User Feedback Research Articles

Research on intelligent building decoration design and user experience based on VR technology

The continuous development of virtual reality (VR) technology has been widely used in all walks of life, bringing unprecedented design possibilities and user experience improvement to the field of architectural decoration design. This paper aims to explore how to use VR technology for intelligent building decoration design and evaluate its impact on user experience through empirical research. Firstly, through the review of relevant literature at home and abroad, the application status and development trend of VR technology in architectural decoration design is sorted out. Then, the design process and implementation scheme based on VR technology are introduced in detail, and the design framework suitable for different application scenarios is constructed. Then, through the design of the user experience evaluation index system, using the combination of qualitative and quantitative methods, the intelligent decoration design scheme based on VR technology is systematically evaluated. Finally, select a typical case for in-depth analysis, show the application effect of VR technology in actual projects, and summarize the feedback of users. The research results show that the intelligent building decoration design based on VR technology can not only improve the design efficiency and quality but also significantly enhance the user's sense of immersion and satisfaction, providing a new perspective and development direction for future architectural design. In addition, this paper also points out the challenges in this field and the possible research directions in the future, which provides a valuable reference for subsequent scholars.

Analysis and Design of UI/UX Models for Elderly Users in Digital Agricultural Business Transformation

Digital agriculture faces challenges, namely in integrating Elderly People (SENIORS) in digital transformation. The purpose of the study is to analyze and design UI/UX models according to user needs, expectations, and challenges. The method used is the Design Thinking approach which begins with literature study, then interviews are conducted to identify problems faced by users, and analyze the need to determine problem priorities. UI/UX prototypes are carried out to design solutions that suit user needs, and evaluations are carried out to collect user feedback. The data is assessed through the System Usability Scale (SUS) approach to appraise the designed user interface (UI). The evaluation results showed a "good" rating based on the SUS category, with a final average score of 74,391, so that the solutions designed meet usability standards for SENIORS users in the context of digital agriculture. Thus, the research carried out contributes to increasing the effectiveness and adoption of SENIORS in digital agriculture, as well as by designing user-friendly UI/UX models, making an important step towards inclusive and sustainable digital agriculture.

Continuous adaptation of conversation aids for uterine fibroids treatment options in a four-year multi-center implementation project

BackgroundFibroids are non-cancerous uterine growths that can cause symptoms impacting quality of life. The breadth of treatment options allows for patient-centered preference. While conversation aids are known to facilitate shared decision making, the implementation of these aids for uterine fibroids treatments is limited. We aimed to develop two end-user-acceptable uterine fibroids conversation aids for an implementation project. Our second aim was to outline the adaptations that were made to the conversation aids as implementation occurred.MethodsWe used a multi-phase user-centered participatory approach to develop a text-based and picture-enhanced conversation aid for uterine fibroids. We conducted a focus group with project stakeholders and user-testing interviews with eligible individuals with symptomatic uterine fibroids. We analyzed the results of the user-testing interviews using Morville’s Honeycomb framework. Spanish translations of the conversation aids occurred in parallel with the English iterations. We documented the continuous adaptations of the conversation aids that occurred during the project using an expanded framework for reporting adaptations and modifications to evidence-based interventions (FRAME).ResultsThe first iteration of the conversation aids was developed in December 2018. Focus group participants (n = 6) appreciated the brevity of the tools and suggested changes to the bar graphs and illustrations used in the picture-enhanced version. User-testing with interview participants (n = 9) found that both conversation aids were satisfactory, with minor changes suggested. However, during implementation, significant changes were suggested by patients, other stakeholders, and participating clinicians when they reviewed the content. The most significant changes required the addition or deletion of information about treatment options as newer research was published or as novel interventions were introduced into clinical practice.ConclusionsThis multi-year project revealed the necessity of continuously adapting the uterine fibroids conversation aids so they remain acceptable in an implementation and sustainability context. Therefore, it is important to seek regular user feedback and plan for the need to undertake updates and revisions to conversation aids if they are going to be acceptable for clinical use.

