Contents
List of images
Introduction
CHAPTER 1.
Despite many Information and Convenience of Life
Why digital natives confused about their decisions? And which service could make better?
-1 What is the Hamlet syndrome?
-2 case study) Why did Hamlet Syndrome appear in morden society?
-3 The success of curation services with emphasize humanism
Case study – Stich fix / Apple music
CHAPTER 2.
Beyond Captology,Fourth revolution technology
will manipulate your mind without notice
2-0 Fourth industrial revolution and Persuasive new technology service
2-1 The service of new technology comes silently – Gartner curve
2-2 Smart AI assistant and data sharing services, driverless service
2-3 Appropriate symbiosis between computer and human creativity
CHAPTER 3. Interaction with another artificial human.
How can we survive with artificially intelligent?
3-1 Project CAPTCHA
3-2 Project ZOE
Conclusion – people should practice systemic thinking and design thinking with
new technology
Having Neohumanism as a choice architect
CHAPTER 1. Despite Much Information and Convenience of Life
Why digital natives confused about their decisions?
1-1 What is the Hamlet syndrome?
This syndrome, which comes from the words of Prince Hamlet, who said in Shakespeare’s novel “Hamlet”, “To die or not, it is a problem,” is a question of what to choose and what to throw away because of the information that is poured. Symptoms of disability.
“We are Generation maybe, which is a morbid decision to postpone the decision.” “Decision Disorder Generation” is a German journalist and author of Oliver Jeges, and The Decision Disorder Generation, ‘Column, which attracted public attention throughout Europe. ‘Decisional disorder’ is found in those individuals in their 20s and 30s, it is characterised by a lack of motivation and self-determination. Individuals who suffer from ‘decisional disorder’ have unusual characteristics. In the past, when the disorder wasn’t as well-researched and examined, it was referred as a disorder in which the individual displayed an extremely indecisive nature typical of someone who is timid, shy and/or introverted. But now it has become a social phenomenon that goes beyond individual personality.
It has become a psychological term that describes the characteristics of a decisional disorder is ‘delayed behaviour’. Delayed behaviour refers to postponing as soon as possible the work that needs to be done, or the work to be completed, in the uncomfortable mind that it cannot be done completely. Extreme procrastination, in other words. Delayed behaviour is likely to be confused with laziness, but that is another concept. Laziness and delayed behaviour are the same in that the individual does not do not do anything at all. But whereas idleness is simply stems from an indolent heart, delayed behaviour paradoxically occurs due to perfectionism or perfectionistic tendencies. In other words, you do not do anything to defend yourself from being incomplete because you feel that you are not doing it perfectly.
Psychological terms can be used to describe decision disorders, but in order to be a term for a generation of decision-making disorders, it must be interpreted in a social context. It’s hard for younger generations to make a decision because they do not have a choice, they are too many. This paradox if choice, coupled with the intense competition in virtually every field one could possibly imagine, causes young adults to set unrealistic expectations of themselves. These expectations are so heavy that they demoralise the individual, who recognises that they will never be able to meet their own expectations, let alone meet them perfectly. This causes decisional disorder. So the youth of today is stuck in a never-ending cycle of thought and inaction, going over and over in their heads the challenge placed in front of them and how daunting and unachievable it is.
1-2 Why did Hamlet Syndrome appear in Morden society and digital natives
“The network of knowledge has no form because the Internet itself has no boundaries. When knowledge is based on a solid foundation that is pyramid-like and shared among all members of the community, the form is meaningful when filtered through trustworthy authority. But no form of knowledge gives new vitality and is basically a relationship with the world. ”
‘David Weinberger / Too big to know’
David Wengerberger, Harvard University’s Berkman Center fellow,is a philosopher, a technology scholar, and a speaker. His novel “Too big and I do not know” tells of the enormity of the knowledge of the Internet age.
