Ironically, “staying connected” today means disconnecting from real life. When we enter the placeless-ness of cyberspace and the rigid schedules of Zoom calls, we leave behind our 3D environment: our bodies, our homes, neighborhoods, and our impromptu interactions. Our 3D world flattened to a 2D screen.

Our 3D world flattened to a 2D screen.

Many emerging smart homes products (Amazon Echoes, Nest thermostats, door locks with “smart” cameras) promise to connect the Web with our physical environment. But getting an Echo update when an Amazon package arrives or having my Nest thermostat auto-adjust hardly fulfills the potential of real connection.

Even products like Facebook Portal specifically focused on telepresence is still just another screen. It just doesn’t compare to running into someone in real life (IRL). Wearables and mixed reality headsets like Hololens are completely individual. Others in a room have no context on your reality. With the filter bubbles of the Web already channeling each one of us into our individualized realities — creating real spaces where information is shared becomes even more important. As we descend deeper into the void of the screen (admitting modern Web is a miraculous technological accomplishment in and of itself); we have to ask ourselves — where do we go from here?

Measuring the Great Indoors Class

Social Experiences > User Experiences

Spatial Interfaces > User Interfaces

In our class “Measuring the Great Indoors”, architect and urban design students investigate the spatial, tangible, and impromptu potential of web connectivity. Our aim was to heighten our connection to the physical world and each other by designing digital interactions beyond the screen: with social experiences and spatial interfaces, students designed interactions that engage the five senses and all three dimensions.

Students hacked together smart home products, cameras, and projectors with microservices like IFTTT, which allow custom “routines” to connect devices, and further programmed logic between these devices with flexible programming environments like Processing and P5.js. Despite mixed reality glasses sophisticated, high tech solo experiences, actually, projectors, a seemingly commonplace 100 year old technology affords so much more. Projectors create a social experience — projections can be seen and shared by anyone in a room generating communal experiences. They also create spatial interfaces — they overlay visuals on the environment grounding information in place and allowing the body to interact with information.

Architecture Meets Digital Architecture

All of the hardware technology students used was off-the-shelf. Its impressive how much can be prototyped in a few weeks with a few lines of code and some taping products and services together that don’t usually talk.

While this course involved technical aspects of building science and digital technologies, our primary aim was to encourage students to consider dynamic spatial and environmental qualities in their design work and to design the phenomenological aspects of “the great indoors.” Our “home base” for student projects was our homes, allowing students to intimately live in their own experiments.

Architects Think In 3D

Architects and urban designers have a tuned perception to how the built environment impacts people’s lived experiences: how it influences behavior or how it makes us feel. By looking into the phenomenology of space, architects tune into the blind spots ignored by modern technology. Take for example how the tunnel vision of targeted news feeds optimized for a single function: get users to spend more time on a platform, which is ultimately flaming the rise of political extremism — a very real life consequence. When people look at their phones, they do so in a room, in a neighborhood, in a city, next to a family member, with or strangers. UIs shouldn’t always be oblivious to this context — oblivious to our real life, our immediate spatial and social realities.

“Smart home” and IoT devices typically seek to optimize our behavior and hijack our attention. But what if we could use these devices in a different way — to resist the attention economy and the commodification of our everyday lives? In many projects, students were prompted to create “recipes” using IFTTT (micro-services) with a goal to “do nothing” — inspired by Jenny Odell’s book, “How to Do Nothing: Resisting the Attention Economy.” Students use “recipes” to focus their attention back to their homes, the environments around them, the lighting, the people sharing those spaces, or to create and tune into communal experiences for students across the globe.

Our realities are right under our noses (or maybe behind us if we’re staring at our screens). Tech that acknowledges our bodily, social, and physical reality is critical if we want a future where we are awake and tuned in to our world.

“We experience the externalities of the attention economy in little drips, so we tend to describe them with words of mild bemusement like “annoying” or “distracting.” But this is a grave misreading of their nature. In the short term, distractions can keep us from doing the things we want to do. In the longer term, however, they can accumulate and keep us from living the lives we want to live, or, even worse, undermine our capacities for reflection and self-regulation, making it harder, in the words of Harry Frankfurt, to “want what we want to want.” Thus there are deep ethical implications lurking here for freedom, wellbeing, and even the integrity of the self.” ― Jenny Odell, How to Do Nothing: Resisting the Attention Economy

Authorizations of the Physical

When you’re with a group of people, how do you decide whether the light gets turned on or off? How do you decide where to set the temperature?

