Abstract
Nowadays hearing rehabilitation training has the disadvantages of single training method and low compliance. We constructed a Chinese tongue-twister-based hearing rehabilitation training to improve users’ auditory sensitivity through repetitive combination training of similar phonemes, thus helping users to recover their hearing level. An application model was developed, for which user assessments of demand and satisfaction were conducted, followed by principal component analysis to further explore the correlation between principal components and ratings. The tongue twister rehearsal training is the feature with the highest ranking in terms of user demand and satisfaction. The mean (SD) score of demand for the five core functions is 6.24 (0.16), and the mean (SD) score of the satisfaction is 6.17 (0.2). The average (SD) demand and satisfaction scores for this overall application model are 6.62 (0.56) and 6.52 (0.64). The proposed application model of self-hearing health management, which integrates assessment and training, bridges the gap between assessment and training in traditional hearing health management software, and achieves high overall scores in user demand and satisfaction surveys. The application model we developed will make up for the current deficiency of hearing rehabilitation training and provide a new reference solution for future rehabilitation training of related diseases.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Deafness and hearing loss. https://www.who.int/health-topics/hearing-loss#tab=tab_2
Kochkin, S.: MarkeTrak VII: Customer satisfaction with hearing aids in the digital age. Hear. J. 58(9), 30–37 (2005)
Koo, S.M., Kim, J.S., Lim, D.H.: A summary of the census for the disabled in Korea- focusing on the hearing impaired. Audiology 2(1), 52–57 (2006)
Chen, C.J., Zhang, W.: Effects of information-knowledge-belief-behavior model on anxiety, depression and self-efficacy in elderly patients with sudden onset deafness. China Drug Clini. 21(05), 725–727 (2021)
Zhu, W.J., et al.: Analysis of the effect of gaze stability training on the intervention of patients with bilateral vestibular hypofunction. Shaanxi Med. J. 49(11), 1476–1478 (2020)
Tao, P.: Positive psychology perspective on the effectiveness of care for patients with sudden onset deafness. Contemp. Nurse (Next issue) 27(6), 88–90 (2020)
Li, Y., Chen, C.: Effects of therapeutic children’s play on psychological stress response and hearing recovery in preschoolers with sudden deafness. Nurs. Res. 34(10), 1774–1779 (2020)
Tye-Murray, N.: Foundations of Aural Rehabilitation: Children, Adults, and Their Family Members. Plural Publishing (2019)
De Filippo, C.L., Scott, B.L.: A method for training and evaluating the reception of ongoing speech. J. Acoust. Soc. America 63(4), 1186–1192 (2021)
Chang, S., Lee, J.: Development of auditory training tool for adults using sentences. Audiol. Speech Res. 12(2), 89–96 (2016)
Liu, Q.Y., et al.: The construction of a decomposed auditory skills training model for Chinese language. J. Clinical Otolaryngol. 12, 574–576 (2006)
Kraus, N., Chandrasekaran, B.: Music training for the development of auditory skills. Nat. Rev. Neurosci. 11(8), 599–605 (2010)
Herholz, S.C., Zatorre, R.J.: Musical training as a framework for brain plasticity: behavior, function, and structure. Neuron 76(3), 486–502 (2020)
Wang, Y., et al.: Characteristic of stimulus frequency otoacoustic emissions: detection rate, musical training influence, and gain function. Brain Sci. 9(10), 255 (2019)
International Telecommunications Union: Statistics. https://www.itu.int/en/ITU-D/Statistics/Pages/stat/default.aspx
mHealth App Economics 2017: Current Status and Future Trends in Mobile Health. www.research2guidance.com
Swanepoel, D.W., Hall, J.W., III.: A systematic review of telehealth applications in audiology. Telemedicine e-Health 16(2), 181–200 (2010)
