Popular Apps Research Articles

The Customer Perspective on Food Delivery Applications: Insights from Saudi Arabia

In today’s technology-driven era, online platforms and applications have revolutionized various services, including food delivery and offering unparalleled convenience and efficiency. This surge in popularity of digital solutions is driven by consumers' growing technological dependency and their quest for seamless experiences. Consequently, more restaurants outsource delivery services to meet evolving consumer preferences. This study provides business operators with valuable insights into consumer preferences and behaviors regarding online food delivery applications. Specifically, it identifies the determinants influencing the adoption of such apps and explores the most popular apps among the Saudi subpopulation. Additionally, this study investigated the factors associated with the actual usage of online food delivery services. An analysis of the collected data revealed critical factors shaping consumer choices in food delivery services, notably the impact of social media reputation and advertisements. The proximity of restaurants has emerged as a significant determinant, profoundly influencing customer satisfaction and app preferences. Interestingly, while cost did not significantly drive consumers towards online food delivery services, the Jahez app stood out as the preferred choice because of its exemplary customer service. The findings of this study offer valuable insights for informed strategic decision-making within the food delivery ecosystem. Moreover, recommendations for future research are provided to foster a deeper understanding of and innovation in the online food delivery domain.

Job Demands and Mental Health Deterioration: Investigating the Mediating Role of Resiliency.

In the past decade, China has witnessed a significant surge in the popularity of food delivery apps, with its industry now thrice the size of the U.S, employing approximately 7 million drivers navigating urban landscapes on electric bikes and scooters. Predominantly, the market is governed by two main players: Meituan Dianping (backed by Tencent) and Ele.me (supported by Alibaba). Notably, stress and absenteeism stand out as significant challenges in this service sector, with implications for occupational health that translate into considerable costs for both healthcare systems and companies. Existing research has largely overlooked how job demands affect the mental health of food delivery workers in China, and how resilience plays a role in this process. The present study addresses this gap by examining the direct impact of Workload Volume and Pace on the mental health of these workers, and by exploring how personal resilience can mediate this relationship. Furthermore, it delves into the mediating role of Resilience, a personal strength, in this relationship. Using a correlational design with 206 participants, multiple regression analysis suggested a notable variance in Mental Health Decline. Subsequent bootstrapping-mediated analysis confirmed resilience's mediating role, highlighting its importance in managing stress from workload. The results underscore the critical role of personal strengths in managing work-related stress, which can significantly impact both job performance and mental well-being.

After The Queen’s Gambit (2020): The Rise of chess.com and the Chess #MeToo Movement

In 2020, the chess industry saw an unprecedented and exponential spike in player interest due to two key factors: the runaway success of The Queen’s Gambit (2020) limited series on Netflix and worldwide pandemic lockdowns. Lockdowns saw the rise of online chess popularized by chess.com, which after several key acquisitions, sponsor deals, and investments, now holds a near monopoly on the chess industry, surpassing 100 million users in December 2022 and becoming the most popular free gaming app on the Apple Store in twenty eight countries on February 2, 2023. Despite this newfound surge of interest in chess worldwide, women remain at best tokenized and more often, systematically excluded by the chess industry. This essay will act as a wide survey of the proliferation of deeply rooted sexism in multiple aspects of modern chess culture, beginning with gender imbalances inherent in the rules of chess, as well as the canonized ‘openings’, before moving to issues of male gaze in The Queen’s Gambit and online chess streaming celebrities. The tokenizing politics of Chess.com and FIDE (Fédération Internationale des Échecs) will also be analyzed as attempts to cater to a perceived male demographic for capitalistic gain. Additional focus will be allotted to the smaller cash prizes and diminished advertising for women’s chess competitions. In light of this discrimination, the industry’s repetitive claim that chess is a true meritocracy will be refuted.

Do popular apps have issues regarding energy efficiency?

