254,317 research outputs found

    Usability Chemical Application Based on User Experience Analysis

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    An experience in making a usability chemical application is one of the results that will be produced by humans who interact with machine learning. Based on this experience contains various the things that can be learned, by namely designing the interface of the mobile application. From the results of this study, user experience is highly elaborated, especially for basic human needs in carrying out an activity in the use of mobile applications. In the usability factor, experience of this factor is very important in determining the effectiveness and efficiency of the system, technology, or environment around the user. The results of this study will produce a form of experience for human needs and the concept of usability and user convenience in mobile applications. The results of this interface chemistry study will benefit from the user experience in generating observations in chemistry in a graphical user interface that serves as a media interface and mobile application by completing a usability approach to user experience by testing applications to multiple cellular devices by utilizing the needs of these users

    Culture in the design of mHealth UI:An effort to increase acceptance among culturally specific groups

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    Purpose: Designers of mobile applications have long understood the importance of users’ preferences in making the user experience easier, convenient and therefore valuable. The cultural aspects of groups of users are among the key features of users’ design preferences, because each group’s preferences depend on various features that are culturally compatible. The process of integrating culture into the design of a system has always been an important ingredient for effective and interactive human computer interface. This study aims to investigate the design of a mobile health (mHealth) application user interface (UI) based on Arabic culture. It was argued that integrating certain cultural values of specific groups of users into the design of UI would increase their acceptance of the technology. Design/methodology/approach: A total of 135 users responded to an online survey about their acceptance of a culturally designed mHealth. Findings: The findings showed that culturally based language, colours, layout and images had a significant relationship with users’ behavioural intention to use the culturally based mHealth UI. Research limitations/implications: First, the sample and the data collected of this study were restricted to Arab users and Arab culture; therefore, the results cannot be generalized to other cultures and users. Second, the adapted unified theory of acceptance and use of technology model was used in this study instead of the new version, which may expose new perceptions. Third, the cultural aspects of UI design in this study were limited to the images, colours, language and layout. Practical implications: It encourages UI designers to implement the relevant cultural aspects while developing mobile applications. Originality/value: Embedding Arab cultural aspects in designing UI for mobile applications to satisfy Arab users and enhance their acceptance toward using mobile applications, which will reflect positively on their lives.</p

    Future challenges and recommendations

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    Rapid advances in information technology and telecommunications, and in particular mobile and wireless communications, converge towards the emergence of a new type of “infostructure” that has the potential of supporting a large spectrum of advanced services for healthcare and health. Currently the ICT community produces a great effort to drill down from the vision and the promises of wireless and mobile technologies and provide practical application solutions. Research and development include data gathering and omni-directional transfer of vital information, integration of human machine interface technology into handheld devices and personal applications, security and interoperability of date and integration with hospital legacy systems and electronic patient record. The ongoing evolution of wireless technology and mobile device capabilities is changing the way healthcare providers interact with information technologies. The growth and acceptance of mobile information technology at the point of care, coupled with the promise and convenience of data on demand, creates opportunities for enhanced patient care and safety. The developments presented in this section demonstrate clearly the innovation aspects and trends towards user oriented applications

    A toolkit of mechanism and context independent widgets

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    Most human-computer interfaces are designed to run on a static platform (e.g. a workstation with a monitor) in a static environment (e.g. an office). However, with mobile devices becoming ubiquitous and capable of running applications similar to those found on static devices, it is no longer valid to design static interfaces. This paper describes a user-interface architecture which allows interactors to be flexible about the way they are presented. This flexibility is defined by the different input and output mechanisms used. An interactor may use different mechanisms depending upon their suitability in the current context, user preference and the resources available for presentation using that mechanism

    Peluang Penelitian UI/UX pada Pengembangan Aplikasi Mobile: Systematic Literature Review

