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Ubiquitous computing has been here since at least 2005, but we may not have noticed it. Computers are rapidly fragmenting from expensive general-purpose devices to cheaper specialized networked tools (phones, netbooks, desktop RFID readers, MP3 players, running shoe sensors, etc.). These tools bridge the physical world and the Internet in new ways, often using Web 2.0-style interaction to create unexpected ways to work and play in the real world while simultaneously having the power of the Net available to us. This talk will discuss how mashups between meatspace and the Net have already happened, what the emerging patterns are, and how widgetization is about to jump from social networks to devices and then disappear altogether.
Mashups with Atoms
Mashups with Atoms
Mike Kuniavsky
During INNOBITE's first year running, a workshop will take place on the 16th of September 2013 in Dübendorf, Switzerland. The workshop topic will be “Biorefinery and Nanocellulose” and the following groups will participate as lecturers: EMPA, Tecnalia, CIMV, Tecnaro and ECOPULP . This workshop will be an opportunity to exchange knowledge and experience in important aspects of the project, such as the biorefinery concept and market, green chemicals from wood, lignin-based molecules, lignin-based thermoplastics and types of nanocellulose, its production methods, commercial initiatives and applications. A link is available for the registration: www.empa.ch/Innobite More Information: http://www.innobite.eu/news.php?id=83
INNOBITE Project holds its 1st Workshop in September 2013
INNOBITE Project holds its 1st Workshop in September 2013
INNOBITE Cruz
The software running much of our world today, from consumer apps to industrial infrastructures, is increasingly built on systems that learn and try to predict the future, our future. They’re increasingly sophisticated and profoundly different than technologies we’ve ever lived with before, and they're not particularly good in their predictions. This talk is about what we—the intended beneficiaries of these products and services—will do, and how our lives will change, as the algorithms that are supposed to understand us are on what is likely a slow learning curve.
Our Future in Algorithm Farming (Long Now Interval 5/17/16)
Our Future in Algorithm Farming (Long Now Interval 5/17/16)
Mike Kuniavsky
This presentation identifies challenges to the user experience design of smart devices (such as the Nest Thermostat, the Amazon Echo, the Edyn water monitor, etc.) that use machine learning to anticipate the needs of people and environments and adapt in response, and point to some potential design patterns to help address those challenges. The Internet of Things promises that by analyzing data from many sensors over time our experience of the world becomes better and more efficient. Our environment can predict our behavior, anticipate problems and needs, and maximize the chances of a desirable end result. Though this notion of effortless automation is seductive (espresso machines that start just as you’re thinking it’s a good time for coffee; office lights that dim when it’s sunny and power is cheap), we don’t have good examples for designing user experiences of predictive systems. As a result, today it’s much easier to create such systems that are confusing, unpredictable and uncontrollable.
The UX of Predictive Behavior for the IoT (2016: O'Reilly Designing for the IOT)
The UX of Predictive Behavior for the IoT (2016: O'Reilly Designing for the IOT)
Mike Kuniavsky
Sebi
Sebi
guest37cbd035
One of the biggest challenges in designing novel connected hardware is knowing whether the final experience will be successful, and minimizing the investment in developing the wrong product. Building fully-functional hardware to evaluate an idea is a significant investment, and slow. We believe it’s possible to manage risk and still explore big, potentially transformative, ideas for products and services. Our approach looks at novel digital product systems (broadly in the Internet of Things, but not exclusively) with the explicit goal of building the minimum amount of technology as is necessary to answer questions about the value and impact of a new product or service.
Hardware without Hardware, minimal explorations of novel product ideas (O'Rei...
Hardware without Hardware, minimal explorations of novel product ideas (O'Rei...
Mike Kuniavsky
[This is an updated version of an earlier presentation with some of the images, but none of the content, removed] Corporate Research and Development is evolving, and it increasingly incorporates user experience design, design research, and service design into the earliest stages. The historical separation between basic research, applied research and productization erodes as research horizons shorten, technology diffuses more rapidly, and companies want to take bigger risks sooner. When this changing market is coupled with rapidly changing technology that blurs the boundaries between hardware, software, materials and processes, the role of design fundamentally changes. Design influences technology research earlier in the creation of a novel technology, whether it’s a new application of artificial intelligence, or a new material. In this PARC Forum, Mike Kuniavsky and other members of PARC’s Innovation Services Group will present how they participate in early-stage research and development, and discuss the methods they developed when working alongside PARC’s researchers in developing printed sensors, AI-enabled IoT services, and deep learning computer vision products. We will show how we systematically explore the impact of technologies before they exist and how we try to look beyond hype and our own excitement to see how a new technology can actually solve business and human problems.
