Abstract
Although it is known that auditory training is essential for hearing-impaired individuals, patients do not willingly participate in auditory training sessions, because individual training is a time-consuming and costly process. Computer-based auditory training programs are under development for reducing the cost and time. The aim of this study is to develop a computer-based auditory training program and to evaluate the usability of the program by applying it to adults with normal hearing indifferent age groups and professions. The developed auditory training program consists of nine modules: identification, discrimination, recognition, auditory closure, comprehension, auditory sequencing, phonological awareness, auditory memory, and attention. Forty adults (age ranges of 25–34, 35–44, 45–54, and 55–65 years), nine audiologists, and one software engineer were included in this study. The computer-based auditory training program was applied to all individuals. An evaluation form was filled out by the participants to evaluate the usability of and satisfaction with the program, and the average performances of the individuals were calculated for each module. The form measures five usability subscales: ease of use, comprehensibility, design, satisfaction, and motivation. The professionals evaluated the program and found it to be quite positive in terms of design, ease of use, motivation, and comprehensibility, and positive in terms of the satisfaction subscale. The participants evaluated all factors and found them to be quite positive. There were no statistically significant differences between the gender, age, and computer use groups in terms of the average performance value of the modules (p > 0.05). However, a significant difference was found in the average performance for the auditory sequencing module considering the educational status of individuals (p = 0.019). Furthermore, it was determined that computer experience (> 5 years) and having a personal computer have a significant effect on auditory memory (p = 0.049) and identification (p = 0.027). These results show that the instructions and information used in the program are clear and understandable, the colors and texts used in the program are readable, the program is easy to use, and the individuals are not disturbed by the sounds used in the program. However, it would be valuable to apply it to individuals with hearing losses to evaluate the efficacy of the program.
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References
Angel Sound Training. http://angelsound.tigerspeech.com. Accessed 14 April 2019
Bernstein C, Bakke M, Mazevski A, Blake-Rahter P, Presley R, Hume K, Plant G, Levitt H (2012) Benefits of speech tracking training on sentence recognition, tracking rate, and self-assessed communication function in adult cochlear implant users. The Journal of the Academy of Rehabilitative Audiology 45:11–39
Bless JJ, Westerhausen R, Kompus K, Gudmundsen M, Hugdahl K (2014) Self-supervised, mobile-application based cognitive training of auditory attention: a behavioral and fMRI evaluation. Internet Interventions 1:102–110
Boothroyd A (2007) Adult aural rehabilitation: what is it and does it work? Trends Amplif 11:63–71
Dietrich V, Nieschalk M, Stoll W, Rajan R, Pantev C (2001) Cortical reorganization in patients with high frequency cochlear hearing loss. Hear Res 158:95–101
Ferré X, Juristo N, Windl H, Constantine L (2001) Usability basics for software developers. IEEE Softw 18:22–29
Fu Q-J, Galvin JJ (2007) Computer-assisted speech training for cochlear implant patients: feasibility, outcomes, and future directions. Semin Hear 2:142–150
George D, Mallery M (2003) Using SPSS for Windows step by step: a simple guide and reference. Boston, MA: Aliyn & Bacon
Göz İ (2003) Yazılı Türkçenin kelime sıklığı sözlüğü (Dictionary of Word Frequency in Written Turkish). Ankara: TDK
Holzinger A (2005) Usability engineering methods for software developers. Commun ACM 48:71–74
Ingvalson EM, Lee B, Fiebig P, Wong PC (2013) The effects of short-term computerized speech-in-noise training on postlingually deafened adult cochlear implant recipients. Journal of Speech, Language and Hearing Research 56(1):81–88.
