User Control Research Articles

COVID-19 Outcome and Tobacco Product Use: Case-Control and Retrospective Cohort Studies Using Nationwide Samples.

Conflicting evidence exists regarding the association between smoking and the risk of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection. We investigated the association between combustible cigarette (CC) smoking, noncombustible tobacco product (NCTP) use, and the use of any tobacco product with various coronavirus disease 2019 (COVID-19) outcomes. A case-control study was conducted using the Korea Disease Control and Prevention Agency-COVID19-National Health Insurance Service (NHIS) cohort. A retrospective cohort study was conducted using 12,571,698 individuals from the NHIS cohort. Logistic regression evaluated the association between CC smoking, NCTP use, and use of any tobacco product with SARS-CoV-2 infection. Poisson regression evaluated the association between these forms of tobacco product use and COVID-19-related hospitalization and mortality. In the case-control study, we identified 30,878 cases of SARS-CoV-2 infection. The odds ratios (95% confidence intervals [CIs]) for SARS-CoV-2 infection were lower among current CC smokers (0.51, 0.48-0.54), current- and former-NCTP users (0.80, 0.74-0.88; 0.82, 0.74-0.91), and current users of any tobacco product (0.52, 0.49-0.55) relative to never user controls. In retrospective cohort study, we identified 16,521 COVID-19-related hospitalization and 362 COVID-19-related deaths. The relative risks (95% CIs) for COVID-19-related hospitalization were lower among current CC smokers (0.51, 0.48-0.54) and current users of any tobacco product (0.53, 0.50-0.56) relative to never user controls. There was no association between the use of tobacco product and COVID-19-related mortality. Current CC smokers and current users of any tobacco product showed reduced risk of SARS-CoV-2 infection and COVID-19-related hospitalization. It remains uncertain whether these relationships are causal.

The ethical significance of user-control in AI-driven speech-BCIs: a narrative review.

AI-driven brain-computed interfaces aimed at restoring speech for individuals living with locked-in-syndrome are paired with ethical implications for user's autonomy, privacy and responsibility. Embedding options for sufficient levels of user-control in speech-BCI design has been proposed to mitigate these ethical challenges. However, how user-control in speech-BCIs is conceptualized and how it relates to these ethical challenges is underdetermined. In this narrative literature review, we aim to clarify and explicate the notion of user-control in speech-BCIs, to better understand in what way user-control could operationalize user's autonomy, privacy and responsibility and explore how such suggestions for increasing user-control can be translated to recommendations for the design or use of speech-BCIs. First, we identified types of user control, including executory control that can protect voluntariness of speech, and guidance control that can contribute to semantic accuracy. Second, we identified potential causes for a loss of user-control, including contributions of predictive language models, a lack of ability for neural control, or signal interference and external control. Such a loss of user control may have implications for semantic accuracy and mental privacy. Third we explored ways to design for user-control. While embedding initiation signals for users may increase executory control, they may conflict with other aims such as speed and continuity of speech. Design mechanisms for guidance control remain largely conceptual, similar trade-offs in design may be expected. We argue that preceding these trade-offs, the overarching aim of speech-BCIs needs to be defined, requiring input from current and potential users. Additionally, conceptual clarification of user-control and other (ethical) concepts in this debate has practical relevance for BCI researchers. For instance, different concepts of inner speech may have distinct ethical implications. Increased clarity of such concepts can improve anticipation of ethical implications of speech-BCIs and may help to steer design decisions.

Evolution-Based Shape and Behavior Co-Design of Virtual Agents.

We introduce a novel co-design method for autonomous moving agents' shape attributes and locomotion by combining deep reinforcement learning and evolution with user control. Our main inspiration comes from evolution, which has led to wide variability and adaptation in Nature and has significantly improved design and behavior simultaneously. Our method takes an input agent with optional user-defined constraints, such as leg parts that should not evolve or are only within the allowed ranges of changes. It uses physics-based simulation to determine its locomotion and finds a behavior policy for the input design that is used as a baseline for comparison. The agent is randomly modified within the allowed ranges, creating a new generation of several hundred agents. The generation is trained by transferring the previous policy, which significantly speeds up the training. The best-performing agents are selected, and a new generation is formed using their crossover and mutations. The next generations are then trained until satisfactory results are reached. We show a wide variety of evolved agents, and our results show that even with only 10% of allowed changes, the overall performance of the evolved agents improves by 50%. If more significant changes to the initial design are allowed, our experiments' performance will improve even more to 150%. Our method significantly improved motion tasks without changing body structures, and it does not require considerable computation resources as it works on a single GPU and provides results by training thousands of agents within 30 minutes.