SISTEM INFORMASI MEDIA PROMOSI DAN PEMBELAJARAN KELOMPOK TARUNA TANI AULIA

This research focuses on the challenges faced by the Taruna Tani Aulia group in educating farmers about the transition from chemical fertilizers to organic fertilizers. Many farmers find the process of producing organic fertilizers complex and time-consuming, making them reluctant to switch. To address this issue, this study developed an information system that serves as both a promotional tool and a learning platform, facilitating the dissemination of information on the benefits of organic fertilizers and promoting organic fertilizer products sold by Taruna Tani Aulia. The system was developed using the Prototyping Method, allowing for iterative testing and evaluation with direct user feedback. The system was built using the Next.js framework to streamline the development process. The results of testing using the Mean Opinion Score indicated a high level of user acceptance, with a User Acceptance Test score of 87.8%. This suggests that the system is feasible and effective in supporting the promotion and education of organic fertilizers. In conclusion, this information system can help farmers more easily understand and adopt organic farming practices, as well as simplify their access to purchasing organic fertilizers without the need to produce them independently.

Stair Climbing Electric Wheelchair

From 18 century many types of wheelchairs had been designed, by developing its functionality. Our project focuses on addressing the mobility challenges faced by individuals with disabilities, particularly those who encounter difficulties navigating staircases. The project introduces a novel solution in the form of an electric stair- climbing wheelchair designed to provide enhanced accessibility in both indoor and outdoor environments. The wheelchair incorporates innovative technologies, including electric motors and intelligent control systems, to enable seamless and safe navigation on various types of stairs. The important parts of this product are conveyor belt, frame and driving mechanism climbing wheelchair for regular use by old disabled people. The design of frame will be done by considering various loads, stresses at various positions. The main factor of wheelchair are the angle of stair and center of gravity of whole system. The design process involves considerations for user comfort, safety, and ease of operation, with a particular emphasis on accommodating diverse user needs. Through a combination of both electrical and mechanical engineering principles and modern electronics, the wheelchair is equipped to ascend and descend stairs smoothly, offering a versatile solution for individuals with mobility impairments. We also plan to explore user feedback and ergonomic evaluations to refine the wheelchair's design and functionality. Preliminary testing would be done to demonstrates the feasibility and effectiveness of the proposed solution in real-world scenarios. The findings of this study contribute to the ongoing efforts to improve the quality of life for individuals with disabilities by expanding their mobility options and promoting inclusivity in various environments.

Rapid Prototyping Technology: A Driving Force in Product Design Innovation

Abstract: This paper explores the transformative impact of rapid prototyping on product design processes across various industries. Rapid prototyping, characterized by its ability to quickly create physical models from digital designs, significantly enhances the iterative design phase, facilitating early testing and validation of concepts. RP includes the integration of technologies such as 3D printing, computer-aided design (CAD), and additive manufacturing in accelerating product iterations, reducing time-to-market, and fostering innovation. Rapid prototyping (RP) has emerged as a transformative approach in product development, significantly enhancing design processes across various industries. Sectors including automotive, consumer electronics and healthcare show how rapid prototyping streamlines communication among stakeholders, enhances user feedback incorporation, and reduces production costs

Answering an “SOS”: A 12-Month Review of An Urban Pathfinder Service

Abstract Background The Pathfinder service is a collaboration between the National Ambulance Service (NAS) and acute hospital Physiotherapists (PT) and Occupational Therapists (OT). The service aims to safely treat over-65s who have called 999 with low-acuity problems at home. It offers safe alternative care pathways to traditional Emergency Department (ED) attendance to older adults within our hospital catchment area (Bernard et al. 2021). Methods A retrospective review of the service database for 2023 was completed. A patient experience survey was conducted over a 4-week period in Quarter 4 of 2023. The survey consisted of both Likert scale and open-ended questions. Service statistics and Likert data were analysed in Microsoft Excel, while open-ended responses were analysed thematically. Results A total of 598 calls were received by our Pathfinder service in 2023: live 999 calls (n=407), and “Special Services” (SS) calls from Dublin Fire Brigade (n=191). 55% of live 999 call referrals attended by Pathfinder were safely kept at home. Of 191 SS referrals, 35% (n=66) had a review by the Pathfinder team. Of the 66 assessed, 94% (n=62) were safely kept at home. A total of 1,392 follow-up interventions (home visits, phone calls, onward referrals) were completed by PT and OT. Service user feedback was overwhelmingly positive, with 100% (n=20) of respondents stating they would be happy to see the Pathfinder team again if calling 999. General feedback highlighted the responsiveness, thorough assessment, and friendliness and professionalism of the team. Areas for development included increasing staffing and increasing to a 7-day service. Conclusion The Pathfinder service is effective in an urban setting. Over a 12-month period, 55% of patients assessed by Pathfinder were safely treated at home, with follow-up support from Pathfinder PT and OT. Service users report positive experiences and would be happy to see the team in the future when calling 999.

