User Applications Research Articles

Enhancing smartphone security with human centric bimodal fallback authentication leveraging sensors.

Smartphones store valuable personal information, necessitating robust authentication methods to protect user data. This research proposes a lightweight bi-model fallback authentication technique that combines dynamic security questions and finger pattern recognition using inertial measurement units. The dynamic security questions are generated based on the smartphone's usage behavior, while the owner's finger movements are captured using four different inertial sensors: accelerometer, gyroscope, gravity sensor, and magnetometer. By combining the answers to the questions and the owner's finger movements, the user can be authenticated even if the primary authentication method fails. In this study, data was collected from 24 participants, including 12 primary phone users and 12 close adversaries, over a span of 28 days. The dynamic security questions, derived from call, SMS, battery charging events, application usage, location, and physical activity categories, achieved high accuracy rates, with call, SMS, and application usage surpassing . Incorporating the inertial measurement units significantly improved the accuracy of all question types, increasing from a maximum of to , while also enhancing the True Positive Rate from 0.79 to 0.99 compared to a previous study. This research presents a promising lightweight bi-model fallback authentication technique that leverages dynamic security questions and inertial measurement units data, demonstrating its effectiveness for enhancing smartphone security.

Unleashing the potential of eHealth in outpatient cancer care for patients undergoing immunotherapy-a quantitative study considering patients' needs and current healthcare challenges.

The use of online information and communication is globally increasing in the healthcare sector. In addition to known benefits in other medical fields, possible specific potentials of eHealth lie in the monitoring of oncological patients undergoing outpatient therapy. Specifically, the treatment with immune checkpoint inhibitors (ICI) requires intensive monitoring due to various possible negative side effects. The present study explores cancer patients' perspectives on eHealth and demonstrates how eHealth applications, from the patients' point of view, can contribute to further improving outpatient immunotherapy. Our multicenter study was executed at the university hospitals in Bonn and Aachen. A structured questionnaire was distributed to patients receiving outpatient immunotherapy. Contents addressed were (1) the patients' attitude towards eHealth applications, (2) the use of modern information and communications technologies (ICT) in (2a) everyday life and (2b) health-related information search including eHealth literacy, (3) the use of internet-enabled devices as well as (4) socio-demographic data. 164 patients were included in the study, of whom 39.0% were female and 61.0% male and the average age was 62.8 years. Overall, there was a high distribution of internet-enabled devices for everyday use and a great interest in integrating eHealth applications into outpatient immunotherapy. The assessment of eHealth potentials significantly depended on age. The younger participants demonstrated a broader use of modern ICT and a higher affinity for its use in outpatient immunotherapy. In some aspects, level of education and gender were also relevant factors influencing the patients' view on eHealth. This study demonstrates the potential for further integration of eHealth applications into outpatient immunotherapy from the patients' perspective. It indicates a dependency on age and educational level for the further integration of eHealth into patient care in oncology. Due to particular patient needs regarding age, level of education, gender and other subgroups, specific education and training as well as target-group specific digital health interventions are necessary to fully utilize the potentials of eHealth for outpatient immunotherapy. Future studies are required to specifically address target-group specific usability of eHealth applications and eHealth literacy, as well as to address information security and data protection.

SensorHUB – a Novel, Open-source Software Stack for Enhanced Accessibility and Secure Interoperability in IoT Project Management

Abstract. The Internet of Things (IoT) seeks to achieve seamless device connectivity and data sharing, thereby enhancing automation, efficiency, and insights in various fields of application. By delivering real-time data, IoT is essential for systems that aim to model and map the physical world to digital formats, such as digital twins or metaverses. In the recent years, there has been a surge in high-quality commercial IoT products available to various sectors. However, these solutions often come with high costs and proprietary interfaces, which hinder seamless interoperability. For users seeking cost-effective and flexible solutions, open-source software and international standards present viable alternatives. Nonetheless, despite technological progress, the adoption of open and standardized IoT software solutions is still predominantly seen among technology-affine groups or within research and development initiatives. We propose the sensorHUB, a novel IoT stack, which builds upon the Open Geospatial Consortium’s (OGC) data standard SensorThings API and enhances existing solutions towards more accessible, production-oriented solutions for diverse application domains and user groups. Key features include the provision of a new, state-of-the-art graphical user interface for managing data flows and the access to related software modules, and a secure and flexible user and access management.