A Robotic Teleoperation System Enhanced by Augmented Reality for Natural Human–Robot Interaction

Telekinesis, as commonly portrayed in science fiction literature and cinema, is a super power wherein users control and manipulate objects absent in physical interaction. In real world, enhancing human–robot interaction needs the synthesis of human intuitive processes with robotic arm. This paper introduces a robotic teleoperation system achieving the essence of telekinetic operations, combining the profound capabilities of augmented reality (AR) with the robotic arm operations. Utilizing AR, the proposed methodology offers operators with a visual feedback, facilitating a level of control surpassing the capacities of natural interfaces. By using AR-driven visual recognition, this system achieves operations in a virtual environment, subsequently actualized in the real world through the robotic arm. Through multiple experiments, we found that the system has a small margin of error in telekinesis operations, meeting the needs of remote operation. Furthermore, our system can operate on objects in the real world. These experiments underscore the capability of the remote control system to assist humans in accomplishing a wider range of tasks through the integration of AR and robotic arms, providing a natural human–robot interaction approach.

A Usability Survey of a Quality Improvement Data Visualization Tool among Medical Intensive Care Unit Nurses

Abstract Background Cognitive overload is prevalent among intensive care unit (ICU) clinicians. Data visualization may decrease cognitive load by assisting with data interpretation and task prioritization. We developed the Bundle Board to display real-time data from the electronic medical record (EMR), highlighting opportunities for action in standardized ICU patient care. This study evaluates the practical usability of this data visualization tool among nurses in the ICU. Methods The tool is offered as an application separate from the EMR and was available in the medical ICU for 8 months before we surveyed unit nursing staff. To evaluate usability of the tool, we adapted the Health-Information Technology Usability Scale and included an option to provide open-ended feedback. Survey data were analyzed using quantitative and qualitative methods. Results ICU nurses were invited to participate through email and verbal announcements. Of the potential participants, 38% (N = 47) responded. The survey demonstrated that the tool was perceived as usable. For each subscale, mean scores were as follows: Perceived Ease of Use 4.40, Impact 4.14, User Control 4.07, and Perceived Usefulness 3.61. There were no significant differences between core and contracted nurses or after stratifying by duration of Bundle Board use. Fifteen respondents completed the optional free-text portion of the survey. Qualitative analysis revealed six subthemes focusing on perceived impacts on quality and safety, cognitive burden and workload, and emotional impact of the Bundle Board. Conclusion The Bundle Board demonstrated good usability among ICU nurses, who provided substantive feedback for its improvement. These observations may be generalizable to other comparable interventions. Iterative feedback from end users is vital to developing and implementing a digital health intervention. Our study provides a framework for performing a usability analysis within a specific clinician population and environment.

The Impact of Problematic Social Media Use on Inhibitory Control and the Role of Fear of Missing Out: Evidence from Event-Related Potentials.

The general deficit in inhibitory control of problematic social media users has received widespread attention. However, the neural correlates of problematic social media use (PSMU) and inhibitory control remain unclear. Additionally, the co-occurrence of the fear of missing out (FoMO) with social media use is common, yet its role in the relationship between PSMU and inhibitory control has not been investigated. This study aimed to examine the electrophysiological correlates of PSMU and inhibitory control using a modified two-choice oddball task combined with event-related potentials (ERPs), and to explore the role of FoMO in this relationship. A total of 66 participants with varying degrees of PSMU were included in the analysis based on the Problematic Mobile Social Media Usage Questionnaire. The study found that PSMU could impact inhibitory control. Specifically, as the PSMU score increases, the N2 amplitude is greater for social media-related pictures, and the P3 amplitude is smaller, while no significant differences are observed for neutral pictures. This suggests that PSMU affects inhibitory control by consuming more cognitive resources in the early conflict detection stage and leading to insufficient cognitive resources in the later stages of the inhibitory process. Furthermore, FoMO played a mediating role between PSMU and inhibitory control. PSMU could further impact inhibitory control through FoMO. This study provides electrophysiological evidence for deficits in inhibitory control in PSMU and suggests that FoMO may further reduce inhibitory control in PSMU individuals.