Mobile apps have become essential components of our daily lives, seamlessly integrating into routines to fulfill communication, productivity, entertainment, and commerce needs, with their diverse range categorized within app stores for easy user navigation and selection. User reviews and ratings play a crucial role in app selection, significantly influencing user decisions through the interplay between feedback and quantified satisfaction. The emphasis on energy efficiency in apps, driven by the limited battery lifespan of mobile devices, impacts app ratings by potentially prompting users to assign low scores, thereby influencing the choices of others. In this study, the presence of energy consumption issues within widely-used popular apps that have high app ratings and user interaction has been investigated through the analysis of user reviews. It is anticipated that popular apps, with high ratings, are less problematic than other apps. User reviews were collected from 32 apps across 16 diverse categories and subsequently filtered based on specific keywords. From the resulting pool of 14,064 user reviews, 8,007 reviews were manually identified as specifically addressing the app's energy consumption. The results of the study demonstrate that all 32 popular apps under consideration exhibit issues related to energy consumption. While the frequency of energy-related issues may vary, it is evident that users are concerned about app energy consumption, as evidenced by the reception of complaint reviews regarding their energy usage. App energy efficiency is important to users, including popular apps with diverse features, necessitating developers to address expectations and optimize for energy efficiency. Improving the energy efficiency of apps has the potential to enhance user satisfaction and, consequently, contribute to the overall success of the app.

1. THE MOST POPULAR ARTIFICIAL INTELLIGENCE APPLICATION USED BY AEROSPACE ENGINEERING STUDENTS’ TO LEARN MATHEMATICS

Artificial intelligence (AI) develops over time. Education is concurrently the AI evolution,sometimes in front, sometimes behind. Education underlies AI, and later on, AI is used in education. Therefore, the utilization of AI in education cannot be denied. There are many advantages, but also some limitations and ethical issues that arise from the use of AI in education. There are many applications of AI in mathematics scattered throughout society, but not all of them are useful enough. Thus, the purpose of this research is to gain the famous application AI in mathematics (app AI math) that is mostly used and recommended by the students’ experience in doing and learning mathematics. T-test independent samples were used to test the score of two groups, using the AI math app or not, in order to know whether it was affected or not. The result of this research is that the most popular app is Photomath, followed by ChatGPT and Mathway. But still, many students did not use this app. Relating to their score, the students who have used the AI math app to learn math before are not different from the students who do not use the AI math app.

Let gambling hide nowhere: Detecting illegal mobile gambling apps via heterogeneous graph-based encrypted traffic analysis

Mobile gambling apps, as a new type of online gambling service, have not only enriched people’s online entertainment activities but also brought about negative impacts for both individuals and society. Existing gambling app detection methods mainly extract static content-based characteristics, such as vision and textual features, to mine the key information from the user interface to detect gambling apps. In this paper, we are the first to introduce a dynamic communication characteristic-based approach by utilizing encrypted traffic analysis. Firstly, we conduct an analysis of the communication characteristics of 175 popular gambling apps in China, and unveil their important server domain name randomization and inter-app level familial characteristics, which cannot be well-leveraged by previous encrypted traffic analysis methods. Based on the analysis results, we design HeCGamb, a Heterogeneous Communication Graph-based method to enhance the Gambling app detection performance. HeCGamb models the inter-flow relations from various traffic flows to mine the flow-level communication patterns of gambling apps. Based on the inter-flow relations, HeCGamb further constructs inter-app relations to utilize the app-level familial characteristics. Finally, the multi-view semantic information from both servers and apps with inter-app relations are fused to generate the app node representations to comprehensively leverage the characteristics from server domains and familial apps. Extensive experiments not only demonstrate the superior performance(94.1% F1-score and 96.8% AUC score in open world) of HeCGamb, but also highlight its potential in gambling industry chain tracking.