Acceptability and Usability of Mobile Health Application for Enhancing Treatment Adherence in Latent TB Patients

Background: Mobile health interventions showcase effectiveness for improving treatment adherence among Latent TB Infection (LTBI) patients. However, there is a paucity of evidence regarding their acceptability and usability. This study aimed to assess the initial acceptability and usability of a mobile health application that has been designed to ensure treatment adherence in LTBI patients. Methods: A descriptive study was conducted to assess the acceptability and usability of a mobile health application, “My Treatment Friend”. A total of 82 LTBI patients were selected, and access to the application was given to them. This application provides support to LTBI patients in reporting daily medication and side effects. The basic demographic characteristics of the participants were collected through a Google form-based questionnaire. The acceptability and usability of the application were assessed using the Likert scale questionnaire and SUS tool, with samples of n=44 and n=20 participants, respectively. Results: LTBI patients found the mobile application acceptable and feasible, with an SUS score of 73, which comes under Grade B as per the SUS score sheet. The majority believed that the app was very simple to use and easy to understand. However, there is a requirement to add more features that can enhance the acceptability and usability of the application. Conclusion: The study showed the importance and usefulness of mobile applications to assist LTBI patients in finishing their prescribed treatment courses of action. Additionally, it highlights how crucial it is to build future applications using user-centered design. User-centered design may play an important role in designing mobile applications and ensuring effective engagement and satisfaction among users.

Criminal Prohibitions when Using Mobile Applications

The article summarizes interim results of a research performed under the project of the Russian Science Foundation focusing on criminal law risks of using mobile applications. These risks can be of two types: the risk of being held criminally liable and the risk of being victimized by the criminal activities of others. The second type of risk is better defined because it is addressed in the context of preventing crimes committed using information and telecommunications networks or in the field of computer information in general. The first one implies not only situations when a user intentionally causes harm through a mobile application, but also cases where people do things, the public danger and wrongfulness of which is not obvious to them. Such persons usually have no desire to violate criminal law but do so failing to understand the unlawfulness of their actions due to the specific environment and technological features. Therefore, the ultimate goal of this project (at the next step) is to ensure safety of mobile application users, including inadmissibility of their unjustified criminal liability, through the development of recommendations on the rules of behavior when using relevant technologies. The purpose of the work within the framework of the presented scientific article is to determine the state of use of mobile applications (characteristics of mobile Internet culture) and those criminal law regulations that may be consciously or unconsciously violated by users of mobile applications. To achieve this goal two sociological surveys were conducted among users of mobile applications to determine how they use their mobile devices. The provisions of the criminal law and the materials of criminal cases were analyzed in order to understand what crimes can be committed by users of mobile applications who actually did not want and did not understand that they were violating the criminal law.

Naked-eye light field display technology based on mini/micro light emitting diode panels: a systematic review and meta-analysis

The light field display technology based on panel light modulation has obvious industrial advantages. However, light field displays still causes discomfort for users in practical applications, due to issues such as angle of view, number of viewpoints, and crosstalk, etc. As a new type of high performance 2D display technology, mini/micro light emitting diode (MLED) has the potential to provide higher quality 3D display effects, but it may also bring new technological challenges. This paper provides a detailed investigation of technical principles and the latest research progress in light field display technology based on panel light modulation, and analyzes the industrial and academic research difficulties, which are brought about by the combination of MLED and naked-eye light field display. This paper is the first to complete a technical review specifically focused on MLED and naked-eye light field display, which is expected to accelerate the technological development and application process of naked-eye light field display based on MLED panels.

