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Type :thesis
Subject :Q Science (General)
Main Author :Dianes David Emmanuel
Title :Quality assessment methodology for sign language mobile apps using fusion of enhanced weighted mobile app rating scale (MARS) and content expert standardized criteria
Place of Production :Tanjong Malim
Publisher :Fakulti Seni, Komputeran dan Industri Kreatif
Year of Publication :2023
Corporate Name :Universiti Pendidikan Sultan Idris
PDF Guest :Click to view PDF file

Abstract : Universiti Pendidikan Sultan Idris
In the academic realm, sign language mobile apps are an exciting research area that deserves a lot of attention. These apps are largely utilised because of their low cost and convenience. However, for these apps to have a real impact, their quality should be assessed. Such an assessment will motivate app development efforts and thus present a successful development methodology for new apps. A systematic literature review (SLR) search was conducted on three academic databases, namely, Science Direct, IEEE, and WOS and identified (n=33) research related works. From the SLR, it reveals the lack of assessment of sign language mobile apps and none of these apps had undergone a quality assessment in term of standardized approach. The objective of this research is to propose a new assessment methodology to assess the quality of the Malaysian Sign Language (MSL) mobile apps. This study adopted the content expert standardized criteria which involves 17 experts using the Fuzzy Delphi method and modified Mobile App Rating Scale (MARS) using the Fuzzy-Weighted Zero Inconsistency (FWZIC) approach which involves 5 experts. The findings show that the new assessment methodology be able to outline a sturdy list of criteria for sign language mobile app development. This study is providing future researchers a comprehensive understanding of mobile app development criteria and its weight. The findings will benefit and opens up a new area where researchers and developers could work together on sign language mobile apps.

References

A. H. Alamoodi, S. G., B. B. Zaidan, A. A. Z., Moceheb Lazam Shuwandy,  , & Mussab Alaa, M. A. A., Ali Mohammed,  A. M. Aleesa , O. S. Albahri , Ward Ahmed Al-Hussein , O. R. Alobaidi. (2020). A systematic review into the assessment of medical apps: motivations, challenges, recommendations and methodological aspect. Springer Nature 2020. doi:https://doi.org/10.1007/s12553-020-00451-4 

 

 

Abbas, A. A. Y. a. A. (2021). Role of gamification in Engineering Education: A systematic literature review. 2021 IEEE Global Engineering Education Conference (EDUCON), 210-213. doi:10.1109/EDUCON46332.2021.9454038. 

 

 

Abdallah, E. E., & Fayyoumi, E. J. P. C. S. (2016). Assistive technology for deaf people based on android platform. 94, 295-301.  

 

 

Abdulla, D., Abdulla, S., Manaf, R., & Jarndal, A. H. (2016). Design and implementation of a sign-to-speech/text system for deaf and dumb people. Paper presented at the 2016 5th International Conference on Electronic Devices, Systems and Applications (ICEDSA). 

 

 

Abou Haidar, G., Achkar, R., Salhab, D., Sayah, A., & Jobran, F. (2019). Sign Language Translator using the Back Propagation Algorithm of an MLP. Paper presented at the 2019 7th International Conference on Future Internet of Things and Cloud Workshops (FiCloudW). 

 

 

Alireza Sotoudeh-Anvaria, S. J. S., Seyed Mohammad Hadji Molanaa and Soheil, & Sadi-Nezhada. (2018). A new MCDM-based approach using BWM and SAW for optimal search model Decision Science Letters, 7, 395-404. doi:10.5267/j.dsl.2018.2.001 

 

 

Alsalem MA, A. A., Albahri OS, Dawood KA, Mohammed RT, Alnoor A, Zaidan AA, Albahri AS, Zaidan BB, Jumaah FM, Al-Obaidi JR. (2022). Multi-criteria decision-making for coronavirus disease 2019 applications: a theoretical analysis review. Artificial Intelligence Review, 1, 84 doi:10.1007/s10462-021-10124-x  

 

 

Amarasinghe, A., & Wijesuriya, V. B. (2019). Stimme: A Chat Application for Communicating with Hearing Impaired Persons. Paper presented at the 2019 14th Conference on Industrial and Information Systems (ICIIS). 

