Audio Recordings Research Articles

MFCC-Based Sound Classification of Honey Bees

Abstract—Smart beekeeping is a rapidly developing field. Automated detection and classification of honey bees opens many new opportunities for studies on their behavior. In this paper, we focus on distinguishing between two classes of bees: female workers and male drones. The classification is performed on mel-frequency cepstral coefficients obtained for audio recordings of their flights in a close proximity to an entrance to a beehive. We compare the classification accuracy for several classifiers. We investigate how partitioning of the frequency spectrum influences the classification results. The study involves series of experiments performed for different cepstral representations in the form of 5, 10, 15, 20 and 40 mel-frequency cepstral coefficients.

Pronunciation and Spelling Accuracy in English Words with Initial and Final Consonant Clusters by Arabic-Speaking EFL Learners

Arabic phonotactics significantly differ from English phonotactics in that they usually follow a framework that forbids the presence of consonant clusters in syllabic onsets. This study examines the relationship between Arabic-speaking EFL learners’ spelling accuracy and pronunciation, concentrating on the difficulties caused by consonant clusters in initial and final positions. A mixed-methods approach was employed, involving audio recordings to assess pronunciation accuracy and a spelling test to evaluate spelling performance. According to the results, words with initial consonant clusters (clusters at the beginning of a syllable, or onset) are harder to pronounce and spell than words with final consonant clusters (clusters that follow the vowel). Initial consonant clusters are considered to demand a quick transition in consonants at the start of a syllable, requiring more exact articulation. On the other hand, final clusters allow for a more progressive and straightforward articulation by involving a consonant transition following the initial vowel sound. Additionally, epenthesis may be used as a method to break up consonant clusters in L1 phonological interference, which is consistent with Arabic phonotactic patterns.

Agenda Setting in Outpatient Consultation of Older Adults With Long-COVID.

Agenda setting in doctor-patient interaction refers to the process when various agendas are presented and responded to. This study revealed how Long-COVID (LC) agenda items are managed by older adults and doctors during outpatient consultations. Based on audio recordings, we adopted Conversation Analysis (CA) to unveil under what circumstances the patient or the doctor set the agenda and how they collaboratively work to develop an LC topic. Data was transcribed in accordance with the transcription conventions developed by Jefferson. Agendas were divided into three categories, namely primary, additional, and unmet agenda items. LC agendas were identified with specific characteristics based on qualitative analysis and older adults tended to seek more medical assistance, particularly concerning their chronic diseases. We observed that patients initiate agendas more often than doctors and it could happen at any stage of the visit, both parties can resist expanding the agenda, mostly in an indirect way, and agendas that contain more information with simpler turn-constructions are more likely to be well-addressed. Better quality of consultation was found when doctors sensitively detect the emotional change and the potential issues of the patients when they prevaricate to avoid the relevance of the previous infection. The findings also suggested that understanding the dynamics of agenda setting in consultations could lead to improvements in medical visit outcomes. Patients and doctors in the study were colleagues in a university hospital. They were involved in various stages of this study to ensure it addresses real-world concerns and improves healthcare outcomes. Throughout data collection, patients contributed by allowing their consultations to be recorded and providing feedback on their experiences. Findings were discussed with a patient advisory group to ensure the interpretations aligned with patient perspectives. Doctors were also actively engaged in disseminating the results through later consultations, ensuring broad accessibility and practical application of the research outcomes.

Versatile Foldable Inkjet‐Printed Thermoacoustic Loudspeaker on Paper

AbstractThe rise of flexible electronics has sparked a demand for components, such as loudspeakers, that seamlessly integrate into various applications while maintaining their performance. However, current loudspeakers typically rely on electromechanical systems, necessitating significant space for components such as coils and magnets. This limits their flexibility and usage in thin, conformable devices. To address this, a paper‐based thermoacoustic (TA) loudspeaker utilizing carbon nanotubes (CNTs) via inkjet printing is introduced. This TA loudspeaker demonstrates exceptional flexibility and durability, maintaining high acoustic performance across human‐audible frequencies up to 20 kHz, even when subjected to extensive mechanical deformation. Additionally, employing inkjet printing technology streamlines their manufacturing processes, offering a cost‐effective solution with scalability for mass production. Furthermore, an origami‐inspired 3D folding architecture enhances the loudspeaker's portability and enables versatile shape configurations, thus broadening its utility across electronic devices. These demonstrations offer a potential solution for next‐generation audio systems in flexible electronics.

