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Tag Archive | "mobile technology"

MLTW2015: Bring Your Own Device — 8 December 8:15 AM

Moderator: Pat Aldenrfian; Panel: Tiffany Konczey, Combined Arms Research Library; Nancy Faget, Army Research Laboratory Library; Tim Baker, National Defense University Library “Bring Your Own Device,” with Q & A

Summary. Bring Your Own Devices (BYOD) is a popular trend in industry, academia and government.  The increasing popularity of a large number of mobile devices make this a no-brainer. DoD security requirements make its implementation problematic. DoD announced last March that it was going to roll out a BYOD trial, but for a variety of reasons that has not yet happened. Hear how three different organizations within the DoD have wrestled with this problem.

Nancy Faget: eBooks and Apps

[gview file=”http://military.sla.org/wp-content/uploads/2015/12/Presentation6Faget.pptx”]

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Making Sense of Mobile Technology | SAGE Open

Mobile technologies have facilitated a radical shift in work and private life. In this article, we seek to better understand how individual mobile technology users have made sense of these changes and adapted to them. We have used narrative enquiry and sensemaking to collect and analyze the data. The findings show that mobile technology use blurs the boundaries between work and private life, making traditional time and place distinctions less relevant. Furthermore, work and private life can be integrated in ways that may be either competitive or complementary. We also observed an effect rarely discussed in the literature—the way personal and professional aspirations affect how work and private life are integrated. Implications include the need for researchers and organizations to understand the wider consequences that arise from the integration of work and private life roles.

Full Text: Making Sense of Mobile Technology | SAGE Open

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I am a Smartphone and I Know My User is Driving

I am a Smartphone and I Know My User is Driving
Source: Microsoft Research

We intend to develop a smartphone app that can distinguish whether its user is a driver or a passenger in an automobile. While the core problem can be solved relatively easily with special installations in new high-end vehicles (e.g., NFC), constraints of backward compatibility makes the problem far more challenging. We design a Driver Detection System (DDS) that relies entirely on smartphone sensors, and is thereby compatible with all automobiles. Our approach harnesses smartphone sensors to recognize micro-activities in humans, that in turn discriminate between the driver and the passenger. We demonstrate an early prototype of this system on Android NexusS and Apple iPhones. Reported results show greater than 85% accuracy across 6 users in 2 different cars.

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