2018-10-07

LukeKebernik_BoyuDou_QingqingYang_ArtificialAutomations_FinalPaper



RMIT Architecture Elective – Artificial Automations Final Paper

Luke Kebernik – Qingqing Yang – Boyu Dou

The effects of Mind Reading and Sensors within the field of Architecture. 

Abstract

"On Elysium, there are many robot servants, and they serve you all day. If you live there, you never get sick or old." Automation in today’s society has, and throughout history, always played a role in being a hero in achieving a utopian world where robotics and automated processes rule our world, making life easier for the billions of people living on earth. However, there is a lot to consider when it comes to the automation of our everyday lives, as the affects have both tremendous negatives and significant positives. These responses to automation have been heavily scrutinised throughout the 20th century, primarily through popular culture such as sci-fi films. The speculation created in these films portrays a futuristic world, not only positively affected by robots, but a lot of social conditions amongst people. The 2013 film, Elysium, we see a great example of how automation portrays the current trend of automation in modern day society. Although the film epitomises a potential future with how we live with robotics and automation, many automated processes which exist currently in society greatly affect the way in which we live and operate from the day to day and this is present in most industries. Primarily, as seen in the film, the area of medical imaging significantly plays a crucial role in our lives. To narrow this down further, more specific to an industry that significantly affects the way in which we live and occupy space, architecture; we are seeing a subtle yet growing shift in the way automation starts to play a role in the design of buildings and how architects use automation to aid their designing. The main question raised is how can architecture recognise and adapt to a human’s physical & psychological needs? 

Mind Reading in Architecture

The use of automation is present in all aspects of life and it defines how life with automation can be both positive and negative for humans. Using a few specific examples of automation in the film, we can see the social effect it has on humans. Starting with the positive aspects, the technology in the film from the medical point of view is extremely positive. The robotic machines basically replace doctors, covering diagnostics to treatment, resulting in all disease being curable and detectable from lymphoma to radiation poisoning thus resulting in infinite life for the wealthy. This exemplifies the use of robotics and technology in modern day society with machines such a MIR scanning which can read brain waves and make 3d models of the human brain, detecting and diagnosing a potential illness to the human. The technology of mind reading has started to play a substantial role within society today, from helmets which can read your thoughts syllable by syllable. This is the key motivating factor for the protagonist of the Elysium to travel to Elysium since his health is deteriorating; however, this is only accessible for the upper-class population on Elysium. This brings us to the negative side of automation in this world. In the scene with the automated parole officer, the use of a programmed automatic response shows us how such a response and decision to the protagonist’s parole is made regardless of reason and explanation. This highlights how automation can negatively influence decisions for people since the robots aren’t programmed with any emotion for varying train of thought. The overall theme drawn from this involves mind reading and diagnosing technology, whether it be medical or many other aspects of life. The programs of these robots are determined by the rich owners of the robots who live on Elysium who essentially are the dictators of earth and make all the decisions for what happens on earth. So this also raises a whole political and economic argument towards automation in architecture, but this would start to deviate away from the pure design of a space, and the role of the architect.

Figure 01: The MedBed from the film Elysium, 2013
How can the role of mind reading, and medical imaging play a role in architecture? As portrayed in the film, the Med Beds, play a huge role in society, so we can start to understand how this can be utilised within architectural design. What can we understand about the brain of the architect as he or she designs a building? The interface between man and machine replaces the reality of buildings and social ground. Social structures have been deeply affected by technological intensity, where the deportation of people and elimination of human confrontation brings social concentration to a post-urban, or transnational world.[1] With mind reading coming into play within architecture, there have been many studies conducted in regard to how the brain of an architect operates. We are proceeding from models of the eye and ear to models of thought processes and conceptual structures in the brain.[2]

The most influential work of mind reading within the architectural field is Marcos Novak, who is an architect, artist, composer, and theorist who employs algorithmic techniques to design actual, virtual and hybrid intelligent environments, for instance, thinks of this new world of potential workspaces as one to be perceived via sensor. Marcos Novak had created a digital, virtual cyberspace of his very own brain which enabled people to be able to see the thoughts and ideas being created within his head. “in order to communicate in virtual worlds, one must know how to build structures and activate processes inside another person’s brain.”[3] If one considers that thoughts and images only exist in the brain, cyberspace then emerges as nothing but an extension of our mental space. It is actually an extension of our consciousness.[4] The matrix of structures, or Novak’s algorithms, as drawn from his brain, functions as new diagram: a non-linear array of information. The exploration of these territories the traveling in data space is what transforms the act of viewing in experience, in sensory experience. So we can start to gather information from the creative aspect of the architects brain. Building design can become more consciously based in evidence of how and why the brain responds to particular features of architectural space. Far from stifling the creative process of architectural design, insights from brain research should yield richer, more rewarding outcomes.[5] 