When we begun comparing our interior environments to web technology, we started to see the similarities and differences in the affordances of these systems. Smart home products are typically controlled by one individual user profile. This structures the governance of the smart home system under a single person even if the system impacts roommates or family sharing the home. An “old fashioned” light switch has no permissions for control. Whoever can reach the light switch can turn it off or on. A former student, Wenya, pointed out that there are many other ways of structuring the governance of our physical spaces. Lighting can be adapted based on the number of people in a space or based on voting of who wants the lights off or on. In a crowd, a light could be dimmed if a single person’s mood was bad. There’s a lot of permissioning capabilities that can control our indoor environments when you dive into it. A lot of ethical questions have yet to really be investigated in smart homes.

These experiments show that spatial/social tech is not a distant dream. Within a few weeks, a handful of architecture students created a myriad of provocative prototypes with tech that already exists. A future that fundamentally connects us to each other and tunes us back into our physical realities is still possible.

Architecture, Human Computer Interaction, Tangible Computing, Service Design, Interaction Design, and User Experience Design: these all have wisdom to contribute to spatial/social tech. We need a cross-disciplinary approach where we recognize the whole environment as interconnected — its space, its digital layers, its culture, etc.

If we were to invest further in technologies like projection, smart home products, and connected cameras and speakers, just imagine how different or perhaps more natural our experiences could be.

In 10 years time, I hope we’re not all still buried in our phones or locked to Zoom screens. I can’t imagine that’s possible with this suite of technologies burgeoning with spatial potential — it’s only a matter of time and the desire to move beyond the screen.

Beyond Telepresence was originally published in Measuring the Great Indoors on Medium, where people are continuing the conversation by highlighting and responding to this story.

1 Download Processing. Place Processing in the Applications folder on your computer (or Program Files for Windows). When you double click Processing, it should install and launch the application with a new empty sketch. A sketch is where you will write your code. We’ll be writing code in Java inside of Processing.

Processing Documentation

Basics

You will have two basic parts in Processing, the “setup” and the “draw” loop. The setup loop runs once when launching your script, whereas the draw loop runs repeatedly. This allows you to save computing power by sticking parts of the code that only need to run at the start in the setup loop. The draw loop will continually update so it can change over time, or get realtime information such as the location of your mouse or update a camera feed.

void setup() {
  size(1280, 960);
}
  
void draw() {
  background(0);
  ellipse(mouseX,mouseY,500,510);
}

Light

//images below from left to right
background(0);
background(0,255,0);
background(255,255,0);

fill()
noFill()
stroke()

brightness()
color()
hue()
saturation()

Time

Changing ellipse size, location, stroke weight, background color by time parameters.

day()
hour()
millis()
minute()
month()
second()
year()

For Next Class

2 With the help of the tutorials above, please create you own combination of colors, shape, time, Processing’s movie input, and video camera input to create your own lighting phenomena. Please also use one new function not referenced in this tutorial from the Processing Documentation, such as text().

3 Document your lighting effects through videos and gifs. Extra bonus points for testing some light projection with a projector! Can you play with aspects of the room to get your projection to align with the space?

Some other useful tips

If you are looking for more examples — you can find some great things to try under File > Examples.

This brings up a lot of various examples which you can play around with and learn how different bits of code are functioning.

Some useful things to know about the code:

//these two slashes create a comment in your code

//print allows you to see the values of a parameter in the console. For example, the print below prints the second. If you add this in the draw loop you should see a continual printing of the current second.
print(second());

Bonus: Referencing Your Webcam (not required)

For help with a video tutorial, follow Daniel Shiffman’s tutorial:

To get started you will need this library to capture video feed from your camera: Sketch > Library > Import Library > Video Library

• Capture — captures live feed from a camera source or webcam
• Video — takes in a video source
• Capture and Video have the same functionality as a PImage

Some new concepts to understand. These Java functions require self referencing thru the use of this.

import processing.video.*;

