AUGMENTED
BIOSPHERE


Augmented Biosphere is a collection of practices that questioned a future landscape where Augmented Reality device replaced smart phone. This project speculates urban landscape alteration by augmented reality layer and three-dimensional world controlled by captial and government, and its data accessibility in different location on earth. The practice begins with experience in one person experience of the Augmented Reality data and expanded to community size and multinational scale.

The project inspired by apprehension on domination of Augmented Reality space by multinational corporation happened in 2017. What if inevitable invasion of capital into un occupied territory gets controlled by one who has capital? Ownership of Augmented Reality layer will create difficulties to access data for the public and creats information imbalance in between one who has fortune and one who has not.
 Diagrams above projects possible scenarios how corporation utilize accessibility of Augmented Reality when it is unavoidable not to use. Moreover, this service can supports software downgrade by plans that one signed up for their accessibility and intentionally to create information imbalance within different social classes.

Full exploration created design fiction to speculate a society where the apprehension comes true. It addresses a question of perspective on the Augmented Reality dominant environment through a number of possible applications in a fictional city specifically created for AR. I explore the subject via speculative design fiction that addresses case studies of applicable services with the technology and possible implication of illicit action. This dissertation explores the future of Augmented Reality by following an AR driven fictional city with discussions of private, public and governmental usage.
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Followed by exploration of Augmented Reality space ownership, multiple practices were created by prototyping current Augmented Reality technology such like Hololens and Google's AR Core.

Practice 0
Practice 0 experiment capability of what current technology provides. It explores idea of recreating natural park in industral office via AR to give users a give 'mental space' and fabrication of human sensory by holographic object.

Practice 1
Practice 1 focuses on information hierarchy by earth altitude creating data imbalance in different city. It devides social class into seperate city by connectivity to AR space.

Practice 2
This practice transform the nature of data to location and interactive sensitive to access specific data set. Data alignment with three belts of data in different scale to force human life to match with rotation of data near user.

Practice 3
Practice 3 speculate data generation is depended by human interaction intensity and time sensitive. Data can be treated as an natural resources in many different features .

Practice 4
It is an visual exploration of how the data will be distributed in form of particle, panel and bits that contains information relevant to source obejct or surrounding environment. It supports no electroic receive data in ephemeral form to amplify the present.


The group of sensors will generate particles that contain relevant data to the corresponding object e.i. vegetation, vehicles or parts of the surrounding environment. The data particles are released into an Augmented Reality plane where the sensors are available to all local users. The particles are distributed by four methods categorized by the type of source and the source object. The Panel method is for fast moving vehicles with non-updating data sets, the Emission method for a objects not in motion like vegetation and buildings, the Shed method is for object in motion with updating data sets, and the Mist method is for a large area with meaningful or meaningless data to mask out the area. Each data particle is shaped as an abstracted pictogram determined by categorized method. Moreover, colorization of the shape assigned by the distributor sensor will categorize the data particles for the different groups of users. However, categorization will not filter out data particles to other groups of users.

The creation of the working model city prototype provides an example of the opportunities that the Augmented Biosphere has to offer. Two main questions arose while working with the prototype. First, will a city able to be built on an Augmented Reality target recognition system? Second, how are the data particles working in micro to macro scales? The photos and video shown in this section are a glimpse of the prototype that demonstrate the answer to these questions. Each structure and vehicle are assigned to a different purpose with different data particles. This allows me to experience how the Augmented Biosphere can exist in physical space without having to access the data via the internet and using other AR technology providers.

A series of scenarios will walkthrough the Augmented Biosphere by different groups of users that utilizing the data particles. This is how sensors generate and distribute the data into the local Augmented Reality plane. Each data particle has unique feature determined by its data. Also, each data’s life span varies depending on its contents. For example, fast updating datasets like water meter or speed can last only a few seconds while a protest or larger slower movements can last days. Each scenario helps create an entire landscape to depict a complete biosphere for urban landscape of the future.


Augmented Biosphere proposes an environment that reveals data to the public via augmented technology. The focus of the project is a collection of scenarios that amplifies the present three-dimensional world via augmented technology utilizing the data that collected from surrounding group of sensors. It visually revealing data to all viewers and composed of sensor collective that already placed within everyday objects such as vehicles, building and vegetation. To avoid data monopolies by corporations, Augmented Biosphere allows people to access and own their own data. Data is collected by context- and location-dependent sensors ephemerally disclosing data to the public.

The installation includes a model city, scenarios of the Augmented Biosphere, and an index visualization of the data particles. The project explores a city built by a target recognition pattern. The patterns are categorized by different style by type of source object. The model city can be explored using a tablet device or smartphone with an Android operating system supported by Unity and Vuforia Augmented Reality program. An audience can explore the model’s Augmented Reality plane via tablet device which is placed in front of the model and moved by a guided rail. Each section of the city represents a different district of a real city. It starts with an office district on the left corner followed by city hall, a residential district, park, industrial district, freeway, parking lot, hospital and fire station. Throughout the model there are examples of different vehicle types such as a cars, trucks, trains, and metros.


The Augmented Biosphere would able to expand to more practices and possibilities. Future expansion could deal with data terrorism that can harm or disrupt systems or social structure. There are also scenarios where data is only able to create at a specific location and could allow as International trading resource. These are just small bits of what can be explored in the future of Augmented Biosphere.