Knowledge now stands in a book, a library, or a journal, and goes beyond the standard model of the process of forming and shaping a particular form and has new forms and characteristics by the network. In addition, it is said that the nature of the network itself, not the content of the network itself, and the network itself is knowledge. This knowledge is boundless, constantly evolving and changing, connecting all data and sources. It is said that the process is made totally different from the process shown in the process. Knowledge brings choices. With so much information, choices become more and more difficult. We become overwhelmed with the wealth of information and how often everything contradicts everything else. It is so easy to become lost in the Internet, to have our brains become so thoroughly over-saturated and over-stimulated that we burn out and/or feel like we’re going insane. The amount of information available nowadays is gargantuan. One couldn’t even begin to comprehend the vastness and complexity of the various information and data available on in this new Age of Information.
At the same time, the crisis of knowledge due to these characteristics is also important. Too much data and information sometimes says that nothing leads to a single outcome, and that fact is not constant. This also delays the decision. We can never seem to find the exact answer we’re looking for or we’re just become so overcome we give up.
In some ways, the data and information that we have access to is so large and so vague and elusive we do not know what is true. We are being bombarded on all sides by information from all sources saying their data is true, that we don’t know what to do anymore. We can’t decide whose side we are on and beginning to sort through and differentiate between what is fact and what is fiction is such an enormous task that we simply become buried in the information available to us and give up trying to pick a side. Data smog, written by David Shenk Reflects the appearance of digital native suffering from the scandalous Hamlet syndrome of information Laws of Data Smog 1. ‘The information is rare and precious, like salmon once was and now it was common for granted, like potatoes. ‘
Law of Data smog- 9 Electronic viewership makes harmful decisions with fast communication.
The main resource in the information age is information. Computers and the Internet have built a technological environment that goes beyond physical space and time to “access information” anytime, anywhere. The emergence of knowledge workers who produce, process, distribute and manage information led to the development of knowledge information business,
However, when the information was defined as a measure of competitiveness and the mass media became commercialized, the surplus information became a problem of society. As information is mass-produced and exponentially spread, digital natives are in a state of drowsiness between the flood of information that is mixed with useful information and unnecessary information. Uncertain situations in which information is true can sometimes make people feel anxious and defiant. We must acknowledge that hamlet syndrome is not our fault and we cannot prevent it from being difficult to determine.
‘Hamlet, it’s not your fault.’
# Information overload, # digital native # hamlet syndrome
-4 Current persuasive service for Hamlet
‘Social construction of technologyand curation service’
The futurist Alvin Toffler’s SCOT (Social Construction of Technology) is a theory that shows that technology is not constituted by super-social rationality, but by complex and uncertain social conflicts and negotiations at all times. This is an alternative theory of technology determinism, in which existing technology itself has some inherent logic and developmental rules that are irrelevant to society, and which inevitably changes society in a certain direction.
Technology and markets like the theory of social construction of technology are trying to solve the difficulties with new services.
From five years ago, customized services have come into the spotlight to provide the right information to each customer through big data analysis.
Nowadays, the notion of ‘optimal’ is becoming as important as the concept of ‘satisfaction’ for users. Many companies that think that ‘curation commerce’, which recommends the optimal consumption / product combination to consumers, is a good solution for consumers with Hamlet syndrome. Consumers also try to provide optimal products and services by analyzing the individual’s taste.
Hamlet syndrome is why consumer demand for curation services is bound to grow.
The curation service, such as curators, collects and organizes information tailored to the tastes of users and recommends them to customers, has become a huge trend in the curation application start-up market (venture business) three years ago. Nowadays, many start-up companies tend to do curating services with data analysis and artificial intelligence deep-running technology. As Nudge’s authors have said, it’s really important to set the default option (default, nothing to do, just an automatic selection). “As I mentioned, curating is more about confusing consumers Giving the wrong initial default option is a shortcut to making the service fail.
Wanderfly, Lockerz These two services are examples. The trend of curation services started with a good start, but now it has been stopped with differentiated services.
‘Wanderfly was a web platform for discovering and sharing personalized travel recommendations.’
Lockerz
Lockerz.com was an international social commerce website based in Seattle, Washington.[3] The site claimed 19 million members[2] as of July 2011 in 195 different countries.[4][5]
Lockerz operated primarily on the basis of accumulating and spending Lockerz points, also called PTZ. Members acquired PTZ for logging into the site, watching short videos, referring friends, answering daily questions and polls, or purchasing items from Lockerz, among other activities. PTZ could be used for discounts on clothing, electronics, fashion accessories and other products in the Lockerz SHOP
A curation service that follows the digital native is a service that satisfies the digital native.
