{"id":57123,"date":"2016-10-12T17:15:13","date_gmt":"2016-10-12T21:15:13","guid":{"rendered":"http:\/\/danielschristian.com\/learning-ecosystems\/?p=57123"},"modified":"2016-10-13T10:06:11","modified_gmt":"2016-10-13T14:06:11","slug":"from-dsc-amazing-possibilities-coming-together-w-augmented-reality-used-in-conjunction-w-machine-learning-for-example-consider-these-ideas","status":"publish","type":"post","link":"http:\/\/danielschristian.com\/learning-ecosystems\/2016\/10\/12\/from-dsc-amazing-possibilities-coming-together-w-augmented-reality-used-in-conjunction-w-machine-learning-for-example-consider-these-ideas\/","title":{"rendered":"From DSC: Amazing possibilities coming together w\/ augmented reality used in conjunction w\/ machine learning! For example, consider these ideas."},"content":{"rendered":"

From DSC:<\/span><\/em>
\n Consider the affordances that we will soon be experiencing when we combine machine learning<\/a> — whereby computers “learn” about a variety of things — with new forms of Human Computer Interaction (HCI) — such as Augment Reality (AR)<\/a>!\u00a0 <\/strong><\/span><\/p>\n

The educational benefits — as well as the business\/profit-related benefits will certainly be significant!<\/span><\/strong><\/p>\n

For example, let’s create a new mobile app called “Horticultural App (ML)<\/em>” * — where ML stands for machine learning. This app would be made available on iOS and Android-based devices.<\/strong> (Though this is strictly hypothetical, I hope and pray that some entrepreneurial individuals and\/or organizations out there will take this idea and run with it!)<\/em>
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Some use cases for such an app:<\/strong><\/span><\/p>\n

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Students, environmentalists, and lifelong learners will be able to take some serious educationally-related nature walks once they launch the Horticultural App (ML) <\/em>on their smartphones and tablets! <\/span><\/strong><\/p>\n

They simply hold up their device, and the app — in conjunction with the device’s camera — will essentially take a picture of whatever the student is focusing in on. Via machine learning, the app will “recognize” the plant, tree, type of grass, flower, etc. — and will then present information about that plant, tree, type of grass, flower, etc.<\/span><\/p>\n

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\nAbove image via shutterstock.com<\/em> <\/a><\/p>\n

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\"horticulturalapp-danielchristian\"<\/p>\n

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In the production version of this app, a textual layer could overlay the actual image of the tree\/plant\/flower\/grass\/etc.\u00a0 in the background — and this is where augmented reality comes into play. Also, perhaps there would be an opacity setting that would be user controlled — allowing the learner to fade in or fade out the information about the flower, tree, plant, etc.
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\"horticulturalapp2-danielchristian\"<\/p>\n

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Or let’s look at the potential uses of this type of app from some different angles.<\/strong><\/span><\/p>\n

Let’s say you live in Michigan and you want to be sure an area of the park that you are in doesn’t have any<\/span> Eastern Poison Ivy<\/a> in it — so you launch the app and review any suspicious looking plants. As it turns out, the app identifies some <\/span>Eastern Poison Ivy<\/a> for you (and it could do this regardless of which season we’re talking about, as the app would be able to ascertain the current date and the current GPS coordinates of the person’s location as well, taking that criteria into account).<\/span><\/p>\n

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\"easternpoisonivy\"<\/p>\n

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Or consider another use of such an app:<\/span><\/p>\n