Physiotherapy Undergraduate Students’ Perception About Clinical Education; A Qualitative Study

Background: Clinical education is an important component of physiotherapy education programs. It provides insights to the students in the fields of physiotherapy practice, develops leadership, and enhances their clinical skills in patient assessment, examination, diagnosis, treatment, planning, and intervention selection. The dimension of physiotherapy education is in the developing phase in Nepal. For further growth, the experience and the perception of the students are very important. Through this, the facilitators and barriers in physiotherapy clinical education need to be recognized. Therefore, this study aimed to explore the facilitators and barriers in physiotherapy clinical education in Nepal from a student’s perspective. Objectives: The main objective of this study was to identify the perception of physiotherapy undergraduate students about their clinical education and to find out the facilitators and barriers in clinical education. Methods: A qualitative research using focused group discussion was conducted. Ethical considerations were taken from respective departments and IRC approval was taken. BPT 3rd year, 4th year, and intern students of KUSMS were called to participate in the study. After the consent from the participants, focus groups of 6 participants (2 participants from each 3rd year, 4th year, and intern) were formed. In five FGDs, data saturation was observed and no further FGDs were conducted. FGDs were collected with audio tape recordings. The data were transcribed verbatim and translated into the English language. Then data coding was done and themes and sub-themes were generated from the codes. Results: Through the transcribed and translated data, seven themes were generated which were clinical education, student expectation, student attitude and behavior, roles and responsibilities of clinical educators, exposure, resources, and miscellaneous. These headings explained the perception of facilitators and barriers. Conclusion: The facilitators and barriers to physiotherapy clinical education were identified through student’s perspectives. These findings should be considered while preparing the guiding document for clinical education to enhance the quality of education.

Performance Comparison of Junior Residents and ChatGPT in the Objective Structured Clinical Examination (OSCE) for Medical History Taking and Documentation of Medical Records: Development and Usability Study.

This study explores the cutting-edge abilities of large language models (LLMs) such as ChatGPT in medical history taking and medical record documentation, with a focus on their practical effectiveness in clinical settings-an area vital for the progress of medical artificial intelligence. Our aim was to assess the capability of ChatGPT versions 3.5 and 4.0 in performing medical history taking and medical record documentation in simulated clinical environments. The study compared the performance of nonmedical individuals using ChatGPT with that of junior medical residents. A simulation involving standardized patients was designed to mimic authentic medical history-taking interactions. Five nonmedical participants used ChatGPT versions 3.5 and 4.0 to conduct medical histories and document medical records, mirroring the tasks performed by 5 junior residents in identical scenarios. A total of 10 diverse scenarios were examined. Evaluation of the medical documentation created by laypersons with ChatGPT assistance and those created by junior residents was conducted by 2 senior emergency physicians using audio recordings and the final medical records. The assessment used the Objective Structured Clinical Examination benchmarks in Taiwan as a reference. ChatGPT-4.0 exhibited substantial enhancements over its predecessor and met or exceeded the performance of human counterparts in terms of both checklist and global assessment scores. Although the overall quality of human consultations remained higher, ChatGPT-4.0's proficiency in medical documentation was notably promising. The performance of ChatGPT 4.0 was on par with that of human participants in Objective Structured Clinical Examination evaluations, signifying its potential in medical history and medical record documentation. Despite this, the superiority of human consultations in terms of quality was evident. The study underscores both the promise and the current limitations of LLMs in the realm of clinical practice.

Strategies for Preserving Analog Collections in Digital Format as a Preventive Measure: A Systematic Literature Review

Background: Nowadays, various analog collections like cassettes, vinyl records, and VCDs circulate broadly within society. However, despite technological advancements, few institutions—whether governmental or private—have undertaken the task of digital preservation, even though the information contained within these collections holds significant value for future generations. The safeguarding of collections in analog formats, including cassettes, VCDs, and vinyl records, is essential due to the wealth of information they hold for future generations. Thus, preservation efforts are undertaken as a proactive strategy to ensure that the valuable content within these collections remains accessible for an extended period ahead. Purpose: To examine the transformation of analog collections into digital formats through preservation activities. Method: The method used in this study is the Systematic Literature Review (SLR). Results: The findings indicate that numerous organizations, encompassing both private and public sectors, have engaged in efforts to convert analog collections, including CDs, VCDs, and vinyl records, into digital formats. This awareness underscores the significance of these initiatives, ensuring that the information contained within the collections remains accessible for future use. Conclusion: The items typically safeguarded include video cassettes, audio recordings, and vinyl records, with the preservation method involving digitization or conversion of media functionalities. The most extensively maintained microfiche collections, as these collections continue to be utilized by the Indonesian populace. There remain individuals who engage in the preservation process by hand, yet gradually, they have begun to incorporate contemporary technology.

