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Summary Advanced Cognitive Engineering Lectures (0HM150)

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  • February 14, 2022
  • 34
  • 2020/2021
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Summary
Lecture 1 Introduction
Notes 42 Introduction: Ubiquitous Computing, IoT, and the extended mind

Is google making us stupid Nicholas Carr)
https://www.theatlantic.com/magazine/archive/2008/07/is-google-making-us-stupid/306868/
Problems with concentrating on reading lengthy texts, including the books and articles that he used to
read effortlessly, stem from spending too much time on the Internet.
New “types” of reading will emerge and become predominant in the information age. For example
Maryanne Wolf's theories about the role of technology and media in learning how to write new languages.
People’s ability to concentrate might decrease as new algorithms free them from knowledge work; that is,
the process of manipulating and synthesizing abstract information into new concepts and conclusions. He
compares the Internet with industrial management systems, tracing how they caused workers to complain
that they felt like automata after the implementation of Taylorist management workflows. He compares
this example with the modern example of Google, which places its computer engineers and designers into
a systematized knowledge environment, creating robust insights and results at the expense of creativity.

All of these technologies indelibly changed human cognition, but also led to mind-opening innovations
that endure today.

12 things everyone should understand about tech
https://medium.com/humane-tech/12-things-everyone-should-understand-about-tech-d158f5a26411

1. Tech is no neutral

All of the changes in our lives that happen when we use new technologies do so according to the
priorities and preferences of those who create those technologies.

2. Tech is no inevitable

new tech products usually involve a set of tradeoffs where improvements in areas like usability or
design come along with weaknesses in areas like privacy & security

3. Most people in tech sincerely want to do good.
Tech creators are very earnest about wanting to have a positive impact

4. Tech history is poorly documented and understood
it’s often near impossible to know why certain technologies flourished, or what happened to the ones
that didn’t.

5. Most tech education doesn’t include ethical training.

There are still very few programs aimed at upgrading the ethical knowledge of those who are already
in the workforce; continuing education is largely focused on acquiring new technical skills rather than
social ones

6. Tech is often built with surprising ignorance about its users.
Tech creators now regularly get treated as authorities in a wide range of fields like media, labor,
transportation, infrastructure and political policy — even if they have no background in those areas.



Summary 1

, But knowing how to make an iPhone app doesn’t mean you understand an industry you’ve never
worked in!
many of the most vulnerable communities will have little or no representation amongst the teams that
create new tech, preventing those teams from being aware of concerns that might be of particular
importance to those on the margins.

7. There is never just one single genius creator of technology.

tech is always informed by the insights and values of the community where its creators are based, and
nearly every breakthrough moment is preceded by years or decades of others trying to create similar
products.

8. Most tech isn’t from startups or by startups.
Only about 15% of programmers work at startups, and in many big tech companies, most of the staff
aren’t even programmers anyway
we should consider that the majority of people who create technology work in organizations or
institutions that we don’t think of as “tech” at all.
there are lots of independent tech companies — little indie shops or mom-and-pop businesses that
make websites, apps, or custom software, and a lot of the most talented programmers prefer the
culture or challenges of those organizations over the more famous tech titans.

9. Most big tech companies make money in just one of three ways.

 Advertising, google and facebook

 Big Business, microsoft, oracle and salesforce (get money from other big companies)

 Individuals, Apple and amazon

10. The economic model of big companies skews all of tech.

 Make an interesting or useful product that transforms a big market

 Get lots of money from venture capital investors

 Try to quickly grow a huge audience of users even if that means losing a lot of money for a while

 Figure out how to turn that huge audience into a business worth enough to give investors an
enormous return

 Start ferociously fighting (or buying off) other competitive companies in the market

11 Development choices
To outsiders, creating apps or devices is presented as a hyper-rational process where engineers
choose technologies based on which are the most advanced and appropriate to the task. In reality,
the choice of things like programming languages or toolkits can be subject to the whims of particular
coders or managers, or to whatever’s simply in fashion.

12. No institution has the power to rein in tech’s abuses.

In most industries, if companies start doing something wrong or exploiting consumers, they’ll be
reined in by journalists who will investigate and criticize their actions. Then, if the abuses continue and
become serious enough, the companies can be sanctioned by lawmakers at the local, state,
governmental or international level.

