Browser Tabs Research Articles

Evaluating the quality and reliability of youtube videos on achilles tendinopathy: a comprehensive analysis

Aims: This study evaluates the quality, reliability, and educational value of YouTube videos on Achilles tendinopathy. Methods: A YouTube search using the keyword “Achilles tendinopathy” was conducted on June 20, 2024, using an incognito browser tab. The first 50 English-language videos were analyzed for upload date, duration, views, likes, dislikes, comments, and categorized by source and content. The DISCERN score, Global Quality Score (GQS), and Journal of the American Medical Association (JAMA) score were used to assess video quality and reliability. Statistical analyses included the Shapiro-Wilk test, Kruskal-Wallis test, Mann-Whitney U test, and Spearman test for correlations. Results: Among 50 videos, the average DISCERN score was 42.5, GQS was 3.2, and JAMA score was 2.6, indicating moderate overall quality. Academic physician videos had higher scores. Exercise training videos scored significantly higher in quality assessments. The highest Video Power Index (VPI) was also found in videos by academic physicians. Conclusion: YouTube videos on Achilles tendinopathy provide moderately sufficient information, with higher quality in videos produced by academic physicians and those focusing on exercise training. The study suggests a need for standardized, high-quality educational content on online platforms.

Enhancing the Usability, Visibility, and Responsiveness of an Airline Reservation System: A User-Centered Design Approach

This paper presents the idea, design, and prototype of a flight search and airline booking system based on the perspective of user-centered design. The system is first sketched roughly on paper in the form of a sketched plan and implemented through the proper system by connecting with the rapid API to develop a responsive web application. Booking travel tickets is a hassle and quite stressful because there is a chance that the webpages take time, and several decisions to make, hard to choose a discounted or less expensive flight, and the user will have to put in a lot of effort with many browser tabs may leave open. If a user is looking for the lowest travel options within a range of dates, they need to search a lot of websites looking for better options. As UX designers, it is our responsibility to do some user research and identify the problem areas, then we will recommend some design options based on the research findings. After that, we will create a wireframe and prototype before jumping into web design by collecting all the requirements and analyzing the problems. We will be focusing on UI controls such as location picker, date picker, color contrast, accessibility, and so on. In this paper, we present the design and development of a user-centered flight search and booking system for the airline industry. Our goal is to create a system that would meet the needs and preferences of a diverse set of users. This paper will summarize the design, development, and implementation of an airline reservation system. We have used bubble.io to design the overall system and MYSQL as the database management system for this webpage. Our objective is to upgrade the current website by improving the usability, visibility, and responsiveness of the functions that the user will experience while buying a flight ticket. We have generated and managed the design documentation and a perfect user-based online flight booking system.

How People Integrate News into Their Everyday Routines: A Context-Centered Approach to News Habits

This article uses the notion of habit to explore how news users adopt a new subscription into their everyday routines, and identifies facilitators and obstacles helping or inhibiting this process. Sixty-eight participants received a three-week newspaper trial subscription and were interviewed about their experiences afterward. Facilitators of repeated use were concurrent rewards; embedment into existing routines; and visual reminders. Obstacles were lack of steady routines; strong existing habits; perceived effort; disillusionment; and accessibility. Findings point to the importance of visibility: participants – even those with positive initial experiences – tended to forget their subscription. Visual cues were needed to remind participants to read their subscription: app icons, open browser tabs, social media posts, push notifications, and the print newspaper. Proactive implementation of these cues suggests participants themselves were also aware of their propensity to forget the subscription. Existing (news) habits either helped anchor use of the subscription or blocked it by being automatically cued up by context features. Results also point to a mental hurdle: having to muster up the cognitive and motivational energy to start reading the news. Finally, findings suggest that concurrently experienced rewards may be more conducive to news habit formation than retrospectively experienced rewards.

Interest identification from browser tab titles: A systematic literature review

Modeling and understanding users interests has become an essential part of our daily lives.A variety of business processes and a growing number of companies employ various tools to such an end. The outcomes of these identification strategies are beneficial for both companies and users: the former are more likely to offer services to those customers who really need them, while the latter are more likely to get the service they desire.Several works have been carried out in the area of user interests identification. As a result, it might not be easy for researchers, developers, and users to orient themselves in the field; that is, to find the tools and methods that they most need, to identify ripe areas for further investigations, and to propose the development and adoption of new research plans.In this study, to overcome these potential shortcomings, we performed a systematic literature review on user interests identification. We used as input data browsing tab titles. Our goal here is to offer a service to the readership, which is capable of systematically guiding and reliably orienting researchers, developers, and users in this very vast domain.Our findings demonstrate that the majority of the research carried out in the field gathers data from either social networks (such as Twitter, Instagram and Facebook) or from search engines, leaving open the question of what to do when such data is not available.

