160611 journal c gp3

G A M E S P A C ES T U D I O

A I R 2 0 1 6 S E M E S T E R 1

1

Gameaspace Studiotutor_Alex Holland

Gabriel NashDanielle Laqui

Hidy Wong

4

0. Our Group

1. Introduction

2. Algorithmic Analysis

3. Value Map

4. Game Performance Assessment _Iteration 1 _Iteration 2 _Iteration 3

5. Conclusion

C O N T E N T S

6

12

24

44

58667278

84

5

0 Our Group 7

GAB

With great relief it is now time to look back at this semester. This semester more so than any other, was full of long days, late nights and endless coffees. The chal-lenge Alex had set us seemed impossible. Within my group, I found myself taking a strong opinionated role (what else would I have done?). It is interesting to look back at the work from the previous sections of this long task and see how it has affected the outcomes for a part C. In particular, it pleasing to see how I have created a wide understanding of grasshopper and thus created a toolkit that I can use in my future practice. Earlier in semester, it was particularly difficult to get the computers to process the large sets of data we require of it and I am glad to say that now I have grasped the concept of computational risk management. It was the endless trials of our algorithms that was back-breakingly

arduous, but I believe there have been obvious positive outcomes. My toolkit now includes an array of algorithmic ideas I am very familiar with such as, distance from points, charged particles, manipulating sets and lists, etc. This toolkit came to signif-icant use when composing the following maps for part C: vegetation, permeabil-ity, popularity and the interestingness. I also converted these to the CSV file and merged these for the value maps for each character. I created the initial value map finding the area of the parks surrounding properties using grasshopper and dividing this by the average house price. I have very much enjoyed organise layouts for our journals and presentations and my abili-ties with Adobe Indesign and Illustrator have grown immensely. This tute has really taught me how to buckle down and work and I half-sure Im grateful.

9

HIDY

In my part, I mainly focused on the topog-raphy-and-sound-related analysis. By using the contour map provided, I created a top-ographic mesh of Quarries Park. We could briefly tell the landscape and compare it to our actual site. After we designed the site boundary for the game, we aimed to collect data of the site by dividing it into grid of 1M x 1M, i.e. the distance between two points was 1M. Focusing on the topogra-phy, I was going to collect the height of each points which allowed me to translate a physical landscape into a datascape.

In terms of the sound map, I was creating a datascape which a higher value represent-ed louder area. Considering sound was a spreading wave, its data should not be clear cut but gradually reduced from high to low. Then I applied point charge which it effectively affected the surrounding points and created a gradual reduction of the number. I am familiar point charge of how its strength affects others point.

As our data is mostly numbers and abstract for people to understand, I tried to visu-alize it in different ways and make more sense to others. After mid-semester, our team went more specific into value maps. Thanks to Team 4, we had concluded the

site into 8 maps: sun, noiseness, interesting point, elevation, permeability, vegetation, popularity and gradient. I was focusing on the map of noiseness, elevation and gradient. Similar to the previous map, I used point charge for the noiseness map. But this time, I created some absolute 0 area which meant that area was extremely silent because of the tree block. In some sense, the noiseness map was related to the vegetation map.

Elevation and gradient were based on the data collected from my topography. By measuring the height of each point, data of elevation was created. Gradient was different from elevation, where gradient re-ferred to the steepness of the slope in site. Especially along the creek, steep slope was observed which meant the value was higher than the flat grassland.

When our data was ready, we had to remap the data into 0 to 1 as to function in Unity, the game program we used for our Pixel-park. We converted the data for each point into CSV file. Team 2 then used our data to create a base map of our game.

10

DEE

My contributions havent exactly been lim-ited to a particular range, I involved myself in initial discussions, took tasks, collaborat-ed with the group, wrote some initial struc-tural content; finalized - both in graphic designing and writing. I am the groupmate who delivers significant, sometimes minor yet still necessary, contributions to each aspect of the project and I consolidate everything.As an example of this, our comic for part c is split three ways. Initial content is done by all three in our group and I consolidate these comics to deliver a cohesive output. I am part the graphic designer, part the writer; I edit, finalise and proofread.For the technicalities though, I got around doing a variety of stuff on grasshopper. Initially had my own explorations i.e. veg-etation, grid pinching, sunlight and even-tually had to dive into my groupmates and understand her algorithms at some parts for a submission. Sunlight, specifically, was

