User Interviews Research Articles

Privacy for Groups Online: Context Matters

The pervasive influence of online activities in our lives, encompassing personal connections, professional engagements, and e-commerce, has amplified concerns about privacy. However, existing privacy research has predominantly concentrated on the individual level, paying less attention to the privacy practices and strategies adopted by online social groups. This research gap calls for a renewed focus on understanding and addressing privacy challenges specific to online group settings. In this paper we explore the privacy needs of online groups through the lens of Contextual Integrity. We perform two complementary studies: semi-structured qualitative interviews of Facebook Groups users (n=17), and a large-scale survey of individuals organizing in groups on Facebook, Discord, and Reddit (n=4486). We investigate the privacy needs of different contextual groups, and locate the presence of contextual norms, contextual member roles, explicit and implicit rules, and privacy concerns. We trace how this complex interplay informs privacy expectations, needs, and negotiations across groups. We find that technical systems provide limited tools to effectively enforce group privacy, allowing individuals to compromise privacy norms. Based on these findings, we offer recommendations to support the design of privacy controls for online groups.

Morality boundary work in the making of the needle and syringe exchange program in Stockholm

Background Drug policy is prone to build on rationales based on different moralities rather than evidence. Less is known about how moralities influence drug policy implementation in practice. The aim was to analyze expressions of moralities among local policy-makers, professionals, and drug users in the context of the Stockholm needle and syringe exchange program (NSP). Methods Using political documentation from Stockholm (2003–2016), focus group (12 NSP staff), and 32 drug user interviews, moralities concerning drug policy and harm reduction were analyzed based on moral foundations theory and boundary work. Results Three main moral dilemmas were identified concerning the subjects, aims, and orientation of drug policy: whether drug users are worthy of inclusion to society; if the general public should be prioritized or the health of drug users, and the orientation of practices as based on control or autonomy. Policy debate was driven by virtues such as purity and authority, whereas staff and drug users valued care, fairness and liberty. Conclusions The prohibitionist and abstinence-oriented Swedish drug policy has created social boundaries on the practice-level. Hence, users’ perspectives, and those who care about them, should be extensively involved in political discussions to foster a more moral and humane drug policy.

Research on the Packaging Design Practices of Agricultural Products in the Context of Rural Revitalization: A Case Study of Zhaoqing Emperor Oranges

To carry out the packaging design of agricultural products around rural revitalization, and to study the innovative application of brand culture in the packaging of agricultural products. Through the case method, Zhaoqing Emperor Citrus is selected as an example for design analysis and practice. Firstly, through the domestic and foreign related literature and data research, the current situation of agricultural product packaging design is sorted out, and the existing packaging problems are summarized; secondly, the user needs are obtained through the qualitative analysis of user interviews, and the near-design orientation is made; finally, countermeasure strategies and design solutions are put forward in combination with the current problems of agricultural product packaging design. In this topic, design practice is carried out for the packaging design of agricultural products, design reference is provided, and relevant design strategies are proposed based on the background of rural revitalization. The innovative storytelling as well as visualization of the culture outside the product can better empower the value of agricultural products, thus contributing to rural revitalization.

Evaluating functional ability in older adults’ object retrieval behavior from kitchen furniture using OpenPose and REBA

The purpose of this study is to evaluate, through analysis, the ability of older persons to retrieve items from kitchen cabinets. To achieve this goal, data were collected from 128 valid questionnaires and supplemented with field research and user interviews. The study revealed that the elderly’s behavior in retrieving items from kitchen spaces is characterized by both high frequency and difficulty. For this experiment, a total of 42 participants, comprising 21 males and 21 females from the self-care elderly population in the Yangtze River Delta region, were recruited. Two different experimental settings were arranged: one with kitchen utensils arranged in a straight line and another with a purpose-made chest of drawers with varying heights. Video recordings using the Logitech C930C were utilized to capture the gestures and behaviors of the elderly while retrieving objects from the kitchen cupboards (cabinets). By employing a combination of the OpenPose model and the Rapid Entire Body Assessment (REBA) method, which involves calculating human posture angles, REBA scores, and determining the risk level of Work-Related Musculoskeletal Disorders (WMSDs), a risk assessment framework for manual operations associated with WMSDs was developed. Using the angle data acquired from the user operation experiment as parameters, a gradient model of the elderly user’s operational capability was established. The findings indicated a significant impact of neck, trunk, and knee movements on the subjects (P < 0.001). The participants were able to distinguish between different levels of exertion, categorizing movements as ‘easy’, ‘moderate,’ or ‘strenuous.’ These results form the basis for a comfort gradient model for leaning over and retrieving items. Given the prevalent conditions of bone and joint degeneration and osteoporosis among the elderly population, it is evident that they face challenges when accessing items in the kitchen. Therefore, investigating the elderly’s execution abilities during the retrieval process becomes crucial. Understanding how different cabinet heights impact the joint angles of the elderly can be instrumental in optimizing cabinet designs for elderly users, thereby reducing their physical exertion in the kitchen and enhancing their comfort levels. This research holds significant value in improving the quality of life for the elderly population at home and fostering the advancement of elderly-friendly design principles.