Stitch correction _
New York Times and Union Square (startup worth more than $ 1 billion) Registered in 2011, Stitch Fix (Stitch Fix), which has 100,000 members and an annual revenue of 300 billion won.
(AI) and professional stylists can provide customer service with the styling tools that are right for you. When a customer selects that product, they can return the product for free. If you want to buy a product, we will give $ 20 as a suggested price. Interesting thing is clothes in this mall.
“I can meet my boyfriend right now, standing up a stitch fix,” says the founder, Currie Lake, who wears a black dress and looks at the mall and patronizes it. 80% of customers buy 80% of customers and 90% of customers wait for purchases.
Music Curator Service
Apple Music
Music curation is a way to use many music services. There are a lot of music, and when many people do not listen to music when singing, it becomes curation as a method of selecting new music. Top 10 and other tables will give you music that can give you more of your favorite music.
I also have a lot of streaming music services.
Apple music sings your music to you more broadly.
Human curation. Algorithm Curation, Social Curation Apple has chosen the curation method of humans. This method has people and sensitivity.
CHAPTER 2.
Beyond Captology: the Fourth revolution of technology will manipulate your mind without your notice
Figure:Captology is the study of computers as persuasive technologies.
Captology is the study of computers as persuasive technologies. This includes the design, research, and analysis of interactive computing products (computers, mobile phones, websites, wireless technologies, mobile applications, video games, etc.) created for the purpose of changing people’s attitudes or behaviours. B.J. Fogg, a scientist and
innovator, coined the term ‘Captology’ in 1996. Captology is based on the acronym: Computers As Persuasive Technologies [CAPT]. The field of captology and persuasive technology is rapidly growing. The range of computing products (including websites and applications) grows daily with their aim being to change the way people think, act and make decisions. Currently, captology doesn’t simply involve websites, apps or games that alter people’s behaviour it is a movement. Captology is a method designed to stimulate thought and meticulously target human behaviours. The field sets objectives on how to achieve growth and development in and around human activity, using technology. It has tools and apparatus that aids these goals and helps solve problems. The aim of Captology is to engage people and help them understand and gauge technology and decide what matters to them.
Beyond the theory of Captology, where computer technology changes human behaviour, it is always affected by technology without sound, from the development of technology to the concept of transhuman that technology is superseded by humans. Transhumanists expect life sciences and emerging technologies to solve problems such as disability, pain, illness, and aging. Nick Bostrom, one of the main advocates of transhumanism, is a philosopher of transcendental humanism that lies in the same line with traditional humanism, respects the values and choices of humans and individuals, And promotes traditional values. James Hughes also argues that transcendental humanity will rapidly strengthen human cognitive abilities and evolve into high-quality intellectual animals.
Because of the Fourth Industrial Revolution, such an uneasy mind as these days will soon come to the fore. Nobody can predict how to change our lives. In this chapter we anticipate how the forthcoming industry will change our decisions, choices and behaviours.
2-1 The service of new technology comes silently – Gartner curve
* key – gartner predicted
In my opinion, I believe that the advancements in Virtual Reality technology have been astounding and exponential. We have seen its uses in gaming and entertainment with the release of mobile game applications like Pokémon Go. Even YouTube now has videos for virtual reality viewers. There seem to be benefits of this technology. Pokémon Go encouraged young children, and even adults, to go outside and get some exercise.
Upon its release on July 6th, 2016, Pokémon Go sparked worldwide enthusiasm. As of April 2017, Pokémon Go has 5 million active users per day, with an estimated number of Pokémon Go downloads to date being 650 million times (DMR, 2017). And as of July 2016, the user demographic is largely males between the ages of 18-34 (DMR, 2017).
It is an undeniable fact that the games that use VR technology, like Pokémon Go, have revolutionized what we expect from the world. Pokémon Go made it hard for other games to compete. With its interactive platform and wonderful marketing strategies, the game cornered the gaming market for several weeks and was the centre of attention for months following it release. It also redefined the way people look at digital services and are expecting information at the speed of now.
