Building and evaluating an Android mobile App for people with hearing disabilities in Saudi Arabia to provide a real-time video transcript: a design science research study

Bitar, Hind; Amoudi, Ghada; Alsulami, Reem; Alahmadi, Samar

doi:10.33436/v31i3y202109

Cited by 2 publications

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“…Many units have developed speech recognition technology and provided an open platform to allow major enterprises and units to conduct research on the application of this technology. The system built in the literature [14] is an application for speech recognition in Chinese and English developed by the interface of speech recognition technology provided by iFLYTEK's speech cloud open platform.…”

Section: Related Workmentioning

confidence: 99%

Stability analysis of intelligent English translation system based on model predictive control algorithm

Yang

2023

Preprint

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English translation systems often require manual input to convert speech into text document mode, which leads to poor translation results. In order to improve the intelligence of the intelligent English translation system, based on the machine learning algorithm, this paper constructs an intelligent English translation system based on the model predictive control algorithm, and combines the self-triggering MPC with the robust control to propose a corresponding control solution. That is, a robust self-triggering MPC method is proposed for linear systems with constraints. Moreover, this paper studies the stability and robustness of MPC in continuous time systems and describes the interfaces to be used in the system and the performance requirements of the system. In addition, this paper analyzes and describes the feasibility of the system development plan. Finally, this paper designs experiments to analyze the model performance from the system translation accuracy rate, system login security and system stability. The research results show that the model constructed in this paper has certain practical effects.

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Section: Related Workmentioning

confidence: 99%

Stability analysis of intelligent English translation system based on model predictive control algorithm

Yang

2023

Preprint

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“…A deaf child is a user who cannot listen or talk. Despite their limitations, deaf children are eager to utilise mobile phones and applications that have become commonplace in recent years (Bitar et al, 2021). In addition, Yeratziotis and Zaphiris (2018) claimed that current mobile learning applications for deaf children are less frequently utilised.…”

Section: Introductionmentioning

confidence: 99%

Requirements of Enjoyable Mobile Learning Applications for Deaf Children

Hashim,

Mohamad,

Hibadullah

et al. 2024

JICT

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In the domain of mobile learning applications for deaf children, many studies are more concerned with the development of mobile learning applications for deaf children than with determining what makes them enjoyable for this group of children. Some of these learning applications do not meet the needs of deaf children for learning since the requirements were not collected from the actual deaf children. As a result, many deaf learning applications are still not gaining much popularity among people who are deaf or hard of hearing due to the application due to the applications’ inability to meet their expectations and needs. Hence, this paper aims to identify the requirements for designing an enjoyable mobile learning application for deaf children. In achieving this goal, it is essential to identify the requirements of deaf children on mobile learning applications from their own everyday experience and support these identified needs with requirements gathered from their parents and teachers and literature. Three methods were conducted for this study to identify and synthesise these requirements: (1) Fun Sorter data collection method was conducted among the deaf children, whose ages are between 7 and 12 years old; (2) an interview involving teachers and parents of deaf children; and (3) a literature review on deaf children’s learning. The identified requirements were verified through a focused group attended by eight mobile learning developers. The finding identified six requirements: multimedia elements, games, easy-to-use, simple tasks, guidance,and alerting. These requirements serve as crucial guidelines for mobile app developers, enabling the creation of enjoyable learningapplications designed specifically for deaf children. Furthermore, these requirements can potentially improve the learning journey ofdeaf children, offering them valuable benefits and enhancing their educational experiences.

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Building and evaluating an Android mobile App for people with hearing disabilities in Saudi Arabia to provide a real-time video transcript: a design science research study

Cited by 2 publications

References 0 publications

Stability analysis of intelligent English translation system based on model predictive control algorithm

Stability analysis of intelligent English translation system based on model predictive control algorithm

Requirements of Enjoyable Mobile Learning Applications for Deaf Children

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