Information Support for Travel Agency Performance

<p>Internet technologies create new platforms for the sale of goods and services, however, their emergence arise new issues of how to attract and retain users. Modern Internet users enjoy freedom of choice, they can easily find travel services, or skip them just by closing the browser tab. That is how Customer Relationship Management (CRM) systems were introduced to build and manage efficiently good user relationships. This article discusses the main functions of CRM, according to the classification of The Center for Research on Information Technology and Organizations (the University of California, Irvine, USA) and considers the potentials of CRM systems on the market for large and small companies.</p><p> </p><p>The objective of the paper is to research information technologies that help to attract, retain and work with clients in travel agencies, as well as technologies that open up new platforms for the sale of tourism products, namely online sales. The article also investigates the impact the Internet technologies have on various industries, in particular on the tourism industry.</p>

BLeak

Memory leaks in web applications are pervasive and difficult to debug. Leaks degrade responsiveness by increasing garbage collection costs and can even lead to browser tab crashes. Previous leak detection approaches designed for conventional applications are ineffective in the browser environment. Tracking down leaks currently requires intensive manual effort by web developers, which is often unsuccessful. This paper introduces BLEAK (Browser Leak debugger), the first system for automatically debugging memory leaks in web applications. BLEAK'S algorithms leverage the observation that in modern web applications, users often repeatedly return to the same (approximate) visual state (e.g., the inbox view in Gmail). Sustained growth between round trips is a strong indicator of a memory leak. To use BLEAK, a developer writes a short script (17-73 LOC on our benchmarks) to drive a web application in round trips to the same visual state. BLEAK then automatically generates a list of leaks found along with their root causes, ranked by return on investment. Guided by BLEAK, we identify and fix over 50 memory leaks in popular libraries and apps including Airbnb, AngularJS, Google Analytics, Google Maps SDK, and jQuery. BLEAK'S median precision is 100%; fixing the leaks it identifies reduces heap growth by an average of 94%, saving from 0.5MB to 8MB per round trip.

The ethics of writing history in the traumatic afterlife of lynching

ABSTRACT ‘The Ethics of Writing History in the Traumatic Afterlife of Lynching’ raises questions about the ethical obligations of historians who write about historical traumas like lynching, in particular when the subjects of their histories cannot give consent for their violent and deeply personal stories to be published in books and articles. This essay argues that, though historians are charged with unearthing the ‘truth’ of the past without whitewashing or tempering violence, bigotry, and the like, we also have an obligation to preserve the dignity and privacy of the victims and survivors of historical trauma. Some stories (or certain parts of stories), like those of Black women who were raped as part of a lynching ritual, may be legitimately unspeakable, especially given the real potential to veer into the gratuitous and threaten to re-objectify victims and retraumatize survivors. Expanding upon an essay by Teju Cole, ‘Death in the Browser Tab,’ that critiques the ease with which anyone can access videos of police shootings, this essay proposes strategies for forging ethical relationships with these historical subjects and navigating these difficult writing choices.

The Role of Internet-Specific Justification Beliefs in Source Evaluation and Corroboration During Web Search on an Unsettled Socio-Scientific Issue

This study explored relationships between Internet-specific justification beliefs and source evaluation and corroboration during Web search. Fifty university students completed the Internet-Specific Epistemic Justification Inventory (ISEJ), which targeted beliefs concerning the justification of Internet-based knowledge claims about natural science issues. Two to five days later, they conducted a Web search in order to communicate a justified position regarding an unsettled and unfamiliar socio-scientific issue. Using think-aloud and trace methodologies, participants’ source evaluation and corroboration behaviors were examined. Furthermore, the extent and relevance of their post-search written justifications for their recommendation about the controversial issue were analyzed. Results showed that beliefs in justification by authority positively predicted comments regarding source evaluation, the percentage of visited websites that were listed beyond the first three Google search results, and the likelihood of opening multiple browser tabs. Beliefs in personal justification negatively predicted comments regarding corroboration of information across websites and the number of relevant aspects included in the written justifications. Finally, participants with stronger beliefs in justification by multiple sources gave more extensive justifications for their recommendation and included more relevant aspects in those justifications.