Big Research Data Management Needs of Researchers at a Research- Intensive University - A Qualitative Study

Big Research Data Management (BRDM) infrastructure is a complex socio-technical system. The design and provision of effective BRDM services at research universities require a multipronged examination of individual, social, technical, and larger contextual (i.e., campus, state, and national context) aspects of the BRDM infrastructure needs and uses of their users. Although there is a significant body of literature on BRD already, an in-depth, theory-driven examination of researchers’ needs for BRDM services on university campuses and the challenges and hurdles they face in using and managing BRD is lacking. Furthermore, there is a dearth of research on university administrators’ motivation for providing BRD services on their campuses and the hurdles and barriers they face in providing those services.This study aims to contribute to the literature by investigating the BRD-related needs of researchers from different fields and the barriers and challenges to designing and providing such support at a research university. The ongoing Health Data Science Initiative (HDSI) of Florida State University and user interviews are used as the data sources of this study. The study is guided by activity theory to investigate the complex structure of activities and factors that make BRDM infrastructure successful on university campuses.When completed, the study will inform the design of BRDM infrastructure and services on university campuses by providing an evidence base for the perspectives and needs of BRD creators, users, curators, and policymakers. In particular, by understanding the BRDM requirements of researchers, university administrators can provide effective and user-centered BRDM solutions to them.

Age-Friendly Environment Design of High-Speed Railway Stations from a Healthy Ageing Perspective: A Case Implementation in Nanjing, China

China stands out as one of the countries with the largest and fastest-growing elderly populations. Elderly requirements for the quality of high-speed railway stations environment are increasing. The relationship between the built environment of high-speed railway stations and elderly health has become an urgent problem to be solved. The challenge necessitates a systematic approach to age-friendly design. Based on the practical experience of the authors in an age-friendly design of an indoor environment at Nanjing South Railway Station, questionnaire surveys and user interviews were employed to profile four types of typical elderly passengers. Data collection methods were used to create behavior maps. (1) This study identifies the age-friendly needs of elderly passengers, pinpointing the key environment issues. (2) It proposes age-friendly design strategies for various functional areas of Nanjing South Railway Station. (3) It introduces an age-friendly module combination design system, which including basic type I, enhanced type II, and optimized type III, in order to meet the demands for six levels of high-speed railway stations in China. This study promotes the age-friendly transformation of environments at a high-speed railway station, offering theoretical foundations and methodological references for constructing an age-friendly environment from a healthy ageing perspective.

Digital Mirrors: AI Companions and the Self

This exploratory study examines the socio-technical dynamics of Artificial Intelligence Companions (AICs), focusing on user interactions with AI platforms like Replika 9.35.1. Through qualitative analysis, including user interviews and digital ethnography, we explored the nuanced roles played by these AIs in social interactions. Findings revealed that users often form emotional attachments to their AICs, viewing them as empathetic and supportive, thus enhancing emotional well-being. This study highlights how AI companions provide a safe space for self-expression and identity exploration, often without fear of judgment, offering a backstage setting in Goffmanian terms. This research contributes to the discourse on AI’s societal integration, emphasizing how, in interactions with AICs, users often craft and experiment with their identities by acting in ways they would avoid in face-to-face or human-human online interactions due to fear of judgment. This reflects front-stage behavior, in which users manage audience perceptions. Conversely, the backstage, typically hidden, is somewhat disclosed to AICs, revealing deeper aspects of the self.

