Multi-touch technology, used in consumer products such as the iPad, enables users to register multiple points of contact at the same time; this enables a user to interact with a touch screen interface using several fingers on one hand, or even both hands. This affords interface designers the opportunity to define gestural interactions based on what is most natural for users and not on merely what can be recognised and processed by technology. In light of this, the research question that this study aimed to address was: what is the most intuitive user-defined gesture set for conducting an informational search on a multi-touch tablet web browser? In addressing this research question, the aim of this study was to create a user-defined gesture set for conducting an informational search on a multi-touch tablet web browser, based on gestures elicited from participants with little or no experience with touch screen devices. It was necessary to use these participants as users who are familiar with touch screen interfaces would draw upon the gestures they have learnt or used before, and would therefore be biased in the gestures they proposed. Inexperienced or naïve users would simply provide gestures that came naturally to them, providing a more accurate reflection of what a typical, unbiased user would do. A set of hypotheses, relating to the gestures that would be elicited from this participant group, were drawn up and investigated. These investigations yielded the following key findings: • The use of two-handed gestures should be limited. • If two-handed gestures are developed for a specific function, an alternative one-handed gesture should be made available. • It is not be advisable to create completely novel gestures for tablet web browsing that do not correspond to any of the ways in which desktop web browsing is performed. • Should novel gestures be developed for tablet web browsing, gestures that are desktop computing adaptations, including those that require menu access, should be made available as alternatives to users. • Tasks should be designed is such a way that they may be completed with a variety of gestures. • Complex tasks should be designed in such a way that they may be achieved through varying combinations of gestures. These findings may assist interface designers and developers in the gestures they design or developer for their applications. In addition to these findings, the study presents a coherent, user-defined gesture set that may be used in practice by designers or developers.

User tracking and profiling is a growing threat to online privacy. Whilst Internet users can choose to withhold their personal information, their Internet usage can still be traced back to a unique IP address. This study considers anonymity as a strong and useful form of privacy protection. More specifically, we examine how current anonymity solutions suffer from a number of deficiencies: they are not commonly used, are vulnerable to a host of attacks or are impractical or too cumbersome for daily use. Most anonymity solutions are centralised or partially centralised and require trust in the operators. It is additionally noted how current solutions fail to promote anonymity for common Web activities such as performing online search queries and general day-to-day Web browsing. A primary objective of this research is to develop an anonymising Web browsing protocol which aims to be (1) fully distributed, (2) offer adequate levels of anonymity and (3) enable users to browse the Internet anonymously without overly complex mixing techniques. Our research has led to an anonymising protocol called Polar. Polar is a peer-to-peer network which relays Web requests amongst peers before forwarding it to a Web server, thus protecting the requester's identity. This dissertation presents the Polar model. Design choices and enhancements to the model are discussed. The author's implementation of Polar is also presented demonstrating that an implementation of Polar is feasible. / Dissertation (MSc (Computer Science))--University of Pretoria, 2007. / Computer Science / unrestricted

With the rapid advancement of mobile devices, people have become more attached to them than ever. This rapid growth combined with millions of applications (apps) make smartphones a favourite means of communication among users. In general, the available contents on smartphones, apps and the web, come into two versions: (i) free contents that are monetized via advertisements (ads), and (ii) paid ones that are monetized by user subscription fees. However, the resources (energy, bandwidth, processing power) on-board are limited, and the existence of ads in either websites or free apps can adversely impact these resources. These issues brought the need for good understanding of the mobile advertising eco-system and how such limited resources can be efficiently used. This thesis focuses on mobile web browsing. Surfing web-pages on smatphones is one of the most commonly used task among smartphone users. However, web-page complexity is increasing, especially when designed for desktop computers. On one hand, the existence of ads in web-pages is essential for publishers' monetization strategy. On the other hand, their existence in webpages leads to even higher complexity of the webpages. This complexity in the smartphone environment, where the battery and bandwidth resources are limited, is reflected in longer loading time, more energy consumed, and more bytes transferred. With this view, quantifying the energy consumption due to web ads in smartphones is essential for publishers to optimize their webpages, and for system designers to develop an energy-aware applications (browsers) and protocols. Apart from their energy impact, ads consume network bandwidth as well. Therefore, quantifying the bandwidth consumption due to downloading web ads is crucial to creating more energy and bandwidth aware applications. This thesis first classifies web content into: (i) core information, and (ii) forced ``unwanted" information, namely ads. Then, describes an approach that enables the separation of web content in a number of a websites. Having done so, the energy cost due to downloading, rendering, and displaying web ads over Wi-Fi and 3G networks is evaluated. That is, how much energy web ads contribute to the total consumed energy when a user accesses the web. Furthermore, the bandwidth consumed by web ads in a number of well-known websites is also evaluated. Motivated by our findings about ads' impact on the energy and bandwidth, the thesis proposes and implements a novel web-browsing technique that adapts the webpages delivered to smartphones, based on a smartphone's current battery level and the network type. Webpages are adapted by controlling the amount of ads to be displayed. Validation tests confirm that the system, in some cases, can extend smartphone battery life by up to ~ 30\% and save wireless bandwidth up to ~ 44\%.