The Development And Implementation Of A Multi-Factorial Falls Assessment Tool In A Pathfinder Service

Abstract Background Falls are a common complaint of older adults who present to the Pathfinder service. Pathfinder offers alternative care pathways to older adults when they phone 999 for low acuity concerns. As part of the service, Occupational Therapists and Physiotherapists provide home-based assessments and interventions. The aims of this project were firstly, to develop a falls assessment tool to assist therapists’ compliance with guidelines relating to older adults who have fallen and secondly, to ensure consistency of assessment and intervention among therapists on the team. Methods A falls assessment tool was created in line with the most recent world falls guidelines (Montero-Odasso et al., 2022). The initial roll out began on October 1st, 2024, when the tool was used to assess older adults who presented to the Pathfinder service following a fall. After three months, areas of poor compliance and barriers with usability of the tool were highlighted from a chart review and stakeholder engagement. The document was then revised based on this feedback. From February 1st, 2024, the tool was then used with all older adults who presented to the service. Compliance was re-audited at the end of April 2024 and therapists on the team were surveyed to gather user feedback. Results As a result of the falls assessment tool, compliance with the World Falls Guidelines increased initially from 54% to 86% but continued to improve when reviewed seven months post implementation. Qualitative data was universally positive when stakeholders were surveyed with benefits identified as: improving patient care, consistency across the therapy team and a useful means of communication. Conclusion The development and implementation of a falls assessment tool into the practice of a Pathfinder service increased compliance with the most recent world falls guidelines and received positive feedback from all key stakeholders.

Challenges of Creating a Peer Support Online Community for Patients With Diabetes-A Case Study.

This study aims to explore the challenges and strategies in creating online communities for individuals with diabetes, emphasizing their role in fostering connections among individuals facing similar health conditions. Using a single-case approach, we investigated the design process of a diabetes online community using the classic waterfall model. Participants were recruited from a diabetes local association, and usability was assessed using the System Usability Scale and the think-aloud method. Subsequently, semistructured interviews were conducted to evaluate functionality and user experience. Data collection was conducted from August until December 2023. The development of the community unveiled significant usability challenges, highlighting the need for user feedback and improvement. Ethical considerations, including anonymity, usage conditions, privacy terms, and health information sharing, emerged as critical areas requiring meticulous attention. Furthermore, healthcare professional moderation was deemed essential to ensure a secure environment. Users expressed strong interest in enhanced interaction features and personalized notifications. Although online diabetes communities hold potential for peer support, addressing usability challenges, ethical considerations, and moderation issues is essential. This study emphasizes the ongoing necessity for research to enhance the development of patient communities, ensuring accessibility, mitigating ethical risks, and leveraging nurses as moderators.

User involvement in the design and development of medical devices in epilepsy: A systematic review.

This systematic review aims to describe the involvement of persons with epilepsy (PWE), healthcare professionals (HP) and caregivers (CG) in the design and development of medical devices is epilepsy. A systematic review was conducted, adhering to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. Eligibility criteria included peer-reviewed research focusing on medical devices for epilepsy management, involving users (PWE, CG, and HP) during the MDD process. Searches were performed on PubMed, Web of Science, and Scopus, and a total of 55 relevant articles were identified and reviewed. From 1999 to 2023, there was a gradual increase in the number of publications related to user involvement in epilepsy medical device development (MDD), highlighting the growing interest in this field. The medical devices involved in these studies encompassed a range of seizure detection tools, healthcare information systems, vagus nerve stimulation (VNS) and electroencephalogram (EEG) technologies reflecting the emphasis on seizure detection, prediction, and prevention. PWE and CG were the primary users involved, underscoring the importance of their perspectives. Surveys, usability testing, interviews, and focus groups were the methods used for capturing user perspectives. User involvement occurs in four out of the five stages of MDD, with production being the exception. User involvement in the MDD process for epilepsy management is an emerging area of interest holding a significant promise for improving device quality and patient outcomes. This review highlights the need for broader and more effective user involvement, as it currently lags in the development of commercially available medical devices for epilepsy management. Future research should explore the benefits and barriers of user involvement to enhance medical device technologies for epilepsy. This review covers studies that have involved users in the development process of medical devices for epilepsy. The studies reported here have focused on getting input from people with epilepsy, their caregivers, and healthcare providers. These devices include tools for detecting seizures, stimulating nerves, and tracking brain activity. Most user feedback was gathered through surveys, usability tests, interviews, and focus groups. Users were involved in nearly every stage of device development except production. The review highlights that involving users can improve device quality and patient outcomes, but more effective involvement is needed in commercial device development. Future research should focus on the benefits and challenges of user involvement.