Capture video;

void setup() {
 size(500,500); 
 video = new Capture(this,displayWidth,displayHeight,30);
 video.start();
}

void captureEvent(Capture video){
  video.read();
}

void draw(){
  background(0);
  image(video, 0, 0, mouseX, mouseY);
}

Referencing A Movie

To use the video referencing you’ll need to add your video file into a folder in your sketch folder named “data”.

import processing.video.*;

Movie video;

void setup() {
 size(1500,1500); 
 video = new Movie(this, "boat.mov");
 video.loop();
}

void movieEvent(Movie video){
  video.read();
}

void draw(){
  background(0);
  image(video, 0, 0);
}

Lighting with Processing was originally published in Measuring the Great Indoors on Medium, where people are continuing the conversation by highlighting and responding to this story.

Gifs from Videos or an Image Sequence

• If you take video or photos from a phone — these can easily be made into gifs.
• use video to gif if your video is too long you can trim it on a computer in Quicktime.
• for a sequence of photos use gif maker to create a gif.

Gifs from Screen Recording

There’s a number of ways to record a gif from your screen.

If you have a Mac:

• use Quicktime screencapture (keep it shorter than 10 seconds and a small portion of your screen)
• Trim the video in Quicktime to make it a smaller file
• turn the video into a gif using ezgif (you can also use Photoshop, but I feel this usually take too much time)

If you have Windows:

• Download a Screen Recorder of your choice.
• To install on school computers change the file type from .exe to .txt and move the file out of the downloads folder. Once your file is out of the downloads folder, change the file back to .exe and hit install. Sometime a firewall will prevent this, sometimes it seems ok.
• turn the video into a gif using ezgif (you can also use Photoshop, but I feel this usually take too much time)

How to Make Gifs was originally published in Measuring the Great Indoors on Medium, where people are continuing the conversation by highlighting and responding to this story.

wk 1 — Sensory Environments & Design Frameworks was originally published in Measuring the Great Indoors on Medium, where people are continuing the conversation by highlighting and responding to this story.

2020 Syllabus — Measuring the Great Indoors

Course Description

This course will explore techniques for working with data from the physical world, with the aim of understanding and manipulating dynamic, interactive environments. Students will use hardware (sensors, microprocessors, computer vision cameras), software (IFTTT and Processing), and their own powers of observation to characterize and design phenomenological aspects of “the great indoors.”

Investigating interior spaces and the range of human experience afforded by digital technologies is especially relevant right now. We are all home-bound, interacting primarily through video chats that flatten our 3D world to a 2D screen. Our investigations will explore how we can heighten our connection to the physical world, and each other, while we are stuck indoors. Our goal will be to design digital interactions — like spatial user experiences, or physical telepresence — that engage the five senses and all three dimensions.

Our “home base” for these investigations will be…our homes, which afford possibilities for connection across space and time. We will use data from the outside world, like weather or stock prices, to modify the indoor environment. And we will explore ways to connect with each other digitally beyond the screen.

While this course involves technical aspects of building science and digital technologies, our primary aim is to encourage students to consider dynamic spatial and environmental qualities in their design work.

Goals

• Understand and explore techniques embedding sensors and actuators in the built environment.
• Understand cybernetic systems and human computer interaction with the aim of reading and manipulating dynamic, interactive environments.
• Question how modern day digital systems (smart home sensors, Amazon Echos, Computer Vision Cameras, live projection, etc) influence habits, flows, cultures, and behaviors.

Course Content

The semester will be organized around short assignments that invite students to experiment with different tools, techniques, and ways of thinking. Lectures and lab sessions will provide the conceptual and technical basis for each assignment. Digital tutorials will review basic applications before moving to the complex. Some assignments will be individual; others will involve teamwork. Regular journal entries are encouraged to build habits of observation and reflection. Required and suggested readings will be posted to the course website, and discussed in class.

Course Website

The course website on Medium [https://medium.com/measuring-the-great-indoors] will be the hub for all course information and resources. Lectures, assignments and readings will be posted here, and students will upload their assignments to — and present them from — the site.

Course Materials

Students are expected to purchase their own materials for the course. See below for a shopping list of required hardware. Students may purchase additional hardware from the “suggested” list below, or speak to the instructor about other hardware that is not listed below. We recommend assembling the required hardware during the first weeks of the semester to allow time for shipping.