When it comes to automation in architecture, once again, there are opposing opinions which both pose positive and negative connotations to the way in which architecture is executed in modern day society. Much like many other jobs and industries being swallowed by automation, architecture is a very debatable industry in terms of artificial intelligence. The idea of automation taking over the architecture industry makes us question the role of the architect in the design and construction of a building. The architect, whether a team of or an individual, is the champion in the design of a space for people, so the overall thinking process of the architect, with today’s technology, has yet to be completely replaced with artificial intelligence since the architectural thinking process prevails as the mastermind of the design of space. The significant aspect of architecture which has been greatly affect by automation, is how an architect executes a design, from the subtle processes mentioned earlier, to the design stage, and all the way to the physical construction of the building or space. Each step of the delivery of a building has a role of automation present, and the architect merely is the governing body of the automation in each step. Architects won’t simply be eliminated from the industry, but the role will be augmented to similar scale as seen in the Elysium where the operators of technology prevail in society. For example, the use of such software like Grasshopper substantially increases the productivity of design through mathematics and algorithmic design. Such forms of design have been utilised in the past, but not to the scale by which it is done today.

The next step, with regards to mind reading technology and medical imaging, would be to implement such a technology within the field of architecture. Mind reading technology, mentioned earlier, could be utilised to be able to read the mind of a client, who is trying to envision their space. There is usually disparity between the mind of the architect and the mind of client and their brief, so this could potentially be a solution to solve the disproportion between each party’s thoughts and visions. This raises the question of the role of the architect within the design process of this space. Does the architect still dictate the design and add improvement to the client’s intended brief or do they merely run the mind-reading software which the client is using? What can we understand about the brain of the client as the architect is given the role to design a building based on their brief?

Sensors in Architecture

Further to how certain technologies can be implemented into architecture, through the utilisation of medical automation, there are many sensors which can be used to help architecture. What are the different types of sensors which can be used based off the data from our brains? Similar to mind mapping and brain scans, we can read a human in many other ways. For example, our facial expression and our body gestures? The sensors used today, and which can be used in the future are the first step to how we could potentially see the future of architecture involving sensor technologies.

First, how can a building detect what we need when we enter a space through the use of sensors? Especially how our body gestures affect & interact with the environment of the building? Then that will involve the role of motion detector, a motion detector is an electronic device which is used to detect the physical movement (motion) in a given area and it transforms motion into an electric signal, motion of any object or motion of human beings. Motion detection plays an important role in the security industry. Businesses utilise these sensors in areas where no movement should be detected at all times, and it is easy to notice anybody’s presence with these sensors installed. These are primarily used for intrusion detection systems, automatic door control, Boom Barrier, Smart Camera (i.e. motion based capture/video recording), toll plaza, Automatic parking systems, Automated sinks/toilet flusher, hand dryers, energy management systems (i.e. automated lighting, AC, fans, appliance control) etc.

On the other hand, these sensors can also decipher different types of movements, making them useful to communicate with the system by waving a hand or by performing a similar action. For example, someone can wave to a sensor in the retail store to request assistance with making the right purchase decision.[6]

Moreover, to detect our emotions, the 3D Facial Recognition Sensor could definitely do the job. As we all noticed that, an emerging feature in mobile communications is to unlock smartphones by 3D face recognition instead of fingerprint or PIN. Making authentication more convenient and more secure, it may soon become indispensable for mobile payment applications and mobile ID. Together with its innovation partner PMD technologies AG, Infineon has developed a new 3D image sensor in its REAL3™ chip family, based on Time-of-Flight (ToF) technology. It enables the world’s smallest camera module for integration in smartphones with a footprint of less than 12 mm x 8 mm, including the receiving optics and VCSEL (Vertical-Cavity Surface-Emitting Laser) illumination. Image and video sensors have thrived in the golden age of smartphones, making steady advances in areas such as fast auto-focus, low-light sensitivity, and back-illuminated pixel arrays. And now the powerful combination of image sensors and vision processors is opening up new possibilities in the areas of automotive safety, biometrics, and medical.