Laporan Hasil Asesmen Diagnostik Non-Kognitif: Identifikasi Sosial Emosional dan Gaya Belajar Peserta Didik di SMA Negeri 3 Kejuruan Muda

It is important to understand that students' academic achievement is not only influenced by their cognitive abilities, but also by non-cognitive factors such as social-emotional skills and learning styles. In an effort to improve the quality of education and facilitate the optimal development of students at SMA Negeri 3 Kejuruan Muda, it is hoped that the report on the results of the non-cognitive diagnostic assessment can be a strong foundation for SMA Negeri 3 Kejuruan Muda in developing holistic, adaptive, and student-centered learning strategies. Through a better understanding of the social-emotional aspects and learning styles, schools can create a learning environment that supports not only academic achievement, but also students' optimal personal and social development. Thus, this study aims to (1) Identify students' social-emotional abilities and areas that require further support. (2) Assess students' learning styles to adjust teaching methods to their preferences. (3) Provide recommendations based on assessment results to improve support and learning strategies in schools. This study uses a qualitative descriptive approach with data collection through a google form questionnaire distributed to all students of SMA Negeri 3 Kejuruan Muda. The results of the study showed that 10.5% of students had high social emotional abilities, 60.5% of their social emotional abilities were said to be sufficient, 27.8% needed improvement and 1.2% needed significant development by BK teachers or counselors. Meanwhile, the Learning Styles possessed by students at SMAN 3 Kejuruan Muda were 40% Visual learning style, 30% Auditory learning style and 30% Kinesthetic learning style. Furthermore, the recommended treatment recommendations for students with high levels of social emotional abilities are to become peer counselors, students who have moderate social emotional abilities can be guided by peer counselors and students who have low levels of social emotional abilities require guidance by BK teachers or professional counselors. Meanwhile, recommendations for visual learning styles can be presented with learning media in the form of images, videos or slides, auditory learning styles are presented with learning media in the form of audio recordings or listening to explanations from teachers and kinesthetic learning styles can be included in games, simulations, practicums, projects and demonstrating learning materials.

A qualitative study exploring barriers and facilitators in deceased organ donation process among transplant coordinators in India

Although India’s organ donation rate is less than 1 per million population, significant disparities exist between the regions and centres within the country, leading to varying consent rates among different organ donation centres. Therefore, this study aimed to understand the experience of transplant coordinators and their barriers and facilitators in the deceased organ donation process across various organ donation centres in India. A phenomenological study using interviews was conducted among fourteen transplant coordinators purposefully recruited from public and private organ donation centres in India, with experience between six years and more than a decade. Audio recordings were transcribed and analysed using framework analysis. Five themes were identified namely: (1) supportive management policies, (2) infrastructure for the deceased organ donation process, (3) delays in the processing time, (4) active involvement in the identification process, and (5) explaining the concept of brain death. The study identifies that implementation priorities include strengthening teamwork, streamlining processes, optimising infrastructure for sensitive discussions, efficient donor identification, and empathetic handling of donor families’ grief stages. Collaborating with law enforcement, applying successful medico-legal strategies, improving family communication, and clarifying brain death concepts ethically and legally can boost consent rates, fostering informed decisions and possibly achieving self-sufficiency in deceased organ donation.

Optimized technique for speaker changes detection in multispeaker audio recording using pyknogram and efficient distance metric.

Segmentation process is very popular in Speech recognition, word count, speaker indexing and speaker diarization process. This paper describes the speaker segmentation system which detects the speaker change point in an audio recording of multi speakers with the help of feature extraction and proposed distance metric algorithms. In this new approach, pre-processing of audio stream includes noise reduction, speech compression by using discrete wavelet transform (Daubechies wavelet 'db40' at level 2) and framing. It is followed by two feature extraction algorithms pyknogram and nonlinear energy operator (NEO). Finally, the extracted features of each frame are used to detect speaker change point which is accomplished by applying dissimilarity measures to find the distance between two frames. To realize it, a sliding window is moved across the whole data stream to find the highest peak which corresponds to the speaker change point. The distance metrics incorporated are standard "Bayesian Information Criteria (BIC)", "Kullback Leibler Divergence (KLD)", "T-test" and proposed algorithm to detect the speaker boundaries. At the end, threshold value is applied and their results are evaluated with Recall, Precision and F-measure. Best result of 99.34% is shown by proposed distance metric with pyknogram as compare to BIC, KLD and T-test algorithms.