Caught in the Act: Predicting Cheating in Unproctored Knowledge Assessment.

Cheating is a serious threat in unproctored ability assessment, irrespective of countermeasures taken, anticipated consequences (high vs. low stakes), and test modality (paper-pencil vs. computer-based). In the present study, we examined the power of (a) self-report-based indicators (i.e., Honesty-Humility and Overclaiming scales), (b) test data (i.e., performance with extremely difficult items), and (c) para data (i.e., reaction times, switching between browser tabs) to predict participants' cheating behavior. To this end, 315 participants worked on a knowledge test in an unproctored online assessment and subsequently in a proctored lab assessment. We used multiple regression analysis and an extended latent change score model to assess the potential of the different indicators to predict cheating. In summary, test data and para data performed best, while traditional self-report-based indicators were not predictive. We discuss the findings with respect to unproctored testing in general and provide practical advice on cheating detection in online ability assessments.

Browser Security Attacks and Detection Techniques: A Case of Tabnabbing

Phishing is a malicious and deliberate act of sending counterfeit messages or mimicking a webpage. The goal is either to steal sensitive credentials like login information and credit card details or to install malware on a victim’s machine. Browser-based cyber threats have become one of the biggest concerns in networked architectures. The most prolific form of browser attack is tabnabbing which happens in inactive browser tabs. In a tabnabbing attack, a fake page disguises itself as a genuine page to steal data. This paper presents a multi agent based tabnabbing detection technique. The method detects heuristic changes in a webpage when a tabnabbing attack happens and give a warning to the user. Experimental results show that the method performs better when compared with state of the art tabnabbing detection techniques.

Lateral Reading and the Nature of Expertise: Reading Less and Learning More When Evaluating Digital Information

Background/Context The Internet has democratized access to information but in so doing has opened the floodgates to misinformation, fake news, and rank propaganda masquerading as dispassionate analysis. Despite mounting attention to the problem of online misinformation and growing agreement that digital literacy efforts are important, prior research offers few concrete ideas about what skilled evaluations look like. Purpose/Objective/Research Question/Focus of Study Our purpose in this study was to seek out those who are skilled in online evaluations in order to understand how their strategies and approaches to evaluating digital content might inform educational efforts. We sampled 45 experienced users of the Internet: 10 Ph.D. historians, 10 professional fact checkers, and 25 Stanford University undergraduates. Analysis focused on the strategies participants used to evaluate online information and arrive at judgments of credibility. Research Design In this expert/novice study, participants thought aloud as they evaluated live websites and searched for information on social and political issues such as bullying, minimum wage, and teacher tenure. We analyze and present findings from three of the tasks participants completed. Findings/Results Historians and students often fell victim to easily manipulated features of websites, such as official-looking logos and domain names. They read vertically, staying within a website to evaluate its reliability. In contrast, fact checkers read laterally, leaving a site after a quick scan and opening up new browser tabs in order to judge the credibility of the original site. Compared to the other groups, fact checkers arrived at more warranted conclusions in a fraction of the time. Conclusions/Recommendations We draw on insights gleaned from the fact checkers’ practices to examine current curricular approaches to teaching web credibility as well as to suggest alternatives.

Putting in all the stops: execution control for JavaScript

Scores of compilers produce JavaScript, enabling programmers to use many languages on the Web, reuse existing code, and even use Web IDEs. Unfortunately, most compilers inherit the browser's compromised execution model, so long-running programs freeze the browser tab, infinite loops crash IDEs, and so on. The few compilers that avoid these problems suffer poor performance and are difficult to engineer. This paper presents Stopify, a source-to-source compiler that extends JavaScript with debugging abstractions and blocking operations, and easily integrates with existing compilers. We apply Stopify to ten programming languages and develop a Web IDE that supports stopping, single-stepping, breakpointing, and long-running computations. For nine languages, Stopify requires no or trivial compiler changes. For eight, our IDE is the first that provides these features. Two of our subject languages have compilers with similar features. Stopify's performance is competitive with these compilers and it makes them dramatically simpler. Stopify's abstractions rely on first-class continuations, which it provides by compiling JavaScript to JavaScript. We also identify sub-languages of JavaScript that compilers implicitly use, and exploit these to improve performance. Finally, Stopify needs to repeatedly interrupt and resume program execution. We use a sampling-based technique to estimate program speed that outperforms other systems.