INVESTIGATION OF THE USABILITY AND USER EXPERIENCE OF MOBILE LANGUAGE LEARNING APPLICATIONS: BUSUU, DUOLINGO, AND MEMRISE

This study explores the effects of usability and user experience of mobile language learning applications on learning process by evaluating three popular applications Busuu, Duolingo, and Memrise. The data were collected by user interviews and the diary method. With the help of the think-aloud method, user interviews were actualized, and in addition to that the researcher kept a diary by trying all three applications for 10 days. Nielsen’s Heuristics and an adapted version of these heuristics were used within the framework of this study. The researcher's diaries were coded with the help of heuristics. Findings emphasize the strong connection between the user experience and mobile language learning applications’ efficiency. Results indicate that even the adapted version of heuristics has shortages, and it is needed to be developed for future researches. As a result, investigation of user experience is recommended to be evaluated separately for the different phases of application usage in further studies.

관공서 스마트 오피스 구축에 관한 연구 : 사용자 조사 및 국내·외 사례조사 분석을 중심으로

In recent years, the social trend of emphasizing work-life balance (Work-Life Balance) and the introduction of the 52-hour workweek system have highlighted the need for smart offices focused on work efficiency. Public institutions are also actively pursuing the implementation of smart offices. This paper aims to provide guidelines for establishing smart offices in public institutions, based on field surveys and user studies of a public office currently undergoing relocation planning. Through a spatial usage survey of Public Office A, which is in the process of relocation planning, and user surveys and interviews with staff, this study identifies office space improvement needs and requirements. Furthermore, by analyzing domestic and international case studies of smart office implementations in public institutions, this paper offers practical directions for the establishment of smart offices in public institutions. Based on the surveys and interviews conducted, the study addresses the specific requirements of each department, ensures a clear understanding of and engagement with spatial needs, and incorporates insights from successful international examples. This paper highlights the importance of applying innovative spatial designs that can improve the current organizational culture, facilitating active communication and collaboration.

Easily Determining Post-Study System Usability for Anime Community E-Commerce Analysis

The rapid growth of e-commerce as a form of electronic commerce has transformed the global shopping landscape. To maintain user satisfaction and competitiveness, e-commerce sites must effectively understand and improve the usability of their systems after launch. The aims of the study are to improve e-commerce post-launch usability so that anime fans' enthusiasm can be capitalized upon for financial gain and market expansion. In this study, we adopted a combined approach that included user observations, interviews, surveys, and performance measurement for anime community e-commerce analysis Weeboo web commerce. Through this method, we analyze the behavior and views of users towards e-commerce systems. The results show that most users experience a positive experience in shopping online by appreciating the usability of the layout, search process, and fast checkout process. The results indicated that most users have a positive online shopping experience, appreciating the layout, search process, and fast checkout process. The SUS score of 75.375 (grade B) and the overall PSSUQ satisfaction score of 2.0296 indicate that the system is acceptably well-received. The proposed recommendations can help e-commerce companies quickly identify usability issues and implement relevant fixes.

Decoding environmental impact with image-based CO2 emission analytics

As per the regulations of Intergovernmental Panel on Climate Change (IPCC), the country’s carbon emission data hold primacy. Nevertheless, establishing and utilizing a database pose a daunting challenge. This study presents the “Carbon Seer System,” a novel software prototype designed to inform and educate users about the carbon footprint during their production and in daily life. The development process involved a three-stage user interview process, ensuring system’s alignment with user needs and preferences. The system employs machine learning and visual recognition technology, including convolutional neural networks (CNNs), feature pyramid networks, and self-attention mechanisms, enabling users to analyze captured images for carbon emission factors. It automatically identifies the carbon emission factors of industrial products, energy producers, household producers, waste treatment, and transportation. A unique “group detection” method allows for the simultaneous analysis of multiple objects in a single image, enhancing user convenience. Additionally, the software features a carbon footprint tracker and a carbon sink dashboard, providing users with insights into their carbon emissions and the efforts needed for offsetting. The study concludes that the “Carbon Seer System” represents a significant step towards individual enablement at understanding and actively participating in a low-carbon lifestyle.