Hardware List

Required

• Computer (w/ sound and webcam)
• KASA smart plugs ($15)
• Projector — This projector — $50 OR This projector — $90

Suggested

• Phillips Hue or other smart light ($50)
• Wireless Tags or other sensor network ($65+)
• Amazon Echo or other smart speaker ($34)

Course Schedule

The schedule below is subject to change. Refer to the course website for the latest version.

Grading and Assessment

• This class involves experimentation, and students should be prepared for hardware failures, software bugs, and more. Assessment will be based on student effort and process in addition to the final product.
• Work is to be completed at the beginning of class on the due date and uploaded to Medium prior to the start of class. Late work may receive a reduced grade.
• Grades for groupwork are assigned to the group. On rare occasions, individual grades may be awarded for exceptional or deficient performance within a group. All group members must participate equally in group presentations.

Grading Criteria

Attendance

It is important that you attend every class. Regular attendance is necessary to understand the material and successfully complete the assignments.

An absence is “excused” if you are sick and submit a doctor’s note, or have a serious issue that causes you to miss class, such as a family emergency. All other absences are “unexcused.” Students may have up to two unexcused absences per semester. Students with three or more unexcused absences will have their final grade reduced, and may fail the course.

If you know in advance that you will be absent for any reason, email the instructors to make arrangements to complete make-up work.

Policies and Academic Integrity

• If you require an accommodation for a disability, please let the instructor know as soon as possible. Some aspects of the course may be modified to facilitate your participation and progress.
• All students are held to the academic policies of the University.
• In this course we will work in a collaborative and open manner freely sharing information, ideas and resources. However, assignments and presentations that are indicated as individual efforts must adhere to a high standard of academic integrity. In any case, in any context, representing another’s work as your own is dishonest.
• Students who miss deadlines due to valid extenuating circumstances may submit the required work at a later date, as agreed upon with the instructor. University regulations limit such circumstances to serious personal illness and death in the immediate family. Unexcused late projects will not be accepted. Incomplete projects will be evaluated in relation to their degree of completion, and a student will be allowed to present such work only with instructor approval. Lectures and demonstrations cannot be repeated. There is no excuse for late submittals, late attendance at reviews or pin ups, due to printer or computer problems. You have to organize your output ahead of time or find other resources outside the college to complete your work on time. Late work will be accepted only at the discretion of the instructors and is subject to a 5% grade deduction for every 24 hours past the deadline.

Resources

The texts below will be on reserve in the Library. Required and suggested readings are noted in the Course Schedule. PDFs of readings will be posted to the course website.

Computing

• Samuel Greenguard, The Internet of Things (MIT Press, 2015)
• Malcolm McCollough, Digital Ground: Architecture, Pervasive Computing, and Environmental Knowing (MIT Press, 2005)
• Dan O’Sullivan and Tom Igoe, Physical Computing: Sensing and Controlling the Physical World with Computers (Thompson Publishing, 2004).
• Casey Reas and Ben Fry, Processing: A Programming Handbook for Visual Designers (MIT Press, 2014)

Architecture and Urban Design

• Stewart Brand, How Buildings Learn: What Happens After They’re Built (Penguin Books, 1994).
• Mark Weiser, “The Computer of the 21st Century,” Scientific American, September 1991. [link]
• Kazys Varnelis, Networked Publics (MIT Press, 2012)
• Keller Easterling, The Internet in 4D
• William H Whyte, The Social Life of Small Urban Spaces (The Conservation Foundation, 1980).

Design

• Anthony Dunne and Fiona Raby, Speculative Everything: Design, Fiction and Social Dreaming (MIT Press, 2013)
• Yvonne Rogers, Helen Sharp, and Jenny Preece, Interaction Design: Beyond Human-Computer Interaction (Wiley, 2011)
• Donald Norman, The Design of Everyday Things (Basic Books, 2002)
• Bill Moggridge, Designing Interactions (MIT Press, 2007)
• Sara Hendren, What Can a Body Do? How We Meet the Built World (Riverhead Books, 2020)

Sensory Phenomena, Building Science

• James Gibson, “Affordances,” in The Ecological Approach to Visual Perception (Routledge, 2014)
• Barbara Erwine, Creating Sensory Spaces: The Architecture of the Invisible (Routledge, 2016)
• Lisa Heschong, Thermal Delight in Architecture (MIT Press, 1979)
• Daniel Barber, Modern Architecture and Climate: Design Before Air Conditioning (Princeton Architectural Press, 2020)

2020 Syllabus — Measuring the Great Indoors was originally published in Measuring the Great Indoors on Medium, where people are continuing the conversation by highlighting and responding to this story.