Arabic Loanwords in Kamus Dewan Perdana: Questions of Etymology, Word Class and Definition

Kamus Dewan Perdana (KDP) is the largest and most complete dictionary of the Malay language (ML) and is the latest edition of the Dewan Bahasa dan Pustaka (DBP), which targets ML native speakers and non-native speakers who are proficient in using ML. This study aims to identify Arabic loanwords (AL) in KDP and analyse questions of their entry regarding the aspects of etymology, word class, and definition from the perspective of users and researchers by using Qualitative Comparative Analysis (QCA) as the methodology. The findings of this study found a total of 2847 entries of AL in KDP, which include 66% labelled Arabic (Ar) and 34% unlabelled. This study also found seven questions regarding AL entries in the KDP from the aspects of etymology, word class, and definition. Three questions arise from the etymological aspect, namely, (1) the inconsistent omission of etymological labelling, (2) the differences in terms of etymological labelling between KDP and Kamus Dewan Edisi Keempat (KDE4), and (3) justification for the source language information of the loanword placed at the end of the entry in the KDP; a question arises from the aspect of word class, which is the inconsistency in word class labelling for AL expression entries; and three questions from the aspect of definition, namely (1) the inaccuracy in the definition of homonymous word variations in KDP, (2) the absence of definition of the AL entries in the KDP and (3) the deletion of AL entry in the KDP. The results of this study serve as user feedback, which contributed to DBP as the body responsible for improving the compilation of KDP as well as other dictionaries such as Kamus Besar Bahasa Indonesia (KBBI), Cambridge Advanced Learner’s Dictionary (CALD), Longman Dictionary of Contemporary English New Edition (LDCENE), Oxford English Dictionaries (OED), and Concise Oxford English Dictionaries (COED). This improvement will in turn be able to provide complete vocabulary information to the user community, both among native speakers and non-native speakers.

Navigating user discontent in wearable tech: an in-depth study of Fitbit reviews

ABSTRACT In the burgeoning field of wearable technology, Fitbit has emerged as an influential entity. Even the most influential companies, however, need to understand user dissatisfaction, particularly extracted from critical reviews, in order to enhance the user experience. This study analyzes a subset of 28,664 Fitbit consumer reviews from the Google Store, all giving it a rating of 1 out of 5 points, in order to identify the reasons for user dissatisfaction. Employing thematic analysis, sentiment analysis, and topic modelling, our research reveals prominent issues impacting user perception. Key findings include significant challenges with device syncing, app functionality, and customer service, alongside a spectrum of sentiments ranging from neutral to negative. Topic modelling further distinguishes various categories of user feedback, underscoring the diversity in user experiences and expectations. These insights suggest a pressing need for improvements in technical functionality, user interface design, and customer support. This study contributes to a deeper understanding of consumer experiences in wearable technology, offering valuable guidance for enhancing product design and customer engagement strategies in this dynamic market.

User's Dilemma: A Qualitative Study on the Influence of Netflix Recommender Systems on Choice Overload

AbstractIn the digital era, where choices saturate daily life, the phenomenon of choice overload becomes a significant concern in consumer behavior and psychology. Recommender systems, exemplified by Netflix's sophisticated model, play a transformative role in navigating the vast landscape of digital entertainment. This qualitative study examines the impact of recommender systems on choice overload through 12 semi-structured interviews with Netflix users, revealing the intricate dynamics between personalization algorithms and user decision-making processes. The study is guided by the following research questions: (1) How does the Netflix recommendation system influence users' experiences of choice overload and ease of decision-making? (2) To what extent do users perceive Netflix's recommended content as appealing and diverse, and how reliant are they on these recommendations for content selection? (3) How do user interactions with Netflix's recommendation system, including user feedback, impact variables such as search time, choice effort, and choice satisfaction? The findings reveal a notable absence of explicit user feedback and the presence of choice overload in Netflix users. This is evident in prolonged search times, heightened choice effort, and moderate satisfaction levels, coupled with perceptions of unattractiveness and limited diversity in the recommended content. Negative emotional responses during content selection further underscore the challenges users face on the platform. Paradoxically, this gives rise to a potential “user's dilemma,” as the study exposes a high reliance and trust in recommendation lists. However, this reliance also results in users frequently experiencing frustration and disappointment when recommendations fail to meet expectations. The study provides valuable insights into the nuanced interactions between users and the Netflix platform and offers a foundational framework for ongoing refinement of recommender systems in the ever-evolving landscape of streaming services and emphasizes the need for recommendation lists to strike a delicate balance between effective guidance and user exploration.