BLeak: automatically debugging memory leaks in web applications

Despite the presence of garbage collection in managed languages like JavaScript, memory leaks remain a serious problem. In the context of web applications, these leaks are especially pervasive and difficult to debug. Web application memory leaks can take many forms, including failing to dispose of unneeded event listeners, repeatedly injecting iframes and CSS files, and failing to call cleanup routines in third-party libraries. Leaks degrade responsiveness by increasing GC frequency and overhead, and can even lead to browser tab crashes by exhausting available memory. Because previous leak detection approaches designed for conventional C, C++ or Java applications are ineffective in the browser environment, tracking down leaks currently requires intensive manual effort by web developers. This paper introduces BLeak (Browser Leak debugger), the first system for automatically debugging memory leaks in web applications. BLeak's algorithms leverage the observation that in modern web applications, users often repeatedly return to the same (approximate) visual state (e.g., the inbox view in Gmail). Sustained growth between round trips is a strong indicator of a memory leak. To use BLeak, a developer writes a short script (17-73 LOC on our benchmarks) to drive a web application in round trips to the same visual state. BLeak then automatically generates a list of leaks found along with their root causes, ranked by return on investment. Guided by BLeak, we identify and fix over 50 memory leaks in popular libraries and apps including Airbnb, AngularJS, Google Analytics, Google Maps SDK, and jQuery. BLeak's median precision is 100%; fixing the leaks it identifies reduces heap growth by an average of 94%, saving from 0.5 MB to 8 MB per round trip. We believe BLeak's approach to be broadly applicable beyond web applications, including to GUI applications on desktop and mobile platforms.

When frequent media multitaskers perform worse and when they do not: The role of self-regulation ability and strategy manipulation

Ophir, Nass and Wagner (2009) showed that as multitasking frequency increases, multitasking performance decreases. Other studies, however, have not replicated this effect (e.g., Minear, Brasher, McCurdy, Lewis & Younggren, 2013). In this paper, we argue that the association between frequent media multitasking and poor multitasking performance depends on self-regulation ability and external factors, such as manipulation of the task execution strategy (sequential vs. free switching). In Study 1, we determined participants’ media multitasking frequency and measured their self-regulation ability. Then, participants performed a multiple media task in which they could freely switch between browser tabs. The results showed that high media multitasking levels were associated with more switches between tabs but only for participants with low (but not high) self-regulation ability. No differences in performance were observed. In Study 2, instead of measuring self-regulation ability, we manipulated task execution strategy (as an external form of regulation). As predicted, media multitasking frequency and performance on multiple tasks (overall score) were negatively related only in the free switching condition and not in the sequential condition. The results elucidate the relationship between media multitasking frequency and multitasking performance by showing its boundary conditions, and they help explain contradictory findings in the media multitasking literature.

Intelligent Agents in Securing Internet

Internet phishing has become one of the most prevalent problems of online security. Phishing takes advantage of the user’s trust and use social engineering techniques to deceive them. As browsers have become a major platform for attacks to take place, a greater focus should be given for securing web services in this perspective. This paper discusses a framework to resist phishing attacks utilizing the power of intelligent agents. The main focus is on a browser based attack called tabnabbing which executes in inactive browser tabs. The proposed method uses agents in three levels to monitor browser tabs, at regular intervals and warn the user at the earliest. This approach excellently protects user against Tabnabbing, URL obfuscations and malicious links. Results show that the proposed method outperforms the state of the art phishing detection methods and achieves an accuracy of 97.3%.

Automated testing of graphics shader compilers

We present an automated technique for finding defects in compilers for graphics shading languages. key challenge in compiler testing is the lack of an oracle that classifies an output as correct or incorrect; this is particularly pertinent in graphics shader compilers where the output is a rendered image that is typically under-specified. Our method builds on recent successful techniques for compiler validation based on metamorphic testing, and leverages existing high-value graphics shaders to create sets of transformed shaders that should be semantically equivalent. Rendering mismatches are then indicative of shader compilation bugs. Deviant shaders are automatically minimized to identify, in each case, a minimal change to an original high-value shader that induces a shader compiler bug. We have implemented the approach as a tool, GLFuzz, targeting the OpenGL shading language, GLSL. Our experiments over a set of 17 GPU and driver configurations, spanning the main 7 GPU designers, have led to us finding and reporting more than 60 distinct bugs, covering all tested configurations. As well as defective rendering, these issues identify security-critical vulnerabilities that affect WebGL, including a significant remote information leak security bug where a malicious web page can capture the contents of other browser tabs, and a bug whereby visiting a malicious web page can lead to a ``blue screen of death'' under Windows 10. Our findings show that shader compiler defects are prevalent, and that metamorphic testing provides an effective means for detecting them automatically.