highly interesting as I could recognise the potential it has to be utilized in further studies. I understood the various applica-ble algorithms and kept looking for more whenever one was consuming too much time but it failed to be functional for the format we needed. During the duration of the project, I explored plenty of interesting algorithms and can say I have acquired a medium-depth understanding of the capa-bilities of grasshopper and how it will ef-fectively illustrate and execute my theories. My fondness for graphics and presentation is now supported by my newfound abilities in indesign and illustrator when it was pre-viously limited by mere photoshop. Also, the landscape team is a great group, altogether and individually, great that every-one has significant contributions and has their own individual decisions that affect the group well. We held discussions every time we began a submission and everyone equally takes part.

11

1 Introduction 13

RAMSDEN OVAL

PARK ENTRY

STEEP SLOPE

NEXT TO CREEK

LABYRINTH

MINI FOREST

READY? GO!

PLAYGROUND

SKATEPARK

RESIDENCES

VEGETATION

MERRI CREEK

MAN BUILTPAVILLIONS

HIGHEST POINT

THIS IS QUARRIES PARK! IT HAS AN EPIC ADVENTURE PLAYGROUND, A SKATE PARK, SPORTS OVAL, BBQ FACILITIES, DOG SPACES AND OFFERS BREATH TAKING VIEWS OF THE CITY!

QUARRIES PARK IS A COMMUNITY PARK ON THE EDGE OF CLIFTON HILL, BORDERING THE EASTERN FREEWAY AND MERRI CREEK WHERE EVERYONE HAVES A BIT OF FUN!

welcome to qarries park1515

ACTUAL SITE

ASPECT ANALYSIS

DIVISION TO GRID

PIXEL MAP

PATH

VEGETATION

IMPERMEABLE

VEGETATION

DIVIDING THE SITE INTO 300 X300 CELLS, EACH 1M X 1M

CONVERT THE MAP INTO A DATASCAPE OF PIXELS

ANALYZING THE ATTRIBUTES IN THE PARK

QUARRIES PARK

THE LANDSCAPE TEAM REBUILDS QUARRIES PARK AND TRANSFORMS IT INTO....

...PIXELPARK!

..A GAMESCAPE! CONGRATULATIONS, YOU NOW HAVE AN ENTIRE PARK AS A GAME ON YOUR MOBILE PHONE!PIXEL

PARK!16

IM FRED. I DEVELOP PROPERTY AND SEE COSTS AND VALUE. I LIKE $$$, THE PARK HAS THE POTENTIAL FOR MONEY AND I WANT TO BUILD,

BUILD, B U I L D!RAMSDEN OVAL IS THE PERFECT SPOT TO BUILD, BUILD, BUILD!

$$$$$$$$$$$$$$$

I want to buy

the park!

FRED, property developer

17

SHIBE, doge

WOOF! WOOF! *wags tail* WOOF! WOOF! *looks at you excitedly* WOOF! WOOF! WOOF!

WOOF! WOOF! G R A S S ! WOOF! WOOF! P E O P L E ! WOOF! WOOF!

1818

LEMON, the environmentalist

Im Lemon. I love the

environment, I love green and I want

trees, TREES, T R E E S!

QUARRIES PARK IS NATURE, NOT YOUR FIELD OR PLAYGROUND OR SKATEPARK! STOP TRAMPLING ALL OVER MY PARK!

THE CREEK IS SACRED, WE MUST TAKE CARE OF IT AND THE ENTIRE PARK!

1919

GRACE, old woman

Im Grace, I am old. The park is very calming for me as I can relax and get a bit of exercise. I love the views and the labyrinth but Im afraid Im too aged to be around too many people and such loud noise. My aged skin cannot handle too much sunlight as well.

I want a good view, a bit of walking and a lot of peace and quiet.

20

ALICE, the runaway

Im Alice! The entire park is my playground! I cant be seen by other people because my parents must not know Im here but I still want to explore and have fun! We just have to be a bit sneaky! Heres my map!

I want to play but I have to

hide!

ONE OF MY FAVORITE SPOTS IS THIS AREA BETWEEN THE TREES AND THE BACKS OF HOUSES!

START

2121

Im vegeta-tion, at this

point I have a rating of 0.24!

THE ATTRIBUTES OF THE PARK ARE IDENTIFIED

Im the sun and its 0.67 of sunlight

here!