 

 

Amrutha, C., Davis, N., Samrutha, K., Shilpa, N., & Chunkath, J. J. P. T. (2016). Improving language acquisition in sensory deficit individuals with mobile application. 24, 1068-1073.  

 

 

Anke Berns, M. P.-D., Juan Manuel Dodero, Juan Miguel Ruiz-Ladrón, and Andrea Calderón Márquez. (2016). Mobile apps to support and assess foreign language learning. Paper presented at the Proceedings of the 2015 EUROCALL Conference, Padova, Italy. 

 

 

Ayadi, K., Elhadj, Y. O., & Ferchichi, A. (2018). Prototype for Learning and Teaching Arabic Sign Language Using 3D Animations. Paper presented at the 2018 International Conference on Intelligent Autonomous Systems (ICoIAS). 

 

 

Baehaqi, M. N., Irzal, M., & Indiyah, F. H. (2019). Morphological Analysis of Speech Translation into Indonesian Sign Language System (SIBI) on Android Platform. Paper presented at the 2019 International Conference on Advanced Computer Science and information Systems (ICACSIS). 

 

 

Berger, A., & Maly, F. (2019). Smart Google Glass Solution Used as Education Support Tool. Paper presented at the 2019 International Symposium on Educational Technology (ISET). 

 

 

Bhujbal, V. P., & Warhade, K. (2018). Hand Sign Recognition Based Communication System for Speech Disable People. Paper presented at the 2018 Second International Conference on Intelligent Computing and Control Systems (ICICCS). 

 

 

Bhuvan, M. S., Rao, D. V., Jain, S., Ashwin, T., Guddetti, R. M. R., & Kulgod, S. P. (2016). Detection and analysis model for grammatical facial expressions in sign language. Paper presented at the 2016 IEEE Region 10 Symposium (TENSYMP). 

 

 

Bodjanova, S. (2006). Median alpha-levels of a fuzzy number. Fuzzy sets and systems, 157(7), 879-891.  

 

 

Burton, M. (2013). Evaluation of sign language learning tools: Understanding features for improved collaboration and communication between a parent and a child.  

 

 

Chang, P.-L., Hsu, C.-W., & Chang, P.-C. (2011). Fuzzy Delphi method for evaluating hydrogen production technologies. International Journal of Hydrogen Energy, 36(21), 14172-14179.  

 

 

Cheng, C.-H., & Lin, Y. (2002). Evaluating the best main battle tank using fuzzy decision theory with linguistic criteria evaluation. European journal of operational research, 142(1), 174-186.  

 

 

Chu, H.-C., & Hwang, G.-J. (2008). A Delphi-based approach to developing expert systems with the cooperation of multiple experts. Expert Systems with Applications, 34(4), 2826-2840.  

 

 

Chuan, N. K., Sivaji, A., Loo, F. A., Ahmad, W. F. W., & Nathan, S. S. (2017). Evaluating ‘Gesture Interaction’requirements of mobile applications for deaf users: discovering the needs of the hearing-impiared in using touchscreen gestures. Paper presented at the 2017 IEEE Conference on Open Systems (ICOS). 

 

 

Dadiz, B. G., Abrasia, J. M. B., & Jimenez, J. L. (2017). Go-Mo (Go-motion): An android mobile application detecting motion gestures for generating basic mobile phone commands utilizing KLT algorithm. Paper presented at the 2017 IEEE 2nd International Conference on Signal and Image Processing (ICSIP). 

 

 

de Araujo, T. A. C., Oliveira, F. C., & Costa, C. L. (2019). Creating job opportunities in computer assembly line for people with disabilities through augmented reality. Paper presented at the 2019 IEEE Frontiers in Education Conference (FIE). 

 

 

Deb, S., & Bhattacharya, P. J. P. C. S. (2018). Augmented Sign Language Modeling (ASLM) with interaction design on smartphone-an assistive learning and communication tool for inclusive classroom. 125, 492-500.  

