Tapit Content Delivery Capabilities

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Tapit has the ability to deliver content via NFC in a variety of advanced ways. This allows for a highly personalised experience that helps you connect with consumers in a meaningful way.

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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.

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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.

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

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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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This presentation dives into the practical applications of machine learning within Google's operations, providing a comprehensive overview of how to leverage AI technologies to solve real-world business challenges. Key Points Covered: - Introduction to Machine Learning at Google: Discussion on the role of ML and its evolution in enhancing Google's operational efficiency. - Experience Sharing: Insights into the team's long-term engagement with machine learning projects and the impacts on Google’s operational strategies. - Practical Applications: Real-world examples of ML applications within Google’s daily operations, providing a blueprint to adapt similar strategies. - Challenges and Solutions: Discussion on the challenges faced during the implementation of ML projects and the strategic solutions employed to overcome them. - Future of ML at Google: Insights into future trends in machine learning at Google and how they plan to continue integrating AI into their ecosystem.

Strategic AI Integration in Engineering Teams

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Discover the essentials of performance testing in the IT sector with our concise guide. Learn about various testing types such as load, stress, endurance, spike, scalability, and volume testing. Understand key performance metrics like response time, throughput, CPU and memory utilization, and error rate. Explore top tools like Apache JMeter, LoadRunner, Gatling, Neoload, and BlazeMeter. Gain insights into best practices for defining objectives, creating realistic scenarios, automating tests, and optimizing performance to ensure user satisfaction, reliability, scalability, and cost efficiency. Ideal for developers, QA engineers, and IT professionals. Visit Expeed Software for more information. https://expeed.com/

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