Design and Implementation of an Autonomous Wheelchair with Medical Kit Access Using Raspberry Pi

This paper presents an autonomous wheelchair system designed to enhance the mobility of elderly individuals and people with disabilities through advanced automation and artificial intelligence. Recognizing the importance of independent movement for promoting physical and psychological well-being, this system addresses the challenges faced by those with limited mobility. The wheelchair leverages various sensors to minimize the need for human intervention, thereby fostering autonomy and reducing reliance on caregivers. The system includes an Android interface connected via Bluetooth, allowing for intuitive user interaction and control. Utilizing Raspberry Pi technology, the research aims to create a reliable framework that can adapt to user needs through data processing and analysis. Additionally, the system enables effective communication through head-mounted support, allowing users to record and relay information. Ultimately, this autonomous wheelchair aims to improve mobility and confidence for individuals with disabilities while enhancing their overall independence and quality of life.

Decentralized Finance: Principles of Functioning, Infrastructure, Risks

The article analyzes the differences between centralized and decentralized exchanges in the cryptocurrency market. The author notes the impact of bankruptcies of centralized representatives who provided services in the cryptocurrency market on the interaction of users with decentralized finance instruments. The publication considers the key representatives of decentralized finance, their capitalization, available capital, and technological developments. It substantiates the advantages and risks of using decentralized finance instruments and studies the differences between centralized, decentralized, and algorithmic stablecoins. To assess the capitalization of decentralized finance instruments, the asset value indicator TVL (Total Value Locked) is used. TVL represents the amount of assets currently placed in a particular decentralized finance instrument or protocol. The RWA narrative is significant in the crypto space as it demonstrates increased interconnectedness. DeFi, previously isolated from TradFi, has now become an integral part of a more holistic financial ecosystem. Blockchain technology has demonstrated its potential for transformation through real-world use cases. Real-world assets (RWAs) are an attractive option due to the large traditional finance market. While they offer benefits such as portfolio diversification and enhanced returns, it is crucial to mitigate default risk. Platforms like Goldfinch have a proven track record. Tokenizing RWAs can increase market participation and financial inclusivity. The study's results indicate significant development of decentralized finance instruments over the past three years. This is evidenced by the amount of capital invested in these instruments and the number of users, despite the technological and regulatory risks associated with them. The study's conclusions indicate that despite the technological novelty, users are increasingly interested in interacting with decentralized finance instruments. However, users face difficulties in understanding how these instruments work and in gaining experience with these products. The comparative analysis by Saif Ahmed Abdulhakeem and Qiuling Hu titled "CeFi vs. DeFi — Comparing Centralized to Decentralized Finance" systematically contrasts Centralized Finance (CeFi) with Decentralized Finance (DeFi) across legal, economic, security, privacy, and market manipulation dimensions. It aims to provide a structured approach for distinguishing between CeFi and DeFi services, emphasizing DeFi's transparency and user control advantages. However, unresolved issues in decentralized finance, such as regulatory frameworks and risk assessment, necessitate further research. The study also underscores the importance of improving user experience design and overcoming adoption challenges for DeFi. In their academic discourse titled "Powered by Blockchain Technology, DeFi (Decentralized Finance) Strives to Increase Financial Inclusion of the Unbanked by Reshaping the World Financial System," Abdulhakeem and Hu analyze DeFi's potential to enhance financial inclusion for the unbanked. They highlight the pivotal role of blockchain, particularly Ethereum, in enabling DeFi. While acknowledging DeFi's decentralization benefits, the article suggests it as a complement rather than a replacement for traditional finance. It advocates for future research on integrating DeFi with global banking systems and improving user interface and security. Overall, while recognizing DeFi's transformative potential, the article underscores the need for ongoing research to address challenges and integrate DeFi into mainstream finance seamlessly.

A User Control Framework for Cloud Data Migration in Software as a Service

A User Control Framework for Cloud Data Migration in Software as a Service

Development of a self-contained microfluidic chip and an internet-of-things-based point-of-care device for automated identification of respiratory viruses.