PENGGUNAAN APLIKASI E-KINERJA SEBAGAI INSTRUMEN PENINGKATAN SASARAN KINERJA PEGAWAI PADA BADAN KEPEGAWAIAN DAN PENGEMBANGAN SDM KOTA KENDARI

This study aims to evaluate the use of the E-Kinerja application as an instrument for improving Employee Performance Targets (SKP) at the Regional Personnel and Human Resource Development Agency (BKPSDM) of Kendari City. The methodology employed is qualitative, with data collected through semi-structured interviews and observations of the application usage process. Respondents were selected using purposive sampling, specifically, employees actively involved in the E-Kinerja application. The results indicate that the application enhances the effectiveness of performance assessment, with both leadership and employees experiencing benefits in terms of accuracy, transparency, and ease of data access. However, challenges such as technical issues and the need for ongoing training for employees persist. Additionally, other important indicators such as timely reporting, data transparency, accuracy in assessment, and employee satisfaction were identified as contributing factors to the effectiveness of the system. Recommendations include improving technological infrastructure, providing continuous training, and developing strategies to enhance the balance between quantitative and qualitative assessments. These steps are expected to further improve accountability and bureaucratic efficiency at BKPSDM Kendari City.

More Than Just a “Bad” Online Experience: Risk Factors and Characteristics of Catfishing Fraud Victimization

ABSTRACT Research focusing specifically on people who have been catfished online, or deceived in some way, but maybe not defrauded out of money is relatively scarce. The current study sought to add to the literature in this area by surveying social media and dating application users about their catfishing victimization experiences (n=1,511). Fourty-four percent had been catfished in the last 5 years. Common characteristics of those who had been catfished include the catfish reaching out first, a short duration of communication, and asking for money, among other characteristics. The lifestyles/routine activities (LRAT) framework and self-control were utilized to examine potential risk factors for catfishing victimization. Both online and offline behaviors were found to influence catfishing risk, suggesting the LRAT can be applied to this type of victimization. Implications for policy application and prevention of catfishing fraud are discussed.

A tool for integrating agrometeorological observation data for digital agriculture: A Minnesota case study

AbstractAgrometeorological data are essential for understanding production using digital agriculture techniques. However, integrating agrometerological observations from multiple sources remains a challenge. Often, digital agriculture scientists download and clean the same datasets many times. We present a prototype system that simplifies the process of collecting, cleaning, integrating, and aggregating data from meteorological data sources by providing a simplified user interface, database, and application programming interface. The prototype provides a standard interface for querying multiple geospatial formats (raster and vector) and integrates observation networks including the National Oceanic and Atmospheric Administration Global Historical Climatology Network (NOAA GHCN), NOAA NClim‐Grid (NOAA's Gridded Climate Normals), and Ameriflux BASE. The system automatically checks and updates data, saving storage space and processing time, and allows users to summarize data spatially and temporally. Provided as open source code and browser‐based user interface, the application and integration system can be run across Windows, Linux, and Mac environments to support broader use of multi‐source agrometeorology data.

PERFORMANCE TESTING ANALYSIS OF BANDUNGTANGINAS APPLICATION WITH JMETER

The bandungtanginas.id application was created to serve the needs of data collection on maternal andchild health at every posyandu in the city of Bandung. This application is planned to be able to servearound 1,982 posyandu in the city of Bandung, around 10,000 users, who are expected to be able toaccess the bandungtanginas.id application. In the current condition of the application supportinfrastructure still has limitations in supporting the bandungtanginas.id application. Withspecifications that tend to be low, an improvement effort is needed through generating applicationusage scenarios so that the services provided can be optimally available using the existinginfrastructure. This research focuses on analyzing the application performance by using load testing.This research has four stages: determining the test's purpose, creating a test scenario, carrying outscenario testing, and analyzing the results. The analysis will be carried out with the results of loadtesting experiments based on the scenarios that have been made. Test scenarios are made to obtainexperimental data, last further analysis and conclusions will be made. Scenarios are created based onan estimate of the optimal number of users the application should serve. The test scenario will use atarget user of between 10 – 200 users who are divided in five groups of load testing scenarios. Fromthis trial, it will be seen how the performance of the bandungtanginas.id application for each scenariogroup that has been created. The result of this study showed that the best scenario forbandungtanginas.id application could serve users in the range of 30-50 users. It is obtained from theresponse time results, which show the average results are under 30 seconds according to the SLA(Service Level Agreement) standard for application users.

