July 11, 2013
Enola Labs

Enola Labs creates custom strategy and products for mobile and web.

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On Saturday July 13 at 2:30pm, Enola Labs’ CTO Marcus Turner is set to present “The Human App Instrument” at Austin’s Google Developer Conference.

About Texas DevFest

DevFest is a regional event for software developers organized by Google Developer Groups. This year the Austin, Dallas, and Houston GDG chapters are hosting a DevFest in Austin on July 12th & 13th.

TX DevFest is a two day conference with speakers from Google and the developer community. Each day is divided into 50 minute sessions containing either a single speaker or four ten-minute presentations. A demo/code-lab/lounge area is also provided.

The two major topic areas are Android and Web/JavaScript development. However, other Google related and open technologies such as Google Glass are also included. To paraphrase Larry Page near the end of the keynote at Google I/O: let’s focus on interesting things.

About “The Human App Instrument”

From today’s intersection of health, productivity, and technology emerges the Human App Instrument. Cutting-edge devices and applications allow users to self-track their daily lives like never before. The routine measurement of fitness levels, sleeping patterns, diet, performance, productivity, and countless other metrics combined with seamless analytical interfaces can provide an individual with a comprehensive personal record of their quantifiable self.

The market provides a host of evaluative apps and interfaces. The problem with these apps is that they are disparate. They function and churn data for an individual independent of the other facets of human existence. Sure, an app can tell you how long you slept last night and can even illustrate your sleep cycle in an impressive analytical interface—but can it extrapolate that information to tell you how that data will affect your diet or overall mood throughout the day?

The existing app model is specialized and self-contained. What barriers are preventing the data in these applications from being correlated to draw specific comprehensive patterns for you? In other words, how can we go from the current fragmented and often overly simplistic model into a model that synthesizes that disparate data into a more holistic assessment of your behavior?

The next questions is: how can we use aggregated health data to solve big problems? With a coordinated effort between developers, health professionals, researchers, and data analysts, we will have the ability to improve widespread quality of life, reduce healthcare costs, and detect, prevent and remediate potential large scale health issues and diseases.