Facebook Credits Revenue Numbers

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The writing is on the wall when it comes to what Facebook's mobile monetisation strategy is, we'll let the numbers do the talking.

Technology

In this paper we describe the design and implementation of a new versatile, scalable and cost-effective sensate surface. The system is based on a new conductive inkjet technology, which allows capacitive sensor electrodes and different types of RF antennas to be cheaply printed onto a roll of flexible substrate that may be many meters long. By deploying this surface on (or under) a floor it is possible to detect the presence and whereabouts of users through both passive and active capacitive coupling schemes. We have also incorporated GSM and NFC electromagnetic radiation sensing and piezoelectric pressure and vibration detection. We report on a number of experiments which evaluate sensing performance based on a 2.5m x 0.3m hardware test-bed. We describe some potential applications for this technology and highlight a number of improvements we have in mind.

Accessing smartphones - Mobile for all (Universal Crit) Museums and The Web

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Mobile technologies are radically changing the lives of many individuals with disabilities while concurrently becoming ubiquitous in museums and cultural attractions. Smartphones and screen based mobile technologies have the potential to both positively and negatively impact the experiences of individuals with access needs. At the heart of this issue is 1, considering how smartphones are used by individuals with access needs, 2, determining which features of commercial devices and apps are working correctly, and 3, documenting what is already being applied to mobile experiences in museums. This 'how to' talk is informed by the industry trends outlined in recent mobile surveys and conference discussions, including Museums and Mobile surveys 2009-2013, TechatLead and the Access issue of Curator Magazine, July 2012. For instance, the 2013 Museums and Mobile results identified 70% of the 551 global surveyed institutions as providing a smartphone solution for their general visitors (http://www.museums-mobile.org/survey/). The speakers will discuss these results as well as impart practical tips and outline challenges for using smartphone technology to shape and enrich the experiences of access audiences visiting cultural institutions. Speakers from Art Beyond Sight, Seattle Art Museum, Antenna International and CogApp will reference their own projects and experiences, consider case studies and developments in the commercial and research communities, and show how institutions can serve access audiences with smartphones. They will look at how devices and apps impact the experience of access audiences visiting in person as well as learning remotely about cultural institutions and heritage sites. The workshop will be supported by findings from surveys conducted by Antenna International in partnership with access advocacy group Art Beyond Sight.

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The World Wide Web (Web) is changing. The much vaunted Web 2.0 sees once static pages evolving into hybrid applications. Content that was once simple is now becoming increasingly complicated due to the many updating components located throughout the page. The information overload and visual complexity of such components is significant. This increased complexity can produce lower performance and higher levels of stress and frustration which negatively effect the user. In previous work we have shown how galvanic skin response (GSR) measurements, collected in tandem with eye-tracking data, can be used as a method for determining how stressed users become when interacting with content. The results of that study demonstrated that when used appropriately, the presence of Web 2.0 content can reduce GSR measurements and be of benefit to users. In this work, the previous study was repeated with twenty-three older Web users to establish if similar patterns of interaction could be established. The results reveal that while older participants made use of dynamic content, unlike previous participants, they were a non-homogenous group with a large variance in the GSR measurements. We assert that a cause of this is hesitancy and therefore developing techniques to reduce hesitancy will benefit older users when interacting with Web 2.0 content.

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Enormous opportunity exists for government agencies to take advantage of mobile. But tackling this endeavor without a roadmap can be overwhelming. That’s why we put together our Government Mobile Marketing Quick6 LookBook. It answers three questions: - Why government and mobile? - What examples are out there that government marketers can learn from? - What are best practices for government mobile marketing initiatives?

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Perhaps more than any other kind of time series data, financial markets have been scrutinized by countless mathematicians, economists, investors and speculators over hundreds of years. Even in modern times, despite all scientific advances, the effort of predicting future movements of the stock market sometimes still bears resemblance to the ancient alchemistic aspirations of turning base metals into gold. That is not to say that there is no genuine scientific effort in studying financial markets, but distinguishing serious research from charlatanism (or even fraud) remains remarkably difficult.

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The format of this document is essentially "two papers in one," with the first chapter focusing on mostly theoretical considerations (although illustrated with an example), while the second chapter provides a practical, real-world example presented in the form of a tutorial. Methods of Causal Inference: We will first introduce the reader to the idea of formal causal inference using the well-known example of Simpson\’s Paradox. Secondly, we will provide a brief summary of the Neyman-Rubin model, which represents a traditional statistical approach in this context. Once this method is established as a reference point, we will introduce two methods within the Bayesian network paradigm, Pearl\’s Do-Operator, which is based on "Graph Surgery", and a method based on "Likelihood Matching" algorithm (LM). LM allows fixing probability distributions and can be considered as a probabilistic extension of statistical matching. Practical Applications of Direct Effects and Causal Inference: While our treatment of Neyman-Rubin is limited to the first chapter, the two Bayesian network-based methods will be further illustrated as practical applications in the second chapter. Special weight will be given to Likelihood Matching (LM), as it has not yet been documented in literature. We will explain the practical benefits of LM with a real-world business application and discuss observational and causal inference in the context of a marketing mix model. Using the marketing mix model as the principal example, we will go into greater detail regarding the analysis workflow, so the reader can use this example as a step-by-step guide to implementing such a model with BayesiaLab.

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