Revisiting Sentiment Analysis for Software Engineering in the Era of Large Language Models

Software development involves collaborative interactions where stakeholders express opinions across various platforms. Recognizing the sentiments conveyed in these interactions is crucial for the effective development and ongoing maintenance of software systems. For software products, analyzing the sentiment of user feedback, e.g., reviews, comments, and forum posts can provide valuable insights into user satisfaction and areas for improvement. This can guide the development of future updates and features. However, accurately identifying sentiments in software engineering datasets remains challenging. This study investigates bigger large language models (bLLMs) in addressing the labeled data shortage that hampers fine-tuned smaller large language models (sLLMs) in software engineering tasks. We conduct a comprehensive empirical study using five established datasets to assess three open-source bLLMs in zero-shot and few-shot scenarios. Additionally, we compare them with fine-tuned sLLMs, using sLLMs to learn contextual embeddings of text from software platforms. Our experimental findings demonstrate that bLLMs exhibit state-of-the-art performance on datasets marked by limited training data and imbalanced distributions. bLLMs can also achieve excellent performance under a zero-shot setting. However, when ample training data is available or the dataset exhibits a more balanced distribution, fine-tuned sLLMs can still achieve superior results.

Unveiling User Perspectives: Exploring Themes in Femtech Mobile App Reviews for Enhanced Usability and Privacy

Femtech, a growing sector in mobile healthcare technology, caters to women's needs across various life stages with digital solutions like period tracking and pregnancy management apps. Maintaining robust data privacy is crucial due to the sensitive nature of the information involved, such as menstrual cycles and pregnancy status. Our research analyzes user feedback from platforms like the Apple App Store and Google Play Store to understand perceptions of femtech apps, covering accessibility, interface, features, and privacy concerns. Understanding user perspectives helps developers enhance usability and trust, driving further adoption. Prioritizing privacy also fosters industry advancement. This paper stresses the importance of dialogue among developers, users, and policymakers in femtech. Our findings aim to facilitate positive change within the femtech sector, leading to more inclusive, user-centric, and ethically driven advancements, benefiting both the industry and its users.

Investigating user feedback from a crowd in requirements management in software ecosystems

Investigating user feedback from a crowd in requirements management in software ecosystems

Integrated Approach for Human Wellbeing and Environmental Assessment Based on a Wearable IoT System: A Pilot Case Study in Singapore.

This study presents the results of the practical application of the first prototype of WEMoS, the Wearable Environmental Monitoring System, in a real case study in Singapore, along with two other wearables, a smart wristband to monitor physiological data and a smartwatch with an application (Cozie) used to acquire users' feedback. The main objective of this study is to present a new procedure to assess users' perceptions of the environmental quality by taking into account a multi-domain approach, considering all four environmental domains (thermal, visual, acoustic, and air quality) through a complete wearable system when users are immersed in their familiar environment. This enables an alternative to laboratory tests where the participants are in unfamiliar spaces. We analysed seven-day data in Singapore using a descriptive and predictive approach. We have found that it is possible to use a complete wearable system and apply it in real-world contexts. The WEMoS data, combined with physiology and user feedback, identify the key comfort features. The transition from short-term laboratory analysis to long-term real-world context using wearables enables the prediction of overall comfort perception in a new way that considers all potentially influential factors of the environment in which the user is immersed. This system could help us understand the effects of exposure to different environmental stimuli thus allowing us to consider the complex interaction of multi-domains on the user's perception and find out how various spaces, both indoor and outdoor, can affect our perception of IEQ.