Design in Research: How do you use design to support and shape R&D? October 1...
Design in Research: How do you use design to support and shape R&D? October 1...
Mike Kuniavsky
The software running much of our world today, from consumer apps to industrial infrastructures, is increasingly built on systems that learn and try to predict the future, our future. They’re increasingly sophisticated and profoundly different than technologies we’ve ever lived with before, and they're not particularly good in their predictions. This talk is about what we—the intended beneficiaries of these products and services—will do, and how our lives will change, as the algorithms that are supposed to understand us are on what is likely a slow learning curve.
Our Future in Algorithm Farming (Long Now Interval 5/17/16)
Our Future in Algorithm Farming (Long Now Interval 5/17/16)
Mike Kuniavsky
Empfohlen
Ubiquitous computing has been here since at least 2005, but we may not have noticed it. Computers are rapidly fragmenting from expensive general-purpose devices to cheaper specialized networked tools (phones, netbooks, desktop RFID readers, MP3 players, running shoe sensors, etc.). These tools bridge the physical world and the Internet in new ways, often using Web 2.0-style interaction to create unexpected ways to work and play in the real world while simultaneously having the power of the Net available to us. This talk will discuss how mashups between meatspace and the Net have already happened, what the emerging patterns are, and how widgetization is about to jump from social networks to devices and then disappear altogether.
Mashups with Atoms
Mashups with Atoms
Mike Kuniavsky
During INNOBITE's first year running, a workshop will take place on the 16th of September 2013 in Dübendorf, Switzerland. The workshop topic will be “Biorefinery and Nanocellulose” and the following groups will participate as lecturers: EMPA, Tecnalia, CIMV, Tecnaro and ECOPULP . This workshop will be an opportunity to exchange knowledge and experience in important aspects of the project, such as the biorefinery concept and market, green chemicals from wood, lignin-based molecules, lignin-based thermoplastics and types of nanocellulose, its production methods, commercial initiatives and applications. A link is available for the registration: www.empa.ch/Innobite More Information: http://www.innobite.eu/news.php?id=83
INNOBITE Project holds its 1st Workshop in September 2013
INNOBITE Project holds its 1st Workshop in September 2013
INNOBITE Cruz
The software running much of our world today, from consumer apps to industrial infrastructures, is increasingly built on systems that learn and try to predict the future, our future. They’re increasingly sophisticated and profoundly different than technologies we’ve ever lived with before, and they're not particularly good in their predictions. This talk is about what we—the intended beneficiaries of these products and services—will do, and how our lives will change, as the algorithms that are supposed to understand us are on what is likely a slow learning curve.
Our Future in Algorithm Farming (Long Now Interval 5/17/16)
Our Future in Algorithm Farming (Long Now Interval 5/17/16)
Mike Kuniavsky
This presentation identifies challenges to the user experience design of smart devices (such as the Nest Thermostat, the Amazon Echo, the Edyn water monitor, etc.) that use machine learning to anticipate the needs of people and environments and adapt in response, and point to some potential design patterns to help address those challenges. The Internet of Things promises that by analyzing data from many sensors over time our experience of the world becomes better and more efficient. Our environment can predict our behavior, anticipate problems and needs, and maximize the chances of a desirable end result. Though this notion of effortless automation is seductive (espresso machines that start just as you’re thinking it’s a good time for coffee; office lights that dim when it’s sunny and power is cheap), we don’t have good examples for designing user experiences of predictive systems. As a result, today it’s much easier to create such systems that are confusing, unpredictable and uncontrollable.
The UX of Predictive Behavior for the IoT (2016: O'Reilly Designing for the IOT)
The UX of Predictive Behavior for the IoT (2016: O'Reilly Designing for the IOT)
Mike Kuniavsky
Sebi
Sebi
guest37cbd035
One of the biggest challenges in designing novel connected hardware is knowing whether the final experience will be successful, and minimizing the investment in developing the wrong product. Building fully-functional hardware to evaluate an idea is a significant investment, and slow. We believe it’s possible to manage risk and still explore big, potentially transformative, ideas for products and services. Our approach looks at novel digital product systems (broadly in the Internet of Things, but not exclusively) with the explicit goal of building the minimum amount of technology as is necessary to answer questions about the value and impact of a new product or service.
