Usability is an important attribute that need more concentration in determining the production of a successful mobile application. Currently mobile applications for the deaf has increased tremendously with the increase of the usage of mobile phones. However, usability evaluation model that best suits the evaluation for mobile application for the deaf is rather very general. Usability of the mobile application for the deaf is very limited that makes the evaluation more challenging and difficult. This study reviews the current usability models provide guidelines and usability dimensions used by researchers and discuss the trend for future evaluation of mobile applications for deaf. Result shows that usability for mobile application for the deaf are limited. This study helps mobile developers and evaluators in evaluating mobile application for the deaf.
Development in technology motivates the way of teaching and learning from different view. Electronic learning has become a trend in institutions since usage of Internet is growing high. This study evaluated the effectiveness towards the e-learning usage and acceptance of it among users. Evaluation is necessary to ensure future usability and the acceptance of online learning among users. The web based online learning IDEWL was tested in this study. IDEWL is an enhanced e-learning with interactivity module such as web conferencing which differs from normal video on demand based online learning. Total of 250 students participated in this evaluation through answering the questionnaire distributed. Components that was evaluated consist of interactivity, perceived usefulness, perceived ease of use, intention to use and effectiveness. Data collected was analyzed using SPSS based on TAM approach through hypothesis test. The result indicates that students find e-learning is effective with the enhancement of the inter-activity modules and perceived usefulness as well as perceived ease of use has influenced on each other and seamlessly connected with the effective-ness of the e-learning system.
<p>This paper contributes to the literature on voice-recognition in the context of non-English language. Specifically, it aims to validate the techniques used to present the basic characteristics of speech, viz. voiced and unvoiced, that need to be evaluated when analysing speech signals. Zero Crossing Rate (ZCR) and Short Time Energy (STE) are used in this paper to perform signal pre-processing of continuous Malay speech to separate the voiced and unvoiced parts. The study is based on non-real time data which was developed from a collection of audio speeches. The signal is assessed using ZCR and STE for comparison purposes. The results revealed that ZCR are low for voiced part and high for unvoiced part whereas the STE is high for voiced part and low for unvoiced part. Thus, these two techniques can be used effectively for separating voiced and unvoiced for continuous Malay speech.</p>
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