Parameterization before Meta-Analysis: Cross-Modal Embedding Clustering for Forest Ecology Question-Answering

In the field of forestry ecology, image data capture factual information, while literature is rich with expert knowledge. The corpus within the literature can provide expert-level annotations for images, and the visual information within images naturally serves as a clustering center for the textual corpus. However, both image data and literature represent large and rapidly growing, unstructured datasets of heterogeneous modalities. To address this challenge, we propose cross-modal embedding clustering, a method that parameterizes these datasets using a deep learning model with relatively few annotated samples. This approach offers a means to retrieve relevant factual information and expert knowledge from the database of images and literature through a question-answering mechanism. Specifically, we align images and literature across modalities using a pair of encoders, followed by cross-modal information fusion, and feed these data into an autoregressive generative language model for question-answering with user feedback. Experiments demonstrate that this cross-modal clustering method enhances the performance of image recognition, cross-modal retrieval, and cross-modal question-answering models. Our method achieves superior performance on standardized tasks in public datasets for image recognition, cross-modal retrieval, and cross-modal question-answering, notably achieving a 21.94% improvement in performance on the cross-modal question-answering task of the ScienceQA dataset, thereby validating the efficacy of our approach. Essentially, our method targets cross-modal information fusion, combining perspectives from multiple tasks and utilizing cross-modal representation clustering of images and text. This approach effectively addresses the interdisciplinary complexity of forestry ecology literature and the parameterization of unstructured heterogeneous data encapsulating species diversity in conservation images. Building on this foundation, intelligent methods are employed to leverage large-scale data, providing an intelligent research assistant tool for conducting forestry ecological studies on larger temporal and spatial scales.

Culture, tradition and healthcare: exploring the Kisiizi Community Health Insurance scheme

In southwestern Uganda, a custom of health and social support has been managed through collective organizations known as engozi for centuries. Subscribers advanced help for those who were not able to provide for themselves and their households. Participants pooled financial and food resources, offered emotional assistance, and aided in transporting patients to hospitals. The institution of “free government health amenities” caused the decline of the engozi custom. However, with an insufficient annual health sector budget allocation, the state health services cannot satisfactorily meet the needs. The Kisiizi neighborhood, while depending on the engozi practice, arrived at a CHI system in 1996 as a self-help innovation to eliminate financial obstacles and enhance access to quality health amenities. Numerous studies on CHI have examined the structure, registration and memberships, health-related advantages, and monetary-related benefits, but little has been documented on how cultural beliefs and customs have affected its application. This study aimed to identify the role of culture and customs in tackling healthcare disparities via a CHI strategy. This study adopted a case study methodology and qualitative methods. The study utilizes Woolcock’s social capital theory and Cultural competence theory as the analytical framework. It identifies Brotherhood, Solidarity, Belonging, Cooperation, Volunteering, Reciprocity, and Respect for Authority and Leaders as key values upheld by the engozi tradition, strengthening social capital and laying a solid foundation for successful CHI. This study also identified that societal values and traditions have significantly impacted the implementation of the Kisiizi CHI scheme, as evidenced by the influence on CHI leadership and governance, collecting premium fees from subscribers, mobilization and registration of participants, and information dissemination. Lastly, the study identified that CHI has positively affected healthcare challenges within the community, evidenced by increased utilization of healthcare services, improved access to antenatal care, health promotion and disease prevention initiatives, and improved quality of services due to user feedback.

Designing audio processing strategies to enhance cochlear implant users' music enjoyment

Cochlear implants (CIs) provide hundreds of thousands of users with increased access to sound, particularly speech, but experiences of music are more varied. Can greater engagement by CI users in the music mixing process mutually benefit them as well as audio engineers? This paper presents an exploratory mixed-methods study that leverages insights from CI users and professional audio engineers (AEs) in the investigation of techniques to enhance CI user music enjoyment and promote empathetic practices in AEs. Analysis of data collected over a multi-step process of surveys, interviews, and iterative cycles of sound mixing and feedback revealed two mixing strategies—namely essentializing and exaggeration of musical elements—common among mixes preferred by CI users. Participant responses also highlighted systemic ableism and audism in the music industry—an industry from which CI users report feeling excluded. Specifically, AEs felt inadequately trained around aural diversity considerations and experienced anxiety around their own aural diversity. In sum, this work contributes to insights into CI user music listening preferences; how AEs approach mixing for an aurally diverse audience; and discussion around the efficacy of CI simulation, user feedback, and AE peer feedback on mix enjoyment by CI users. Based on these findings, we offer several design insights that emphasize the need for customizable music listening tools centered around user agency and enjoyment.