In the Bubble: Smartness
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Presentation about the chapter Smartness of In the Bubble by John Tackara
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In the Bubble: Smartness
- 1. H9 - Smartness In the bubble – John Tackara
- 2. Intro • Smart or dumb? VS
- 3. Intro • Feature drift = Een belangrijke feature die verloren gaat door het complexe geheel, waardoor de gebruiker het opgeeft. • Tackara’s Law “If you put smart technology into a pointless product, the result will be a stupid product.” • Law of diminishing amazement (LODA) “states that the more fancy tech you pack into a product, the harder it becomes to impress people with its benefits.”
- 4. Biomimicry • Imiteren van natuurlijke design modellen Spinnenweb versus Kevlar
- 5. Biomimicry • Waarom maken we nog altijd veel fouten? Te veel en te snelle ontwikkeling • Onderzoekscentra zijn te kortzichtig (jonge studenten in lab met oudere ingenieurs = nieuwe oplossingen) “We can deliver amazing performance, but we are increasingly at a loss to understand what to make and why.”
- 6. Materials of Invention • Vele verschillende materialen beschikbaar • Meer onderzoek naar verschillende materialen doen • Smart architecture
- 7. Lightness • Property of quality • Shape is cheap, materials are expensive => Elk organisme gebruik de bruikbare materialen op de meest effectieve manier • „If an organism needs less energy than its neighbor, it will have more offspring and will be easier to reproduce” • Also lightness in recycling, assembling, producing,… • Lightness != less matter Lightness = Use of matter more effectively
- 8. Lightness • e.g skyscrapers
- 9. Man made smartness • Te complexe oplossingen voor simpele problemen. • Doel voor ingenieurs: Zo simple mogelijk houden (hoe complexer, hoe meer kans op fouten) • Software: modulair opbouwen (-> vanuit immuunsysteem) • “Man-made smartness can be awfully dumb.”
- 10. Learning, not copying • “We should learn from nature, not copy“ • Kopiëren gaat niet want de natuur staat niet stil • Leren over principes van recycleren, materialen, warmte, … • Once we learn about materials -> we can incorporate it into other materials (New materials aren’t „found”, we engineer them) • Vb: hardheid van hout vs plastic
- 11. Bodies in the network • Weinig bewust van de huidige technologische mogelijkheden • Borg Drift = Passive acceptance of technologies into our bodies thanks to convergence without awareness • cloning artificial livers and kindneys • Protheses controlled by the brain
- 12. Bodies in the network • De afstand tussen mens en het systeem wordt kleiner • Dokters stoppen sensors in het lichaam voor constante feedback van patient • PAN = Personal area network => wearables zullen, door kleine stroom schokken door het lichaam, met dingen die je in je hand houdt communiceren (sensors -> gsm, voordeur openen met lichaam, …)
- 13. AmI - ambient intelligence • Ambient Intelligence gaat verder op pervasive intelligence and human-centered interaction • Technologie in alledaagse objecten, voor alledaagse activiteiten • Met het doel het leven te verbeteren • Een visie op te toekomst e.g. Drunk-driving prediction Intel: Software which gives us answers before we actually require them
- 14. AmI - ambient intelligence • embedded: many networked devices are integrated into the environment • context aware: these devices can recognize you and your situational context • personalized: they can be tailored to your needs • adaptive: they can change in response to you • anticipatory: they can anticipate your desires without conscious mediation.
- 15. Kritiek op AML • Technologie werkt nooit 100% onder alle omstandigheden • We weten nog te weinig over de gevolgen
- 16. People Will Always Be Smarter • Zeroing Out • Menselijke interactie en kennis kunnen niet altijd worden vervangen • Lisa van Belgacom • Ticket automaten • Oudere mensen • Mensen van andere origine • Geen middelen • …
- 17. • IVR systems : 10% User Satisfaction • Face-to-face: 80% User Satisfaction • Quality of service > Quality of goods • AML -> might be further away than we think
- 18. Conclusie • We kunnen veel leren van de natuur en de evolutie (hoe we ons warm moeten houden, hoe we eten eten moeten vinden, … • Technologie kan voor een verbetering zorgen. MAAR • Een juiste manier van observeren en leren en gebruik maken van kennis is belangrijk. • Evenwicht vinden tussen menselijke interactie en technologisch interactie.
Editor's Notes
- Welke van beide zou het slimste moeten zijn, hetgene uit gevonden door de mens of een vogel? Digitale thermometer die het huis op temperatuur houdt , gemaakt om “Smart” te zijn is 10 000 keer minder efficiënt dan de vacht van een pinguïn , die eigenlijk maar een “domme” vogel is. “Ubiquitous computing spreads the appearance of intelligence and connectivity to more or less everything.”
- Maakteen chip in een product het werkelijk beter? => discussiepunt Feature drift: groot gat tussen de functionaliteit van technologie en de waarde die de gebruiker eraan geeft.
