Tablets Vs Smartphones: Differences In M-Commerce Application Design

Since the world is moving to the era of mobile Internet computing, the business conducting over the mobile devices became popular. Not only smartphones, but tablet computers also present a variety of new opportunities for business with their technological ability. The research question of this paper is “What are the differences in M-Commerce application between tablet computers and smartphones?”. Three comparison case studies of M-Commerce applications show the differences in the design for tablets and smartphones. The paper contains the introduction, the literature review, the information of current devices in market, the comparisons of M-Commerce applications, the discussions, and conclusions

Using Machine Learning to Optimize Web Interactions on Heterogeneous Mobile Systems

The web has become a ubiquitous application development platform for mobile systems. Yet, web access on mobile devices remains an energy-hungry activity. Prior work in the field mainly focuses on the initial page loading stage, but fails to exploit the opportunities for energy-efficiency optimization while the user is interacting with a loaded page. This paper presents a novel approach for performing energy optimization for interactive mobile web browsing. At the heart of our approach is a set of machine learning models, which estimate at runtime the frames per second for a given user interaction input by running the computation-intensive web render engine on a specific processor core under a given clock speed. We use the learned predictive models as a utility function to quickly search for the optimal processor setting to carefully trade responsive time for reduced energy consumption. We integrate our techniques to the open-source Chromium browser and apply it to two representative mobile user events: scrolling and pinching (i.e., zoom in and out). We evaluate the developed system on the landing pages of the top-100 hottest websites and two big.LITTLE heterogeneous mobile platforms. Our extensive experiments show that the proposed approach reduces the system-wide energy consumption by over 36% on average and up to 70%. This translates to an over 17% improvement on energy-efficiency over a state-of-the-art event-based web browser scheduler, but with significantly fewer violations on the quality of service

A Consumer Perspective on Mobile Market Evolution

In 2007 (Mazzoni, Castaldi, Addeo) we performed a wide research on consumer behavior in the Italian mobile communication market. Using a multidimensional segmentation approach, we identified three consumer clusters according to lifestyles, mobile phone use motivations and product attributes. One of the most interesting finding was that two clusters out of three were characterized by a minor propensity to an integrated and service-oriented use of mobile communication. In other words, some consumers conceived mobile phone not only as a simple communication devices, but more like a technologically advanced multipurpose tool. In mid-2000s Italian mobile companies and operators tried to push mobile communication market toward an integrated use, mostly relying on videophone communication. Although videophone communication had a very low impact on mobile market, integrated and service oriented use of cellular phones are becoming more and more the pillars of mobile communication market. Considering that the mobile communication market changes quickly under the spur of many technological innovations, new challenges or opportunities stem from the exploitation of innovations in mobile devices. The service economy (Fuchs, 1968; Gustafsson & Johnson, 2003), that implies the shift of manufacturers from goods selling to services delivering, is one of those challenges for mobile industry. Mainly since 2007, with the iPhone introduction, the “servitization” (Vandermerwe & Rada, 1988) has been an extending trend (Neely, 2007) among the mobile phones suppliers as they try to mix in their offerings either good and service, integrating phone devices with increasing software and applications. In a supplier perspective, this shift has an important impact on economical aspects, in term of cash-flows growth, or additional revenues - those streaming from selling more complementary services for products. Nevertheless, servitization also brings implications in the operation management, in the innovation strategy and compels providers to revise their business model also. But what is happening in the consumer perspective? A mass-market product like the mobile phone becomes extremely customizable by the complementary services that can be integrated into it: software updating allows customers to entail the mobile phone functionality on their unique needs. Analyzing the consumer perspective through the adoption of a behavior model above outlined (Mazzoni, 1995) and already applied and tested into the exploration of mobile market (Mazzoni, Castaldi, Addeo, 2007), this chapter aims - through a literature review - to understand how changes in the offerings can affect the three dimensions: lifestyles, use motivations and product attributes. Particularly, if shifts in product attributes are clear and evident, the chapter aims to consider the impact in the way in which customer’s expectations, needs and use of mobile phones are transforming

An OLX Motors case: comprehend user behaviour to shape recommendations

Internship Report presented as the partial requirement for obtaining a Master's degree in Data Science and Advanced Analytics, specialization in Business AnalyticsThe analysis of online user behaviour can shape the way a business like OLX Motors recommends cars to potential buyers. This paper focuses on different ways of getting insights from the searches and the interactions of the users on the websites. Understanding first how users select filters and how long their searches are, led to a first AB test to check whether suggesting filters to select could or not help the user experience. The results showed that looking at different models in a search could bring users closer to their car of interest. Intuitively, recommending car models would eventually enhance the user's journey. This evolved into utilizing word2vec, a widely used algorithm to explore relationships between words in sentences, to draw similarities between similar cars. The data used is the sequence of users' search sessions and not the technical characteristics of the cars. With this a clustering technique was performed to individualize groups of similar vehicles

