Superlupa

Author:	ajla Aldah + Ren Jiale (IAAC)
Barcelona, spain, 2018
http://www.iaacblog.com/programs/superlupa/

Purpose	Activation	Interconnection	Collaborating
	Raise Awareness	Educate	Visualize Needs
	Simulate Impact of Decisions	Decision Making	Designing
Co-Creation	Co-Analysis	Co-Design	Co-Implementation
	Co-Maintenance	Co-Monitoring
Outcome	Decision Making	Knowledge	Assessment
	Design	Inclusion	Awareness
	Partnership

Mechanics	Alternative Reality	Role Play	Rule Based Play
	Location Based	Simulations	Mapping
	Geolocation	Hypothesis	Metagame
Tech&Tools	Analoge Tangibles	AR / VR	Audio Visual
	Data AI	Data Collection/Visualization	Digital Interface
	Mobile
Aesthetics	Sensation	Imagination	Assemblage
	Physical Activity / Construction	Realism

Scale	Metropolitan	City	District
	Neighbourhood	Street	Undefined
Audience	Community	Planning Expert	Audience Stakeholders
	Policy Makers
Scope	Individual	Small Group	Small Group
	Crowd	Pre-Defined

SuperLupa is an educational, self-guided game and an indirect participatory design tool that encourages urban exploration of the neighborhood by having markers distributed in different locations for kids to seek and find. Using these markers children are able to unlock chapters of the game and each chapter has a different lesson about the public space and what it contains.

The interface works as a magnifying glass where kids can use the phone to move closer and examine the mixed reality objects to further explore and learn. The chapter we developed using Unity was the Tree Chapter which teaches children about biodiversity and how trees are home to different species such as birds, bees, and even microorganisms that cannot be seen by the naked eye.

The next chapter to be further explored would be food production where kids can learn the types of crops that can and cannot grow in Barcelona by dragging different kinds into the screen and watching its growth process.

From testing out the game in the Superilla, we managed to verify that it can be considered as a multiplayer game since kids were always playing in groups and teaching each other every new discovery they made.

How can the data extracted transform public space?

Location, age, time, interest and level assessment are the five main categories of data generated directly by the game. By cross-referencing these different categories and overlaying them over existing data such as current land-use, decisions makers can be able to:

• Identify hot-spots and deserted areas in the neighborhood
• Understand where kids of certain age gather and why
• Understand when kids use the public space and why
• Distinguish which chapters kids seek and find more interesting and how much time they spend on each chapter
• Identify kids levels and reaction to challenges

Urban interventions such as reactivating deserted areas, introducing temporary events that are more targeted towards different age groups according to their location and interests, creating outdoor learning spaces and others are examples of how SuperLupa can influence the future of the urban planning process.