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    Mobile application is one form of information technology development that continues to increase from year to year. In the development of the digital world, it is increasingly encouraging to increase the affordability of the use of mobile devices (smartphones) to generate the most sustainable technological growth. This enormous growth in its development has given impetus to smartphone manufacturers to produce new applications on mobile devices to meet user needs. A mobile application development must have user interface and user experience aspects as part of the human-computer interaction (HCI) discipline. Mobile applications under development can run on Android and iOS platforms. This study aims to identify research opportunities in the UI/UX aspect of mobile application development whose data was obtained from related journals in 2017-2021 to provide an overview of the latest studies on research related to UI/UX mobile applications and provide analysis on topics and areas that do not have enough information and what factors to focus on. This study uses the Systematic Literature Review (SLR) method. The result of this research is to provide a systematic literature review of existing studies on UI/UX mobile applications. This research is expected to be useful for the HCI community in seeing the UI/UX description in the development of mobile applications to shape the direction of future research

    A preliminary study of a hybrid user interface for augmented reality applications

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    Augmented Reality (AR) applications are nowadays largely diffused in many fields of use, especially for entertainment, and the market of AR applications for mobile devices grows faster and faster. Moreover, new and innovative hardware for human-computer interaction has been deployed, such as the Leap Motion Controller. This paper presents some preliminary results in the design and development of a hybrid interface for hand-free augmented reality applications. The paper introduces a framework to interact with AR applications through a speech and gesture recognition-based interface. A Leap Motion Controller is mounted on top of AR glasses and a speech recognition module completes the system. Results have shown that, using the speech or the gesture recognition modules singularly, the robustness of the user interface is strongly dependent on environmental conditions. On the other hand, a combined usage of both modules can provide a more robust input

    Reinforcement Learning to Improve Coverage in Software Testing

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    Automated test procedures to test mobile applications or other software may repeatedly revisit the same user interface screens of the app-under-test in an attempt to improve coverage. Complete traversal of all screens of the app-under-test for regression or exploratory testing invariably takes a long time, is inefficient, and is sometimes ineffective. This disclosure describes a crawler that leverages reinforcement learning (RL) to efficiently traverse the screens of a mobile app-under-test or other software, and to form a spanning tree interconnecting the screens of the mobile app-under-test. In an exploratory phase, newly added parts of the mobile app-under-test are discovered and mapped. In an exploitation phase, the mapped parts of the mobile app are explored and regression-tested. The crawler does not require prior knowledge or human pre-encoding of the app-under-test. Rather, it automatically discovers and maps the app-under-test, enabling rapid, scalable, and comprehensive testing of newly released software or applications

    Sound and Precise Malware Analysis for Android via Pushdown Reachability and Entry-Point Saturation

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    We present Anadroid, a static malware analysis framework for Android apps. Anadroid exploits two techniques to soundly raise precision: (1) it uses a pushdown system to precisely model dynamically dispatched interprocedural and exception-driven control-flow; (2) it uses Entry-Point Saturation (EPS) to soundly approximate all possible interleavings of asynchronous entry points in Android applications. (It also integrates static taint-flow analysis and least permissions analysis to expand the class of malicious behaviors which it can catch.) Anadroid provides rich user interface support for human analysts which must ultimately rule on the "maliciousness" of a behavior. To demonstrate the effectiveness of Anadroid's malware analysis, we had teams of analysts analyze a challenge suite of 52 Android applications released as part of the Auto- mated Program Analysis for Cybersecurity (APAC) DARPA program. The first team analyzed the apps using a ver- sion of Anadroid that uses traditional (finite-state-machine-based) control-flow-analysis found in existing malware analysis tools; the second team analyzed the apps using a version of Anadroid that uses our enhanced pushdown-based control-flow-analysis. We measured machine analysis time, human analyst time, and their accuracy in flagging malicious applications. With pushdown analysis, we found statistically significant (p < 0.05) decreases in time: from 85 minutes per app to 35 minutes per app in human plus machine analysis time; and statistically significant (p < 0.05) increases in accuracy with the pushdown-driven analyzer: from 71% correct identification to 95% correct identification.Comment: Appears in 3rd Annual ACM CCS workshop on Security and Privacy in SmartPhones and Mobile Devices (SPSM'13), Berlin, Germany, 201
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