Comprehensive evaluation of privacy policies using the contextual integrity framework

AbstractOnline privacy policies are often lengthy and difficult to understand. This may lead many users to avoid reading them despite increasing concerns about how their personal information is managed. This article presents a structured approach to evaluate the transparency and comprehensiveness of privacy policies using a comprehensive set of evaluation questions within the contextual integrity (CI) framework. We use these questions to identify policies' responses to key privacy concerns. Applying the CI framework, we analyze the clarity and context of these responses, identifying any vagueness and contextual issues that could impede a user's understanding of the privacy policy. Using the CI analysis, we quantify the quality of policies' responses, thereby enabling users to make informed decisions about online services or products. We apply our methodology to two popular messaging apps, Telegram and WhatsApp, using them as case studies to systematically uncover the strengths and weaknesses of their privacy policies. The findings demonstrate that our proposed methodology can effectively identify transparency issues and assess the comprehensiveness of privacy policies. This suggests that our approach could serve as a practical alternative to subjective evaluations typically conducted by privacy experts.

ANALISIS SENTIMEN ULASAN APLIKASI SHAZAM DI GOOGLE PLAY STORE MENGGUNAKAN SUPPORT VECTOR MACHINE

Shazam is a popular music recognition app on the Google Play Store. Shazam allows users to discover new songs and identify songs that are playing around them. In addition, it provides song lyrics, music videos, and song recommendations. User reviews give an idea of how users perceive the application, be it positive or negative. In this study, sentiment analysis was conducted on Shazam user reviews on the Google Play Store. The researchers used a Support Vector Machine (SVM) model to classify user reviews into two sentiments, namely positive and negative. Results show that SVM has 84% accuracy in predicting the sentiment of Shazam reviews. Furthermore, it can be shown that Shazam gets five times more positive responses than negative responses. Therefore, SVM is better at predicting positive reviews than negative reviews. This research can help interested parties to understand how users perceive the app as a whole.

An assessment of ten popular pregnancy applications (Apps) available for women in Australia

ObjectiveGiven the growing popularity of health Apps, this study aimed to evaluate popular pregnancy Apps among Australian women. DesignTen popular pregnancy mobile device Apps accessible within Australia were assessed using the Deakin Health E-technologies Assessment Lab (HEAL) framework, the Australian Privacy Principles (APP) and other context-specific criteria. ResultsMost Apps were robust in use and user-friendly in terms of design. Based on the HEAL assessment, all the Apps scored between 70 and 89 out of 120. Only two of the ten Apps were locally hosted and operated. Only one App could search local health services using Victorian postcodes. All ten Apps were aligned with various privacy policy guidelines, but only one was reported to be fully aligned with the APP as it is locally hosted and operated. None of the Apps had accessibility features such as for visual or hearing difficulties. Only one App could be assessed as able to interface with the electronic medical record system in Australia due to a lack of publicly available information on this capability. ConclusionsDue to privacy concerns, pregnancy Apps accessible in Australia should be used with caution unless care is taken to select an App that fully complies with local requirements or international equivalents. All Apps were subjectively rated as moderate in quality, and more attention to accessibility and privacy features by App developers is recommended, along with the focus on integration with Australian digital health services.

Access and function of oil palm farmers to information and communication technology in Riau Province, Indonesia

Based on a 2018 study, it was discovered that nearly 60% of oil palm farmers in Riau Province have embraced the use of smartphones. This trend presents an opportunity for information and communication technology to be leveraged in oil palm development initiatives. The research aimed to explore how oil palm farmers utilize technology and access information. The survey method was employed, and respondents were selected from two districts in Riau Province where oil palm plantations have been developed and replanted. Only farmers who use smartphones were included, resulting in a sample size of 279. The study utilized quantitative descriptive analysis to examine farmers’ access to and use of smartphone technology. The findings show that farmers primarily use smartphones for entertainment, with WhatsApp and Facebook being the most popular apps. However, only 16% of farmers use their smartphones to check palm oil prices online, and a mere 3% have accessed websites for knowledge and skills relevant to oil palm farming. The study recommends the creation of social media apps that are user-friendly, easily accessible, and present information in a clear and understandable format.