Pre-service teachers' understanding of teaching L2 French interactional competence through TBLT: Insights from task design processes and post-implementation reflections

This paper reports on a university seminar for pre-service teachers (PST) of L2 French in which a conversation analytic concept of language use was combined with the methodology of task-based language teaching (TBLT) to teach L2 interactional competence (L2 IC). In the course, participants carried out a needs analysis, designed pedagogical tasks that focused on teaching L2 IC and trialed them in real classrooms before evaluating both their tasks' success and their own learning process. In a post-hoc study, data gathered from the course including pre-design comments, written design rationales, audio recordings of the group design meetings, oral and written feedback and post-implementation comments were analyzed using Qualitative Content Analysis to find out in what respects the PST's cognition with regard to teaching L2 IC changed during the seminar. The results show that there were some dynamics in the PST's cognition, particularly regarding their view of learner factors in task accomplishment and the targeting of specific social actions. Other aspects of PST's cognition remained more stable as their initial beliefs were confirmed by the task design process.

Unexpected soundscape response to insecticide application in oak forests.

Rachel Carson's warning of a silent spring directed attention to unwanted side effects of pesticide application. Though her work led to policies restricting insecticide use, various insecticides currently in use affect nontarget organisms and may contribute to population declines. The insecticide tebufenozide is used to control defoliating Lepidoptera in oak forests harboring rich insect faunas. Over 3years, we tested the effect of its aerial application on bird populations with autonomous sound recorders in a large, replicated, full factorial field experiment during a spongy moth (Lymantria dispar) outbreak. The soundscape analysis combined automated aggregation of recordings into sound indices with species identification by experts. After pesticide application in the year of the outbreak, acoustic complexity in early summer was significantly reduced. The soundscape analysis showed that the reduction was not related to birds, but instead to the large reduction in caterpillar feeding and frass dropping. Effects on the vocal activity of birds were smaller than originally expected from a related study demonstrating tebufenozide's negative effect on bird breeding success. The legacy of the pesticide treatment, in terms of soundscape variation, was not present in the second year when the outbreak had ended. Our results showed a dimension of insecticide-induced acoustic variation not immediately accessible to the human ear. It also illustrated how a multifaceted soundscape analysis can be used as a generic approach to quantify the impact of anthropogenic stressors in novel ways by providing an example of remote and continuous sound monitoring not possible in conventional field surveys.

A 'how-to' guide for estimating animal diel activity using hierarchical models.

Animal diel activity patterns can aid understanding of (a) how species behaviourally adapt to anthropogenic and natural disturbances, (b) mechanisms of species co-existence through temporal partitioning, and (c) community or ecosystem effects of diel activity shifts. Activity patterns often vary spatially, a feature ignored by the kernel density estimators (KDEs) currently used for estimating diel activity. Ignoring this source of heterogeneity may lead to biased estimates of uncertainty and misleading conclusions regarding the drivers of diel activity. Thus, there is a need for more flexible statistical approaches for estimating activity patterns and testing hypotheses regarding their biotic and abiotic drivers. We illustrate how trigonometric terms and cyclic cubic splines combined with hierarchical models can provide a valuable alternative to KDEs. Like KDEs, these models accommodate circular data, but they can also account for site-to-site and other sources of variability, correlation amongst repeated measures, and variable sampling effort. They can also more readily quantify and test hypotheses related to the effects of covariates on activity patterns. Through empirical case studies, we illustrate how hierarchical models can quantify changes in activity levels due to seasonality and in response to biotic and abiotic factors (e.g. anthropogenic stressors and co-occurrence). We also describe frequentist and Bayesian approaches for quantifying site-specific (conditional) and population-averaged (marginal) activity patterns. We provide guidelines and tutorials with detailed step-by-step instructions for fitting and interpreting hierarchical models applied to time-stamped data, such as those recorded by camera traps and audio recorders. We conclude that this approach offers a viable, flexible, and effective alternative to KDEs when modelling animal activity patterns.