Lateral Reading: Reading Less and Learning More When Evaluating Digital Information

The Internet has democratized access to information but in so doing has opened the floodgates to misinformation, fake news, and rank propaganda masquerading as dispassionate analysis. To investigate how people determine the credibility of digital information, we sampled 45 individuals: 10 Ph.D. historians, 10 professional fact checkers, and 25 Stanford University undergraduates. We observed them as they evaluated live websites and searched for information on social and political issues. Historians and students often fell victim to easily manipulated features of websites, such as official-looking logos and domain names. They read vertically, staying within a website to evaluate its reliability. In contrast, fact checkers read laterally, leaving a site after a quick scan and opening up new browser tabs in order to judge the credibility of the original site. Compared to the other groups, fact checkers arrived at more warranted conclusions in a fraction of the time. We contrast insights gleaned from the fact checkers’ practices with common approaches to teaching web credibility.

Gaia Data Release 1

Context: The first Gaia data release (DR1) delivered a catalogue of astrometry and photometry for over a billion astronomical sources. Within the panoply of methods used for data exploration, visualisation is often the starting point and even the guiding reference for scientific thought. However, this is a volume of data that cannot be efficiently explored using traditional tools, techniques, and habits. Aims: We aim to provide a global visual exploration service for the Gaia archive, something that is not possible out of the box for most people. The service has two main goals. The first is to provide a software platform for interactive visual exploration of the archive contents, using common personal computers and mobile devices available to most users. The second aim is to produce intelligible and appealing visual representations of the enormous information content of the archive. Methods: The interactive exploration service follows a client-server design. The server runs close to the data, at the archive, and is responsible for hiding as far as possible the complexity and volume of the Gaia data from the client. This is achieved by serving visual detail on demand. Levels of detail are pre-computed using data aggregation and subsampling techniques. For DR1, the client is a web application that provides an interactive multi-panel visualisation workspace as well as a graphical user interface. Results: The Gaia archive Visualisation Service offers a web-based multi-panel interactive visualisation desktop in a browser tab. It currently provides highly configurable 1D histograms and 2D scatter plots of Gaia DR1 and the Tycho-Gaia Astrometric Solution (TGAS) with linked views. An innovative feature is the creation of ADQL queries from visually defined regions in plots. [abridged]

PageFocus: Using paradata to detect and prevent cheating on online achievement tests.

Cheating threatens the validity of unproctored online achievement tests. To address this problem, we developed PageFocus, a JavaScript that detects when participants abandon test pages by switching to another window or browser tab. In a first study, we aimed at testing whether PageFocus could detect and prevent cheating. We asked 115 lab and 186 online participants to complete a knowledge test comprising items that were difficult to answer but easy to look up on the Internet. Half of the participants were invited to look up the solutions, which significantly increased their test scores. The PageFocus script detected test takers who abandoned the test page with very high sensitivity and specificity, and successfully reduced cheating by generating a popup message that asked participants not to cheat. In a second study, 510 online participants completed a knowledge test comprising items that could easily be looked up and a reasoning task involving matrices that were impossible to look up. In a first group, a performance-related monetary reward was promised to the top scorers; in a second group, participants took part in a lottery that provided performance-unrelated rewards; and in a third group, no incentive was offered. PageFocus revealed that participants cheated more when performance-related incentives were offered. As expected, however, this effect was limited to items that could easily be looked up. We recommend that PageFocus be routinely employed to detect and prevent cheating on online achievement tests.

How Do Users Discover New Tools in Software Development and Beyond?

Software users rely on software tools such as browser tab controls and spell checkers to work effectively and efficiently, but it is difficult for users to be aware of all the tools that might be useful to them. While there are several potential technical solutions to this difficulty, we know little about social solutions, such as one user telling a peer about a tool. To explore these social solutions, we conducted two studies, an interview study and a diary study. The interview study describes a series of interviews with 18 programmers in industry to explore how tool discovery takes place. To broaden our findings to a wider group of software users, we then conducted a diary study of 76 software users in their workplaces. One finding was that social learning of software tools, while sometimes effective, is infrequent; software users appear to discover tools from peers only once every few months. We describe several implications of our findings, such as that discovery from peers can be enhanced by improving software users' ability to communicate openly and concisely about tools.