AdaVis: Adaptive and Explainable Visualization Recommendation for Tabular Data.

Automated visualization recommendation facilitates the rapid creation of effective visualizations, which is especially beneficial for users with limited time and limited knowledge of data visualization. There is an increasing trend in leveraging machine learning (ML) techniques to achieve an end-to-end visualization recommendation. However, existing ML-based approaches implicitly assume that there is only one appropriate visualization for a specific dataset, which is often not true for real applications. Also, they often work like a black box, and are difficult for users to understand the reasons for recommending specific visualizations. To fill the research gap, we propose AdaVis, an adaptive and explainable approach to recommend one or multiple appropriate visualizations for a tabular dataset. It leverages a box embedding-based knowledge graph to well model the possible one-to-many mapping relations among different entities (i.e., data features, dataset columns, datasets, and visualization choices). The embeddings of the entities and relations can be learned from dataset-visualization pairs. Also, AdaVis incorporates the attention mechanism into the inference framework. Attention can indicate the relative importance of data features for a dataset and provide fine-grained explainability. Our extensive evaluations through quantitative metric evaluations, case studies, and user interviews demonstrate the effectiveness of AdaVis.

중국 1인 거주자의 생활환경을 고려한 스마트 정수기 디자인에 관한 연구 - 사용자 경험의 심층 분석을 중심으로

This study explores the design of intelligent water dispensers for young rental housing groups to meet their needs for convenience, instant water supply, and energy efficiency. With the acceleration of urbanization and the increase in youth mobility, traditional drinking water solutions can no longer fully meet the needs of this group. Through literature research, questionnaire surveys, and user and expert interviews, this article comprehensively analyzes the market demand, user preferences, and user experience of smart water dispensers. Research has found that young users prefer smart water dispensers that are hot, energy-efficient, and easy to operate, while also having high expectations for product appearance design and technological innovation. Based on the research results, this article proposes a user centered design strategy, aiming to improve user experience and enhance product market competitiveness by optimizing the design elements of intelligent water dispensers at the instinctive, behavioral, and reflective levels. This study provides theoretical support and practical guidance for the product innovation and market strategy of intelligent water dispensers.

Utilizing a Dashboard for Efficient Biodiversity Data Overview and Gap-Filling Effort

Taiwan Biodiversity Information Facility has been leading the effort to integrate and mobilize biodiversity data nationally. We recently accomplished the integration of local databases and successfully developed a data portal that efficiently links to the most comprehensive biodiversity database in Taiwan: the Taiwan Biodiversity Information Alliance Data Portal. However, we identified an emerging challenge following this development. Preliminary analyses have revealed several gaps in the current dataset, impeding robust data use. For instance, land data dominates over sea data, and bird records are more abundant than those of other taxonomic groups. In our endeavour to enhance national biodiversity data coverage, we are actively exploring methodologies to address these existing data gaps. Here, we broadly define data gap as the absence of required data or information for use. Our primary objective is to empower users to identify these gaps, thereby facilitating efficient, informed survey planning and eventually filling these gaps. For this purpose, we are evaluating the effectiveness of a user-friendly dashboard, tailored for biodiversity survey planning in Taiwan. We developed and deployed a R Shiny dashboard*1 that provides users with insightful data visualizations that highlight spatial, temporal, and taxonomical data overviews. It also offers customizable filtering options, such as by major taxon groups and habitat types, for easy viewing. Additionally, the dashboard includes a download function, so users can access spatial and taxon gap information in their survey planning efforts. After deploying the dashboard, we conducted user interviews to collect feedback aimed at refining its usability and effectiveness. In addition to helping survey planning, we anticipate that this tool will also aid data users in promptly assessing data integrity within the national biodiversity data portal, thereby enabling them to identify potential data gaps and biases that may affect subsequent use. Through this presentation, we aim to share our experience in developing an interactive dashboard tailored for public use. Preliminary results had indicated that the dashboard highlighted some visible data gaps and biases, particularly in underrepresented areas such as marine habitats and less-studied taxonomic groups. Additionally, user interviews revealed a demand for a feature that provides single species data overviews, suggesting a potential area for further development to enhance the tool's utility. Some challenges remain, such as the need to enhance data granularity and user interface usability. Future work will focus on incorporating more real-time data integration and expanding the range of customizable filters. We believe these efforts will further empower users in Taiwan to conduct more informed and efficient biodiversity surveys, ultimately supporting research and policy-making to address critical biodiversity data gaps.