The COVID-19 pandemic greatly impacted the in vitro diagnostic market, leading to the development of new technologies such as point-of-care testing (POCT), multiplex testing, and digital health platforms. In this study, we present a self-contained microfluidic chip integrated with an internet-of-things (IoT)-based point-of-care (POC) device for rapid and sensitive diagnosis of respiratory viruses. Our platform enables sample-to-answer diagnostics within 70 min by automating RNA extraction, reverse transcription-loop-mediated isothermal amplification (RT-LAMP), and fluorescence detection. The microfluidic chip is designed to store all the necessary reagents for the entire diagnostic assay, including a lysis buffer, a washing buffer, an elution buffer, and a lyophilized RT-LAMP cocktail. It can perform nucleic acid extraction, aliquoting, and gene amplification in multiple reaction chambers without cross-contamination. The IoT-based POC device consists of a Raspberry Pi 4 for device control and data processing, a CMOS sensor for measuring fluorescence signals, a resistive heater panel for temperature control, and solenoid valves for controlling the movement of on-chip reagent solutions. The proposed device is portable and features a touchscreen for user control and result display. We evaluated the performance of the platform using 11 clinical respiratory virus samples, including 5 SARS-CoV-2 samples, 2 influenza A samples, and 4 influenza B samples. All tested clinical samples were accurately identified with high specificity and fidelity, demonstrating the ability to simultaneously detect multiple respiratory viruses. The combination of the integrated microfluidic chip with the POC device offers a simple, cost-effective, and scalable solution for rapid molecular diagnosis of respiratory viruses in resource-limited settings.

인공지능 기반의 문학번역에 관한 저작권법 문제

Translation is a form of creativity, and AI creativity is making remarkable strides in many fields, including music, art, and literature, but especially in literature translation, where AI-based machine translation is becoming a reality. The recent happening about the winner of the Newcomer Award Competition of Literature Translation Institute of Korea, who was found to have utilized machine translation, has drawn attention to the question of how to set the boundaries between machine and human translation. I argue that AI-generated translation (AIGT), which is a purely AI translation without human assistance, is only reproduction under copyright law, while AI-assisted translation (AIAT), which is a human translation with the help of AI, can be a derivative work under copyright law as a translation. The distinguishing factor between the two is the control and subjectivity of human users of machine translation in the post-editing process, and the context surrounding the translation. This paper points out that excessive pre-editing by human users to facilitate machine translation may undermine the diversity of the original text. Once the legal status of machine translation output has been determined, I discuss the legal responsibility of human users to exercise due care at the stage of publication. The legal liability of failing to disclose that a work is the result of machine translation is also discussed, as well as plagiarism liability, which is not a legal liability.

Pengaruh Literasi Keuangan Terhadap Perilaku Konsumtif dan Locus of Control Pada Penggunaan Shopee Paylater

This study aims to determine the effect of Financial Literacy on Consumptive Behavior Through Locus Of Control in Using Shopee Payleter in Millennial Generation (Study on University Students in Lamongan). The object of this research is all the millennial generation or university students in Lamongan. The sample in this study were students majoring in Accounting class of 2019 and 2020 at universities in Lamongan. This study uses primary data by distributing questionnaires online to 100 respondents using the solvin formula, which is a university millennial generation in Lamongan aged 22-40 years and is a Shopee Paylater user. This study uses the technique of Probability Sampling with Simple Random Sampling Technique. This study uses the Partial Least Square (PLS) approach using the SmartPLS Version 3.0 application. The results showed that financial literacy has a significant effect on the consumptive behavior of shopee paylater users with a positive relationship direction. Financial literacy has a significant effect on the locus of control of shopee paylater users with a positive relationship direction. Locus of control has a significant effect on the consumptive behavior of shopee payleter users. can mediate the relationship of financial literacy to the consumptive behavior of Shopee Paylater users with a positive relationship direction.

Customer Service Through Artificial Intelligence in Anjiela Technology Company: A Comprehensive Study

This quantitative descriptive research examined the impact of Artificial Intelligence (AI) on customer service at Anjiela Technology Company in China. Using a sample of 100 customers, data were collected via a structured survey covering AI's influence on customer satisfaction, efficiency, personalization, accuracy, and user-friendliness. The findings highlight AI's positive impact on customer satisfaction, while also identifying areas for improvement, such as reducing wait times and enhancing personalization. Additionally, the study underscores the importance of trust and transparency in AI adoption, addressing customer concerns about data privacy, fairness, and user control. Recommendations include enhancing AI training, addressing technical challenges, improving data quality, ensuring ethical compliance, and enhancing transparency through collaboration among different units within the organization. In conclusion, this research underscores AI's potential for improving customer service and emphasizes the need to address challenges and ethical considerations for effective implementation.