Today’s CMOS image sensors incorporate highly-adaptive pixel designs that can intelligently sense, rather than merely capture the imaging data, while being paired with intelligent vision processors. Take biometric applications like facial recognition. Omron launched its Human Vision Component (HVC) module back in 2013 and has advanced it since then through better components as well as improving upon its underlying OKAO face-recognition algorithm. It is now at the point where they can be used to track different facial points to interpret micro-expressions and eye movements, as well as recognize human emotions, moods, and even intentions.[7]

As we all known, human beings acquire 80% - 90% of outside information from our eyes. Humans’ visual perception information can be acquired through eye gaze tracking; therefore, pupil and glint would be very important for our buildings to utilise a form of mind reading, or in this case, gesture reading and overall ‘human body’ reading.  With the increasing development of computer/machine vision technology, gaze tracking technology has been more and more widely applied in fields of medicine, production tests, human-machine interaction, aviation military, etc. As one of traditional gaze tracking methods, the pupil centre-corneal reflection (PCCR) technique has been developed and improved increasingly in recent years. Pupil and glint (corneal reflection) centre detection plays a crucial role on gaze tracking methods based on PCCR. There are always interference factors such as eyelashes, eyelids, shadows and natural light reflection in the images acquired by a CCD camera, which will cause false boundary points around pupil contour. In order to ensure the accuracy of gaze estimation, robust and accurate method of pupil and glint detection is essential.[8]

A novel and robust method of pupil and glint detection using wearable camera sensor and near-infrared LED array for gaze tracking system is proposed in this paper. Compared with original Starburst, the proposed circular ring ray location (CRRL) method has higher stability, accuracy and real-time quality. This method overcomes the location uncertainty of initial shooting point of rays. The process of shooting rays back towards the start point to collect more pupil boundary points is omitted. RANSAC is also omitted for the reason that the interference points can be eliminated effectively. Pupil centre can be detected accurately when interference points are located on or around pupil contour. Improved Otsu method is employed to acquire the eye’s binary image. Part of the remainder interference factors (including eyelashes and eyelids) are eliminated by opening-and-closing operation with structure elements of different size. Projections of 3D grey-level histogram are utilized to estimate rough pupil radius and centre position. The circular ring area is determined by provisional pupil radius and centre. A series of rays with equal gap are shot from the inner to outer ring to detect pupil boundary points by calculating gradient amplitude. Gradient amplitude of each pixel is used to eliminate false boundary points. Spline interpolation is performed on the neighbourhood of boundary points to obtain sub pixel-precise ones. Improved total least squares is developed to fit ellipse and then pupil centre position is calculated through elliptic equation fitted. Because the grey levels of glint pixels are higher than anywhere else, rough glint region is estimated by binarisation with a fixed threshold level. According to glint’s illumination intensity (suited for Gaussian distribution), Gaussian function deformation solved by improved total least squares is utilized to calculate glint centre.[9] 

The Effect on Architecture 

Humans are developing artificial intelligence as we think and it will largely influence our future life in many aspects. Various products of artificial intelligence are emerged in all kinds of fields, including architecture. If we put the same willing to make robots, imagine how we can capture what humans think in real-time and respond accordingly in an architectural field, that being responsive architecture coming into human’s sight. Lots of researches and practices are emerged based on response to human’s needs. Currently, architecture only goes forward to response to environmental changes. But with the advanced technology in medical field, which scientists are developing mind mapping to automatically perceiving human’s psychological feeling, we can positively imagine the future with architecture response to human’s physical and psychological feelings accurately.

By now, the current technology hasn’t deeply combined the mind mapping technology with architecture, while it emerges a widespread use of sensors to let the architecture respond for human’s need. Instead of detecting human’s physical and psychological feelings immediately using sensors, architect and engineer focuses their point on architecture responses to environmental change. Not discussing the sensor used for fire alarming, air conditioner adjustment, which belong to building system charged by engineering field, but the architecture which sensors, to some extent, dominate the design.

The sensor applies in nowadays architectural practice and research is followed by Responsive Architecture[10]. Sensors play the role to collect the surrounding conditions, drives the architecture to adapt their forms, shape, colour responsively. Responsive architecture distinguishes itself by incorporating artificial intelligent and responsive technologies into the core elements of architectural fabrics. This forces architects to reconsider the way they construct the space while to advance the design logic rather than applying patchworks of intelligent technologies to an existing building. This architectural field was first proposed by Nicholas Negroponte in late 1960s. In his work, Negroponte proposes that responsive architecture is the integration of computing power into built spaces and structures. He also extends this belief to include the concepts of intention, recognition, meaning, and contextual variation into computed responses and their successful integration into architecture.

Since Negroponte’s contribution[11], new works of responsive architecture have also emerged, but more as aesthetic design. The works of ‘Aegis Hypo-Surface’ by dECOi , ‘Blur’ by Diller & Scofidio, and ‘The Freshwater Pavilion’ by NOX are all in the types of responsive architecture. Each of these works monitors fluctuations in the environment and alters its form in response to these changes.

The Aegis project consists of an interactive mechanical surface that deforms in real-time based on various environmental stimulations, including the sounds, weather, electronic information and movements of people. It incorporates a matrix of actuators, which are given positional information by an efficient bus system as well as a set of electronic sensors used to trigger a variety of mathematical deployment programs.

