, the philosophy, design, implementation (including building displays, testing, training, commissioning, and verification), operation (including maintenance and decommissioning) of Human Machine Interface (HMIs) used with electric utility automation systems. The visualization elements covered are screen philosophies, data presentation format, HMI organization and structure, menus and their hierarchies, screen navigation, graphics… read more and color conventions, pan and zoom functions, clutter/declutter, dynamic elements, popup conventions, help screens, and methods used to work with alarms. This recommended practice is technology-agnostic or independent of various software and hardware platforms. Application to HMIs with small screen sizes or to vendor-provided Intelligent Electronic Device (IED) configuration software including HMI-like functionality may have limited visualization elements. read less
This standard specifies exposure criteria and limits to protect against established adverse health effects in humans associated with exposure to electric, magnetic, and electromagnetic fields in the frequency range of 0 Hz to 300 GHz.1,2 These limits, incorporating safety margins, are expressed in terms of dosimetric reference limits (DRL) and exposure reference levels (ERL). DRLs are expressed in terms of in situ electric field strength, specific absorption rate (SAR), and epithelial power density. ERLs, which are more easily determined, are limits on external electric and magnetic fields, incident power density, induced and contact currents, and contact voltages intended to ensure that the DRLs are not exceeded. The limits, which protect against adverse health effects associated with electrostimulation of tissue and local and whole-body heating, are intended to apply to the described human exposure conditions. However, these levels are not intended to address exposures of patients or human research subjects under the care of medical professionals for which other risks and benefits might apply. These exposure limits might not prevent interference with medical and other devices that might exhibit susceptibility to electromagnetic interference (EMI).