2-2 Fourth industrial revolution and Persuasive new technology service
Great things from small things
‘immediate concerns to think strategically about the forces of disruption and innovation shaping our future.
‘ I am well aware some academics and professionals consider the developments that I am looking at as simply a part of the third industrial revolution.
velocity / breadth and depth / systems impact ’
The word ‘4th Industrial Revolution’ was first widely known in January 2016 when it was announced by Professor Klaus Schwab, chairman of the World Economic Forum at the Davos Forum in Switzerland in January 2016.
The concept of the fourth industrial revolution defined and claimed by Professor Shubham is industrial innovation, which establishes a mutual communication system between production equipment and products through artificial intelligence, robot technology, Internet of things and life science. It says.
I do not call this claim ‘industrial revolution’ but ‘industrial innovation’ because it has not been realized yet. Professor Shipman’s claims are highly likely to be real, and are expected to have strong destructive power.
Klaus Schubert says that he is fundamentally different from the previous industrial revolution that was characterized by technological advances in his book The Fourth Industrial Revolution.
2-2 Smart AI assistants, data sharing services and also driveless cars
The fourth industrial revolution, or Industry 4.0, is fourth major industrial era since the initial Industrial Revolution that took place in the18th century. The Fourth Industrial Revolution is characterised by the creation and innovation of a range of new technological advancement in various fields. These advancements have enabled the fusion and merging the physical, digital and biological worlds. The fourth Industrial Revolution has impacted, and continues to impact, diverse and sometimes seemingly contradicting and unusual disciplines, economies and industries. This revolution has the capacity to transform the way we live, work and interact with each other; it is unlike anything humanity has ever seen or experienced. In this context, new advancements like Big Data, AI, Deep Learning and Video Sensors are set to usher in remarkable changes in our daily lives, making futuristic concepts like smart cities a clear and present reality.
What would be useful is to breakdown the other three industrial revolutions to understand how the fourth one is different and stands out.
The first industrial revolution began in the 18th century when humans started leveraging the power of water and steam to automate production. The second industrial revolution, which occurred during the late 19th to early 20th centuries, involved the use of electricity and information technology to do the same. The third industrial revolution was the digital revolution. It is an ongoing revolution that began in the middle of the 20th century. It is categorised by a combination of technologies. It has caused the dividing lines between the physical, digital, and biological spheres to virtually disappear and thrives on a concept that replaces competition with collaboration.
Key Trends
Customer First Approach: Digital services are well positioned to dismantle most myths that we have come to associate with the word ‘digitalization’, the first of which is to make redundant, the erroneously blanket usage of the prefix e to almost every services.
To that end, the first and foremost trend entails the use of services – nothing less and nothing more, regardless of whether you are a home maker, a school or a telecom company. The endeavour of every digital organization must be to proliferate the concept of ‘customer first’ and ‘digital first.’
From Proactive to Reactive: Gone are the days when waiting for customers to approach you for their problem would suffice, as long as there was an expeditious resolution. That however, no longer is relevant in today’s day and age where intuitive platforms and intelligent technology are the new norm.
In today’s digital parlance, the solutions provider already knows your problem before you approach based on your background, user-specific patterns and demographics. The onus is on analyzing and anticipating the needs of the customers before they come to you.
In real-world scenarios, this can potentially revolutionize medical care where the doctor and the patient collaborate with each other using intuitive dashboards and BI tools, or at government offices, where red tape and traditional, error-prone systems can be replaced by redesigning the entire service-led models involving digital components.
Simplification: Unlike the yester years, most people simply don’t care about how good or bad a technology is; all they care about is whether it can solve their problems quickly and adequately. The ‘wow’ factor about advanced technology has been taken out of the equation, because customer perceptions are now changing in a matter of minutes. Customers are no longer fascinated by fancy words like IoT or Analytics and are only interested to know what can that do for them today, and not tomorrow. Time is of utmost essence for customers and they don’t want to compromise on that.