Exploring the influence of sensory brand recognition on brand loyalty within the quick service restaurant industry: an analysis of branded food retailers in Kerala

In today's competitive business landscape, organized retail establishments are facing formidable challenges from online counterparts, while fast-food retailers are also facing the pressure. The rise in popularity of online food delivery apps has compelled organized restaurant businesses to swiftly adapt and innovate to thrive in this new business environment. When customers order food through online, the differentiating factor primarily is the taste of the food. However, when customers physically visit a restaurant, their experience is influenced by four additional sensory elements present in the retail outlet: sight, smell, sound, and touch. These sensory elements are intentionally employed by companies to position and distinguish their brand from competitors. This study intends to investigate how these sensory components affect consumers' perceptions of quality, which in turn affect purchase intentions. The study focuses on a selection of internationally recognized retail food outlets, with a significant presence across the globe, that have established locations in three major cities in Kerala: Kochi, Trivandrum, and Kozhikode

Mobile Food Tracking Apps: Do They Provoke Disordered Eating Behavior? Results of a Longitudinal Study.

Some studies connect the popularity of food-tracking apps to an increase in restrictive eating and other disordered eating behaviors and find those apps harmful for psychological well-being, but there is a lack of empirical studies, especially of Russian samples. To examine the connection between disordered eating symptoms, psychological well-being, and the use of a mobile food-tracking application. The participants were 26 women aged 18-30 (M = 21.96; SD = 3.33); 24 completed the study. During the pre-test, the participants completed the Dutch Eating Behavior Questionnaire (Van Strien et al., 1985), the Eating Attitude Test (Skugarevskii, 2007), the Hospital Anxiety and Depression Scale (Ma et al., 2023), the Situation Inventory of Body-Image Dysphoria (Baranskaia & Tataurova, 2011), and a socio-demographic survey with additional questions related to food tracking, weight, and disordered eating. The experimental group was then tasked with tracking their food consumption with a mobile app for a month. The test battery was completed again immediately after the experiment ended, and for a third time one month later. The comparative analysis showed a decrease in anxiety throughout the study, with a tendency-level increase in depressive symptoms by the end of the experiment. Contrary to expectations, emotional and external eating decreased during the experiment, while restrictive eating did not change. However, the risk of general disordered eating behavior increased one month after the experiment. The correlations between psychological well-being and eating behavior changed during the study. Immediately after the experiment, more correlations between eating behavior, body dissatisfaction, anxiety, and depression emerged, while at the later cutoff, correlations with depression and anxiety became insignificant. The study had mixed results, contradicting some previous research. Both emotional and external eating decreased along with anxiety levels; however, general disordered eating symptoms increased after food tracking.

THE ROLE OF LANGUAGE LEARNING APPS IN ENHANCING VOCABULARY OF B2 LEVEL STUDENTS

This article discusses the benefits and limitations of language learning apps in enhancing the vocabulary of B2 level students. The article highlights the importance of vocabulary in language learning and introduces language learning apps as a convenient and accessible tool for enhancing vocabulary. The article provides an overview of popular language learning apps such as Duolingo, Memrise, Babbel, Rosetta Stone, and Lingodeer. The effectiveness of language learning apps for vocabulary enhancement is supported by research studies and testimonials from B2 level students. However, the article also acknowledges the challenges and limitations of language learning apps, such as the lack of human interaction and feedback, limited range of vocabulary covered in the app, and inability to address individual learning needs. The article concludes by summarizing the benefits and limitations of language learning apps and providing final thoughts on their role in enhancing the vocabulary of B2 level students.

Exploring the Impact of Xiaohongshu on the Psychology of Young White-Collar Employees in China

Since its establishment in 2013, the Xiaohongshu (Little Red Book) app has rapidly as a prominent social platform. Known for its high-quality and engaging user-generated original content, the platform records and introduces various experiences and usage strategies in different fields such as fashion, photography, shopping, and food through various forms. Due to its unique content and format, Xiaohongshu is popular among young female users and has become a leader in comprehensive software. This study delves into the psychological impact of the Chinese social media platform Xiaohongshu on young white-collar professionals. In order obtain valid data, we conducted a comprehensive survey through the questionnaire. Through detailed analysis of the survey results, we found that Xiaohongshu, as a popular social media app, has had a broad profound impact on the psychology of young white-collar professionals. Furthermore, the study found that Xiaohongshu not only provides a platform for young white-collar professionals to information and share experiences, but also meets emotional, social, and self-identity needs through its rich content formats and personalized recommendations. In addition, Xiaohongshu also positively influences users’ values, consumption attitudes, and lifestyles by inspiring their desires and pursuits. In conclusion, Xiaohongshu app has a significant influence on young white-collar professionals, and its positive impact on user psychology deserves further attention and research.

