Usability definition
Usability means the capability of the software to be understood, learned, used, and be attractive to the user.
Usability means a change in the use of a property which would:
Usability means the degree to which software can be used by specified consumers to achieve quantified objectives with effectiveness, efficiency, and satisfaction in a quantified context of use;
Examples of Usability in a sentence
Usability data includes information such as dashboard items clicked in the Tower Software, amount of time spent on individual pages and paths taken throughout the Tower Software.
Usability data is collected and transmitted to Red Hat via a javascript file that is downloaded to a customer’s web-browser.
The purpose of a Usability Study is to test and study the usability of one or more pre-release products being developed by Qubit which Qubit may agree to make available to Customer for such purposes (together the “Test Products”).
Usability data is collected and transmitted to Red Hat via a javascript file that is downloaded to a customer’s web- browser.
Creates such artifacts as Usability Testing Plan, Testing Scripts, and Usability Testing Report.
More Definitions of Usability
Usability the ability to navigate and use content in an intuitive way, as content architectures are standardized through industry- or community-based metadata models and taxonomies; • Reusability: the flexibility to reuse content objects for multiple purposes, in different applications, in different products, via varying access devices, for numerous markets; • ?Durability: the ability to transcend technology (platforms, tools, access devices, products, vendors) changes or evolution without costly redesign, reconfiguration, redevelopment or recoding. • ?Information currency: the possibility for customers to get the latest, most up to date information, since the use of standard makes it easier and more economical to revise and update content in real-time (without having to republish the entire collection). From this point of view it’s almost impossible, and actually a non sense, to talk about best practices in dealing with learning objects without taking into account the standard issue and in particular LOM and SCORM. This issue, as a matter of fact, seems to be crucial from a double perspective: • In the eLearning environment nowadays a best practice can’t avoid facing with standards which grants interoperability and scalability of LOs, therefore, being LOM and SCORM the most updated and internationally widespread standards, we could mean as best practices in dealing with LOs experiences that are LOM or SCORM compliant. • LOM and SCORM (that is LOM based as far as metadata are concerned) allow to highlight the core features of a learning object being it a real learning object (and not just a piece of digital educational content), as the metadata they require focus on pedagogical, structural, technical but also legal (copyright) and economical aspects of a LOs based eLearning system.
Usability is the extent to which specified users to achieve specified goals with effectiveness, efficiency and satisfaction in a specified context of use [ISO/IEC 1998] can use a product
Usability means the extent to which a business record can be located, retrieved, presented and interpreted.
Usability means the availability of the service in the production environment at the access point of the public data network and as agreed in this Agreement.
Usability easy to use both for the information provider and the receiver, high flexibility of design and content structure.
Usability refers to the quality of the user’s experience when interacting with the Audio Newspaper Program, including the user’s ability to navigate the program and all its features.
Usability characteristic related with user experience and easiness for a worker to access the dataspace through different tools. New data space: improvement of the traditional personal dataspace, moving towards a complete dematerialization on centralized cloud services. Communication service provider: availability of large and long bandwidth. Within this environment, sensing the context of a user becomes important in order to adapt the enabling technologies’ usability [72]. The Context helps to define which data of the personal dataspace a user can access, in a specific place: to protect identity, privacy or to respect some security policies. Nowadays, in order to verify users’ identity (and decide whether to grant access or not) machines collect personal data from users accessing to services. Users want to use those services and therefore are willing to reveal personal data, following a data-for-(free) services logic. At the same time, humans’ identity, trust and privacy constraints are not the same for every environment (business identity, cultural identity, administrative identity etc.). From a technological point of view, it is a digital ecosystem: a community of people who interact, exchange information, combine, evolve in terms of knowledge, skills and contacts, in order to improve their lives and meet their needs. Among cloud services the concept of federated cloud is emerging, where there are common standards for both hardware and software companies. An important issue emerging from this scenario is the change in trust chains that are growing in number and are influenced by logical and physical contexts. In this kind of environment, the essence of cybercrime is to abuse the trust chains to steal assets. Hence, changes in trust models and importance of assets implies changes in cybercrime. Starting from assertions made so far, going further into detail and based on different studies on the topic, it is easy to speculate on the trend of workforces’ evolution in terms of cybersecurity. According to a McAfee Labs' five-year look ahead [95], the predictions on how the types of threat actors will change and how the industry will meet these challenges over the next five years could be briefly summarized as follows: Below-the-OS attacks: applications and operating systems are hardened against conventional attacks so attackers could look for weaknesses in firmware and hardware. The consequence could be a broad control performed by the attackers.