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Logistics System Information Technology
Published in John M. Longshore, Angela L. Cheatham, Managing Logistics Systems, 2022
John M. Longshore, Angela L. Cheatham
One contemporary issue for logisticians to consider is the emergence of Big Data, the collection of large amounts of near-real-time data collected through a variety of sources such as sensors, smartphones, RF (Radio Frequency) tags, and real-time data streaming from operating systems. One Boeing 787 aircraft system during flight operations generates 1 terabyte (a trillion bytes) of real-time flight data that is downloaded on a continuous basis during those flight operations. Logisticians must develop strategies for how to manage this flood of data to better manage assets and measure and predict component reliability, and maintainability parameters, thus increasing system operability (Zanjirani Farahani, 2014).
Scope Management
Published in Gary L. Richardson, Brad M. Jackson, Project Management Theory and Practice, 2018
Gary L. Richardson, Brad M. Jackson
Operability involves the future user’s ability to easily and safely use the product or device. Many years ago, aircraft designers found that the location of gauges, switches, and knobs had a lot to do with the safe operation of the airplane. Every device has characteristics similar to this. Think of this attribute as not changing the requirement, but rather making the functionality easier to use and safer. Automobile designers in recent years have found this to be an issue with some of the new dash functions being installed in the modern car (i.e., how do I turn on the radio?).
Cockpit Operability and Design Evaluation Procedure (CODEP): a systematic approach to cockpit effectiveness
Published in Hans M. Soekkha, Aviation Safety, 2020
Harrie G.M. Bohnen, Peter G.A.M. Jorna
Issues that are raised and prove to lead to discussions and or require further substantiation on their impact and risks for errors are translated into ‘operability tests’. An operability test takes the form of instructing a subject to perform a number of specific tasks (like changing altitude by the mode panel or FMS) and recording time to complete and type of errors made. These test cannot replace full measured tests but serve as an aid in those cases where full testing or experiments are not possible or prohibited.
Instrumental Usability and Effective User Experience: Interwoven Drivers and Outcomes of Human-Computer Interaction
Published in International Journal of Human–Computer Interaction, 2023
Hannu Kivijärvi, Karoliina Pärnänen
Operability is the fourth attribute of usability in ISO/IEC standard 25010:2011. In the standard, operability is defined as “the degree to which a product or system has attributes that make it easy to operate and control.” In HCI literature, measures like “easy to use,” “ease of use,” “navigation is easy to do,” and “user-friendly” are included in the operability concept (Abrahão et al., 2014; Hornbæk, 2006; Weichbroth, 2018). Perceived ease of use is a key construct in the technology acceptance model (Davis, 1989; Venkatesh, 2000) indicating that using a particular system would be effortless. In the sense of Fitt’s law (Fitts, 1954), List and Kipp (2019) discovered that small display sizes were difficult to use. By applying the principles of the self-regulation theory, Hosseini and Fattahi (2014) found that the perception of control was a strong driver of interface interactivity. On the other hand, if the system users feel that it is easy to use the system, it might indirectly indicate that they have a strong self-efficacy, as proposed by the social cognitive theories (Bandura, 1997). Similarly, self-efficacy was modeled as a determinant of perceived ease of use in TAM-model (Venkatesh, 2000). We hypothesize the following: H5: Operability has a positive direct effect on Usability.
A Systematic and Generalizable Approach to the Heuristic Evaluation of User Interfaces
Published in International Journal of Human–Computer Interaction, 2018
David Alonso-Ríos, Eduardo Mosqueira-Rey, Vicente Moret-Bonillo
The usability taxonomy consists of six main attributes, that are subsequently broken down into several subattributes, which are in turn hierarchically structured into levels (see Figure 1): Knowability: The property by means of which the user can understand, learn, and remember how to use the system. This attribute is subdivided into clarity, consistency, memorability, and helpfulness. The first three apply to formal (e.g., visual, acoustic, etc.) and conceptual aspects, and to the functioning of user and system tasks.Operability: The capacity of the system to provide users with the necessary functionalities and to permit users with different needs to adapt and use the system. This attribute is subdivided into completeness, precision, universality (e.g., accessibility and cultural universality), and flexibility (e.g., controllability and adaptiveness).Efficiency: The capacity of the system to produce appropriate results in return for the resources that are invested. The taxonomy draws a distinction between efficiency in human effort, in task execution time, in tied up resources, and in economic costs, with each category further decomposed into more subattributes (e.g. physical or mental effort, material or human resources, etc.).Robustness: The capacity of the system to resist error and adverse situations. The taxonomy draws a distinction between robustness to internal error, to improper use, to third party abuse, and to environment problems.Safety: The capacity to avoid risk and damage derived from the use of the system. The taxonomy draws a distinction between user safety, third party safety, and environment safety. The first two are further subdivided into physical safety, legal safeguarding, confidentiality, and safety of assets.Subjective satisfaction: The capacity of the system to produce feelings of interest in users and to be aesthetically pleasant to them (in each of the five senses: visual, acoustic, tactile, olfactory, and gustatory).