Hardware without Hardware, minimal explorations of novel product ideas (O'Rei...
Hardware without Hardware, minimal explorations of novel product ideas (O'Rei...
Mike Kuniavsky
[This is an updated version of an earlier presentation with some of the images, but none of the content, removed] Corporate Research and Development is evolving, and it increasingly incorporates user experience design, design research, and service design into the earliest stages. The historical separation between basic research, applied research and productization erodes as research horizons shorten, technology diffuses more rapidly, and companies want to take bigger risks sooner. When this changing market is coupled with rapidly changing technology that blurs the boundaries between hardware, software, materials and processes, the role of design fundamentally changes. Design influences technology research earlier in the creation of a novel technology, whether it’s a new application of artificial intelligence, or a new material. In this PARC Forum, Mike Kuniavsky and other members of PARC’s Innovation Services Group will present how they participate in early-stage research and development, and discuss the methods they developed when working alongside PARC’s researchers in developing printed sensors, AI-enabled IoT services, and deep learning computer vision products. We will show how we systematically explore the impact of technologies before they exist and how we try to look beyond hype and our own excitement to see how a new technology can actually solve business and human problems.
Design in Research: How do you use design to support and shape R&D? October 1...
Design in Research: How do you use design to support and shape R&D? October 1...
Mike Kuniavsky
The software running much of our world today, from consumer apps to industrial infrastructures, is increasingly built on systems that learn and try to predict the future, our future. They’re increasingly sophisticated and profoundly different than technologies we’ve ever lived with before, and they're not particularly good in their predictions. This talk is about what we—the intended beneficiaries of these products and services—will do, and how our lives will change, as the algorithms that are supposed to understand us are on what is likely a slow learning curve.
Our Future in Algorithm Farming (Long Now Interval 5/17/16)
Our Future in Algorithm Farming (Long Now Interval 5/17/16)
Mike Kuniavsky
This presentation includes an overview of PARC, of Innovation Services at PARC and our use of social science, and a description of a process we use, experience probes, to reduce the risk of adopting novel technologies while still making breakthrough innovations.
Experience Probes for Exploring the Impact of Novel Products
Experience Probes for Exploring the Impact of Novel Products
Mike Kuniavsky
This talk explores the potential, and the challenge of designing predictive artificial intelligence-enabled, user experiences for the Internet of Things. The Internet of Things promises that by analyzing data from many IoT devices our experience of the world becomes better and more efficient. The environment predicts our behavior, anticipates problems, and intercepts them before they occur. However, we don’t have good examples for designing user experiences of predictive AI. This talk gives examples of several different systems, lists UX challenges to creating behavioral systems, and potential approaches to addressing those challenges.
The UX of Predictive AI in the IoT (Rosenfeld To Be Designed)
The UX of Predictive AI in the IoT (Rosenfeld To Be Designed)
Mike Kuniavsky
New product ecosystem_2013_0.1
New product ecosystem_2013_0.1
Mike Kuniavsky
Picture a world where Amazon.com is a factory. Products are made as needed, based on direct input from users to designers and developers. Consumption directly drives production, and data informs design. If we weren't talking about physical products, this would sound a lot like Web/app interaction design, but the worlds of making atoms and bits are quickly colliding, and the implications are profound. By mapping what we have learned creating analytics-driven digital design to the physical world, we can change how everything is made, for the better.
How Web Design will reinvent manufacturing
How Web Design will reinvent manufacturing
Mike Kuniavsky
Video: youtube.com/watch?v=eN05B7dDsFY Picture a world where Amazon.com is a factory. Products are made in small quantities, as needed, based on direct input from users to designers and developers. Consumption directly drives product creation, and data informs design. Consumer products are made locally, with local materials and workers, while at the same time using design and engineering talent from anywhere on earth. It simultaneously looks exactly like our world, but is totally different. It’s almost here, and you know more about it than anyone else.
Designers and-geeks 2012-presentation_0.2
Designers and-geeks 2012-presentation_0.2
Mike Kuniavsky
(SEE SLIDE NOTES FOR COMPLETE TRANSCRIPT) Imagine a world 8 years from now where instead of a warehouse, Amazon is a factory. Products are made in small quantities, as needed, based on direct input from users to designers and developers. In this world design directly drives product creation, and data informs design. Consumer products are made locally, with local materials and workers, while at the same time being able to use design and engineering talent from anywhere on earth. It simultaneously looks exactly like our world, but is totally different.