 

 

Domnich, A., Arata, L., Amicizia, D., Signori, A., Patrick, B., Stoyanov, S., . . . Panatto, D. (2016). Development and validation of the Italian version of the Mobile Application Rating Scale and its generalisability to apps targeting primary prevention. BMC Med Inform Decis Mak, 16(1), 83. doi:10.1186/s12911-016-0323-2 

El-Gayyar, M. M., Ibrahim, A. S., & Wahed, M. J. E. I. J. (2016). Translation from Arabic speech to Arabic Sign Language based on cloud computing. 17(3), 295-303.  

 

 

Eryigit, C., Köse, H., Kelepir, M., & Eryigit, G. J. K.-B. S. (2016). Building machine-readable knowledge representations for Turkish sign language generation. 108, 179-194.  

 

 

Garcia, M. G., San Luis, C. I., & Samonte, M. J. C. (2016). E-tutor for Filipino sign language. Paper presented at the 2016 11th International Conference on Computer Science & Education (ICCSE). 

 

 

Garramiola-Bilbao, I., & Rodríguez-Álvarez, A. (2016). Linking hearing impairment, employment and education. Public Health, 141, 130-135. doi:https://doi.org/10.1016/j.puhe.2016.09.013 

 

 

Gul, A., Zehra, B., Shah, S., Javed, N., & Saleem, M. I. (2020). Two-way Smart Communication System for Deaf & Dumb and Normal People. Paper presented at the 2020 International Conference on Information Science and Communication Technology (ICISCT). 

 

 

Hartanto, R., & Kartikasari, A. (2016). Android based real-time static Indonesian sign language recognition system prototype. Paper presented at the 2016 8th International Conference on Information Technology and Electrical Engineering (ICITEE). 

 

 

Hilary Bowman-Smart, C. G., Angela Morgan & Julian Savulescu. (2019). The moral case for sign language education. Monash Bioeth. Review, 37(December 2019), 94–110  

 

 

Hussain, M. A., Ahsan, K., Iqbal, S., & Nadeem, A. J. I. J. o. H.-C. S. (2019). Supporting deafblind in congregational prayer using speech recognition and vibro-tactile stimuli. 123, 70-96.  

 

 

Ismail, N. K., & Mohamed, S., & Hamzah, M. I. (2019). The Application of the Fuzzy Delphi Technique to the Required Aspect of Parental Involvement in the Effort to Inculcate Positive Attitude among Preschool Children. Creative Education, 10, 2907-2921. doi:https://doi.org/10.4236/ce.2019.1012216 

Jan Gugenheimer, K. P., Florian Schaub, Patrizia Di Campli San Vito, Saskia Duck, Melanie Rabus, Enrico Rukzio. (2017). The Impact of Assistive Technology on Communication Quality Between Deaf and Hearing Individuals. Paper presented at the CSCW '17: Proceedings of the 2017 ACM Conference on Computer Supported Cooperative Work and Social Computing, Portland, Oregon, USA.  

 

 

Jin, C. M., Omar, Z., & Jaward, M. H. (2016). A mobile application of American sign language translation via image processing algorithms. Paper presented at the 2016 IEEE Region 10 Symposium (TENSYMP). 

 

 

Joseph, M. H. (2019). SignAR: A Sign Language Translator Application with Augmented Reality using Text and Image Recognition. Paper presented at the 2019 IEEE International Conference on Intelligent Techniques in Control, Optimization and Signal Processing (INCOS). 

 

 

Kanakri, W., Lo'ai, A. T., & AlHarbi, A. (2017). Dos and Donts Integrated System Based on GPS and Cloud Technologies for Pilgrims. Paper presented at the 2017 IEEE 14th International Conference on Mobile Ad Hoc and Sensor Systems (MASS). 

 

 

Khan, M. N. R., Shahin, F. B., Sunny, F. I., Khan, M. R., Mashuk, A. E. H., & Al Mamun, K. A. (2019). An Innovative and Augmentative Android Application for Enhancing Mediated Communication of Verbally Disabled People. Paper presented at the 2019 10th International Conference on Computing, Communication and Networking Technologies (ICCCNT). 