Gradient. Site,

Gradient. Pretty flat

here - 0.13.

Im permeability, 0.45!

BALALA! NOISE. 0.35 IM CLOSE TO THE TRICKLING CREEK!

Ooooh, interest-ing-ness here. 0.4!

Popularity. 0.27

Im elevation, my value is

0.85.

AT EACH M2 OF THE PARK, THESE ATTRIBUTES ARE MEASURED AND ALLOCATED A VALUE BETWEEN 0-1.

22

DEPENDING ON WHAT ATTRIBUTES THE CHARACTER LIKES (+) OR DIS-LIKE (-) DIFFERENT SPOT BECOME MORE OR LESS VALUABLE

23

2Algorithmic Analysis 25

Processstep 1-6

Our aim to create a set of data that is readable by Unity, the program used by the other three groups, is outlined to the left. Our site was broken down into a grid of 90000 cells, each cell with a size of 1m2. Each square metre is then regarded as a single point. We then de-cided on the particular attributes that we wished to break down the site into; for example the elevation of the site. Each point has then been given a value between 0 and 1 that is representative of the attribute we have analyzed. On step four, the highest point in the park has been given a 1 and the lowest, a 0. Finally, this data is then turned into a CSV file that is readable by Unity.

Data to be used by the other groups

Attribute as data at each point

Attribute to analysis eg.

the elevation

A point for each m2

Divide the site into 1m2 grid

Quarries Park

2626

54

6

3

2

1

2727

The sun map is an analysis of the an-nual sunlight hours for every square meter of the map. This has then been remapped between 0-1 to have the sun-niest square metre at 1 and the shad-iest square metre at 0. However due to an unresolved error, the number of points generated through our Ladybug algorithm failed to match the number of points we needed. Due to time con-straint, a compromise was made and we ended creating an image based off the map generated by ladybug that was then placed through the image sample com-ponent to generate the required num-ber of points.

SUN

sun map

vegetation map

site plan

28

1.0

0.7

Open grassland

Playground

0.0

0.0

Way up to slope

Dense vegetation area

The vegetation blocks the sun-light and creates shadow. Thus the sun value is low.

29

This map is a representation of where the loudest and softest volumes of noise can be predicted within Quarries Park. This maps the noise between the softest noise (0) and the loudest (1) . We have utilised the point charge com-ponent to generate this map. We have placed positively charged points in areas where we predicted sound to be gener-ated and from where we had previously witnessed loud sounds. Different inten-sities were assigned to different sounds. As we have previously acknowledged , mapping attributes such as sound are incredibly subjective and thus are rife with assumptions. However, in order to map such attributes, assumptions must be made.

NOISINESS

noisiness map

site plan

30

0.3

0.0

Merri Creek

vegetation

0.7

1.0

playground

oval

The vegetation blocks the noise from the surrounding

and the area is relatively silent. Thus the representative num-

ber for this part is 0.0.

The playground has a value of 0.7 because it is a highly popu-lated areas due to children and parents; this results to a loud

volume area.

31

Akin to the noisiness map, this map is subjective. Subjective of what is in-teresting and what is not. We decided that as one approaches the interesting points within the park the value of in-terestingness would grow. To generate a gradient of values, the distance between interesting points and all points were measured and then added together to give a scale of distance from interest-ing points. This was then inverted and remapped to fit the convention of 0-1. Particular spots within the park were limited to only reaching a specified val-ue such as the playground.

INTERESTINGNESS0.0

0.7

1.0

highest point

playground

labyrinth

32

interesting points map

site plan

33

The elevation map is self-explanatory. We extracted this from the topography of the site and generated values to re-flect how high or low a point is from the topography. This was not as easily done as it may appear as many of the components that would usually make this easy would not work with a mesh.

ELEVATION

By using the contour map, we can produce a 3D topography of the site. We then measure

the height of each point which is the elevation.

0.0

0.4

1.0

Merri Creek

flat grassland

highest point

34

By using the contour map, we can produce a 3D topography of the site. We then measure

the height of each point which is the elevation.

elevation map

contour map

35

The permeability is a compilation of more basic maps with the

vegetation density and gradient included.

The permeability of the site integrates multiple maps from our past explora-tions. The permeability uses the values from the vegetation to illustrate the density and thus permeability of the vegetation. This map has certain val-ues designated to different components of the site such as the creek, paths etc. Thus the permeability map is able to perfectly represent within Unity, more than just the permeability but grassed areas, where the paths are, etc.