The New Product Development Ecosystem
The New Product Development Ecosystem
Mike Kuniavsky
(look at slide notes for full talk transcript) Imagine a world 8 years from now where instead of a warehouse, Amazon is a factory, where products are made in small quantities based on direct input from users to designers. In this world design directly drives product creation, and where data informs design. (special thanks to Joel Truher for many of the ideas and Alex Chaffee for the Amazon example)
The New Product Development Ecosystem (Sketching in Hardware 2012 presentation)
The New Product Development Ecosystem (Sketching in Hardware 2012 presentation)
Mike Kuniavsky
ow do you design experiences that transcend a single device, or even a family of devices? How do you create experiences that exist simultaneously in your hand and in the cloud? Using plentiful examples drawn from cutting edge products and the history of technology, this workshop describes underlying trends, shows the latest developments and asks some broader questions.
2012 ux lx-workshop_0.3-2
2012 ux lx-workshop_0.3-2
Mike Kuniavsky
How do you design experiences that transcend a single device, or even a family of devices? How do you create experiences that exist simultaneously in your hand and in the cloud? Using plentiful examples drawn from cutting edge products and the history of technology, this workshop describe underlying trends, show the latest developments and ask some broader questions.
Designing Smart Things: User Experience Design for Networked Devices (UX-LX W...
Designing Smart Things: User Experience Design for Networked Devices (UX-LX W...
Mike Kuniavsky
(FULL TRANSCRIPT IN SLIDE NOTES) The technologies underlying most current Internet of Things visions are not particularly revolutionary. That of course doesn't mean that the visions are not compelling, just that the challenges in creating these visions have little to do with building new technologies. The challenge is to identify what people want and need, and how -- or if -- automatic identification, distributed processing, and pervasive networking can help address those needs and desires. We need to think about how we’re going to create the Google of Things, the Facebook of Things, the Foursquare of Things, the PayPal of Things, the Farmville of Things. It's not about the infrastructure, it's about the applications, and the applications are about people.
The Internet of People: Integrating IoT Technologies is Not a Technical Probl...
The Internet of People: Integrating IoT Technologies is Not a Technical Probl...
Mike Kuniavsky
(Look at slide notes for full transcript) How can digital hardware startups be more like Github and less like General Motors? The pieces that fell together to create the ecosystem of tools and business models that lead to the creation of Eric Ries' Lean Startup model for online products are now falling into place in the hardware sector. We're about to see an explosion of hardware startups based on the same ideas. Technological, social and financial changes are coming together to allow entrepreneurs to rapidly iterate new digital devices focused on customer needs. These core elements create a new way to conceptualize the development of digital hardware products. This talk will examine the components that are creating this change and suggest some directions we can expect things to go, and how we can take advantage of it.
Lean hardware startups: elements of a ubiquitous computing innovation ecosystem
Lean hardware startups: elements of a ubiquitous computing innovation ecosystem
Mike Kuniavsky
As more products, from tablets to bathroom scales to washing machines go online, our relationship to them changes. We start to think of them as representatives of online services, and to think of services as represented by products. Ubiquitous computing changes our understanding of where the boundaries of a hardware product and a service stop, and fundamentally challenges how we design both.
Products are Services, how ubiquitous computing changes design
Products are Services, how ubiquitous computing changes design
Mike Kuniavsky
Every technology’s most profound social and cultural changes are invisible at the outset. Cheap information processing and networking technology is a brand new phenomenon, culturally speaking, and quickly changing the world in fundamental ways. Designers align the capabilities of a technology with people’s lives, so it is designers who have the power and responsibility to think about what this means.
Unintended Consequences: design [in|for|and] the age of ubiquitous computing
Unintended Consequences: design [in|for|and] the age of ubiquitous computing
Mike Kuniavsky
The pieces of the innovation ecosystem for the Internet of Things and Ubicomp are in place. They're: Object Oriented Hardware, Cheap Assembly, Anchors in the Cloud, Social Design Collaboration Tools, The Arduino, Low Volume Sales Channels
The Internet of Things to Come: elements of a ubiquitous computing innovation...
The Internet of Things to Come: elements of a ubiquitous computing innovation...
