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archive for the ‘ubiquitous computing’ category

PARC Innovations Update (2011 #3)

[e-newsletter archive ~April-May 2011] the context issue: devices and content everywhere

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Ubiquitous Computing: For business

There’s a big gap in publications about technology business. There are technical books that explain the low-level details of technologies, how they work, and how to piece them together. There are vision books that describe how the world will change dramatically and inspire us to think beyond what we see today. Then there are business books that explain how to manage and operate technology companies. While such books provide comprehensive and complete explorations within their genre, they tend to gloss over the important aspects of the other genres. Technical books leave business readers wondering why a capability matters, business books lack technical novelty, and vision books leave us all wondering, “Um…okay. Now what?” With Ubiquitous Computing for Business, I try to bridge these gaps by describing a set of innovation case studies around ubiquitous computing and the business implications thereof...

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Finding inbox meaning in a time of overload

[Editor’s note: PARC contributed this post to Inbox Love (produced by 500 Startups).] Email is, for many knowledge workers, a habitat: the place where they spend most of their working day online. Indeed it can be thought of as knowledge work’s Grand Central Station as far as information distribution and workflow are concerned. A major part of knowledge worker information overload is trying to manage the influx of email content in terms of prioritizing obligations communicated via email and making sure they can always locate the resources they need within all the content in their inbox. In order to handle the demands being placed upon it, email needs to be far better integrated with its users’ content, communication streams, and productivity tools, and come pre-armed with powerful features to support things like content organization, project planning, workflow, content retrieval, analytics and so on...

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CCN now supports Android

Yesterday's network architecture simply does NOT suit today's proliferation of multimedia, data, and mobility in a broadly connected world.

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It’s time to reap the context-aware harvest

It's ironic that following the invention of the Personal Computer workstation and laptop computers at PARC, researchers would then turn toward making the computer disappear. To most people at the time, having a single “personal” computer was a dream, but Mark Weiser and many others envisioned that we’d soon all have more than just one personal computer in our lives... Today, context awareness isn't about devices and location - it's about people getting things done.

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Defining ubiquitous computing vs. augmented reality

What's the difference between Ubiquitous Computing ("ubicomp") and Augmented Reality ("AR")? I hear this question often, and you could replace "augmented reality" in that question with any of the following buzzy paradigms for people-interacting-with-computers: Virtual Reality, Pervasive Computing, Mobile Computing, Wearable Computing, Multi-Device Interaction, Cloud Computing, Intelligent Systems, Ambient Intelligence, Context-Aware Computing, Adaptive Systems, Machine Perception, Social Computing, Smart Environments, Everyware, and so on. For the most part, I don’t find formal definitions useful; you can call it whatever suits your fancy. All that matters is that I understand what you mean when you use a term and that you understand what I mean when I use it. The attributes of a definition that carry lasting meaning are not technological properties (performance, cost, size, distribution, latency), but the core capabilities that the paradigm enables for usage.

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Tempted by location apps?

Privacy should be the biggest concern for users of location-based social networking apps like Foursquare, Google Latitude, Loopt, and others. Will these companies store and analyze your location traces to figure out what ads to show you as part of their business model? You can deduce a lot about people from their locational traces: where they sleep and work and play, what stores and restaurants they like, who they spend time with, more.

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Face tracking & computer vision

This face tracker outputs a cloud of points that map onto image coordinates, which can be used to determine the 3D orientation of a face relative to the video camera. The algorithm also overcomes the challenge of "deformable movements" such as glasses, eye blinks, and lips.

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Will mobile payments usher in a new era of crime?

With the recent news that Amazon launched a mobile payments service, I have to wonder if fraud will go through the roof. But Amazon wisely invented 1-Click payments to reduce user burden, and soon this feature will apply to mobile users. All of this is very nice and convenient for the user. Except if you're among the 8+ million users a year who lose their mobile phones. Then it becomes very nice and convenient for whoever finds your phone.

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Reducing the password burden: Implicit Authentication

How many times a day do you enter passwords in different places AND multiple times in the same place? While passwords are the most widely used method for authenticating users to computer systems and protecting our information, they're also difficult to remember, inconvenient, poorly used, and not always secure. There are multiple ways to authenticate us (something we know, have, are) -- but why not use our habits or routines to implicitly authenticate us?

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