- New opportunities presented by our global technology machine come faster than we can find uses for them. We’ve never before had to deal with such an uncontrolled increase in technical performance and forms. Today, in contrast, most big companies own research factories that churn out technical knowledge in impressive quantities. But they often don’t know what to do with it. Sometimes they are unaware that particularly valuable inventions—which they have paid for—even exist. twenty postgraduate design students in a research labs of one of the world’s leading glass manufacturers. Everywhere they turned, they encountered technical innovations that triggered their imaginations: exotic surface treatments, lasers being used to project images on glass, experimental ways to suffuse light. In just two days, they came up with a series of scenarios for applying these technical marvels in daily-life contexts: ‘‘smart’’ shop windows, house windows that changed color, tabletops as monitors,…
- What’s needed are information systems—and multidisciplinary professional communities of knowledge exchange—that direct designers first to properties, and thence to the different materials or systems that possess them. The structures and systems we design have to act light, as well as be light—light to make, light to assemble, light in operation, light to recover, and light to recycle. The most successful organisms therefore take the minimum amount of energy and optimize the distribution of the energy between all its different functions.’’ Light structures need not only to use less matter, but also to use their matter more effectively So-called active systems of this kind require fast, real-time, stable, and failure-free computing. To act light, and not just be light, our buildings need the ability to sense and respond to changes in their environment—just like our own skin or a penguin’s fur. Smart architecture proposes, as an alternative, to build structures on a light ‘‘floating’’ raft made out of polystyrene foam. This can only be part of the solution, since the density of the ground and the mud under a building tend to vary through time. Therefore, the raft needs to be put on some kind of smart stabilizing base that would be able to compensate for these changes. A structure with these properties could, say the researchers at PARC, be designed like a cuttlefish skeleton which is extremely rigid despite the fact that its volume is only 7 percent solid. Inside a cuttlefish are channels that alternate with layers of plates. Inside these narrow channels is a gas: By changing its pressure, the fish can go up and down. A cuttlefish-style trim layer under a building could work in a similar way. Like the penguin, the polar bear maintains a steady body heat in extreme cold. The bear’s skin, which is black, is covered in a thick layer of translucent white hairs; these combine with trapped air to form an insulating layer that absorbs heat brilliantly. The hairs themselves guide infrared light toward the skin. Each individual hair is able to convey any external heat back to the skin, which absorbs it.
- Skyscrapers -> elastisch bij aardbeveingen, verstijft bij wind => sensors, …
- The tap had opened automatically. For cost-saving and no doubt good environmental reasons, the tap had been fitted with a chip and a sensor and told: ‘‘Only release water when someone is standing in front of you.’’ In nature, a tap that mistook a bag for a person would soon be extinct.
- http://www.ubiq.com/weiser/UbiHome.html http://searchnetworking.techtarget.com/definition/pervasive-computing => ubiquitous computing Ubiquitous computing (ubicomp) is a concept in software engineering and computer science where computing is made to appear everywhere and anywhere. In contrast to desktop computing, ubiquitous computing can occur using any device, in any location, and in any format. A user interacts with the computer, which can exist in many different forms, including laptop computers, tablets and terminals in everyday objects such as a fridge or a pair of glasses. The underlying technologies to support ubiquitous computing include Internet, advanced middleware, operating system, mobile code, sensors, microprocessors, new I/O and user interfaces, networks, mobile protocols, location and positioning and new materials. This new paradigm is also described as pervasive computing, ambient intelligence,[1] or 'everyware'.[2] Each term emphasizes slightly different aspects. When primarily concerning the objects involved, it is also known as physical computing, the Internet of Things, haptic computing,[3] and 'things that think'. Rather than propose a single definition for ubiquitous computing and for these related terms, a taxonomy of properties for ubiquitous computing has been proposed, from which different kinds or flavors of ubiquitous systems and applications can be described.[4] Ubiquitous computing touches on a wide range of research topics, including distributed computing, mobile computing, location computing, mobile networking, context-aware computing, sensor networks, human-computer interaction, and artificial intelligence. Other researchers are developing machine vision systems that will scan us for ‘‘psycho-physiological signals’’ and ‘‘sense and understand human actions.’’61 Eye gaze, pupil dilation and contraction, gaze direction through time, blinking, facial tics, breathing, and heart rates—all will be monitored remotely by systems designed to ‘‘understand our cognitive and emotional state of mind.’’62 We know, for a fact, that technology always has unexpected as well as expected consequences.
- http://www.ubiq.com/weiser/UbiHome.html http://searchnetworking.techtarget.com/definition/pervasive-computing => ubiquitous computing Ubiquitous computing (ubicomp) is a concept in software engineering and computer science where computing is made to appear everywhere and anywhere. In contrast to desktop computing, ubiquitous computing can occur using any device, in any location, and in any format. A user interacts with the computer, which can exist in many different forms, including laptop computers, tablets and terminals in everyday objects such as a fridge or a pair of glasses. The underlying technologies to support ubiquitous computing include Internet, advanced middleware, operating system, mobile code, sensors, microprocessors, new I/O and user interfaces, networks, mobile protocols, location and positioning and new materials. This new paradigm is also described as pervasive computing, ambient intelligence,[1] or 'everyware'.[2] Each term emphasizes slightly different aspects. When primarily concerning the objects involved, it is also known as physical computing, the Internet of Things, haptic computing,[3] and 'things that think'. Rather than propose a single definition for ubiquitous computing and for these related terms, a taxonomy of properties for ubiquitous computing has been proposed, from which different kinds or flavors of ubiquitous systems and applications can be described.[4] Ubiquitous computing touches on a wide range of research topics, including distributed computing, mobile computing, location computing, mobile networking, context-aware computing, sensor networks, human-computer interaction, and artificial intelligence. Other researchers are developing machine vision systems that will scan us for ‘‘psycho-physiological signals’’ and ‘‘sense and understand human actions.’’61 Eye gaze, pupil dilation and contraction, gaze direction through time, blinking, facial tics, breathing, and heart rates—all will be monitored remotely by systems designed to ‘‘understand our cognitive and emotional state of mind.’’62 We know, for a fact, that technology always has unexpected as well as expected consequences.
- Lisa was een computersysteem dat mensen moest helpen via spraakherkenning, maar er bleek al snel dat dit niet goed werkte en dan sommige groepen mensen veel problemen hadden met dit systeem. http://www.belgacom.com/be-nl/newslist/NL_Archive_press_releases.page?d=2004_01_10_1234
- Technologie is een aanvulling en geen vervaging van menselijke interactie.