Mike Kuniavsky
In this workshop Mike Kuniavsky, author of "Smart Things: ubiquitous computing user experience design" introduces concepts of user experience design for the post-PC/post-phone world. How do you design experiences that transcend a single device, or even a family of devices? How do you create experiences that exist simultaneously in your hand and in the cloud? Using plentiful examples drawn from cutting edge products and the history of technology, the workshop describes underlying trends, shows the latest developments and asks broader questions. This presentation introduces fundamental concepts of ubiquitous computing user experience design and specific techniques for designing services and interfaces. Topics include: - Design for multiple scales - Design for services used by multiple devices - Rethinking everyday objects and experiences - Understanding use context
Designing Smart Things: user experience design for networked devices
Designing Smart Things: user experience design for networked devices
Mike Kuniavsky
Get notes and the full transcript here: http://orangecone.com/archives/2011/05/somatic_data_pe.html Augmented reality is the extension of our senses into the realm of information shadows where physical objects have data representations that can be manipulated digitally as we manipulate objects physically. To me this goes further than putting a layer of information over the world, like a veil. It’s about enhancing the direct experience of the world, not to replace it, and to do it in a way that’s not about being completely in the background, like ambient data weather, or about taking over our attention. I’m advocating a change in language away from “augmented reality” to something that’s more representative of the whole experience of data in the environment. I’m calling it “Somatic Data Perception.”
Somatic Data Perception: Sensing Information Shadows
Somatic Data Perception: Sensing Information Shadows
Mike Kuniavsky
We’re about to see a precambrian explosion of device-types that span uses, scales, and continents as we collectively stumble around and try to figure out what it means when many people have many devices and they’re telling many interwoven stories with them simultaneously.
Life in the Pre-Pre-Cambrian: a presentation for the MS Social Computing Symp...
Life in the Pre-Pre-Cambrian: a presentation for the MS Social Computing Symp...
Mike Kuniavsky
Service Avatars and the Service Avatar Operating System (Symbian SEE conferen...
Service Avatars and the Service Avatar Operating System (Symbian SEE conferen...
Mike Kuniavsky
We have passed the era of Peak MHz. The race in CPU development is now for smaller, cheaper, and less power-hungry processors. As the price of powerful CPUs approaches that of basic components, how information processing is used—and how to design with/for it—fundamentally changes. When information processing is this cheap, it becomes a material with which to design the world, like plastic, iron, and wood. This vision argues that most information processing in the near future will not be in some distant data center, but immediately present in our environment, distributed throughout the world, and embedded in things we don't think of as computers (or even as "phones"). This talk will discuss what it means to treat information as a material, the properties of information as a design material, the possibilities created by information as a design material, and approaches for designing with information. Information as a material enables The Internet of Things, object-oriented hardware, smart materials, ubiquitous computing, and intelligent environments.
Information is a Material (Mobile Monday talk transcript)
Information is a Material (Mobile Monday talk transcript)
Mike Kuniavsky
We have passed the era of Peak MHz. The race in CPU development is now for smaller, cheaper, and less power-hungry processors. As the price of powerful CPUs approaches that of basic components, how information processing is used--and how to design for/with it--fundamentally changes. When information processing is this cheap, it becomes a material with which to design the world, like plastic, iron, and wood. This vision argues that most information processing in the near future will not be in some distant data center, but immediately present in our environment, distributed throughout the world, and embedded in things we don't think of as computers (or even as "phones"). This talk discusses what it means to treat information as a material, the properties of information as a design material, the possibilities created by information as a design material, and approaches for designing with information. Information as a material enables The Internet of Things, object-oriented hardware, smart materials, ubiquitous computing, and intelligent environments, and services. (talk given at the University of Michigan's School of Information on 11/1/10 and at Stanford's HCI Group)
Information is a Material. Products are Services.
Information is a Material. Products are Services.
Mike Kuniavsky
Discord is a free app offering voice, video, and text chat functionalities, primarily catering to the gaming community. It serves as a hub for users to create and join servers tailored to their interests. Discord’s ecosystem comprises servers, each functioning as a distinct online community with its own channels dedicated to specific topics or activities. Users can engage in text-based discussions, voice calls, or video chats within these channels. Understanding Discord Servers Discord servers are virtual spaces where users congregate to interact, share content, and build communities. Servers may revolve around gaming, hobbies, interests, or fandoms, providing a platform for like-minded individuals to connect. Communication Features Discord offers a range of communication tools, including text channels for messaging, voice channels for real-time audio conversations, and video channels for face-to-face interactions. These features facilitate seamless communication and collaboration. What Does NSFW Mean? The acronym NSFW stands for “Not Safe For Work,” indicating content that may be inappropriate for professional or public settings. NSFW Content NSFW content encompasses material that is sexually explicit, violent, or otherwise graphic in nature. It often includes nudity, profanity, or depictions of sensitive topics.