Neuroscience: One of the most important trends that are set to be juxtaposed against digital technology is the inclusion of human psychology, more specifically neuroscience. While most technologically-savvy global giants do a great job at decoding what and how (of services), they end up missing out on perhaps the most crucial aspect: ‘why.’
Put simply, organizations are still struggling to understand why customers do the things they do. In this context, the role is neuroscience is poised to be phenomenal by uncovering some of the most intricate mysteries about the human mind. The challenge for neuroscience is to replicate its success attained in the fields of marketing.
2-3 Appropriate symbiosis between machine and human creativity
In the book, Human Machine Symbiosis: The Foundations of Human-centred Systems Design , Karamjit S. Gill, the editor, asks this question, “what role should science and technology research play in meeting new challenges of social vulnerability, environmental and ecological risk, the brittleness of economic, industrial and political orthodoxies and an increasing dependency on technological systems? These challenges are products of science and technology rooted in the ‘mechanistic’ paradigm of the ‘one best way’, ‘sameness of science’, and the ‘dream of the exact language’. The human-centred tradition moderates science and technology by mitigating the mechanistic paradigm through concepts such as human purpose, diversity, participation, social responsibility, equality, ethics, creativity and ecology and the environment. It provides theoretical and methodological frameworks for the social and cultural shaping of technologies emphasising human-machine symbiosis, creativity and innovation, participatory and cooperative design, and the tacit dimension of knowledge.” Here, Gill basically describes the issues we face as a race in resolving the technology with human needs and humanity in general. The issue is trying to come up with innovative ways to ensure that both technology and humanity can develop side-by-side mutually benefitting one another without causing us to lose our ‘humanness’ while also ensuring we do not hinder or hold back progress and development. Gill (2012) goes on to say, “the idea of human-machine symbiosis emphasises the collaboration between human capabilities and machine, rather than the separation which is embedded in the dominant human factors tradition of Human Computer Interaction (HCI) (Gill, 1990), which focuses on the information processing component of human-computer relations.” Here Gill (2012) argues that the only way to move forward is to focus on human-machine collaboration and see machines almost as extensions of ourselves. When working with computers and machines it is easy to side-line human ability and our impact on technology. Gill (2012) continues: “At a research level, human-centredness challenges the techno-centric focus of science and technology which ignores the diversity of human knowledge and marginalises human skill”. As previously mentioned, the danger with technological advancements in the
tendency to ignore our own innate abilities. This down-playing of our intellect causes a dependency on technology and machines that is unhealthy and unfulfilling. Thus, Gill (2012) advocates the human-centred approach to human-machine symbiosis: “The human-centred movement provides an alternative focus for designing technology which enshrines human purpose and transcends beyond causality. In essence, human-centredness enshrines:
• the idea of a symbiotic relationship between the human and the machine, between cause and purpose, and between objective knowledge and the tacit dimension of human knowledge;
• a belief that is by being proactive and not reactive, and by designing tools and not machines, that we can cope with highly complex and synchronised systems of the microelectronic age;
• it is by adopting the concept of ‘valorisation of diversity’ and rejecting the notions of the ‘one best way’, ‘one culture’ and ‘sameness of scientific ideas’ (e.g. consistency, reliability, predictability), the we can deal effectively with societal issues of local specificity and global sustainability.”
Above all else, our aim when defining our relationship to machines and technology should focus on aiding human development and promoting human characteristics. We need to develop systems that aid our ability to be creative, imaginative and open-minded. If we have machines that do everything for us and take over processes and functions that are typically human, we will lose the essence of humanity. It is imperative to maintain a balance between humans and machines.
There are several programs striving to emphasise human ability and skill and adopt a human-centred approach to technology and human-machine relationships. One such program is MIT Media Laboratory’s x10 initiative. The abstract of the thesis indicates the proposals: 10× is a new initiative at the MIT Media Laboratory with the goal of magnifying human abilities by an order of magnitude (’10×’), or more, along various cognitive and physical dimensions. Based on an understanding of human abilities and limitations, technologies can be shaped to extend human reach. By setting our sights on 10× gains, we deliberatively seek human abilities which can be dramatically improved with appropriate technology-based catalysts. We view the underlying challenges of developing assistive technologies for individuals with impairments and bionic technologies for unimpaired individuals as fundamentally similar in nature. Across this spectrum, our aim is to develop technologies that complement rather than replace human abilities (Roy, 2004).
