Landscape of sign language research based on smartphone apps: coherent literature analysis, motivations, open challenges, recommendations and future directions for app assessment

被引:6
|
作者
David, Dianes [1 ]
Alamoodi, A. H. [1 ]
Albahri, O. S. [8 ]
Zaidan, B. B. [2 ]
Zaidan, A. A. [3 ]
Garfan, Salem [1 ]
Ismail, Amelia Ritahani [4 ]
Albahri, A. S. [5 ]
Alsinglawi, Belal [6 ]
Malik, R. Q. [7 ]
机构
[1] Univ Pendidikan Sultan Idris UPSI, Fac Arts Comp & Creat Ind, Dept Comp, Tanjong Malim, Perak, Malaysia
[2] Natl Yunlin Univ Sci & Technol, Future Technol Res Ctr, 123 Univ Rd,Sect 3, Touliu 64002, Yunlin, Taiwan
[3] British Univ Dubai, Fac Engn & IT, Dubai, U Arab Emirates
[4] Int Islamic Univ Malaysia, Kulliyyah Informat & Commun Technol KICT, Kuala Lumpur, Malaysia
[5] Iraqi Commiss Comp & Informat ICCI, Baghdad, Iraq
[6] Western Sydney Univ, Sch Comp Data & Math Sci, Sydney, Australia
[7] Al Mustaqbal Univ Coll, Med Intrumentat Tech Engn Dept, Babylon, Iraq
[8] Mazaya Univ Coll, Comp Tech Engn Dept, Nassiriya, Thi Qar, Iraq
关键词
Sign language; Mobile app; Deaf people; Hearing impaired; Smartphone; Assessment; DEAF; SPEECH;
D O I
10.1007/s10209-022-00966-9
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
Numerous nations have prioritised the inclusion of citizens with disabilities, such as hearing loss, in all aspects of social life. Sign language is used by this population, yet they still have trouble communicating with others. Many sign language apps are being created to help bridge the communication gap as a result of technology advances enabled by the widespread use of smartphones. These apps are widely used because they are accessible and inexpensive. The services and capabilities they offer and the quality of their content, however, differ greatly. Evaluation of the quality of the content provided by these applications is necessary if they are to have any kind of real effect. A thorough evaluation like this will inspire developers to work hard on new apps, which will lead to improved software development and experience overall. This research used a systematic literature review (SLR) method, which is recognised in gaining a broad understanding of the study whilst offering additional information for future investigations. SLR was adopted in this research for smartphone-based sign language apps to understand the area and main discussion aspects utilised in the assessment. These studies were reviewed on the basis of related work analysis, main issues, discussions and methodological aspects. Results revealed that the evaluation of sign language mobile apps is scarce. Thus, we proposed a future direction for the quality assessment of these apps. The findings will benefit normal-hearing and hearing-impaired users and open up a new area where researchers and developers could work together on sign language mobile apps. The results will help hearing and non-hearing users and will pave the way for future collaboration between academicians and app developers in the field of sign language technology.
引用
收藏
页码:687 / 702
页数:16
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  • [1] The landscape of research on smartphone medical apps: Coherent taxonomy, motivations, open challenges and recommendations
    Hussain, Muzammil
    Al-Haiqi, Ahmed
    Zaidan, A. A.
    Zaidan, B. B.
    Kiah, M. L. M.
    Anuar, Nor Badrul
    Abdulnabi, Mohamed
    [J]. COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE, 2015, 122 (03) : 393 - 408
  • [2] The Landscape of Research on Skin Detectors: Coherent Taxonomy, Open Challenges, Motivations, Recommendations and Statistical Analysis, Future Directions
    Chyad, M. A.
    Alsattar, H. A.
    Zaidan, B. B.
    Zaidan, A. A.
    Al Shafeey, Ghailan A.
    [J]. IEEE ACCESS, 2019, 7 : 106536 - 106575
  • [3] A Systematic Review on Smartphone Skin Cancer Apps: Coherent Taxonomy, Motivations, Open Challenges and Recommendations, and New Research Direction
    Yas, Qahtan M.
    Zaidan, A. A.
    Zaidan, B. B.
    Hashim, M.
    Lim, C. K.
    [J]. JOURNAL OF CIRCUITS SYSTEMS AND COMPUTERS, 2018, 27 (05)
  • [4] The landscape of research on multi-modal interaction of intelligent vehicle: Coherent taxonomy, motivations, open challenges and recommendations
    Lyu, Jianan
    Zalay, Abdul Aziz
    [J]. BASIC & CLINICAL PHARMACOLOGY & TOXICOLOGY, 2019, 125 : 87 - 87
  • [5] A Landscape of Research on Bus Driver Behavior: Taxonomy, Open Challenges, Motivations, Recommendations, Limitations, and Pathways Solution in Future
    Mohammed, Ali
    Yazid, Muhamad Razuhanafi Mat
    Zaidan, B. B.
    Zaidan, A. A.
    Garfan, Salem
    Zaidan, R. A.
    Ameen, H. A.
    Kareem, Z. H.
    Malik, R. Q.
    [J]. IEEE ACCESS, 2021, 9 : 139896 - 139927
  • [6] Review of intrusion detection systems based on deep learning techniques: coherent taxonomy, challenges, motivations, recommendations, substantial analysis and future directions
    A. M. Aleesa
    B. B. Zaidan
    A. A. Zaidan
    Nan M. Sahar
    [J]. Neural Computing and Applications, 2020, 32 : 9827 - 9858
  • [7] Review of intrusion detection systems based on deep learning techniques: coherent taxonomy, challenges, motivations, recommendations, substantial analysis and future directions
    Aleesa, A. M.
    Zaidan, B. B.
    Zaidan, A. A.
    Sahar, Nan M.
    [J]. NEURAL COMPUTING & APPLICATIONS, 2020, 32 (14): : 9827 - 9858
  • [8] A systematic review on sensor-based driver behaviour studies: coherent taxonomy, motivations, challenges, recommendations, substantial analysis and future directions
    Al-Hussein, Ward Ahmed
    Kiah, Miss Laiha Mat
    Yee, Por Lip
    Zaidan, B. B.
    [J]. PEERJ COMPUTER SCIENCE, 2021, 7 : 1 - 50
  • [9] AUTOMATIC ARABIC SIGN LANGUAGE RECOGNITION: A REVIEW, TAXONOMY, OPEN CHALLENGES, RESEARCH ROADMAP AND FUTURE DIRECTIONS
    Al-Shamayleh, Ahmad Sami
    Ahmad, Rodina
    Jomhari, Nazean
    Abushariah, Mohammad A. M.
    [J]. MALAYSIAN JOURNAL OF COMPUTER SCIENCE, 2020, 33 (04) : 306 - 343
  • [10] A Systematic Review of Reliability Studies on Composite Power Systems: A Coherent Taxonomy Motivations, Open Challenges, Recommendations, and New Research Directions
    Abunima, Hamza
    Teh, Jiashen
    Lai, Ching-Ming
    Jabir, Hussein Jumma
    [J]. ENERGIES, 2018, 11 (09)