Understanding Discord NSFW Servers A Guide for Responsible Users.pdf
Understanding Discord NSFW Servers A Guide for Responsible Users.pdf
UK Journal
Scaling API-first – The story of a global engineering organization Ian Reasor, Senior Computer Scientist - Adobe Radu Cotescu, Senior Computer Scientist - Adobe Apidays New York 2024: The API Economy in the AI Era (April 30 & May 1, 2024) ------ Check out our conferences at https://www.apidays.global/ Do you want to sponsor or talk at one of our conferences? https://apidays.typeform.com/to/ILJeAaV8 Learn more on APIscene, the global media made by the community for the community: https://www.apiscene.io Explore the API ecosystem with the API Landscape: https://apilandscape.apiscene.io/
Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobe
Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobe
apidays
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This presentation includes an overview of PARC, of Innovation Services at PARC and our use of social science, and a description of a process we use, experience probes, to reduce the risk of adopting novel technologies while still making breakthrough innovations.
Experience Probes for Exploring the Impact of Novel Products
Experience Probes for Exploring the Impact of Novel Products
Mike Kuniavsky
This talk explores the potential, and the challenge of designing predictive artificial intelligence-enabled, user experiences for the Internet of Things. The Internet of Things promises that by analyzing data from many IoT devices our experience of the world becomes better and more efficient. The environment predicts our behavior, anticipates problems, and intercepts them before they occur. However, we don’t have good examples for designing user experiences of predictive AI. This talk gives examples of several different systems, lists UX challenges to creating behavioral systems, and potential approaches to addressing those challenges.
The UX of Predictive AI in the IoT (Rosenfeld To Be Designed)
The UX of Predictive AI in the IoT (Rosenfeld To Be Designed)
Mike Kuniavsky
New product ecosystem_2013_0.1
New product ecosystem_2013_0.1
Mike Kuniavsky
Picture a world where Amazon.com is a factory. Products are made as needed, based on direct input from users to designers and developers. Consumption directly drives production, and data informs design. If we weren't talking about physical products, this would sound a lot like Web/app interaction design, but the worlds of making atoms and bits are quickly colliding, and the implications are profound. By mapping what we have learned creating analytics-driven digital design to the physical world, we can change how everything is made, for the better.
How Web Design will reinvent manufacturing
How Web Design will reinvent manufacturing
Mike Kuniavsky
Video: youtube.com/watch?v=eN05B7dDsFY Picture a world where Amazon.com is a factory. Products are made in small quantities, as needed, based on direct input from users to designers and developers. Consumption directly drives product creation, and data informs design. Consumer products are made locally, with local materials and workers, while at the same time using design and engineering talent from anywhere on earth. It simultaneously looks exactly like our world, but is totally different. It’s almost here, and you know more about it than anyone else.
Designers and-geeks 2012-presentation_0.2
Designers and-geeks 2012-presentation_0.2
Mike Kuniavsky
(SEE SLIDE NOTES FOR COMPLETE TRANSCRIPT) Imagine a world 8 years from now where instead of a warehouse, Amazon is a factory. Products are made in small quantities, as needed, based on direct input from users to designers and developers. In this world design directly drives product creation, and data informs design. Consumer products are made locally, with local materials and workers, while at the same time being able to use design and engineering talent from anywhere on earth. It simultaneously looks exactly like our world, but is totally different.
The New Product Development Ecosystem
The New Product Development Ecosystem
Mike Kuniavsky
(look at slide notes for full talk transcript) Imagine a world 8 years from now where instead of a warehouse, Amazon is a factory, where products are made in small quantities based on direct input from users to designers. In this world design directly drives product creation, and where data informs design. (special thanks to Joel Truher for many of the ideas and Alex Chaffee for the Amazon example)
The New Product Development Ecosystem (Sketching in Hardware 2012 presentation)
The New Product Development Ecosystem (Sketching in Hardware 2012 presentation)
Mike Kuniavsky
ow do you design experiences that transcend a single device, or even a family of devices? How do you create experiences that exist simultaneously in your hand and in the cloud? Using plentiful examples drawn from cutting edge products and the history of technology, this workshop describes underlying trends, shows the latest developments and asks some broader questions.