PERMEABILITY

36

As some points were too steep to traverse there-fore we incorporated

them in the permeabilty map:

Gradient > 0.75

Although the creek is not impermeable, it is not per-meable within the realm of this game and thus has been

given a value of 1.

The paved areas and the road have been given values of 0.2 and 0.3 respectively.

These areas although as permeable as the paths are

less easily traversed.

0.1

0.15

0.2

0.3

0.5

1.0

0.0 - 1.0

0.0 - 1.0

Path

Paved area

Road

Skatepark

Penetrable

Impenetrable

Vegetation

Permeability map

37

Vegetation map reflects the density of trees, grass and shrubs. The bases of this map is an image sampling of the density of the vegetation. Like the per-meability, certain components of the park are designated particular values. All non-vegetated areas such as the paved areas are designated a value of 0.

VEGETATION

The vegetation was remapped between 0.2-1.0, giving the grassed

area a value of 0.2.

vegetation map

site plan

38

These yellow shaded areas are vegetated

areas.

0.2

0.0

0.0

Grass area

Merri Creek

Path

0.2 - 1.0Vegetation

39

POPULARITY

The popularity map is similar in algo-rithmic composition to the noisiness map and again it is subjective. This map however has specific values given to areas that we decided were specifically populated such as the paths (0.2) and the bike path (0.3). This map was gen-erated to have the people voxels spawn and then move within the popular area.

popularity map

site plan

40

A highly populated area

is the playground. Kids and their parents compose this popula-

tion. This entails a value of 1.

These blue shaded areas are deemed

popular.

0.3

0.1

0.2

By path

Labyrinth

Path

0.5

1.0

Playground

Oval

41

section

gradient over 0.75

gradient map

topography

Gradient

The gradient map has been generated by finding the tangent of each point on the elevation map. This again is easier said than done.

42

0.45

0.0

Average gradient

Flat Grassland

0.75Slope along Merri Creek

Tangent = Gradient

Calulate the gradient by using

the tangent of point

43

3 Value Maps 45

Value Map Processstep 1-5

With each character, PixelPark has been designed to emulate our assumptions of how each character would experi-ence the park. The diagram to the left describes our method for how we came about creating the maps that illustrate the different value each character plac-es on each attribute of Quarries Park. Firstly, we found the average house price of the surrounding properties ($1,090,000) and divded this by the av-erage property size. The idea that the prices of the park would be drawn from the surrounding property price came from our readings of Jane Jacobs and her understanding of a park as direct-ly affected by its surroundings. Then depending on the character, the differ-ent attribute maps would either nega-tively or positvely affect the base value of $4037 for each square metre. This would then force players to different parts of the park to collect higher value voxels.

Data of Merged Value Maps

Merged Value map

Attribute Maps to be merged

Base Square MeterageValue

Map

Properties directly

surrounding Quarries Park

4646

43

2

1

5

{

4747

This old lady likes to come to Quarries Park to relax and get in a little bit of exercise in her day. She loves walking down the bike path to the labyrinth and the views of the city. However, the loud crowds on a Saturday down at Ramsden Oval and the screaming children at the playground is all a bit much sometimes. Her skin is quite sensitive to the sun and thus her preference to sit in the shade.

OLD WOMAN

interesting point map

elevation map

sun map

noisiness map

MERGED MAP

site map

+20%

-20%

-30%

100%

+30%

48

Labyrinth

Highest point

Gravel path by creek

Vegetation behind the playground

Large open grasses area / 0.2

Fitzroy Football clubhouseThis area is where the vegetated areas

of the park be-come wilder and

The Sound map is quite extreme due to the old womans dis-

like of loud areas.

Particularily subdued, the

elevation would almost uniformly raise the price of

the land.

The labyrinth is the old womans most favored spot as it satisfies her ideal perception of the

park.

49

RUNAWAY


vegetation map

sun map

popularity map

MERGE MAP

site map

+20%

-20%

-30%

100%

+30%

This naughty child has run away from her parents because they wouldnt take her down to the park today. All she wanted to do was play in the play-ground, traverse the impossible laby-rinth, explore the wild creek and soak up the sun. She knows that shes got to stay away from people or theyll tell on her.