 

 

Khan, M. N. R., Sonet, H. H., Yasmin, F., Yesmin, S., Sarker, F., & Mamun, K. A. (2017). ‘Bolte Chai’—An Android application for verbally challenged children. Paper presented at the 2017 4th International Conference on Advances in Electrical Engineering (ICAEE). 

 

 

Klímová, J. K. a. B. (2019). Use of Smartphone Applications in English Language Learning—A Challenge for Foreign Language Education. education sciences. doi:10.3390/educsci9030179 

 

 

Ku, Y.-J., Chen, M.-J., & King, C.-T. (2019). A Virtual Sign Language Translator on Smartphones. Paper presented at the 2019 Seventh International Symposium on Computing and Networking Workshops (CANDARW). 

Kumar, D. A., Kishore, P., Sastry, A., & Swamy, P. R. G. (2016). Selfie continuous sign language recognition using neural network. Paper presented at the 2016 IEEE Annual India Conference (INDICON). 

 

 

L. Alvarado-Miranda, M. Z.-P. a. M. C.-C. (2020). Analysis of UV technologies for disinfection of public areas: a systematic literature review. 2020 IEEE Engineering International Research Conference (EIRCON), 1-4. doi:10.1109/EIRCON51178.2020.9253754 

 

 

Lena, P. H., & Jimbara, W. R. (2017). Learning to Read and Identifies the Level of Hearing Disability Early Age Using a Mobile Learning Application. Paper presented at the International Conference on Interactive Collaborative Learning. 

 

 

Liqing, G., Wenwen, L., Yong, S., Yanyan, W., & Guoming, L. (2018). Research on Portable Sign Language Translation System Based on Embedded System. Paper presented at the 2018 3rd International Conference on Smart City and Systems Engineering (ICSCSE). 

 

 

Loke, P., Paranjpe, J., Bhabal, S., & Kanere, K. (2017). Indian sign language converter system using an android app. Paper presented at the 2017 International conference of Electronics, Communication and Aerospace Technology (ICECA). 

 

 

Luangrungruang, T., & Kokaew, U. (2018). Applying Universal Design for Learning in Augmented Reality Education Guidance for Hearing Impaired Student. Paper presented at the 2018 5th International Conference on Advanced Informatics: Concept Theory and Applications (ICAICTA). 

 

 

Mahamud, M. S., & Zishan, M. S. R. (2017). Watch IT: An assistive device for deaf and hearing impaired. Paper presented at the 2017 4th International Conference on Advances in Electrical Engineering (ICAEE). 

 

 

Mahesh, M., Jayaprakash, A., & Geetha, M. (2017). Sign language translator for mobile platforms. Paper presented at the 2017 International Conference on Advances in Computing, Communications and Informatics (ICACCI). 

 

 

Mohamed Yusoff, A. F. H., Azmil & Muhamad, Norhisham & Wan Hamat, Wan. (2021). Application of Fuzzy Delphi Technique Towards Designing and Developing the Elements for the e-PBM PI-Poli Module (Aplikasi Teknik Fuzzy Delphi Terhadap Elemen-Elemen Reka Bentuk Dan Pembangunan Modul e-PBM PI-Poli). Asian Journal of University Education, 17, 292-304. doi:10.24191/ajue.v17i1.12625.  

 

 

Muzahidin, S., & Rakun, E. (2020). Text-Driven Talking Head Using Dynamic Viseme and DFFD for SIBI. Paper presented at the 2020 7th International Conference on Information Technology, Computer, and Electrical Engineering (ICITACEE). 

 

 

Nanaware, T., Sahasrabudhe, S., Ayer, N., & Christo, R. (2018). Fingerspelling-Indian Sign Language Training Tool. Paper presented at the 2018 IEEE 18th International Conference on Advanced Learning Technologies (ICALT). 