Disentangling the influence of mobile learning usability and its determinants–PLS-SEM and importance-performance investigation

Today, numerous mobile learning applications are used to enable learning during the working process or on-the-go. However, few insights that are available regarding mobile application usability (MAU) and its determinants in the context of mobile learning. More specifically, there is a critical need to disentangle the determinants of MAU and their overall impact on MAU while also acknowledging the possible motivational consequences. Therefore, we developed a theoretical model of MAU, its determinants, and its consequences. By utilizing a free simulation experiment, we investigated the role of MAU in the domain of mobile learning. We used structural equation modeling to analyze the theoretical model. The results show a significant influence of MAU on mobile learning compatibility, performance expectancy, and self-efficacy. The results also indicate that compatibility acts as a partial mediator of usability on performance expectancy. Finally, we conducted an importance-performance analysis that reveals key usability insights: UI output, the most critical factor, underperforms, highlighting a major improvement area. UI structure and application design also need enhancement. In contrast, UI input and application utility perform well despite lower importance, with UI graphics showing adequate performance despite being least crucial. The present paper contributes to the discussion concerning MAU and its impact on mobile learning, while delivering formative insights of MAU for mobile learning applications.

The Ease of Use of Applications and Quality of Service Toward Consumer Loyalty in Cargo Express Service Companies, Bekasi, Indonesia

This study tries to assess the effect that may occur among the ease of use of applications on consumer loyalty, quality of service on consumer loyalty, ease of use of applications, and quality of service on consumer loyalty. This study aims to determine how important application usability and service quality are influencing consumer loyalty.This study, discusses the factors that can affect consumer loyalty and determines how much influence the ease of use of applications and service quality have on consumer loyalty. This research utilized purposive sampling. The data gathering approach utilized in this study is questionnaires with Google Forms media. The prerequisite test from the data obtained uses the data quality test and the classical assumption test. This study employed the following data analysis techniques: validity test, reliability test, normality test, multicollinearity test, heteroscedasticity test, multiple regression analysis, statistical t test (partial), F test (simultaneous), and coefficient of determination (R2). The final results show that the two independent variables (the ease of use of applications, quality service) were significantly affected by the dependent variable (consumer loyalty). According to the report, service quality and application simplicity of use account for 42.6% of client loyalty. Keywords: the ease of use of applications, service quality, consumer loyalty

Implementation of the Pieces Method at Levelovo Application User Satisfactiont

Technological advances in payment systems replace the role of cash to non-cash forms that are more efficient and economical. One application that has become an alternative choice for many people in making non-cash payment transactions is the OVO application. This research uses the PIECES method which aims to determine the level of satisfaction of OVO application users in Tebat Agung Village based on performance, information, economics, control and security, efficiency and service (service). The results of this research show that the OVO application received an average total score of 3.40, which shows that users are very satisfied with the OVO application in Tebat Agung Village

Social Media Addiction and Cognitive Behavioral Physical Activity Among Adolescent Girls: A Cross-Sectional Study.