The grammatical aspect of personal pronoun acquisition

The article discusses the grammatical aspect of learning personal pronouns in the Russian language. Studying the specific features of their use in the first year of ontogenesis sheds light on the formation of predicative relations, the agreement (coordination) mechanism of the subject and the predicate, the development of types and forms of the subject and the predicate. The paper traces the stages of predication involving personal pronouns. In particular, it examines the prerequisites for coordination and identifies the typical properties of Ya- / I-, ty- / you- and on- / he-utterances in children’s speech. The material for the analysis is three longitudinal corpora of audio and video recordings (70 hours) of dialogic interaction between adults and typically developing young children. Spontaneous speech was transcribed and coded in accordance with international standards. The study has shown that predicative relations develop from a syncretic representation of the subject and predicate components to a disjunct one, from the absence of formal agreement between them to its presence, from the verbless use of personal pronouns to the verbal one. The common and individual features of the functioning of utterances with personal pronouns in the informants’ speech are confirmed statistically.

Lightweight acoustic hyperbolic paraboloid diaphragms with graphene through self-assembly nanoarchitectonics

ABSTRACT The paper presents a study on the fabrication of a lightweight acoustic hyperbolic paraboloid (HyPar) diaphragm using self-assembly nanoarchitectonics. The diaphragm is composed of a polyacrylonitrile (PAN) network combined with graphene oxide (GO) nanolayers. Spray coating is employed as a fabrication method, providing a simple and cost-effective approach to create large-scale curved diaphragms. The results demonstrate that the PAN/GO diaphragm exhibits acoustic performance comparable to a commercially available banana pulp diaphragm while significantly reducing weight and thickness. Notably, the graphene-based diaphragm is 15 times thinner and 8 times lighter than the commercial banana pulp diaphragm. This thinner and lighter nature of the graphene-based diaphragm offers advantages in applications where weight and size constraints are critical, such as in portable audio devices or acoustic sensors.

The Resilience and Lived Experiences of the Parents of Children With Autism in India: A Mixed-method Study

Background and Objectives: Families dealing with autism spectrum disorder (ASD) children try to adapt with different strategies. 1) To assess the resilience of parents dealing with children having ASD and its associated factors. 2) To explore the perspective and strategies of families dealing with children having ASD Methods: This was a mixed-methods study done over a period of 3 months among parents having children diagnosed with ASD; undergoing institutional therapy for more than 6 months in duration. Data collection was done using the PREQ questionnaire and key informant interviews (KII). Informed consent was taken prior to each interview and audio recordings. Relevant tests of significance and deductive analysis followed. Results: There was an equal divide observed between the low (50%) and high resilience (50%) groups. Binary logistic regression showed that the upper socio-economic class showed higher odds of better resilience (OR=4.038, 95% CI, 2.857%, 4.894%) as compared to the lower socio-economic class, and those with higher levels of education showed better resilience (OR=9.903, 95% CI, 2.502%, 3.483% than the lesser educated. KII explored different perspectives on personal experiences, concerns, challenges, attitudes, etc. where both perspectives such as benefits and hardships were addressed on an individual as well as a family basis, respectively Conclusion: Education and socio-economic backgrounds played a role in mending the resilience and other active measures such as peer support mechanisms and self-coping strategies also influenced the attitude and improved determination of parents dealing with children having ASD.

Ai-Driven Advances and Challenges in Deepfake Technology: A Comprehensive Review

Deepfake technology has completely changed the production of synthetic media by allowing the alteration of photos, movies, and audio recordings. It is driven by machine learning and artificial intelligence algorithms. Deepfake provide a lot of amusement and artistic freedom, but they also pose serious problems, especially when it comes to disinformation and digital manipulation. This paper offers a thorough introduction to deepfake technology, covering all of its types, including voice synthesis, gesture control, and face-swapping. The research article delves into the fundamental workings of deepfake generation, emphasizing the part played by convolutional neural networks and generative adversarial networks in producing lifelike artificial content. The paper also investigates the methods and strategies used in detection, with a focus on the latest developments in deep neural network architectures, attention-based models, and hybrid approaches. This review article also focuses on availability of standard datasets and performance parameters for the evaluation of research models. With the aim to provide contribution to help researchers to create reliable and efficient deepfake detection systems that can stop the distribution of manipulated media and ensure the accuracy of digital content by tackling various issues, paper also focuses on key challenges and future work.