Understanding the barriers and facilitators of urban greenway use among older and disadvantaged adults: A mixed-methods study in Québec city

Urban greenways are multipurpose and multi-user trails that provide a range of socio-ecological and health benefits, including active transportation, social interactions, and increased well-being. However, despite their numerous benefits, barriers exist that limit urban greenway access and use, particularly among older and disadvantaged adults. This study addresses a significant research gap by examining the nuanced factors that influence the choices and experiences of these specific user groups in Québec City, Canada. We use a mixed-methods’ approach to explore the facilitators of and barriers to access and use of two urban greenway trails among older and disadvantaged adults. Our methods included a greenway user count, 96 observation time slots, and 15 semi-structured user interviews. The results revealed significant use of greenway trails by older adults for afternoon walks in both seasons studied (autumn and winter). We also observed variations in use patterns, such as higher levels of solitary walking, reduced levels of winter cycling, and the impracticality of the secondary greenway trail owing to snow conditions. In addition, the findings revealed a wide range of factors that influence greenway access and use, categorized as individual or personal, physical or built environment, social environment, and meteorological or climatic dimensions. Future research can build on these insights to design and assess interventions that capitalize on the facilitators and address any barriers, enhancing the value of urban greenways for older and disadvantaged adults.

Developing a Guided Web App for Postpartum Depression Symptoms: User-Centered Design Approach.

Psychological internet-based interventions have shown promise in preventing and treating perinatal depression, but their effectiveness can be hindered by low user engagement. This challenge often arises from a misalignment between technology attributes, user needs, and context. A user-centered, iterative approach involving all stakeholders is recommended. In this paper, we aimed to develop a user-friendly psychological internet-based intervention aimed at addressing the symptoms of perinatal depression through an iterative, user-centered approach. The development process followed the Center for eHealth Research and Disease Management Roadmap phases of contextual inquiry, value specification, and design. It involved a comprehensive literature review, 2 surveys, 10 focus groups, 5 usability interviews, and 1 technical pilot. The contextual inquiry revealed a demand for accessible interventions for perinatal mental health, with internet-based solutions seen as viable options. Insights from the literature influenced intervention content and features. Stakeholders' openness to the intervention became evident during this phase, along with the integration of the first set of values. Initially, we assessed the broader perinatal context to identify the optimal period for the intervention. On the basis of the findings and practical considerations, we decided to specifically target postpartum depression symptoms. The value specification phase further defined the central values and translated them into requirements. In the design phase, feedback was obtained on the user experience of an early digital prototype and on the prototype's final version. The resulting intervention, named Mamá, te entiendo ("Mom, I get you"), is a guided web app based on cognitive behavioral therapy principles, integrating elements from attachment and mentalization theories. It aims to reduce depressive symptoms in women during the first months postpartum and consists of 6 core sequential modules, along with 3 additional modules, including 5 case examples illustrating depressive symptoms and therapeutic techniques. The intervention provides homework exercises and offers users the opportunity to receive feedback from an e-coach through the web app. This study emphasizes the importance of a user-centered and iterative development process for psychological internet-based interventions. This process helps clarify user needs and provides valuable feedback on service design and quality, ultimately having the potential to enhance the utility and, presumably, the effectiveness of the intervention. The Discussion section shares valuable insights from the project, such as the value of the requirement sessions.

Implementation of a population mental health and wellness text-message service: a mixed-methods study