CHAPTER 3. Interaction with another artificial human
How can we survive with artificial intelligent?
3-1 Project CAPTCHA (example of living with technology and human with participate program)
Luis Phonen insists on human computation because he can work with humans and computers. Through human computation, we devised CAPTCHA, which is the beginning of crowdsourcing and gaming. Ponan continues the Human Computation Project, which utilizes human intelligence and computer functions.
Captcha is a computer program or system designed to distinguish human input from that of a machine. It is typically used to ward off spam and the computerised extraction of data from websites. It is an acronym for Completely Automated Public Turing test to tell Computers and Humans Apart. The termed was devised in 2003 by Luis von Ahn, Manuel Blum, Nicholas J. Hopper, and John Langford. In the abstract of their paper, they wrote: We introduce captcha, an automated test that humans can pass, but current computer programs can’t pass: any program that has high success over a captcha can be used to solve an unsolved Artificial Intelligence (AI) problem. We provide several novel constructions of captchas. Since captchas have many applications in practical security, our approach introduces a new class of hard problems that can be exploited for security purposes. Much like research in cryptography has had a positive impact on algorithms for factoring and discrete log, we hope that the use of hard AI problems for security purposes allows us to advance the field of Artificial Intelligence. We introduce two families of AI problems that can be used to construct captchas and we show that solutions to such problems can be used for steganographic communication. CAPTCHAs based on these AI problem families, then, imply a win-win situation: either the problems remain unsolved and there is a way to differentiate humans from computers, or the problems are solved and there is a way to communicate covertly on some channels (Von Ahn et al, 2003).
CAPTCHA is an excellent example of a technology with human-centred approach. It meets all the criteria that Gill (2012) stated that a technology should meet to be considered a human-centred technology.
3-2 Project ZOE
Conclusion – people should practice systemic thinking and design thinking with
new technology
In conclusion, the world of transhumanism seems to be in the very distant future. We currently do not possess either the tools or the data necessary to implement any of our ideas. Hence, we [humankind] are stuck in the idea phase, and are often considered to suffer from Hamlet Syndrome (or the problem of over thinking without any action). However, we are innovating technology by leaps and bounds with the creation of curative services like Apple Music. Further, I analysed Captology and its origins. I believe that as a scientific study it has the potential to revolutionise the way we think, act and interact with each other and the digital world. I argue that in order to create websites and applications that are useful and innovative we have to apply captological principles and persuasive technology if we want to change people’s behaviours and attitudes for the better. Innovations in the VR gaming industry and their effects on human culture are undeniable. Therefore, we must adopt methods of analysis and prediction similar to Gartner’s Hype Cycle for Digital Marketing and Advertising (2016) for furture digital creations.
Further, as we enter the Fourth Industrial Revolution, and seek to aid the fusion of the physical and digital sides of life, it is imperative that we focus on human-machine symbiosis with a human-centred approach. A prerequisite for development is that we ensure our technological systems enable and encourage human creativity, skill and ability and not marginalise or side-line our innate capacities for growth and learning. As we go further and further into the technological era, is becoming increasingly easy to become overwhelmed with the information we receive and have access to. It is of the utmost importance that we maintain, encourage and emphasise creative thinking and innovation while ensuring that we make strides for the betterment of human society and the world at large. The fourth industrial revolution is no longer confined to just the economic or mechanic sphere of industry, it involves mankind as a whole. The question of human-machine interactions and AI creation has become almost philosophical and ethical in nature. With the advent of programs like CAPTCHA it is evident that our world is becoming rapidly more complex and possibly includes elements of non-human origin. To champion the future generations of technological service providers and engineers we must adopt a neohumanistic approach. We must advocate universalism and focus on keeping and enhancing our humanity (which is what separates us from machines). As the human-machine relationship grows and develops we must not fail to recognise its spiritual facet.
