Given the ever-evolving nature of AI, programmers need to continuously improve and refine their a... more Given the ever-evolving nature of AI, programmers need to continuously improve and refine their algorithms. In Chapter 1, we saw how algorithms are improved and often repurposed for different tasks, such as the credit card fraud detection system called Falcon that Craig Nies described had its roots in a visual system to detect military targets. Essentially, the foundation for pattern recognition to differentiate battlefield equipment from surrounding landscapes was applied to recognize patterns of fraud in credit card data.
Access to computing power is at our fingertips. In the palm of our hands, the mobile phones we ho... more Access to computing power is at our fingertips. In the palm of our hands, the mobile phones we hold are smarter than desktop machines that sat on our office spaces a decade ago. Still in our lifetime, the small screen that we stare at to read news, check email, or play a game has the computing power that used to take up an entire room as a mainframe computer. With this power comes connectivity that gives us access to information. The convergence of computing power, connectivity, and data opens the doors to so much more. Simplistically, these connected devices form what is called the Internet of Things (IoT). And now, companies are embedding many of these devices with AI. What started with voice-enabled platforms connecting to IoT devices now has broader implications of bringing intelligence to what would be ubiquitous computing. ■ Definition Ubiquitous computing describes a state in which we interact with computers throughout our daily lives without even considering them as computers. 1 UBIQUITIOUS COMPUTING GAVIN: As we enter into the 2020s, we are creeping ever closer to a state of ubiquitous computing. The rapid growth of the Internet of Things (IoT) and increased connectivity could mean AI could learn from your behaviors and predict your habits. For example, your thermostat in your house might know you like to keep the temperature at 73 degrees Fahrenheit when you are home. When you leave for work, the system reduces the temperature, but as you drive home, the system turns it back up. You don't even think twice about the devices or connectivity to make this happen. It just works. You walk into the house, and ahhh. BOB: You said a crucial part at the end there: "it just works." For it to "just work," the UX has to build trust. The virtual assistant has to understand exactly what your query means, communicate it to your thermostat, and do it in a timely and consistent fashion so that you'll learn to trust it. Only if you trust it will you feel like it "just works." ■ The point We are at a unique moment where ubiquitous computing is here, but what will make the difference is the experience. Moving toward ubiquitous computing requires us to develop products with the kind of UX that reduces barriers between the user and the device. In the medical technology space, there are already ubiquitous computing tools-medical instruments that are connected to the Internet of Things. These are not necessarily AI in and of themselves, but their data could be fed into AI systems. There are already Internet-enabled medical instruments numbering in the millions, 2 and there will likely only be more in the years to come. The number of things that are "smart" or "Internet enabled" is in the billions. Just walk through the Consumer Electronics Show in Las Vegas every year and you'll see some really far out stuff that's smart: fishing rods, fabrics, forks, and soccer balls to name a few.
Trademarked names, logos, and images may appear in this book. Rather than use a trademark symbol ... more Trademarked names, logos, and images may appear in this book. Rather than use a trademark symbol with every occurrence of a trademarked name, logo, or image we use the names, logos, and images only in an editorial fashion and to the benefit of the trademark owner, with no intention of infringement of the trademark. The use in this publication of trade names, trademarks, service marks, and similar terms, even if they are not identified as such, is not to be taken as an expression of opinion as to whether or not they are subject to proprietary rights.
When we look at the ground we have covered so far in this book, we see how AI and UX have some co... more When we look at the ground we have covered so far in this book, we see how AI and UX have some common DNA. Both started with the advent of computers and both with a desire to create a better world. We saw how UX evolved from a need to bring the information age closer to everyone. , AI grew similarly—with some fits and starts—and is now in the mainstream of conversation.
Given the ever-evolving nature of AI, programmers need to continuously improve and refine their a... more Given the ever-evolving nature of AI, programmers need to continuously improve and refine their algorithms. In Chapter 1, we saw how algorithms are improved and often repurposed for different tasks, such as the credit card fraud detection system called Falcon that Craig Nies described had its roots in a visual system to detect military targets. Essentially, the foundation for pattern recognition to differentiate battlefield equipment from surrounding landscapes was applied to recognize patterns of fraud in credit card data.