Written Ladakhi and the Future of Ladakh’s Culture

This study explores Written Ladakhi and the future of Ladakh’s culture in the newly formed Union Territory of Ladakh, India. The Ladakhi language is at a critical pivotal period. Its survival in the next two generations depends directly on the introduction of the Ladakhi language in its written form in the educational system. Using written Ladakhi for real communication is the key to survival. Spoken Ladakhi is still widely used in the home and in public, as well as at formal events, All India Radio Leh, television, and millions of audio and video recordings on social media and internet sites. However, because Ladakhi is not used in schools, the next generation is likely to find other languages more suitable for daily use, and the language is on the verge of extinction. Historically, no doubt, Ladakh and several other regions of the Indian Himalayas have shared a common literary heritage with Tibet. The Ladakhi language and culture have immense potential for development: it is shared by Buddhists, Muslims, Christians and others; the culture is valued by many non-local Indians and tourists; and it houses a major monument of world literature, the Kesar Epic. Therefore, an effort is being made in the present article to highlight the existing written corpus in Ladakhi and provide some information about the differences between literary varieties present in the region, and some language policy issues facing the Ladakhi language, its survival and potential development.

A matter of time and space: reflections on the use of chatbots to assist the collection of audio diaries during the COVID-19 pandemic in Brazil

ABSTRACT The use of qualitative audio diaries in research allows people to generate multi-occasion reports of events in their natural, spontaneous contexts in a recorded audio format. Recent technological advances have enabled more rapid, spontaneous means for audio diaries recordings, such as smartphones. This article reports on methodological insights regarding the feasibility and contributions of using chatbots – digital systems that provide an interface for interaction with users that emulate human conversation – to assist the collection of audio diaries. We describe the development of a WhatsApp chatbot for the remote collection and sharing of audio files using a diary format. Methodological considerations are presented, drawing from the results of a remote collection of spoken reports from 19 Brazilian undergraduate students who were experiencing social isolation due to COVID-19 pandemic-related containment measures. Results emphasize the temporal aspect of the data collection process, and indicate that the tool allowed participants to generate accounts depicting changes in their understanding of perceptions and experiences over time. Although leveraging digital technology and conversational-like features of chatbots may promote greater participation and less participant burden, results also suggest that using pre-scripted prompts in the form of open questions may pose a challenge for reflexive engagement with audio diaries.

Mobile App for Patients With Chronic Obstructive Pulmonary Diseases During Home-Based Exercise Care: Usability Study.

Digital health tools have demonstrated promise in the treatment and self-management of chronic diseases while also serving as an important means for reducing the workload of health care professionals (HCPs) and enhancing the quality of care. However, these tools often merely undergo large-scale testing or enter the market without undergoing rigorous user experience analysis in the early stages of their development, leading to frequent instances of low use or failure. This study aims to assess the usability of and satisfaction with a mobile app designed for the clinical monitoring of patients with chronic obstructive pulmonary disease undergoing pulmonary rehabilitation at home. This study used a mixed methods approach involving two key stakeholders-patients with chronic obstructive pulmonary disease and HCPs-across three phases: (1) mobile app mock-up design, (2) usability testing, and (3) satisfaction evaluation. Using convenience sampling, participants were grouped as HCPs (n=12) and patients (n=18). Each received a tablet with mock-ups for usability testing through interviews, with audio recordings transcribed and analyzed anonymously in NVivo12.0, focusing on mock-up features and usability insights. Task difficulty was rated from 1 (very easy) to 5 (very difficult), with noncompletion deemed a critical error. Usability satisfaction was measured on a 5-point Likert scale from 1 (strongly disagree) to 5 (strongly agree). The research indicated a notable difference in app usability perceptions: 66% (8/12) of HCPs found tasks "very easy," compared to only 22% (4/18) of patients. Despite this, no participant made critical errors or withdrew, and satisfaction was high. HCPs completed tasks in about 20 minutes, while patients took 30. Older adults faced challenges with touch screens and scroll menus, suggesting the need for intuitive design aids like auditory support and visual health progress indicators, such as graphs. HCPs noted potential data delays affecting service, while non-native-speaking caregivers faced interpretation challenges. A secure pairing system for privacy in teleconsultations proved difficult for older users; a simpler icon-based system is recommended. This study highlights the need to consider stakeholder abilities in medical app design to enhance function implementation. Most HCPs (11/12, 91%) found the app intuitive, though they recommended adding icons to show patient progress to support clinical decisions. In contrast, 62% (11/18) of patients struggled with tablet navigation, especially with connectivity features. To ensure equitable access, the design should accommodate older users with diverse abilities. Despite challenges, both groups reported high satisfaction, with patients expressing a willingness to learn and recommending the app. These positive usability evaluations suggest that, with design improvements, such apps could see increased use in home-based care.