The Naked Cyborg




Summary 2

, For we shall be cyborgs not in the merely superficial sense of combining flesh and wires but in the more
profound sense of being human-technology symbionts: thinking and reasoning systems whose minds and
selves are spread across biological brain and nonbiological circuitry
The human brain is an expert at recognizing patterns, at perception, and at controlling physical actions,
but it is not so well designed (as we’ll see) for complex planning and long, intricate, derivations of
consequences. It is, to put it bluntly, bad at logic and good at Frisbee.
For what is special about human brains, and what best explains the distinctive features of human
intelligence, is precisely their ability to enter into deep and complex relationships with nonbiological
constructs, props, and aids. This ability, however, does not depend on physical wire-and-implant
mergers, so much as on our openness to information-processing mergers
We are such potent problem-solvers because our brains, more than those of any other animal on the
planet, are primed to seek and consummate such intimate relations with nonbiological resources that we
end up as bright and as capable of abstract thought as we are

Mind-expanding technologies come in a surprising variety of forms. They include the best of our old
technologies: pen, paper, the pocket watch, the artist’s sketchpad, and the old-time mathematician’s slide
rule. They include all the potent, portable machinery linking the user to an increasingly responsive world
wide web. Very soon, they will include the gradual smartening-up and interconnection of the many
everyday objects that populate our homes and offices
People buying phones are also buying so called "Mindware Upgrades" electronic prostheses capable of
extending and transforming their personal reach, thought, and vision

Naked Future
INTRODUCTION
Would you be suprised if your phone send you the text: "Good morning! Today, as you leave work, you will
run into your old girlfriend Vanessa (you dated her eleven years ago), and she is going to tell you that she
is getting married. Do try to act surprised!"
This is actually closer than you might think, we give this info to phone providers, governments and
retailers. This is what the writer Tucker) adresses as "the Naked Future"
The Internet is turning prediction into an equation
Big Data is used to do more with less but big data will shrink, becoming small enough to fit inside single-
push notification on a single user’s phone. Big data was a huge topic between 2010 and 2013 but big data
is only one piece of a larger trend that’s reshaping life on this planet and exposing the future
Telemetry is the collection and transfer of data in real time, according to the book it is what divides the
present from the naked future
Much of what we do, how we live, how we interact with institutions, organizations, and one another takes
place online, is readable telemetrically, and leaves clues about where we’ve been and where we’re going.
Metadata are the bits of information that you create (or your devices make on your behalf) through your
digital interactions. This data is growing exponentially. There will be forty-four times as much digital
information in 2020 35 zettabytes) as there was in 2009 8 zettabytes) according to the research group
IDC. In the big data present, it’s distant companies, market, and government forces that pick up the sound
of our metadata.
The devices and digital services that we allow into our lives will make noticeable to us how predictable we
really are




Summary 3

, the future app
Just as the costs of using big data have decreased for institutions, those costs will continue to trend
downward as systems improve and as consumer services spring up in a field that is currently dominated
by business-to-business players. The balance of power will shift—somewhat—in favor of individuals.
your data is yours first because you created it through your actions. Think of it not as a liability but as an
asset you can take ownership of and use. In the naked future, your data will help you live much more
healthily, realize more of your own goals in less time, avoid inconvenience and danger, and, as detailed in
this book, learn about yourself and your own future in a way that no generation in human history ever
thought possible

The Computer for the 21st century
Design of the 21st computer;
- sensors that automatically trigger doors
- The front desk (wo)man knows who's in the building

Lecture

Focus on computing beyond the desktop, from a user-centered and value-centered point of view
Embodied & Embedded




Focus on value-sensitive design, critical perspectives and current debates in VR, Data science and AI

value-centered, e.g. how does this technology influence future generation

gain knowledge and understanding of the complex relation between mind, body and technology

Lecture
Dillemma Dinsdag, you may never use any internet search or you lose a little finger from your hand of
choice. This shows how important the internet really is..

"First we build our tools, then our tools build us" Picture of babies on phones) The tools you use design
your mind. These tools become critically important.

How powerful are these tools really?

MacCready Explosion
Human powered flying machine

Environmentallist, thinking of human infleuence on the environment.




Summary 4

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