 

 

Neiva, D. H., & Zanchettin, C. J. E. S. w. A. (2018). Gesture recognition: a review focusing on sign language in a mobile context. 103, 159-183.  

 

 

Olga, L., Valeriia, S., & Volodymyr, P. (2019). The sign translator information system for tourist. Paper presented at the 2019 IEEE 14th International Conference on Computer Sciences and Information Technologies (CSIT). 

 

 

Paudyal, P., Lee, J., Banerjee, A., & Gupta, S. K. (2017). Dyfav: Dynamic feature selection and voting for real-time recognition of fingerspelled alphabet using wearables. Paper presented at the Proceedings of the 22nd International Conference on Intelligent User Interfaces. 

 

 

Paudyal, P., Lee, J., Banerjee, A., & Gupta, S. K. J. A. T. o. I. I. S. (2019). A comparison of techniques for sign language alphabet recognition using armband wearables. 9(2-3), 1-26.  

 

 

Perera, Y., Jayalath, N., Tissera, S., Bandara, O., & Thelijjagoda, S. (2017). Intelligent mobile assistant for hearing impairers to interact with the society in Sinhala language. Paper presented at the 2017 11th International Conference on Software, Knowledge, Information Management and Applications (SKIMA). 

 

 

Pluempitiwiriyawej, C., Changsnit, P., Chevapatr, P., & Ranong, S. N. (2017). FING: Thai fingerspelling practice application. Paper presented at the 2017 6th ICT International Student Project Conference (ICT-ISPC). 

 

 

Pranali Loke, J. P. a. S. B. (2017). Indian Sign Language Converter System Using An Android App. International Conference on Electronics, Communication and Aerospace Technology ICECA 2017, 436-439. doi:10.1109/ICECA.2017.8212852. 

 

R. T. Mohammed, A. A. Z., R. Yaakob, N. M. Sharef, R. H. Abdullah, B. B. Zaidan, O. S. Albahri and K. H. Abdulkareem. (2022). Determining Importance of Many-Objective Optimisation Competitive Algorithms Evaluation Criteria Based on a Novel Fuzzy-Weighted Zero-Inconsistency Method. International Journal of Information Technology & Decision Making, 21, 1. doi:https://doi.org/10.1142/S0219622021500140 

 

Rahmat Dapari, H. I., Rosnah Ismail, Noor Hassim Ismail. (2017). Application of Fuzzy Delphi in the Selection of COPD Risk Factors among Steel Industry Workers. National Research Institute of Tuberculosis and Lung Disease, 16, 46-52.  

 

 

Rao, G. A., & Kishore, P. J. A. S. E. J. (2018). Selfie video based continuous Indian sign language recognition system. 9(4), 1929-1939.  

 

 

Rastgoo, R., Kiani, K., & Escalera, S. J. E. S. w. A. (2020). Sign language recognition: A deep survey. 113794.  

 

 

Rizwan, S. B., Khan, M. S. Z., & Imran, M. (2019). American sign language translation via smart wearable glove technology. Paper presented at the 2019 International Symposium on Recent Advances in Electrical Engineering (RAEE). 

 

 

Ryan Lee Romero, F. K., Mark Hart, Amanda Ojeda, Itai Meirom, Stephen Hardy. (2019). Modifying the Mobile App Rating Scale With a Content Expert: Evaluation Study of Deaf and Hard-of-Hearing Apps. JMIR Mhealth Uhealth 2019, 7. doi:10.2196/14198 

 

 

Sachdeva, H., Misra, A., Chauhan, K., & Dave, M. (2020). Morse-Comm: Mobile Application Environment for Visually-Impaired and Neuro-Muscular Disabled People Using Morse Code Conversion. Paper presented at the 2020 7th International Conference on Signal Processing and Integrated Networks (SPIN). 

 

 

Sahid, A. F. B. M., Ismail, W. S. W., & Abd Ghani, D. (2016). Malay Sign Language (MSL) for Beginner using android application. Paper presented at the 2016 International Conference on Information and Communication Technology (ICICTM). 