2012 ux lx-workshop_0.3-2
2012 ux lx-workshop_0.3-2
Mike Kuniavsky
How do you design experiences that transcend a single device, or even a family of devices? How do you create experiences that exist simultaneously in your hand and in the cloud? Using plentiful examples drawn from cutting edge products and the history of technology, this workshop describe underlying trends, show the latest developments and ask some broader questions.
Designing Smart Things: User Experience Design for Networked Devices (UX-LX W...
Designing Smart Things: User Experience Design for Networked Devices (UX-LX W...
Mike Kuniavsky
(FULL TRANSCRIPT IN SLIDE NOTES) The technologies underlying most current Internet of Things visions are not particularly revolutionary. That of course doesn't mean that the visions are not compelling, just that the challenges in creating these visions have little to do with building new technologies. The challenge is to identify what people want and need, and how -- or if -- automatic identification, distributed processing, and pervasive networking can help address those needs and desires. We need to think about how we’re going to create the Google of Things, the Facebook of Things, the Foursquare of Things, the PayPal of Things, the Farmville of Things. It's not about the infrastructure, it's about the applications, and the applications are about people.
The Internet of People: Integrating IoT Technologies is Not a Technical Probl...
The Internet of People: Integrating IoT Technologies is Not a Technical Probl...
Mike Kuniavsky
(Look at slide notes for full transcript) How can digital hardware startups be more like Github and less like General Motors? The pieces that fell together to create the ecosystem of tools and business models that lead to the creation of Eric Ries' Lean Startup model for online products are now falling into place in the hardware sector. We're about to see an explosion of hardware startups based on the same ideas. Technological, social and financial changes are coming together to allow entrepreneurs to rapidly iterate new digital devices focused on customer needs. These core elements create a new way to conceptualize the development of digital hardware products. This talk will examine the components that are creating this change and suggest some directions we can expect things to go, and how we can take advantage of it.
Lean hardware startups: elements of a ubiquitous computing innovation ecosystem
Lean hardware startups: elements of a ubiquitous computing innovation ecosystem
Mike Kuniavsky
As more products, from tablets to bathroom scales to washing machines go online, our relationship to them changes. We start to think of them as representatives of online services, and to think of services as represented by products. Ubiquitous computing changes our understanding of where the boundaries of a hardware product and a service stop, and fundamentally challenges how we design both.
Products are Services, how ubiquitous computing changes design
Products are Services, how ubiquitous computing changes design
Mike Kuniavsky
Every technology’s most profound social and cultural changes are invisible at the outset. Cheap information processing and networking technology is a brand new phenomenon, culturally speaking, and quickly changing the world in fundamental ways. Designers align the capabilities of a technology with people’s lives, so it is designers who have the power and responsibility to think about what this means.
Unintended Consequences: design [in|for|and] the age of ubiquitous computing
Unintended Consequences: design [in|for|and] the age of ubiquitous computing
Mike Kuniavsky
The pieces of the innovation ecosystem for the Internet of Things and Ubicomp are in place. They're: Object Oriented Hardware, Cheap Assembly, Anchors in the Cloud, Social Design Collaboration Tools, The Arduino, Low Volume Sales Channels
The Internet of Things to Come: elements of a ubiquitous computing innovation...
The Internet of Things to Come: elements of a ubiquitous computing innovation...
Mike Kuniavsky
In this workshop Mike Kuniavsky, author of "Smart Things: ubiquitous computing user experience design" introduces concepts of user experience design for the post-PC/post-phone world. How do you design experiences that transcend a single device, or even a family of devices? How do you create experiences that exist simultaneously in your hand and in the cloud? Using plentiful examples drawn from cutting edge products and the history of technology, the workshop describes underlying trends, shows the latest developments and asks broader questions. This presentation introduces fundamental concepts of ubiquitous computing user experience design and specific techniques for designing services and interfaces. Topics include: - Design for multiple scales - Design for services used by multiple devices - Rethinking everyday objects and experiences - Understanding use context
Designing Smart Things: user experience design for networked devices
Designing Smart Things: user experience design for networked devices
Mike Kuniavsky
Get notes and the full transcript here: http://orangecone.com/archives/2011/05/somatic_data_pe.html Augmented reality is the extension of our senses into the realm of information shadows where physical objects have data representations that can be manipulated digitally as we manipulate objects physically. To me this goes further than putting a layer of information over the world, like a veil. It’s about enhancing the direct experience of the world, not to replace it, and to do it in a way that’s not about being completely in the background, like ambient data weather, or about taking over our attention. I’m advocating a change in language away from “augmented reality” to something that’s more representative of the whole experience of data in the environment. I’m calling it “Somatic Data Perception.”