Connected Historical Preservation with new IoT technologies.

I am a student at Columbia University in the GSAPP Department. I am studying Historic Preservation to help in preserving, conserving and protecting significant historical buildings. I chose to participate to the “Measuring the Great Indoors” module lead by Gabrielle Brainard and Violet Whitney as this class is relative to my thesis topic: “Designing and Evaluating Sensory Technologies for Interpretation of Heritage”.

This course allows me to have a new approach of the architectural space by using IoT tools, and it was also a wonderful occasion to link Historic Preservation with technologies.

Historic Preservation is a field mostly turn toward the past and it is our duty as new generation to bring our profession to the future, and then improve our methodologies.

Along this courses I experimented some approach related to stained glass preservation first and I decided to enlarge my subject and create a Sensory Booth ! What is a Sensory Booth ?! Let’s go discover this together !

From the beginning I had some ideas in my mind about what I wanted to do during this class. Some about architecture and design, some about technologies and some about preservation. It was not a small feat to organize all these idea in a unique project.

I thought about “How influence people behavior to help Historic Preservation ?” So, I decided to identify the key point of what I want in my project and their definition according to expert opinion. I identified 3 main subjects :

Cultural heritage awareness: According to the “UNESCO World Heritage in Young Hands, 2002" one of the objectives of preservation is to promote intercultural understanding and exchange among young people, to promote an awareness of the importance of the World Heritage Convention and to involve young people in World heritage conservation.

Protection: the protection of cultural heritage property shall comprise the safeguarding of and respect for such property. (UNESCO’s Convention for the protection of Cultural Property in the Event of Armed Conflict with regulations for the execution of the convention, 1954)

Maintenance: consist of regular inspections of a monument or a site and may involve small-scale treatment. (Conservation Management Planning : Putting Theory into Practice, The Case of Joya de Ceren, El Salvator — Getty Conservation Institute 2009)

According to these definition the expected behavior change should be to:

• Create Awareness sentiment
• Avoid mass tourism
• Help in the maintenance

My inspiration for the sensory booth :

(stained glass reflection, awareness, create a intimacy space, an experience, involve all senses, have feedback about the experience to improve it)

How it works ?

Even if this box seems small, it’s bigger on the inside!!! (Doctor Who, 2005)

This box involve Sight, Hearing and smell using diffuse, project and speaker which are connected to motion detection and turn on when you enter in the box to recreate fully atmosphere ! Box also contain variety of captor (lightness, color, temperature, humidity) to be use as well as maintenance tool as data collector.

Finally you can leave you feedback using connected interface! (and its only the beginning!)

Well Well Well… I designed my prototype, programming arduino and processing, create all my IFTTT Applet and install all the Connected devices and build the box.

It’s Exhibition TIME !!!

I organized an Exhibition 18th November in Room 504 in Avery. Everyone was welcome to try the box and share comment around pizza slices.

It was an amazing experience full of surprise and rich of feedback ! Arround 40 students mainly from architecture studio came, intrigate by this curious red box (first challenge success !) They tried the experience and give me their feedback.

Please find below the user experience process :

Visitors Feedback

During the November 18th exhibit, around 40 people tried the sensory booth and I collected 32 digital feedback available on Google Drive and 23 manuscrit feedback (as show below).

I analyse feedbacks with paralleldot API and it seems that people appreciate a lot sensory booth ~62% positive vibes !

I used these feedback to know how to improve my project.
One of the recurrent criticisms in the comments is that the box is not isolated enough, therefore, outside noise interferes with immersion. To fix this I decided to used headphone to isolate visitor from the exterior noise.

