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Aural rehabilitation training plans4/4/2024 Lewis JR (1995) IBM computer usability satisfaction questionnaires: psychometric evaluation and instructions for use. Levitt H, Oden C, Simon H, Noack C, Lotze A (2011) Entertainment overcomes barriers of auditory training. Lesica NA (2018) Why do hearing aids fail to restore normal auditory perception? Trends Neurosci 41:174–185 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. Kricos PB, Holmes A (1996) Efficacy of audiologic rehabilitation for older adults. Kirakowski J, Corbett M (1993) SUMI: the software usability measurement inventory. Kaiser HF (1974) An index of factorial simplicity. Journal of Speech, Language and Hearing Research 56(1):81–88. 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. Holzinger A (2005) Usability engineering methods for software developers. Göz İ (2003) Yazılı Türkçenin kelime sıklığı sözlüğü (Dictionary of Word Frequency in Written Turkish). George D, Mallery M (2003) Using SPSS for Windows step by step: a simple guide and reference. IEEE Softw 18:22–29įu Q-J, Galvin JJ (2007) Computer-assisted speech training for cochlear implant patients: feasibility, outcomes, and future directions. Hear Res 158:95–101įerré X, Juristo N, Windl H, Constantine L (2001) Usability basics for software developers. Internet Interventions 1:102–110īoothroyd A (2007) Adult aural rehabilitation: what is it and does it work? Trends Amplif 11:63–71ĭietrich V, Nieschalk M, Stoll W, Rajan R, Pantev C (2001) Cortical reorganization in patients with high frequency cochlear hearing loss. The Journal of the Academy of Rehabilitative Audiology 45:11–39īless 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. Accessed 14 April 2019īernstein 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. However, it would be valuable to apply it to individuals with hearing losses to evaluate the efficacy of the program. 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. 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). However, a significant difference was found in the average performance for the auditory sequencing module considering the educational status of individuals ( p = 0.019). 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). The participants evaluated all factors and found them to be quite positive. 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 form measures five usability subscales: ease of use, comprehensibility, design, satisfaction, and motivation. 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 computer-based auditory training program was applied to all individuals. 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 developed auditory training program consists of nine modules: identification, discrimination, recognition, auditory closure, comprehension, auditory sequencing, phonological awareness, auditory memory, and attention. 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. Computer-based auditory training programs are under development for reducing the cost and time. 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.
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