To measure a multivariate analysis of social media addiction and cognitive-behavioral physical activity associated with several sociodemographic characteristics in adolescent girls. A cross-sectional study. The sample consisted of adolescent girls studying in a vocational high-school in the Middle-Black-Sea region in Türkiye (n = 333). A questionnaire, Social Media Addiction Scale-for-Adolescents (SMAS-A), and Cognitive-Behavioral Physical Activity Questionnaire (CBPAQ) were used to collect the data. The mean age was 15.35(SD=1.15), and 29.4% were the ninth-class students. Of the adolescent girls, 85.9% were social-media users, 59.8% used the internet 2-hours-or-more/daily, 67.9% declared themselves as moderately-active. The mean scores of the SMAS-A and the CBPAQ were 3.40 (SD=1.61) and 21.03(SD=7.64), respectively. There was a significantly-negative correlation between cognitive-behavioral physical activity and social-media addiction levels. The One-Way MANOVA results showed significant differences in the academic level, family income, mother education, and physical activity measurement application usage affected to cognitive-behavioral physical activity. Social media usage habit affected to the social media addiction level. Daily internet usage time and self-declared physical activity level were the mutually affected factors. School nurses should act to improve healthy social media usage habits to promote well-being and encourage the positive attitudes towards regular physical activity in this population.

DESIGN AND BUILD A STUDENT ATTENDANCE APPLICATION AT MADRASAH ALIYAH POMPANUA BONE DISTRICT BASED ON ANDROID

This research aims to determine the results of the design and effectiveness of the application as well as determine the responses of users of the Android-based student attendance application at Madrasah Aliyah Pompanua, Bone Regency. This research uses an R&D (Research and Development) type of research that uses the waterfall development model. The data collection techniques used were observation, interviews and questionnaires. This application testing uses the ISO/IEC 25010 quality standard which covers 4 aspects including functional suitability, performance efficiency, usability and protability. The application testing results used ISO/IEC 25010 quality, namely the functional suitability aspect testing was carried out by two system experts, and it was found that this application was in the very good category to use. Performance efficiency aspect testing was carried out using the Android Studio profiler by measuring real-time data for CPU, memory and network when the application was used, and the test results obtained good values. Usability aspect testing was carried out by teachers at Madrasah Aliyah Pompanua Bone Regency using a questionnaire and it was found that this application was in the very good category. Protability aspect testing is carried out by running the application using an Android device in various Android versions. Based on these data, it can be concluded that the Android-based student attendance application at Madrasah Aliyah Pompanua, Bone Regency is acceptable for use as a medium that makes it easier for teachers to take attendance and recap student absences at Madrasah Aliyah Pompanua, Bone Regency

The Influence of Content and Learning Application Usage on Mandarin Vocabulary Among Students at Prima Indonesia University in Medan

This study aims to analyze the impact of content and learning applications on Mandarin vocabulary enhancement among students at Prima Indonesia University in Medan. Employing a quantitative approach, the research involved 36 respondents selected through purposive sampling. The sample selection criteria were based on the use of content and learning applications to improve Mandarin vocabulary. Data were collected through questionnaires and analyzed using SPSS with a series of statistical tests, including validity and reliability tests, classical assumption tests, multiple linear regression analysis, as well as F and t tests. The results revealed that content had no significant influence on Mandarin vocabulary skills, while learning applications had a significant impact.The study concludes that the integration of digital technology in Mandarin language learning can accelerate vocabulary acquisition. These findings provide valuable insights into the effectiveness of using learning applications in enhancing Mandarin language skills at the university level.

An Integrated Model of Smart Home Applications User Experience Based on Cognitive Dissonance

This study constructs an integrated model of user experience in smart home applications (apps) to deeply explore the impact of cognitive dissonance on users’ emotional responses, subsequent behaviors, and experiential outcomes. The research emphasizes the importance of addressing emotional management in the design and development of smart home apps. The findings indicate that emotional response plays a critical mediating role in the user experience of these apps, offering new insights for further optimization. By understanding users’ emotional reactions and behavioral patterns under cognitive dissonance, developers can more effectively improve interface design and enhance the overall user experience.