I really appreciate to work on this project and I would like to go deeply in this experience, however one semester is not enough.

Nevertheless I would like to share with you my ideas:

Annexes

Code Arduino

/*
// TCS230 color recognition sensor 
// Sensor connection pins to Arduino are shown in comments
Color Sensor Arduino
 — — — — — — — — — — 
 VCC 5V
 GND GND
 s0 8
 s1 9
 s2 12
 s3 11
 OUT 10
 OE GND
*/
// Color Sensor TCS3200
const int s0 = 8; 
const int s1 = 9; 
const int s2 = 12; 
const int s3 = 11; 
const int out = 10;
// Ultrason telemeter
const int trigger = 7; 
const int echo = 6; 
int dist;
//Button
const int b1 = 2; 
const int b2 = 3; 
const int b3 = 4; 
const int b4 = 5; 
const int b5 = 6; 
const int b6 = 7;
// Variables 
int red = 0; 
int green = 0; 
int blue = 0;
void setup() 
{ 
 Serial.begin(9600); 
 //Setup Color Sensor TCS3200
 pinMode(s0, OUTPUT); 
 pinMode(s1, OUTPUT); 
 pinMode(s2, OUTPUT); 
 pinMode(s3, OUTPUT); 
 pinMode(out, INPUT);
 digitalWrite(s0, HIGH); 
 digitalWrite(s1, LOW); 

 //Setup Ultrason Telemeter
 pinMode(echo, INPUT);
 pinMode(trigger, OUTPUT);
//Setup Buttions
 pinMode(b1, INPUT);
 pinMode(b2, INPUT);
 pinMode(b3, INPUT);
 pinMode(b4, INPUT);
 pinMode(b5, INPUT);
 pinMode(b6, INPUT);
} 

void loop() 
{ 
 //color();
 //distance(); 
 Serial.print(red, DEC); 
 Serial.print(“;”); 
 Serial.print(green, DEC); 
 Serial.print(“;”); 
 Serial.print(blue, DEC);
 Serial.print(“;”); 
 Serial.print(digitalRead(b1), DEC); 
 Serial.print(“;”); 
 Serial.print(digitalRead(b2), DEC); 
 Serial.print(“;”); 
 Serial.print(digitalRead(b3), DEC); 
 Serial.print(“;”); 
 Serial.print(digitalRead(b4), DEC); 
 Serial.print(“;”); 
 Serial.print(digitalRead(b5), DEC); 
 Serial.print(“;”); 
 Serial.println(digitalRead(b6), DEC);
delay(100); 
 } 

void color() 
{ 
 digitalWrite(s2, LOW); 
 digitalWrite(s3, LOW); 
 //count OUT, pRed, RED 
 red = pulseIn(out, digitalRead(out) == HIGH ? LOW : HIGH); 
 digitalWrite(s3, HIGH); 
 //count OUT, pBLUE, BLUE 
 blue = pulseIn(out, digitalRead(out) == HIGH ? LOW : HIGH); 
 digitalWrite(s2, HIGH); 
 //count OUT, pGreen, GREEN 
 green = pulseIn(out, digitalRead(out) == HIGH ? LOW : HIGH); 
}
void distance()
{ 
 digitalWrite(trigger, LOW);
 delay(2);
 digitalWrite(trigger, HIGH);
 delay(10);
 digitalWrite(trigger, LOW);
 dist= pulseIn(echo, HIGH) / 60.0;
}

Code Processing

import http.requests.*; // import from the library (tool box) to send a request to IFTTT (part ‘This’)

import processing.serial.*; // import library to communicate with Arduino

// Define some parameters to communicate with Arduino
Serial myPort; 
int port = 1;

float RED;
float GREEN;
float BLUE;
float DISTANCE;
boolean FlagColor = false;

// IFTTT Applet ID
String apiKey = “ot7veRhSfxbEm4sTREt8kVnxjt6kCGXjza0ZnvzuA19”;