BackgroundDespite the growing adoption of digital health tools as a means to support mental health, many individuals remain unaware of the variety of mental health resources available to them through this format. To address this knowledge gap, this study advanced the design, development, and implementation of a text-based service called SaskWell to raise awareness of evidence based mental health resources and create more immediate connections to these tools. The two primary objectives of the study were to assess and evaluate the adoption of SaskWell by focusing on user acceptance, satisfaction, and perceived benefit, and to identify factors which contributed to user engagement with the SaskWell text-based service. Both quantitative and qualitative data contributed to the final study results.ResultsThis study utilized a co-designed text-messaging service to provide residents of Saskatchewan an important connection to digital mental health and wellness resources during the height of the COVID-19 pandemic. Using the RE-AIM framework as an implementation guide, four distinct cycles of SaskWell were delivered with modifications to the service in each subsequent cycle based on user engagement, feedback, and the direction of a community advisory group. Quantitative data was collected through user engagement text message response data, along with enrollment and exit surveys, while semi-structured interviews served as the primary means of qualitative data collection. In addition to the quantitative user data, these user interviews resulted in themes exploring motivation to sign-up for the service, perceptions of texting as a mechanism to deliver mental health resources, the impact of SaskWell on mental health and well-being, and beliefs on the future potential of text-based mental health supports.ConclusionsBoth the user engagement survey and the qualitative data supported the worth of ongoing efforts to refine and extend the use of text messaging as a means to engage citizens around the awareness and use of digital mental health and wellness resources. As the pandemic has receded into the background in many peoples’ daily lives, for healthcare providers, and others who continue to be impacted more heavily by the persistent challenges of this global event, this type of service may continue to be timely.

AutoTitle: An Interactive Title Generator for Visualizations.

We propose AutoTitle, an interactive visualization title generator satisfying multifarious user requirements. Factors making a good title, namely, the feature importance, coverage, preciseness, general information richness, conciseness, and non-technicality, are summarized based on the feedback from user interviews. Visualization authors need to trade off among these factors to fit specific scenarios, resulting in a wide design space of visualization titles. AutoTitle generates various titles through the process of visualization facts traversing, deep learning-based fact-to-title generation, and quantitative evaluation of the six factors. AutoTitle also provides users with an interactive interface to explore the desired titles by filtering the metrics. We conduct a user study to validate the quality of generated titles as well as the rationality and helpfulness of these metrics.

Clinical Exercise Physiologists in the United Kingdom: Multi-stakeholder Perspectives

ABSTRACT Background In the UK Academy of Healthcare Science, registered clinical exercise physiologists (CEPs) receive specialist, master’s-level education and training in the knowledge and skills required to work with chronic and complex medical conditions based on a curriculum that was benchmarked against Australian standards. The aim of this study was to explore the perspectives of multiple stakeholders to identify the key knowledge and skills required for a registered CEP to work effectively in the United Kingdom and inform future iterations of the accredited curriculum. Methods Semistructured interviews of academics (n = 5), CEPs (n = 5) and service users (n = 5) explored perspectives of the key knowledge and skills required of a CEP in UK health care. Reflexive thematic analysis was performed to identify the key knowledge and skills of a UK-registered CEP that all the stakeholders deemed important. Results Six themes were identified from the interviews. The CEP-specific themes were identified as pathophysiology, physiological assessments, exercise prescription, exercise delivery, and behavior change and education. Clinical practice was recognized as the overarching concept that linked all the CEP-specific themes together. Conclusion This study provides the first understanding of the knowledge and skills required for a CEP to work effectively in the UK health care system, in addition to providing research evidence and insight to the next iterations of the Clinical Exercise Physiology UK (CEP-UK) curriculum framework. Future research should focus on establishing a more comprehensive, definitive list of the knowledge and skills of a UK CEP that will contribute to subsequent versions of the CEP-UK curriculum framework.

JobViz: Skill-driven visual exploration of job advertisements

Online job advertisements on various job portals or websites have become the most popular way for people to find potential career opportunities nowadays. However, the majority of these job sites are limited to offering fundamental filters such as job titles, keywords, and compensation ranges. This often poses a challenge for job seekers in efficiently identifying relevant job advertisements that align with their unique skill sets amidst a vast sea of listings. Thus, we propose well-coordinated visualizations to provide job seekers with three levels of details of job information: a skill-job overview visualizes skill sets, employment posts as well as relationships between them with a hierarchical visualization design; a post exploration view leverages an augmented radar-chart glyph to represent job posts and further facilitates users’ swift comprehension of the pertinent skills necessitated by respective positions; a post detail view lists the specifics of selected job posts for profound analysis and comparison. By using a real-world recruitment advertisement dataset collected from 51Job, one of the largest job websites in China, we conducted two case studies and user interviews to evaluate JobViz. The results demonstrated the usefulness and effectiveness of our approach.