Управление уровнем риска в условиях цифровой трансформации социально-экономических экосистем

For successful development, modern socio-economic ecosystems require mastering and using advanced technologies for risk management. The purpose of this study is to analyse the metho­dological problems of identifying risk factors when a business enters a socio-economic ecosystem resulting from changes in the environment characteristics and digitization of the economic space.
 In this study, the authors use the methodology and applied tools of the operational theory of risk management and systemic economic theory to investigate the risk management and identify its features. It is substantiated that socio-economic ecosystems built on digital multi-stakeholder platforms can be viewed as fundamentally new socio-technological institutions. The paper demonstrates different levels of risk management within the digital ecosystem and the emergence of a new tool  user or consumer control  in risk management.
 The paper reveals that risk management in modern socio-economic ecosystems is tightly linked to the values of the new generation of consumers: safe environment and overall socially responsible businesses.

User Interface and User Experience Disaster Education Game Application Using Heuristic Evaluation

Natural disaster educational game application to introduce Raudhatul Athfal (RA) level students to learning and knowledge. A game application was created to make it easier to recognize and complete a stage in the form of a game operated via computer, making it additional learning how to use a computer and knowing how to responsive and alert when a disaster strikes, what should be done through this application game? In order to better measure students' abilities when using this application, it is necessary to assess several respondents, one of whom is the teachers at the school, to assess whether this application will be of interest or not in understanding how to use it and other components. The assessment process is through distributing questionnaires and filling in the results through respondents using a Likert scale with heuristic evaluation indicators filled in with the statement that this application is interesting at the class size level for RA (Raudatul Athfal) students with a Visibility of system status score of 74, Match between system and real world tea 71, User control and freedom 58, Consistency and standards 72, Error prevention 64, Recognition rather than recall 73, Flexibility and efficiency of use 78, Helps users recognize diagnose 66, Recovers user 75, Help and documentation 79 with a total score of 710 using the Likert scale formula.

Design, control and evaluation of a treadmill-based Pelvic Exoskeleton (PeXo) with self-paced walking mode

Most gait rehabilitation exoskeletons focus only on assisting lower limb motions. However, the pelvis plays an essential role in overground ambulation. This calls for the need of gait training devices that allow full control and assistance of user’s pelvis to improve gait rehabilitation therapies of stroke survivors. This paper presents a new pelvic assistance treadmill-based exoskeleton (PeXo) for gait rehabilitation. The system includes a total of 5 actively controlled Degrees of Freedom (DOFs), plus a passive one, in order to provide all DOFs of the human pelvis. The paper describes the mechatronic design and haptic control of PeXo, and introduces a newly developed self-paced walking mode where the user can control walking speed at his/her will. The system was evaluated by means of a pilot study with a stroke survivor. Results showed PeXo can be used safely and reliably during walking activities, allowing for the natural motion of the pelvis with reduced interaction forces. However, the use of the platform reduced user’s Range of Motion at the pelvis and lower limb joints, whereas lower limb’s muscle activity increased to compensate the disturbances introduced by the platform. Nevertheless, the user reported a positive feedback when using the system, suggesting potential and promising advantages of PeXo that should be explored in a larger study in the future.

The integration journey in Wales – moving below the waterline. Fitting with the conference theme of ‘Change management implementation' this presentation will explore the journey so far in Wales in creating structural, legislative and system change. 

In 2014 the ground-breaking Social Services and Wellbeing Wales Act set out a new vision for social care which was built on the principles of prevention, service user voice and control, co-production and integration. This was further supported by the vision set out in a Healthier Wales; our 10 year plan for Health and Social Care.
 This legislation placed a legal duty on Local Authorities and Local Health Boards to ‘co-operate’ in meeting the care and support needs of their population. It saw the creation of seven Regional Partnership Boards (RPBs) which brought together Health, Social Care, Housing and Third Sector partners with service providers, service users and unpaid carers to strategically plan care and support in their area. 
 Six years on RPBs have made some notable progress including integrated needs analysis and planning arrangements and the development of integrated service delivery models. However more work is needed to embed integration into our heath and social care system. 
 RPBs are increasingly being viewed as an iceberg, with partnership working so far being progressed ‘above the waterline’ with the small group of people and organisations committed to the integration journey. This presentation will set the ambition in Wales for moving ’below the waterline’ and engaging with wider stakeholders and partner organisations to mainstream integration.
 RPBs are made up of a wide range of stakeholders including service users and unpaid carers. They have all contributed to the integration journey so far and in 2022 these stakeholders have been working closely with Welsh Government officials to review and strengthen current structural arrangements.
 Recent work has included the co-production of an engagement charter to support the effective engagement of services users, carers and third sector organisations in the work of Regional Partnership Boards as true partners.
 