Customisation of web content for desktop and mobile devices

Accessing websites from mobile devices has been gaining popularity but may not give the same results and experiences as accessing them from a personal computer. Growth in the use of mobile devices is accelerating and therefore issues with accessing the web from them are becoming increasingly important. To investigate problems users encountered while accessing websites from mobile devices we conducted a series of surveys and conducted a user trial. Results showed that on mobile devices, users get pages with different structure, terminology, content, and location of content than those on the desktops. Each of these differences negatively impact on the user experience for the site. To address these issues, we present a server-side adaptation approach to prioritising adaptive pages to different devices through a prioritisation system. The prioritisation approach allows users to prioritise page items for different devices. The prioritisation engine reorders, shows, and removes items based on its priority set by users or developers. With this approach, the overall web page’s structure (the parent-child relationships) is preserved and the same terminology, content, and similar location of content are delivered to all devices. To evaluate the prioritisation system, we conducted user trials in a controlled lab-experiment evaluating the usability and user experience of adaptive pages developed for desktops and prioritised for mobile devices. We compared adaptive pages of a mock Facebook to the actual Facebook version. We also conducted a performance test analysing the performance of the prioritisation engine. Results demonstrate the usefulness of the Prioritisation engine and the adaptive pages. Participants preferred the Prioritised version and their performance and browsing experience on the Prioritised version is better than that on the Facebook mobile version. Results show that adaptive pages and prioritisation provides a consistent web experience across different devices

Design implications for mobile user interfaces of Internet services

Internet services are becoming essential in people's daily lives. In addition to accessing them on a PC, Internet services offer functionality and content that are also relevant for mobile use. At the same time, mobile devices of today are technologically sophisticated enabling online access anytime, anywhere. The remaining challenge is to utilize the capabilities of a mobile device in a way that offers people a positive user experience when they are using Internet services on the go. This Thesis belongs to the area of Human-Computer Interaction focusing on the use of Internet services on a mobile device. It considers the limitations of a mobile device in terms of user interface design and its goal is to define design implications that assist in designing mobile user interfaces for Internet services. The design implications mainly aim to give guidance on how to design a mobile Web browser, but they are completed with research findings on designing a mobile client application for an Internet service. The research was implemented through user needs studies, user interface design, and user evaluations. The research studies focused on two approaches that support the use of Internet services on mobile devices: the Minimap Web browser and the Image Exchange mobile client application presented these two approaches. The resulting design implications suggest that the following aspects should be considered when designing mobile user interfaces for Internet services: content optimization, utilization of desktop and mobile usage patterns, full exploitation of device capabilities, compensation for device resources, and content updating. The possible differences in characteristics of a mobile Web browser and a mobile client application are also examined. Finally, this Thesis discusses the latest developments that enable alternative ways to support Internet services on mobile devices in the future

THINC: A Remote Display Architecture for Thin-Client Computing

Rapid improvements in network bandwidth, cost, and ubiquity combined with the security hazards and high total cost of ownership of personal computers have created a growing market for thin-client computing. We introduce THINC, a remote display system architecture for high-performance thin-client computing in both LAN and WAN environments. THINC transparently maps high-level application display calls to a few simple low-level commands which can be implemented easily and efficiently. THINC introduces a number of novel latency-sensitive optimization techniques, including offscreen drawing awareness, command buffering and scheduling, non-blocking display operation, native video support, and server-side screen scaling. We have implemented THINC in an XFree86/Linux environment and compared its performance with other popular approaches, including Citrix MetaFrame, Microsoft Terminal Services, SunRay, VNC, and X. Our experimental results on web and video applications demonstrate that THINC can be as much as five times faster than traditional thin-client systems in high latency network environments and is capable of playing full-screen video at full frame rate

Enhancing Information Retrieval Relevance Using Touch Dynamics on Search Engine

Using Touch Dynamics on Search Engine is an attempt to establish the possibilities of using user touch behavior which is monitored and several unique features are extracted. The unique features are used for identifying users and their traits according to the touch dynamics. The results can be used for defining automatic user unique searching behavior. Touch dynamics has been discussed in several studies in the context of user authentication and biometric identification for security purposes. This study establishes the possibility of integrating touch dynamics results for identifying user searching preferences and interests. This study investigates a technique of combining personalized search with touch dynamics results information as an approach for determining user preferences, interest measurement and context. Keywords: Personalized Search, Information Retrieval, Touch Dynamics, Search Engin