4 research outputs found

    PENGUJIAN USABILITY ANTARMUKA APLIKASI BRAILLE SMART PADA SISWA TU¬NANETRA

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    The visually impaired is is a person who can not use his eyes as the primary senses to obtain information on the environment (Nawawi, 2010).  Visual impairment in a person, causing the visually impaired will have limitations. The limitations are as follows: (1) obtain information and new experiences, (2) interaction with the environment, and (3) mobility. The development of communication technology, especially on a handheld cell phone that starts with a keypad, developed into a flat-screen smartphone makes it difficult to use by the visually impaired. B-SMART application comes with the concept of Virtual Braille Keyboard,  application of the concept of Braille as navigation and input so that the blind people can use the touch screen smartphone. This study aims to evaluate the application of B-SMART by measuring the level of effectiveness, efficiency and user satisfaction of the B-SMART mobile applications. The method of analysis in this study using Cognitive Walkthrough  combined with Quistionairre for User Interface Satisfaction (Quis). The test results showed the effectiveness of B-SMART application amounted to 85.0%, the efficiency level is 42.7% and the satisfaction of respondents was 77.1%. The results show that there is a problem faced by respondents when using the application to complete the task scenario seen from the effectiveness of 85% and an efficiency of 42.7%. The test results are discussed in the Focus Group Discussion and used as the basis of the recommendations on the improvement of the interface of B-SMART.Keywords : Visually impaired, Mobile Application, User interface, Usability, Cognitive Walkthroug

    Experienced Mental Workload, Perception of Usability, their Interaction and Impact on Task Performance

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    Experienced metal workload, perception of usability, their interaction and impact on task performance

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    Past research in HCI has generated a number of procedures for assessing the usability of interacting systems. In these procedures there is a tendency to omit characteristics of the users, aspects of the context and peculiarities of the tasks. Building a cohesive model that incorporates these features is not obvious. A construct greatly invoked in Human Factors is human Mental Workload. Its assessment is fundamental for predicting human performance. Despite the several uses of Usability and Mental Workload, not much has been done to explore their relationship. This empirical research focused on I) the investigation of such a relationship and II) the investigation of the impact of the two constructs on human performance. A user study was carried out with participants executing a set of information-seeking tasks over three popular web-sites. A deep correlation analysis of usability and mental workload, by task, by user and by classes of objective task performance was done (I). A number of Supervised Machine Learning techniques based upon different learning strategy were employed for building models aimed at predicting classes of task performance (II). Findings strongly suggests that usability and mental workload are two non overlapping constructs and they can be jointly employed to greatly improve the prediction of human performance

    Cognitive load and usability analysis of R-MAP for the people who are blind or visual impaired

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    The ultimate goal of this work is to understand the confluence of cognitive load and usability studies in evaluating the performance of fully integrated assistive technology solutions. The platform used for this study is called, Reconfigured Mobile Android Phone (R-MAP). The focus of this study is to measure the cognitive load and perform usability analysis and use them as a guide to refine the design and improve the usability of the R-MAP. A secondary task performance based procedure for measuring the cognitive load was used to study the R-MAP. The score of the secondary task performance was found to have strong relationship with the cognitive load, usability of the R-MAP and also the differences in performances among various categories of users. © 2011 ACM
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