 Work has also been completed to fully align the strategic work of RPBs with Local Primary Care Cluster arrangements in order to ensure strategy and locality based delivery inform and complement each other. 
 Evidence to understand and shape the journey so far has also been provided by Audit Wales, a KPMG review of pooled budget arrangements across Wales and evaluations of the Integrated Care Fund and the Transformation Fund. These two evaluations provided the learning to shape the five year Regional Integration Fund (RIF) launched by Welsh Government in April 2022. The £144.6m a year RIF will seek to create sustainable system change through the integration of health and social care services so that by the end of the five year programme, we will have established and mainstreamed six new national models of integrated care. 
 This presentation will highlight the progress made in Wales in relation to creating structural, legislative and system change but will also raise the question of how to secure the necessary behavioural change to mainstream the integration of health and social care. It will focus on the importance of having the right balance and alignment between systems, structures and people, resources to lever change and the need for a new style of leadership. 

HUMAN FACTORS ISSUES IN THE DESIGN OF VIRTUAL REALITY TO SUPPORT OLDER ADULTS’ SOCIAL AND COGNITIVE ENGAGEMENT

Abstract Emerging technologies such as virtual reality (VR) hold tremendous potential to improve the lives of older adults, including the opportunity to support social and cognitive engagement. However, this potential will only be realized if VR technologies and applications (apps) are well-designed, considering the needs, preferences, and abilities of older people. To explore and understand design barriers ahead of a randomized controlled trial testing the efficacy of a psychosocial VR intervention for older adults, a team of eight evaluators who underwent standardized and comprehensive training on how to perform a heuristic analysis assessed the design of 28 commercial VR apps. Apps were chosen for their potential to support social interactions, enhance cultural opportunities, facilitate new learning, or support leisure activities. Each app was evaluated based on the Nielsen Norman Group’s ten usability heuristics. For different VR components (hardware, app menus, VR environment), this analysis highlighted specific heuristic violations, examined the general human factors of these apps, and identified positive design elements while suggesting solutions for observed heuristic violations. The heuristic analysis revealed significant usability challenges, especially in areas like “System Status Visibility,” “User Control and Freedom,” and “Help and Documentation.” The primary system components exhibiting these heuristic violations were the “User Interface” and “Virtual Environment.” It was concluded that current virtual reality systems do not adequately address human factors issues, particularly considering the needs and abilities of older adult users. Based on this extensive evaluation, training and design solutions will be presented and VR guidelines for older adults will be introduced.

Pembuatan Aplikasi Persediaan Barang Berbasis Web Pada PT. Bayan Resources Tbk

This research aims to design and implement a web-based Goods Inventory Information System at PT Bayan Resources Tbk. The company faces challenges in inventory management, such as stock uncertainty, variations in order cycle time, and operational efficiency levels that need to be improved. Waterfall method is used as a framework for system development, with stages of requirement analysis, design, implementation, testing, and maintenance. The system is designed to improve operational efficiency through integration of inventory data, order management, and item tracking. The result is a web-based application with features such as a secure login page, informative dashboard, master data management, efficient input of incoming and outgoing goods, and careful user control. With the implementation of dark mode, the system gives users the flexibility to customize the display according to their preferences. Users can easily access, track, and analyze inventory data, supporting faster and more accurate decision-making for the company.

Exploring users’ desire for transparency and control in news recommender systems: A five-nation study

As news organizations increasingly adopt AI-driven technologies like news recommender systems (NRS), notions of responsible artificial intelligence (AI) design have attracted significant scholarly and public attention. Particularly, transparency and user control are crucial for the fulfilment of democratic freedoms and human rights. However, users’ desire for such features in NRS has not yet been sufficiently examined. Therefore, this study set out to comparatively examine how individual-level characteristics contribute to the desirability of transparency and user control in NRS across five nations (Netherlands, Poland, Switzerland, United Kingdom, United States; N = 5079). We show that the desire for features of responsible NRS is shaped by individual-level characteristics like NRS-related concerns and algorithmic awareness but does not always manifest equally across different national settings. By considering the audience’s view on features of responsible NRS, our study can be a stepping stone towards responsible journalistic AI.