 

Samonte, M. J. C., Gazmin, R. A., Soriano, J. D. S., & Valencia, M. N. O. (2019). BridgeApp: An Assistive Mobile Communication Application for the Deaf and Mute. Paper presented at the 2019 International Conference on Information and Communication Technology Convergence (ICTC). 

 

 

Sengupta, A., Mallick, T., & Das, A. (2019). A Cost Effective Design and Implementation of Arduino Based Sign Language Interpreter. Paper presented at the 2019 Devices for Integrated Circuit (DevIC). 

 

 

Shahriar, R., Zaman, A., Ahmed, T., Khan, S. M., & Maruf, H. (2017). A communication platform between bangla and sign language. Paper presented at the 2017 IEEE Region 10 Humanitarian Technology Conference (R10-HTC). 

 

 

Shamseer, L., Moher, D., Clarke, M., Ghersi, D., Liberati, A., Petticrew, M., . . . Stewart, L. A. J. B. (2015). Preferred reporting items for systematic review and meta-analysis protocols (PRISMA-P) 2015: elaboration and explanation. 349.  

 

 

Sobhan, M., Chowdhury, M. Z., Ahsan, I., Mahmud, H., & Hasan, M. K. (2019). A Communication Aid System for Deaf and Mute using Vibrotactile and Visual Feedback. Paper presented at the 2019 International Seminar on Application for Technology of Information and Communication (iSemantic). 

 

 

Sofiah Sajap, N. M., and Nurul Amirah Paham. (2020). Jari – Malaysian Sign Language translator. International Journal of Advanced Trends in Computer Science and Engineering, 9, 385-394.  

 

 

Sorin Nadaban, S. D., Ioan Dzitac. (2016). Fuzzy TOPSIS: A General View. Procedia Computer Science, 91, 823-831. doi:doi.org/10.1016/j.procs.2016.07.088 

 

 

Sremac, D. P. c. Ž. S. c. a. S. (2018). A New Model for DeterminingWeight Coefficients of Criteria in MCDM Models: Full Consistency Method (FUCOM). Symmetry, 10, 393. doi:10.3390/sym10090393 

 

Srithonratkul, B., Sintupetch, P., Saysaman, P., Pluempitiwiriyawej, C., & Chauksuvanit, T. (2016). New2Thai. Paper presented at the 2016 Fifth ICT International Student Project Conference (ICT-ISPC). 

 

 

Terhorst, Y., Philippi, P., Sander, L. B., Schultchen, D., Paganini, S., Bardus, M., . . . Schoeppe, S. (2020). Validation of the mobile application rating scale (mars). PLOS ONE, 15(11), e0241480.  

 

 

Tiku, K., Maloo, J., Ramesh, A., & Indra, R. (2020). Real-time Conversion of Sign Language to Text and Speech. Paper presented at the 2020 Second International Conference on Inventive Research in Computing Applications (ICIRCA). 

 

 

Vachirapipop, M., Soymat, S., Tiraronnakul, W., & Hnoohom, N. (2017). An integration of Myo Armbands and an android-based mobile application for communication with hearing-impaired persons. Paper presented at the 2017 13th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS). 

 

 

Villamarin, S. C. B., Morales, D. A. C., Reyes, C. A. Á., & Sánchez, C. A. (2016). Application design sign language colombian for mobile devices VLSCApp (Voice Colombian sign language app) 1.0. Paper presented at the 2016 Technologies Applied to Electronics Teaching (TAEE). 

 

 

Vintimilla, M. G., Alulema, D., Morocho, D., Proano, M., Encalada, F., & Granizo, E. (2016). Development and implementation of an application that translates the alphabet and the numbers from 1 to 10 from sign language to text to help hearing impaired by Android mobile devices. Paper presented at the 2016 IEEE International Conference on Automatica (ICA-ACCA). 

 

 

Zanzarukiya, A., Jethwa, B., Panchasara, M., & Parekh, R. (2020). Assistive Hand Gesture Glove for Hearing and Speech Impaired. Paper presented at the 2020 4th International Conference on Trends in Electronics and Informatics (ICOEI)(48184). 

 

 


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