50

Playground

Back of the house

Ramsden oval

Bike path

Labyrinth

Path

Sunniest spot

Fitzroy Football clubhouse

It is quite notice-able how affected this map is by the

-30% of the Popu-larity map

One of the runa-ways favourite spots

is between the houses and the vegetated area. You can look into other

peoples houses.

Again the labyrinth appears

to have won as the best spot for the child

to hangout in the sun, do something interesting, be

among the trees and away from other

people.

The playground

is too crowded today for the

runaway to go play in.

The paths are set to a level of 0.2 on

the popularity scale. The bike path however is set to a value of 0.3 as it is usually busier than the

other paths.

51


permeability map

popularity map

sun map

elevation map

MERGED MAP

site map

+20%

+20%

+10%

-30%

100%

+20%

This property developer wants to build, build, build. He doesnt particularly care too much for the natural beau-ty this park brings to Clifton Hill, he just wants the best land at the cheap-est price. He does have to make sure with that the huge apartment building hes been scheming about for years. He knows that the highest regions within the park arent suitable for building.

PROPERTY DEVELOPER

52

Labyrinth

Existing buildings


The other side of the park

Perfect building site

Fizory Football clubhouse

Flat as and close to the road

this spot is perfect for building on ex-cept it is Ramsden

Oval.

The sunlight map is particualy simple and flat.

The other side of the park

is an under utilised part of the park that is wedged between the park and the East-

ern Freeway

The permea-bility of the site is

affecting the value of the square meterage nega-tively in the impermeable

places as they would have higher construc-

tion costs.

The existing buidings are blocked from the park by a

bufferzone of vegeta-tion. It is quite quiet

within this space.

53

DOG


noisiness map

popularity map

permeability map

MERGED MAP

site map

+30%

+10%

-20%

100%

+30%

Woof ! Woof ! Woof !

54

Playground

Merri Creek

Ramsden oval

Labyrinth

Highest multiplier

Path

Bike path

Large open grassy area


This point is popular, loud and

easily accessible. The dog is going to love hanging out with the

local footy fans.

The playground is also a high point

however the dog isn't really meant to be with-

in 15m of the play-ground.

This area is often used for run-ning dogs. A place

where one can easily play fetch.

55

ENVIRONMEN-TALISTDamn those neo-liberalist scum - the environmentalist. This park means a lot to this environmentalist. He feels he re-ally needs to be in constant connection with nature or hell lost touch with re-ality. He cant stand how controlled this environment is and is discussed by all the people trampling all over what was once a beautiful forest, he doesnt quite realise Quarries Park was once, in fact, a Quarry.

sun map

vegetation map

popularity map

permeability map

MERGE MAP

site map

+30%

-20%

-20%

100%

+30%

The Sunshine map is the least successful of our maps as it does

not show large variety and thus doesn't particularly

work as well as the other maps.

56

Highest point

Playground


Vegetation behind the playground

Zig zag path


Made in a similar manner to the perme-

ability map, the vegetation map was built from a basic map of the vegetated areas,

adding the creek and non-vegetated area.

The Popular-ity map is created

using charged lines and points. While also having sections with strict values

such as the play-ground area.

The Popular-ity map is created

using charged lines and points. While also hav-ing sections with strict

vlalues such as the playground area.

The zig zagged path is a lovely little path

that leads down to the roadside. We considered it interesting due to its

landscaping.

57

4Game Performance Assessment 59

Voxels...Voxels...

60

Ok?

?

LET THE GAMES BEGIN!61

Our final assessment of Pixel-Park was the testing of it on site, at Quarries Park, Clifton Hill. We conducted three dif-ferent iterations of PixelPark. These iterations allowed for a clear assessment of the prac-ticality of the gameplay. The first iteration played had each person chasing particular voxel types. The second iter-ation included the use of pow-er ups that allowed the player to have their infected voxels infect other voxels. The third, did away with the power ups, yet allowed the players in-fected voxels to infect other voxels. Our analysis is drawn from video footage and re-cordings on the day as well as a questionnaire that was filled out by the participants in the days that followed.

Participants

JulesAlex 1 Alex 2StanislavStanislavs daughterBillyHattieEdwardHidyDeeGab

GAME PERFORMANCE ASSESSMENT

6262

What is the most effective voxel and why?

What is the least effective voxel and why?

If there are any adjustments to be made concerning the

voxels, what would it be?