A Change in the Weather: Understanding Public Usage of Weather Apps

Weather information can now be accessed through a variety of different media. This study used a survey to determine if the weather app was the primary source for weather information in the United States and whether this was related to age and other personal characteristics. More than 75% of the sample reported using a weather app for general forecast information. In cases of severe weather, weather apps and websites were reported to be the top two primary sources. While younger demographics had more weather app users than older demographics, the weather app was still the most popular source among the older groups. The most popular apps were the pre-downloaded app on a phone, The Weather Channel’s app, and the AccuWeather app. Participants who chose to use an app other than the pre-downloaded one reported higher self-perceived knowledge about, and interest in, weather. In addition, 80% of respondents reported getting severe weather notifications on their phone. The study’s survey sample was heavily skewed toward a younger population and may not be generalizable to all socioeconomic demographics. Considering previous research, these results indicate a shift in the predominant forecast sources used by the public over the last 10–15 yr. Consequently, it has resulted in a widespread transfer of responsibility for interpreting and explaining the forecast. A majority of the public—untrained in meteorology—is now interpreting the forecast on their own without the help of a broadcast meteorologist as would be present in a television forecast, making the forecast open to misinterpretation and false expectation. This study calls for continued research to combat misinterpretation and to enhance weather apps and mobile notifications with more personalized information that can aid weather-related decision making to make weather apps a strong leader in forecast messaging.

Strategies for Elevating Idle Fish in the Second-Hand E-commerce Market

The rapid development of digital technology and the Internet has also created favorable conditions for the rise of second-hand trading platforms. The popularity of the Internet has made it easier for people to find and trade unused items. In contrast, the popularity of smartphones and apps has further promoted the convenience of second-hand transactions. Idle Fish is a subsidiary of Alibaba and provides a second-hand goods trading platform and community. This article analyzes Idle Fish’s operational strategy, including cooperation with Taobao and Alibaba, multi-functional services, platform page design and intelligent operations. A SWOT analysis was conducted on the platform’s strengths, opportunities, weaknesses, and threats. Finally, development strategies are proposed, including strengthening transaction security, improving community operation quality, encouraging celebrity and influencer participation, improving service quality, optimizing mobile application experience, collecting and analyzing user data, exploring partnerships, and maintaining quality control processes. Through these strategies, Idle Fish can fully realize its potential in the second-hand e-commerce market and meet evolving consumer needs such as sustainability, affordability and unique shopping experiences.

A Discussion of TikTok’s Disregard of UK and US Child Data Policies

Children, being among the most vulnerable, require the most protection. While laws have been enacted to protect their physical well-being, many online companies have fallen short of ensuring proper usage of children's online data. The United Kingdom and the United States have taken an offensive stance on the matter by establishing their privacy policies aimed at protecting children online. The popular app TikTok has been flagged for security risks involving inadequate parental consent, unreasonable data collection, and data transference. This presentation will discuss US and UK child data privacy regulations and how companies can learn from TikTok’s failure to comply. The first privacy concerns of TikTok surfaced in 2020, resulting in several nations discussing restrictions on the app and banning it as a whole. More recently, TikTok has been facing a multimillion-dollar lawsuit in the UK regarding the breach of data protection regulations for children. These are not the only allegations the parent company, ByteDance, has faced concerning safeguarding children and their data. TikTok’s predecessor, Musical.ly, also owned by ByteDance, was sued in 2018 for violating the U.S. Children’s Online Privacy Protection Act (COPPA). With more child users than ever, social media companies like TikTok are obligated to create a safe online environment.