Bexelius, C., et al.: Evaluation of an internet-based hearing test—comparison with established methods for detection of hearing loss. J. Med. Internet Res. 10(4), e32 (2008)
Smits, C., Merkus, P., et al.: How we do it: the Dutch functional hearing–screening tests by telephone and Internet. Clin. Otolaryngol. 31(5), 436–440 (2006)
Choi, J.M., et al.: PC-based tele-audiometry. Telemedicine e-Health 13(5), 501–508 (2007)
Yao, J., Wan, Y., Givens, G.D.: Using web services to realize remote hearing assessment. J. Clin. Monit. Comput. 24(1), 41–50 (2010)
Lee, Y.: Mobile application development for improving auditory memory skills of children with hearing impairment. Audiology Speech Res. 13(1), 50–61 (2017)
Sweetow, R.W., Sabes, J.H.: The need for and development of an adaptive listening and communication enhancement (LACE™) program. J. Am. Acad. Audiol. 17(08), 538–558 (2006)
Laplante-LĂ©vesque, A., et al.: Providing an internet-based audiological counselling programme to new hearing aid users: a qualitative study: provisiĂłn de un programa de consejerĂa audiolĂłgica por Internet para nuevos usuarios de auxiliares auditivos: un estudio cualitativo. Int. J. Audiol. 45(12), 697–706 (2006)
Lycke, M., et al.: The use of uHear™ to screen for hearing loss in older patients with cancer as part of a comprehensive geriatric assessment. Acta Clin. Belg. 73(2), 132–138 (2017)
Corry, M., et al.: The accuracy and reliability of an app-based audiometer using consumer headphones: pure tone audiometry in a normal hearing group. Int. J. Audiol. 56(9), 706–710 (2017)
Yeung, J.C., et al.: Self-administered hearing loss screening using an interactive, tablet play audiometer with ear bud headphones. Int. J. Pediatr. Otorhinolaryngol. 79(8), 1248–1252 (2015)
Kwak, C., et al.: Development of the Hearing Rehabilitation for Older Adults (HeRO) healthcare mobile application and its likely utility for elderly users. Int. J. Environ. Res. Public Health, 17(11), 3998 (2020)
Wang, J., Zhao, F.: Automatic pure tone hearing threshold detection technology. Chinese J. Hearing Speech Rehabil. Sci. 19(1), 1–2 (2021)
Békésy, G.V.: A new audiometer. Acta Otolaryngol. 35(5–6), 411–422 (1947)
Mahomed, F., et al.: Validity of automated threshold audiometry: a systematic review and meta-analysis. Ear Hear. 34(6), 745–752 (2013)
Swanepoel, D.W., et al.: Hearing assessment—reliability, accuracy, and efficiency of automated audiometry. Telemedicine e-Health 16(5), 557–563 (2010)
Margolis, R.H., et al.: AMTAS®: automated method for testing auditory sensitivity: validation studies. Int. J. Audiol. 49(3), 185–194 (2010)
Jackler, R.K., et al.: The future of otology. J. Laryngol. Otol. 133(9), 747–758 (2019)
McCaslin, D.L.: Rise of the machines: audiology and mobile devices. J. Am. Acad. Audiol. 30(03), 168 (2019)
Thoidis, I., et al.: Development and evaluation of a tablet-based diagnostic audiometer. Int. J. Audiol. 58(8), 476–483 (2019)
Fletcher, K.T., et al.: Audiology telemedicine evaluations: potential expanded applications. Otolaryngology-Head Neck Surg. 161(1), 63–66 (2019)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2022 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this paper
Cite this paper
Huang, Q., Song, F., Liu, Y., Ma, X. (2022). Design Study and User Evaluation of an Application Model for Self-management and Rehabilitation Training for Users with Hearing Loss. In: Kurosu, M. (eds) Human-Computer Interaction. User Experience and Behavior. HCII 2022. Lecture Notes in Computer Science, vol 13304. Springer, Cham. https://doi.org/10.1007/978-3-031-05412-9_7
Download citation
DOI: https://doi.org/10.1007/978-3-031-05412-9_7
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-031-05411-2
Online ISBN: 978-3-031-05412-9
eBook Packages: Computer ScienceComputer Science (R0)