Kaiser HF (1974) An index of factorial simplicity. Psychometrika 39:31–36
Kirakowski J, Corbett M (1993) SUMI: the software usability measurement inventory. Br J Educ Technol 24:210–212
Kricos PB, Holmes A (1996) Efficacy of audiologic rehabilitation for older adults. J Am Acad Audiol 7:219–229
Larsby B, Hällgren M, Lyxell B, Arlinger S (2005) Cognitive performance and perceived effort in speech processing tasks: effects of different noise backgrounds in normal-hearing and hearing-impaired subjects Desempeño cognitivo y percepción del esfuerzo en tareas de procesamiento del lenguaje: Efectos de las diferentes condiciones de fondo en sujetos normales e hipoacúsicos. Int J Audiol 44:131–143
Lesica NA (2018) Why do hearing aids fail to restore normal auditory perception? Trends Neurosci 41:174–185
Levitt H, Oden C, Simon H, Noack C, Lotze A (2011) Entertainment overcomes barriers of auditory training. The Hearing Journal 64:40–42
Lewis JR (1995) IBM computer usability satisfaction questionnaires: psychometric evaluation and instructions for use. Int J Hum Comput Interact 7:57–78
Maviş İ, Tuncer M (2013) Semantik Akıcılık. Detay Yayıncılık, Ankara
Miller JD, Watson CS, Kistler DJ, Preminger JE, Wark DJ (2008) Training listeners to identify the sounds of speech: II. Using SPATS software. The Hearing Journal 61:29–33
Moore JK, Linthicum FH Jr (2007) The human auditory system: a timeline of development. Int J Audiol 46:460–478
Murphy CF, Rabelo CM, Silagi ML, Mansur LL, Schochat EJFin (2016) Impact of educational level on performance on auditory processing tests. Front Neurosci 10:97
Musiek FE (1994) Frequency (pitch) and duration pattern tests. J Am Acad Audiol 5:265–265
Rankovic CM (1998) Factors governing speech reception benefits of adaptive linear filtering for listeners with sensorineural hearing lossa. J Acoust Soc Am 103:1043–1057
Sattari K, Rahbar N, Ahadi M, Haghani HJF (2020) The effects of a temporal processing-based auditory training program on the auditory skills of elderly users of hearing aids: a study protocol for a randomized clinical trial. F1000Research 9:425
Schumann A, Serman M, Gefeller O, Hoppe U (2015) Computer-based auditory phoneme discrimination training improves speech recognition in noise in experienced adult cochlear implant listeners. Int J Audiol 54:190–198
Srinivasan AG, Padilla M, Shannon RV, Landsberger DM (2013) Improving speech perception in noise with current focusing in cochlear implant users. Hear Res 299:29–36
Stecker GC, Bowman GA, Yund EW, Herron TJ (2006) Perceptual training improves syllable identification in new and experienced hearing aid users. J Rehabil Res Dev 43:537
Sweetow R, Palmer CV (2005) Efficacy of individual auditory training in adults: a systematic review of the evidence. J Am Acad Audiol 16:494–504
Sweetow RW, Sabes JH (2006) The need for and development of an adaptive listening and communication enhancement (LACE™) program. J Am Acad Audiol 17:538–558
Sweetow RW, Sabes JH (2007) Technologic advances in aural rehabilitation: Applications and innovative methods of service delivery. Trends Amplif 11:101–111
Tallus J, Soveri A, Hämäläinen H, Tuomainen J, Laine M (2015) Effects of auditory attention training with the dichotic listening task: behavioural and neurophysiological evidence. PLoS One 10:e0139318
Vitti SV, Blasca WQ, Sigulem D, Pisa IT (2015) Web-based auditory self-training system for adult and elderly users of hearing aids.Studies in Health Technology and Informatics 216:168–172
Wingfield A, Peelle JE (2015) The effects of hearing loss on neural processing and plasticity. Front Syst Neurosci 9:35
Zhang M, Miller A, Campbell MM (2014) Overview of nine computerized, home-based auditory-training programs for adult cochlear implant recipients. J Am Acad Audiol 25:405–413
Acknowledgments
This work was performed as part of the requirements for a PhD degree for Deniz Tuz. The authors thank Technopolis Technoloji Transfer Center of Hacettepe Üniversity, for their assistance with article proofing and editing.
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This work was supported by the Scientific and Technological Research Council of Turkey (TUBITAK) (grant number: 217S326).
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Deniz Tuz and Esra Yücel contributed to the conception of the study and to the text of the paper. DT conducted the evaluation part of the study. Selen Yılmaz Işıkhan supported the study by implementing the data analysis and interpretations.
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All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee (the Hacettepe University Clinical Research Ethics Committee-KA17079) and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards
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Tuz, D., Isikhan, S.Y. & Yücel, E. Developing the computer-based auditory training program for adults with hearing impairment. Med Biol Eng Comput 59, 175–186 (2021). https://doi.org/10.1007/s11517-020-02298-3
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DOI: https://doi.org/10.1007/s11517-020-02298-3