Figure 02: Aegis Hypo-Surface, USA, 2000
Changing the form by human’s movement

The Blur Building creates a fog mass resulting from natural and manmade forces. Water is pumped from Lake Neuchâtel, filtered, and shot as a mist through 35,000 high-pressure nozzles. A smart weather system reads the shifting climatic conditions of temperature, humidity, wind speed and direction and regulates water pressure at a variety of zones.


Figure 03: Blur, Switzerland
Looking at the precedent projects, they remain worthy targets for design efforts, but they do not take into account more recent developments within the fields of robotics and artificial intelligence that are used within responsive systems today. 
Combined with mind reading technology in medical research, architecture may have the possibility to respond to human’s psychological needs. Human’s psychological feeling, like the needs for different functions of space, the quality of space and inner environment can be detected by sensors and to drive the adaption of architecture to response these needs. The sensors detect human’s facial expression, body movement, gesture and the mind radio wave may better grasp users subconscious mind thought, understand better than themselves, they can transmit these message to the computer system, further analyse the preference of users, make prediction to their following psychological needs, and give quick feedback to let the architecture change before you generate that kind of feeling.

When it develops to that stage, the role of architecture will change correspondingly. Architect can easily understand what their client really wants without have meetings for many times to communicate for the same consensus. The previous works can be easier to collect useful information from clients. However, the following stages may have some tasks. Architecture is not only serves for their costumers, but also need to response to social, urban economic environment. Comply with the trend of responsive system, architect needs to incorporate more changeable aspects to drive their design. How to balance the importance of each elements, how to design an ever-changing prototype to satisfied different needs of users are those which architect needs to make great efforts in.

Conclusion

Architecture, as designed to serve humans, ought to develop to satisfy human’s physical and psychological feelings. The development of artificial intelligence, especially the field of medical field - to obtain human’s psychological feelings, has the great potential in architecture that can pump the current theory in responsive architecture to instantly respond to a human’s feelings, rather than the surrounding environment. The mind mapping technology can also be applied in the design stage, which would build a better relationship with client and architect. When mind mapping develops maturely to apply in the field of architecture, it will bring a tremendous influence in architecture.

References



[1] Virilio, “The Overexposed City,” Pages 276-83.

[2] Bill Viola, “Will There Be Condominiums in Data Space?” Multimedia: From Wagner to Virtual Reality, eds. Randall Packer and Ken Jordan (New York: W.W. Norton & Company, 2001), 287-98.

[3] Marvin Minsky, “The Future Merging of Science, Art, and Psychology,” Ars Electronica: Facing the Future, eds.
Timothy Druckrey with Ars Electronica (Cambridge: The MIT Press, 1999), Pages 229-33.

[4] Peter Anders, “Anthropic Cyberspace: Defining Electronic Space from First Principles,” LEONARDO 34 n.5 (Cambridge: The MIT Press, 2001): 409-16.

[5] Website: http://www.dana.org/Cerebrum/Default.aspx?id=39180

[6] Website: https://www.finoit.com/blog/top-15-sensor-types-used-iot/

[7] Facial-recognition sensors adapt to track emotions, mood, and stress Patrick Mannion - March 03, 2016

[8] Point of Gaze Estimation through Corneal Surface Reflection in an Active Illumination Environment Atsushi Nakazawa, Christian Nitschke

[9] Website: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4721713/

[10] Responsive architectures are those that measure actual environmental conditions (via sensors) to enable buildings to adapt their form, shape, colour or character responsively (via actuators).
[11] “The Architecture Machine”, 1970; “The Soft Architecture Machine”, 1975; and his multiple papers entitled “The Semantics of Architecture Machines”, of 1970

Figures


Figure 01: 

Screenshot from Elysium, Film, 2013

Figure 02: 

https://decanteddesign.com/2016/01/08/hyposurface-a-concept-prototype-of-a-dynamic-display-system-from-decoi-architect-boston-it-is-now-being-developed-by-an-international-team-of-consultants-see-blogroll-for-a-link/

Figure 03: 

https://www.atlasobscura.com/places/blur-building-architecture

Other References



1.     Sterk, T.: 'Thoughts for Gen X— Speculating about the Rise of Continuous Measurement in Architecture' in Sterk, Loveridge, Pancoast "Building A Better Tomorrow" Proceedings of the 29th annual conference of the Association of Computer Aided Design in Architecture, The Art Institute of Chicago, 2009. ISBN 978-0-9842705-0-7

2.     Building Upon Negroponte: A Hybridized Model of Control Suitable for A Responsive Architecture , Tristan d’Estrée Sterk (2003)

3.    Toward Responsive Architectures By Philip Beesley, Sachiko Hirosue and Jim Ruxton