//Name of the application (events name) IFTTT
String eventName1 = “stained_glass_too_dark”;

void setup(){
 println(“Liste des ports: \n” + Serial.list());
 String nom_du_port = Serial.list()[port];
 myPort = new Serial(this, nom_du_port, 9600);
 //myPort = new Serial(this, Serial.list()[2], 9600);
 //Setup the connexion with Arduino
 myPort.bufferUntil(‘\n’);
}

void draw() { 
 // If the flag is ‘OK’, then we send a request to IFTTT in order to send a Messenger alert
 if(FlagColor == true){
 GetRequest get = new GetRequest(“https://maker.ifttt.com/trigger/" + eventName1 + “/with/key/” + apiKey);
 get.send();
 println(“Color Request sent”); 
 FlagColor = false;
 }
 else if(FlagMotion == true){
 GetRequest get = new GetRequest(“https://maker.ifttt.com/trigger/" + eventName2 + “/with/key/” + apiKey);
 get.send();
 println(“Motion Request sent”); 
 FlagMotion = false;
 }
 //Else, if the flag is not ‘OK’, so nothing happens
 else{
 println(“…”); 
 }
 delay(1000);
}

//Each time that data transit via serial; launch this function
void serialEvent (Serial myPort) { 
 String inString = myPort.readStringUntil(‘\n’);
 print(inString);
 if (inString != null){
 inString = trim(inString);
 int inputs[] = int(split(inString,’;’)); //Read arduino data (RGB)
 
 // on affecte nos 3 valeurss
 if(inputs.length == 4){
 RED = inputs[0];
 GREEN = inputs[1];
 BLUE = inputs[2];
 DISTANCE = inputs[3];
 if(RED + GREEN + BLUE < 100){
 FlagColor = true;
 }
 if(DISTANCE < 10){
 FlagMotion = true;
 }
 }
 }
}

References

Sensory Booth — Preservation tool was originally published in Measuring the Great Indoors on Medium, where people are continuing the conversation by highlighting and responding to this story.

Start with the intention to encourage people to open the window in the studio, and breathe more fresh air.

Hypothesis:

1, Every building has a smart management system

2, Personification of everything

Question:

1, Can each building has a unique character?

2, What if the metric of the building management system collides the feelings of humans?

3, How should the building management system interact with humans?

Our feelings towards them…

So, What constructs the character of the building management system?

User Test…

1, Act

2, Notify&Act

3, Consent&Act

4, Vote&Act

5, Persuade

Interesting User Insights:

1, “Notify-Act reminds me of my Mom. How she peels off fruit and reminds me to eat it.”

2, “Act without asking is irrespective for humans, but not for the AI. I know it will do good for me”

3, “No matter what, whether I have the right to overwrite AI is the most important”

It depends on whether it’s a public or private condition, whether the AI has built trust with you, and which type of action it is going to make.

Under the “Persuade” scenario, how people feel about different personalities?

No. 1 Plain persuasion

No. 2 Telling you the fact

No. 3 Social Reward

No. 4 Idealistic Reward

No. 5 Humor

No. 6 Show Judgement

No. 7 Personal Reward

No. 8 Polemical

No. 9 Threat

Interesting User Insights:

1, “Whether being Polemtical will work or not depends on how frequent you say that word ‘fuck’”

2, “I trust AI, it’s probably developed by someone more intelligent and considerate”

3, “I don’t trust what AI says”

Beyond Alexa_Qi was originally published in Measuring the Great Indoors on Medium, where people are continuing the conversation by highlighting and responding to this story.

Reading/Discussion: Privacy was originally published in Measuring the Great Indoors on Medium, where people are continuing the conversation by highlighting and responding to this story.

Where do they collect data? What data they are collecting? What will the data be used? Who decides?

1, The purpose of the data

Data should be like commons, everyone contributes and benefits from it.

Whether data is used for researches that benefit public good or used to exploit us is very different. If it’s the latter, we will end up with data oligarch and monopoly eventually.

2, The ownership of the data

Data should be public, or at least very cheap, or have different licenses in terms of commercial use, research or personal interests

3, Whether the data will be stored permanently? Can we forget? (link NYC only store data for 7 days)

4, Is the user fully aware of how their data will be used and has the right to turn it off?

Nov 12nd Reading Response-Qi was originally published in Measuring the Great Indoors on Medium, where people are continuing the conversation by highlighting and responding to this story.

Deployment was originally published in Measuring the Great Indoors on Medium, where people are continuing the conversation by highlighting and responding to this story.