If there are any adjustments to be made concerning the overall game, what would

they be?

Which character was most intriguing/provocative

to play as?

What did you think was the best feature of the game?

What did you think was a bad feature of the game?

Has the studio achieved its goal through the game?

Did you have fun? On a scale of 1 to 10, 10 being the

highest.

Would you be interested to play the game if it were

configured to other sites?

The following questions were asked in the questionnaire and the answers are given as quotes amongst our

analysis that follows

6363

How do you do a screen shot?

Wheres north?

I cant find north!*facing north*

64

Now thats a lot of pollurtion!

Why is the palyground so

polluted?

Pollution always wins...

Theres so much smog!

65

ITERATION 1Chasing Particular Voxel Types

This iteration was used to as-sess the effectiveness of each voxel type. Players were in-structed to find as many of a voxel type of their choice, as they could within a 15 minute time frame. This analysis only concerns itself with the game as it stands and the voxels production.

6666

It was unanimously observed that the pollution voxel were much too powerful within the game system, infecting the other voxel types before the participants could reach them. The paper scis-sors rock rules overly favoured the pollution voxels.

The pollution just spreads so damn fast - Edward

It was eating everything- Billy

eating fast and spreading fast- Hattie

It ate everything. Maybe not intended, but it could be a piece of speculative design. You know? Argumentative, like this is how

In the opposite way to the pollution voxels, the sunlight voxels lost out in the rock paper scissors rules and although at the initial stages of the game were present within seconds there was little to be found.

The vegetation and people voxels were particularly accurate in their positioning on the map. The people voxel stuck to the paths and playground areas. The vegetation voxels were as Alex 2 puts it, reasonably accurate.

People seemed to find the static nature of the flood voxel likable and boring:

Water voxels were also represented quite well, always down by the creek. I particuluarly liked how these water voxels did not move like the other voxels, but stayed in place Alex 2

[the least effective voxel is the] flood - but thats mostly because currently its static. Id like to see it being dynamic, changing the virtual landscape- Jan

6767

The smogs always winning!

68

Maybe thats a metaphor...

LETS DISCUSS..69

When you started the game was it

exciting? Was there anything around

you, or where you like: what the fuck?

70

Yeah like that...

LETS ASK THE REAL QUESTIONS.71

ITERATION 2Power Ups

Within this test we were able to concentrate on the will of the characters as well as the accuracy of the gamescape. When opening the game, a character is randomly assigned to you. With this the players were playing the game for how it had initially be designed: to get players to consider other users of the park and experience different places within the park due to thinking like the different characters.

7272

Playing the different characters it was obvious that playing as the Donald Trump-esque property developer came with a clear advantage. As the developer seemed to preference almost all the attributes of the park except steep areas and the creek. Allowing nearly every infected voxel to be worth close to the maximum.

On which character was the most interesting and caused them to think the most about the character, there was a real tie between the dog and the environmentalist:

The dog, I think. You basically like everything, so it's really fun, and not much of a challenge. It works best, when you play as other characters first, so you experience the actual challenges of the game -Jan

The Dog - Alex 1

Dog - Billy

The grandma was also quite interesting, as I had to find high spots with a nice view but couldn't go up steep slopes! - Alex 2

I only played the dog. So, the dog - Edward

The environmentalist? As their value would be harder to get a high score - Hattie

I liked the environmentalist - I was forced to explore around the merry creek. His value spots were pretty clear Alex 2

The objective of the game also seemed to confuse people. As it not explicit. It was found that the game distracted you from thinking about how the system work or even noticing that the voxels were competing with each other. However, this confusion ultimately lead to the players running around the park trying to figure out where their character would gain the highest points for infecting voxels and thus had people traversing different areas of the park. In a roundabout way, this fulfilled the aforementioned goal: to get players to experience different parts of the park. The eagerness of our participants would most likely be much exaggerated compared to people not directly connected with the making of the game.

While we designed the game, it was hard to always be aware of the objectives. In the back of my head I knew that I was meant to harvest voxels, but there wasn't a clear connection between my actions and my score. Or, my actions didn't feel like it affected my score - Jan

Confusion also came with the inaccuracy and slowness of the GPS. Player were seen walking around in tight circles.

The GPS was not efficient enough to catch up the movement of the users - Alex 1

The power ups got people to easily aim themselves at something in the initial stages of the game, forcing them out of the 0,0 spot on oval, which had little voxel generation.