К ВОПРОСУ ОБ ЭФФЕКТИВНОСТИ ИСПОЛЬЗОВАНИЯ ОНЛАЙН-ПРИЛОЖЕНИЙ ДЛЯ ИЗУЧЕНИЯ РУССКОГО ЯЗЫКА КАК ИНОСТРАННОГО НА НАЧАЛЬНОМ ЭТАПЕ (НА ПРИМЕРЕ DUOLINGO)

One of the trends in modern education is its focus on the widespread use of online resources. Often, users of online educational applications prefer to study on their own instead of going to classes at universities or specialized educational institutions. This process raises the question about the quality of such education. When searching for an answer to this question, special attention should be paid to applications for learning foreign languages, since learning another language is a complex process that requires the correct organization of educational material. The paper examines the effectiveness of using online applications in the process of learning Russian by foreign speakers at the initial stage of education. The study was conducted using the language learning app Duolingo due to the fact that it is one of the most popular apps of its type. During the study, an analysis of the thematic content of the Duolingo application was carried out in comparison with the elementary lexical minimum for the Russian language, as well as the State Standard for the Russian language at level A1. The study of the potential of the Duolingo application involved conducting a survey of students of Peoples' Friendship University of Russia named after Patrice Lumumba who are studying Russian at the initial stage. Analysis of the survey results and thematic content of the application in comparison with leading educational publications allows the authors to conclude that this application cannot act as the only resource for learning the Russian language but can be integrated into the educational process. In this regard, the work proposes conditions for integrating the application into the educational process.

Tiktok As an Alternative Learning Media for the Z Generation: Phenomenology Research

The phenomenological method is being used in this qualitative research. Students at Universitas Negeri Manado used the TikTok program frequently while learning chemistry, according to data analysis employing paradigm interpretation. From the first to the third year, fifteen UNIMA Chemistry students participated in the study and served as informants to collect data. The research's primary and secondary data were gathered through in-person interviews and direct observation. The believability, transferability, dependability, and confirmability of the data were examined for quality. Data reduction, data display, and the process of drawing conclusions/verifying those conclusions were all steps in the processing of the data that Miles and Hubernan pioneered. Researchers came to the following conclusions based on their research: 1) Since the outbreak, TikTok has quickly surpassed YouTube, WhatsApp, and Zoom Meeting in terms of usage, becoming the most popular app; 2) TikTok content, which was previously only for entertainment, has migrated to learning media, including chemistry learning; 3) chemistry content in the form of videos based on experiments or practicums is able to hold students' attention; and 5) the TikTok application can be used as a media alternative in learning that is suitable for Gen Z students.

Surveillance Capitalism in Mental Health: When Good Apps Go Rogue (and What Can Be Done about It)

Research shows that a large proportion of the world’s population has experience with mental health difficulties, and reliable as well as scalable care is urgently needed. Digital mental health seems to be an obvious solution to provide the better delivery of care but also the delivery of better care. With an imagined future of real-time information sharing, improved diagnosis and monitoring of mental health conditions, and remote care, supported by advances in artificial intelligence, many tech companies have emerged over the last three decades to plug the treatment gap and provide services. The evidence base seems compelling: some online treatments have the capability to treat individuals quite successfully. However, the introduction, utilisation, and expansion of digital mental health technologies have not always focused on public health only. Using a surveillance capitalism perspective, this paper approaches the democratisation–privatisation dichotomy in digital mental health with a critical lens. In particular, the paper details how (commercially valuable) mental health data are extracted, “shared”, and claimed as an asset by big tech companies. Reviewing the terms, conditions, and practices of ten popular mental health apps, the paper polemically argues that mental digital health cannot unlock real value for society—better treatment, good quality care, and efficient delivery—if power, politics, and profits remain in the hands of big tech companies. To conclude, the paper draws attention to contemporary discourses that seek to promote democracy and public value for digital mental health apps, technologies, and solutions.