Understanding critical service factors in neobanks: crafting strategies through text mining

Purpose This study aims to analyse and understand customer sentiments and perceptions from neobanking mobile applications by using advanced machine learning and text mining techniques. Design/methodology/approach This study explores a substantial large data set of 330,399 user reviews available in the form of unstructured textual data from neobanking mobile applications. This study is aimed to extract meaningful patterns, topics, sentiments and themes from the data. Findings The results show that the success of neobanking mobile applications depends on user experience, security features, personalised services and technological innovation. Research limitations/implications This study is limited to textual resources available in the public domain, and hence may not present the entire range of user experiences. Further studies should incorporate a wider range of data sources and investigate the impact of regional disparities on user preferences. Practical implications This study provides actionable ideas for neobanking service providers, enabling them to improve service quality and mobile application user experience by integrating customer input and the latest trends. These results can offer important inputs to the process of user interaction design, implementation of new features and customer support services. Originality/value This study uses text mining approaches to analyse neobanking mobile applications, which further contribute to the growing literature on digital banking and FinTech. This study offers a unique view of consumer behaviour and preferences in the realm of digital banking, which will add to the literature on the quality of service concerning mobile applications.

Dating Anxiety and Loneliness in Online Dating: The Moderating Effect of Gender

In the digital age, online dating applications have revolutionized the way young adults form romantic connections, providing both opportunities and challenges. Understanding the psychological impacts of these platforms is crucial. Young adults, while navigating romantic pursuits and various developmental challenges, are susceptible to feelings of loneliness. Dating anxiety is a significant factor that can exacerbate loneliness within this demographic. Moreover, gender differences may influence individuals' experiences in dating situations. This research aims to explore the relationship between dating anxiety and loneliness among users of dating applications and to examine the role of gender as a moderating variable in this relationship. The study employs a quantitative correlational approach, incorporating demographic data and two scales: the Dating Anxiety Scale and the UCLA Loneliness Scale 3. The research participants consist of 250 early adults aged 20-34 who actively use online dating applications. Data analysis involves descriptive analysis and moderation analysis using the Jamovi software. The research findings indicate a significant direct relationship between dating anxiety and loneliness (p less than 0.001). Furthermore, gender was found to have no significant impact on loneliness (p more than 0.05), and the interaction between dating anxiety and gender was not significant (p more than 0.05). This suggests a uniform impact among both genders in the relationship between dating anxiety and loneliness. The study highlights the complex dynamics influencing loneliness among online dating application users. The findings enhance theoretical understanding of how dating anxiety relates to loneliness. Practically, these insights can help developers create features that reduce anxiety and loneliness. Future research should identify other factors influencing these dynamics to further enrich theoretical and practical knowledge in this field.

Mapping secondary data gaps for social simulation modelling: A case study of the journeys of Syrian asylum seekers to Europe

Simulation models of social processes may require data that are not readily available, have low accuracy, are incomplete or biased. The paper presents a formal process for collating, assessing, selecting, and using secondary data as part of creating, validating, and documenting an agent-based simulation model of a complex social process, in this case, asylum seekers’ journeys to Europe. The process starts by creating an inventory of data sources, and the associated metadata, followed by assessing different aspects of data quality according to pre-defined criteria. As a result, based on the typology of available data, we are able to produce a thematic map of the area under study, and assess the uncertainty of key data sources, at least qualitatively. We illustrate the process by looking at the data on Syrian migration to Europe in 2011–21. In parallel, successive stages of the development of a simulation model allow for identifying key types of information which are needed as input into empirically grounded modelling analysis. Juxtaposing the available evidence and model requirements allows for identifying knowledge gaps that need filling, preferably by collecting additional primary data, or, failing that, by carrying out a sensitivity analysis for the assumptions made. By doing so, we offer a way of formalising the data collection process in the context of model-building endeavours, while allowing the modelling to be predominantly question-driven rather than purely data-driven. The paper concludes with recommendations with respect to data and evidence, both for modellers, as well as model users in practice-oriented applications.