The second game is pretty clear. Because I only need to focus on getting a higher value, I know that going to certain space and eating power-ups will help me get a higher value - Alex 1

7373

She doesnt want to be here right

now

She does want to be here right now cause the musics

happy...

Is it?

Oh no, she does

Yes its all happy... *sad music playing*

Really?!

74

Does she even know...75

Oh, where?

Somewhere over here

76

254!?

Im only on 1

77

ITERATION 3Voxels Infecting Voxels

In this iteration the voxels each player infects begin to infect other voxels without the use of power ups. This iteration was particularly funny as everyone was able to get quite high scores, in the millions. However, this took away much of the challenge of the game and one could just infect one voxel and wait for this voxel to infect all of the other voxels. Though this did more accurately represent our groups value maps the voxels eg. 270 voxels = $1,090,000.

78

In PixelPark, were you clear in what to do?

The gamescape ac-curately represent-ed the park.

The voxels effec-tively represents the systems in the park.

There is enough time to adequately explore the park be-fore the game ends.

2 DISAGREE 3 AGREE

0 1 2 3 4 5 6

In voxel park, wereyou clear in what

to do?

The gamescapeaccurately

represented thepark

The voxelseffectively

represent thesystems in the park

There is enoughtime to adequately

explore the parkbefore the game

ends

Physical Performance

DisagreeNeither

AgreeStrongly Agree

2 NEITHER AGREE NOR DISAGREE

3 AGREE

4 DISAGREE

1 AGREE1 NEITHER 3 STRONGLY AGREE

1 AGREE

0 1 2 3 4 5 6

In voxel park,w

ere you clearin w

hat to do?

Thegam

escapeaccurately

representedthe park

The voxelseffectively

represent thesystem

s in thepark

There isenough tim

eto adequately

explore thepark beforethe gam

eends

THINK MO

REINTERACT

REALIZEE

PROVO

CATIVE Perform

anceSTRO

NGLY Disagree

Disagree2Neither

AgreeStrongly Agree

PixelPark directed me to seek out my characters hot-spots.

PixelPark direct-ed me to different parts of the park.

PixelPark made me explore the park differently.

PixelPark made me aware of the other users in the park.

PixelPark made me aware of the ele-ments in the park.

PixelPark made me interact with others in the park.

In character, Pixel-Park made me real-ized how different people would per-ceive and explore the park.

4 AGREE 1 STRONGLY AGREE

1 DISAGREE 2 AGREE 2 STRONGLY AGREE

ALL AGREE

3 AGREE1 NEITHER1 STRONGLY DISAGREE

3 NEITHER AGREE OR DISAGREE 2 AGREE

2 DISAGREE 1 AGREE3 NEITHER AGREE OR DISAGREE

1 DISAGREE 1 NEITHER 3 AGREE

The following questions were also asked in the questionnaire and these are the statistics from the assessment

79

Wow...

Whats even happening?!

Youre killin it...

Look!

Imma infect these god damn

voxels!

$158544!

81

THE LANDSCAPE TEAM CONSIDERS THE GAMESPACE STUDIO A SUCCESS AS IT WAS ABLE TO ACHIEVE ITS MAIN OBJECTIVE OF REDEFINING HOW WE EXPERIENCE THE ENVIRONMENT. PIXELPARK IS A CLEVER GAME THAT PROVOKES ITS USERS AND PROMPTS A DISCUSSION.

EVERYONE AGREED THAT PIXELPARK MADE THEM EX-PLORE THE PARK DIFFERENTLY. GOAL ACHIEVED!

83

5CONCLUSIONOur contributions are in need of tweaking but none-theless, successful. For more developments, the landscape team could de-velop value maps that analyse the park in further depths. Perhaps these maps could encompass a larger area of the park, if Unity would allow it. Also, the type of value maps could have a wider cover-age since these maps are not as specified as they could be. The landscape team has gathered an understanding of algorithms that have great potential to be utilized and further developed in future studies. The gamespace studio has allowed us to explore how we perceive what we have come to know as architecture through returning to fundamentals. Why do we do this or that how we do it?Why cant we do it differently? 85

G A M E S P A C ES T U D I O

A I R 2 0 1 6 S E M E S T E R 1

86

160611 journal c gp3

Documents