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Background: Cochlear implants are implanted hearing devices; instead of amplifying sounds like common hearing aids, this technology delivers preprocessed sound information directly to the hearing (ie, auditory) nerves. After surgery and the first cochlear implant activation, patients must practice interpreting the new auditory sensations, especially for language comprehension. This rehabilitation process is accompanied by hearing therapy through face-to-face training with a therapist, self-directed training, and computer-based auditory training., Objective: In general, self-directed, computer-based auditory training tasks have already shown advantages. However, compliance of cochlear implant recipients is still a major factor, especially for self-directed training at home. Hence, we aimed to explore the combination of 2 techniques to enhance learner motivation in this context: adaptive learning (in the form of an intelligent tutoring system) and game-based learning (in the form of a serious game)., Methods: Following the suggestions of the evidence-centered design framework, a domain analysis of hearing therapy was conducted, allowing us to partially describe human hearing skill as a probabilistic competence model (Bayesian network). We developed an algorithm that uses such a model to estimate the current competence level of a patient and create training recommendations. For training, our developed task system was based on 7 language comprehension task types that act as a blueprint for generating tasks of diverse difficulty automatically. To achieve this, 1053 audio assets with meta-information labels were created. We embedded the adaptive task system into a graphic novel-like mobile serious game. German-speaking cochlear implant recipients used the system during a feasibility study for 4 weeks., Results: The 23 adult participants (20 women; 3 men) fulfilled 2259 tasks. In total, 2004 (90.5%) tasks were solved correctly, and 255 (9.5%) tasks were solved incorrectly. A generalized additive model analysis of these tasks indicated that the system adapted to the estimated competency levels of the cochlear implant recipients more quickly in the beginning than at the end. Compared with a uniform distribution of all task types, the recommended task types differed (χ² 6 =86.713; P<.001), indicating that the system selected specific task types for each patient. This is underlined by the identified categories for the error proportions of the task types., Conclusions: This contribution demonstrates the feasibility of combining an intelligent tutoring system with a serious game in cochlear implant rehabilitation therapies. The findings presented here could lead to further advances in cochlear implant care and aural rehabilitation in general., Trial Registration: German Clinical Trials Register (DRKS) DRKS00022860; https://drks.de/search/en/trial/DRKS00022860., (©Florian Gnadlinger, Maika Werminghaus, André Selmanagić, Tim Filla, Jutta G Richter, Simone Kriglstein, Thomas Klenzner. Originally published in JMIR Serious Games (https://games.jmir.org), 03.12.2024.)

Purpose: This study aims to introduce an assessment questionnaire based on the International Classification of Functioning, Disability and Health (ICF) to enable quantifiable clinical documentation. The questionnaire assists speech-language therapists (SLTs) in evaluating both non-audiological and audiological rehabilitation outcomes of patients with cochlear implants (CIs)., Method: Six SLTs were recruited to evaluate the effectiveness of CI care using ICF criteria. We carefully selected 20 pertinent ICF criteria, and SLTs received thorough training in how to apply them uniformly. A cohort of 48 patients was evaluated at three distinct time points: presurgery, postsurgery, and 6 months post-initial CI fitting. Patients underwent dedicated speech-language therapy sessions throughout the treatment course., Results: A total of 144 complete datasets were scrutinized using a two-factor analysis of variance for ranks. Following CI care, patients exhibited substantial improvements in auditory perception, characterized by enhanced sound recognition and speech discrimination. Additionally, patients demonstrated improved attentional focus, proficiency in daily tasks and increased conversational engagement over time. Environmental factors, particularly sound perception, improved markedly, correlating with reported reductions in stress levels. Minimal changes were noted in stress management and communication techniques. Articulatory function, speech functions, and pain perception exhibited the least alteration., Conclusions: The data extracted from the ICF-based assessments underscore the vital significance of incorporating speech therapy-based metrics to evaluate both non-audiological and audiological factors in assessing the success of CI care within the SLTs domain. This approach proves to be highly relevant both in terms of demonstration and clinical applicability.

Background and Objective: Within the context of an interdisciplinary research project, we created a cutting-edge prototype of an adaptive digital auditory training system designed for cochlear implant (CI) users. By leveraging the evidence-centered design (ECD) framework, we integrated a dynamic difficulty adjustment feature that tailors the experience to the unique performance capabilities of each individual user., Methods: The ECD provides a conceptual design framework suitable for complex assessments of competence and dynamic performance. In the first phase, the domain of hearing was first defined in the context of CI users. In the development phase the three core models of the ECD, the competence model, the evidence model, and the task model, were developed and implemented. In addition, an asset pool of sound and language files was created, which included comprehensive linguistic feature descriptions for calculating item difficulties., Results: Based on the requirements described, an adaptive exercise generator, an AI service, and other components were implemented. This included the development of a game environment and a dashboard for patient data management. The exercises' difficulty levels were determined based on various parameters (e.g., sound, word frequency and number of words, grammatical properties) in combination with defined task types and levels., Conclusion: An adaptive digital auditory training system can help to supervise and train CI patients in a continuous, interactive process based on their individual needs. We see the ECD as an effective way to build a user-based adaptive system., (© 2024. The Author(s).)