Somatic Data Perception: Sensing Information Shadows
Somatic Data Perception: Sensing Information Shadows
Mike Kuniavsky
We’re about to see a precambrian explosion of device-types that span uses, scales, and continents as we collectively stumble around and try to figure out what it means when many people have many devices and they’re telling many interwoven stories with them simultaneously.
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Mike Kuniavsky
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We have passed the era of Peak MHz. The race in CPU development is now for smaller, cheaper, and less power-hungry processors. As the price of powerful CPUs approaches that of basic components, how information processing is used—and how to design with/for it—fundamentally changes. When information processing is this cheap, it becomes a material with which to design the world, like plastic, iron, and wood. This vision argues that most information processing in the near future will not be in some distant data center, but immediately present in our environment, distributed throughout the world, and embedded in things we don't think of as computers (or even as "phones"). This talk will discuss what it means to treat information as a material, the properties of information as a design material, the possibilities created by information as a design material, and approaches for designing with information. Information as a material enables The Internet of Things, object-oriented hardware, smart materials, ubiquitous computing, and intelligent environments.
Information is a Material (Mobile Monday talk transcript)
Information is a Material (Mobile Monday talk transcript)
Mike Kuniavsky
We have passed the era of Peak MHz. The race in CPU development is now for smaller, cheaper, and less power-hungry processors. As the price of powerful CPUs approaches that of basic components, how information processing is used--and how to design for/with it--fundamentally changes. When information processing is this cheap, it becomes a material with which to design the world, like plastic, iron, and wood. This vision argues that most information processing in the near future will not be in some distant data center, but immediately present in our environment, distributed throughout the world, and embedded in things we don't think of as computers (or even as "phones"). This talk discusses what it means to treat information as a material, the properties of information as a design material, the possibilities created by information as a design material, and approaches for designing with information. Information as a material enables The Internet of Things, object-oriented hardware, smart materials, ubiquitous computing, and intelligent environments, and services. (talk given at the University of Michigan's School of Information on 11/1/10 and at Stanford's HCI Group)
Information is a Material. Products are Services.
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Discord is a free app offering voice, video, and text chat functionalities, primarily catering to the gaming community. It serves as a hub for users to create and join servers tailored to their interests. Discord’s ecosystem comprises servers, each functioning as a distinct online community with its own channels dedicated to specific topics or activities. Users can engage in text-based discussions, voice calls, or video chats within these channels. Understanding Discord Servers Discord servers are virtual spaces where users congregate to interact, share content, and build communities. Servers may revolve around gaming, hobbies, interests, or fandoms, providing a platform for like-minded individuals to connect. Communication Features Discord offers a range of communication tools, including text channels for messaging, voice channels for real-time audio conversations, and video channels for face-to-face interactions. These features facilitate seamless communication and collaboration. What Does NSFW Mean? The acronym NSFW stands for “Not Safe For Work,” indicating content that may be inappropriate for professional or public settings. NSFW Content NSFW content encompasses material that is sexually explicit, violent, or otherwise graphic in nature. It often includes nudity, profanity, or depictions of sensitive topics.
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The value of a flexible API Management solution for Open Banking Steve Melan, Manager for IT Innovation and Architecture - State's and Saving's Bank of Luxembourg Apidays New York 2024: The API Economy in the AI Era (April 30 & May 1, 2024) ------ Check out our conferences at https://www.apidays.global/ Do you want to sponsor or talk at one of our conferences? https://apidays.typeform.com/to/ILJeAaV8 Learn more on APIscene, the global media made by the community for the community: https://www.apiscene.io Explore the API ecosystem with the API Landscape: https://apilandscape.apiscene.io/
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Open Hardware and Design
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Innovation Lab, March 19, 2009 Open Hardware and Design
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Mike Kuniavsky [email_address]
Jetzt herunterladen