Measurement collection is a primary step towards analyzing and optimizing performance of a telecommunication service. With an Mobile Broadband (MBB) network, the measurement process has not only to track the network's Quality of Service (QoS) features but also to asses a user's perspective about its service performance. The later requirement leads to "user-side measurements" which assist in discovery of performance issues that makes a user of a service unsatisfied and finally switch to another network. User-side measurements also serve as first-hand survey of the problem domain. In this thesis, we exhibit the potential in the measurements collected at network edge by considering two well-known approaches namely crowdsourced and distributed testbed-based measurements. Primary focus is on exploiting crowdsourced measurements while dealing with the challenges associated with it. These challenges consist of differences in sampling densities at different parts of the region, skewed and non-uniform measurement layouts, inaccuracy in sampling locations, differences in RSS readings due to device-diversity and other non-ideal measurement sampling characteristics. In presence of heterogeneous characteristics of the user-side measurements we propose how to accurately detect mobile coverage holes, to devise sample selection process so to generate a reliable radio map with reduced sample cost, and to identify cellular infrastructure at places where the information is not public. Finally, the thesis unveils potential of a distributed measurement test-bed in retrieving performance features from domains including user's context, service content and network features, and understanding impact from these features upon the MBB service at the application layer. By taking web-browsing as a case study, it further presents an objective web-browsing Quality of Experience (QoE) model.

This research project is focused on understanding the current needs of blind users in the context of browsing on the internet. The research methods used have an inclusive design approach. The outcome was intended for both for the blind and normally sighted.  At the broadest level, this project is about reducing cognitive effort in human to computer interaction. At the next level it is about browsing the internet. Everyone using a computer and surfing the web at some point goes through the mental task of comparing between alternative choices. Examining today’s obstacles for the blind, what aspects of the experience could we improve? Could we design a better cognitive browsing experience for all users focusing on nonvisual aspects of the user experience? What would it look like, how would it behave and what characteristics would it carry?  The Semantic Scroller is a concept that could be implemented today but actually presupposes the use of some new HTML specifications specifically the adoption of “open” semantic tags. Unlike existing semantic tags like <nav> and <article> which are too context specific, an open framework would enable coders include contextual semantic descriptions where ever necessary.

Thesis (M.A.I.S.)--Oregon State University, 2010. / Printout. Includes bibliographical references (leaves 51-56). Also available on the World Wide Web.

The purpose of this paper is to explore web use and web navigation behavior. This paper presents findings from qualitative research based on interviews and diarie studies. The basis of this study is Eli Parisers work about “the filter bubble”. As personalization systems shape our experience of the web, based on who we are, our bubble of knowledge and information becomes smaller. But it’s not only how technology works to show us a narrow part of reality. Our own choices about websites, content and the activities on the web, lead us into another type of bubble. A behavior bubble. A bubble where all the content we consume is interesting. The conclusion of this paper is that narrow web navigation behavior can be observed among all subjects studied irrespective of age and devices used, whereas monotonous web navigation behavior only can be identified among individuals using a smartphone for web browsing.

Web browsing has been one of the most popular activities on the internet. The increasing importance of the Web in everyday life calls for device-independent access to existing web sites. Although, there is full Web access available on mobile phones the user experience is often poor when compared to the Web user experience on Personal Computer (PC). Therfore, it is important for the Internet service provider to find the indications of user dissatisfaction from the network. While using the mobile Web, user can normally abort the transfer by pressing the stop or reset buttons in the browsers, leaving the page being downloaded by following a bookmark or can close the connection. Such events can be observed through the TCP reset (RST) flag from traffic on network level. In this thesis we have investigated the possible causes of TCP RST flags mobile Web session is interrupted. We further analyze up to what extent we can rely on TCP RST flags for being an indication of user dissatisfaction in mobile web browsing. Therefore, an experiment testbed is developed to capture the TCP packet traces during controlled active tests. Results are gathered using mobile devices with four popular mobile operating systems (OS). The trace files captured are analyzed using perl script to dicern the flow and focusing on the TCP RST flag during the flow. Further, TSTAT tool is used to validate our trace files. / 0760-882089

This Master's thesis describes design and implementation of advanced web crawler. This crawler can be configured by user and is designed for web browsing according to specified parameters. Can acquire and evaluate content of web pages. Its configuration is performed by creating projects which are consisting of different types of steps. User can create simple action like downloading page, form submission, etc. or can create more complex and larger projects.

Consumers face several challenges using the Internet to fill health-related needs. (1) In many cases, they face a language gap as they look for information that is written in unfamiliar technical language. (2) Medical information in social media is of variable quality and may be appealing even when it is dangerous. (3) Discussion groups provide valuable social support for necessary lifestyle changes, but are variable in their levels of activity. (4) Finding less popular groups is tedious. We present solutions to these challenges. We use a novel adaptation of topic models to address the language gap. Conventional topic models discover a set of unrelated topics that together explain the combinations of words in a collection of documents. We add additional structure that provides relationships between topics corresponding to relationships between consumer and technical medical topics. This allows us to support search for technical information using informal consumer medical questions. We also analyze social media related to eating disorders. A third of these videos promote eating disorders and consumers are twice as engaged by these dangerous videos. We study the interactions of two communities in a photo-sharing site. There, a community that encourages recovery from eating disorders interacts with the pro-eating disorder community in an attempt to persuade them, but we found that this attempt entrenches the pro-eating disorder community more firmly in its position. We study the process by which consumers participate in discussion groups in an online diabetes community. We develop novel event history analysis techniques to identify the characteristics of groups in a diabetes community that are correlated with consumer activity. This analysis reveals that uniformly advertise the popular groups to all consumers impairs the diversity of the groups and limits their value to the community. To help consumers find interesting discussion groups, we develop a system for personalized recommendation for social connections. We extend matrix factorization techniques that are effective for product recommendation so that they become suitable for implicit power-law-distributed social ratings. We identify the best approaches for recommendation of a variety of social connections involving consumers, discussion groups and discussions.