Publisher Summary This chapter elucidates the concept and process of project management. It opens... more Publisher Summary This chapter elucidates the concept and process of project management. It opens with an overview of the concept of engaging stakeholders in research. Stakeholder engagement throughout a project is integral to success. The more a stakeholder participates in the research, including observing as many sessions in as many countries as possible, the greater the potential support for, and acceptance of, the study's findings. Following this, the chapter explains the process of planning for international studies. With a global user research project, there are many factors that must be managed to ensure that the study and output are consistent, reliable, and valid. The planning activities involved when conducting global projects are described. Furthermore, this chapter takes a look at the issue of finding quality in-country resources. Some considerations include ensuring the presence of stakeholders or customers on-site if the project is particularly complex and if the r...
In this chapter, we’re going to take you through some key milestones of both AI and UX, pointing ... more In this chapter, we’re going to take you through some key milestones of both AI and UX, pointing out lessons we take from the formation of the two fields. While the histories of AI and UX can fill entire volumes of their own, we will focus on specific portions of each.
Name any field that’s full of complex, intractable problems and that has gobs of data, and you’ll... more Name any field that’s full of complex, intractable problems and that has gobs of data, and you’ll find a field that is actively looking to incorporate artificial intelligence (AI). There are direct consumer applications of AI, from virtual assistants like Alexa and Siri to the algorithms powering Facebook and Twitter’s timelines, to the recommendations that shape our media consumption habits on Netflix and Spotify. MIT is investing over a billion dollars to reshape its academic program to “create a new college that combines AI, machine learning, and data science with other academic disciplines.” The college started September 2019 and will expand into an entirely new space in 2022. Even in areas where you’d not expect to find a whiff of AI, it emerges: in the advertising campaign to its new fragrance called Y, Yves Saint Laurent showcased a model who is a Stanford University graduate and a researcher in machine vision. The commercial showcases AI as hip and cool—even displaying lines of Python code, as well as striking good looks to sell a fragrance line. AI has truly achieved mainstream appeal in a manner not seen before. AI is no longer associated with geeks and nerds. AI now sells product.
Nineteen patients with late luteal phase dysphoric disorder (LLPDD) and 11 healthy comparison sub... more Nineteen patients with late luteal phase dysphoric disorder (LLPDD) and 11 healthy comparison subjects underwent a 3-month crossover trial of bright (more than 2500 lux) white morning, bright white evening, and placebo dim (less than 10 lux) red evening light, administered daily for 1 week during the premenstrual phase of the menstrual cycle. All light treatments significantly reduced depressive ratings from baseline levels.
Proceedings of the Human Factors and Ergonomics Society Annual Meeting, 2015
Note: Slides from the panelists’ presentations will be available on the User Experience Day archi... more Note: Slides from the panelists’ presentations will be available on the User Experience Day archive website and on Slideshare after the meeting for your viewing pleasure. This year is the 25th anniversary of the ADA which gives us a chance to reflect on the relationship between accessibility and experience design practices for the web and consumer products. This panel brings together five viewpoints to discuss how to incorporate accessibility into user-centered design. Accessibility aims to remove barriers for people with disabilities by allowing them to perceive, navigate, and interact with web applications, tools, and mobile devices. These panelists explore the idea that designing for people with disabilities improves the experience for all users. By discussing the challenges in each of their industries, the panelists talk about how and when accessibility enters into their design thinking. Overall, our goal is spur dialogue on how to promote more inclusive practices.
Proceedings of the Human Factors and Ergonomics Society Annual Meeting, 1995
Throughout the last two years, we have been involved in an ambitious plan to move support documen... more Throughout the last two years, we have been involved in an ambitious plan to move support documentation to an electronic document delivery system at Ameritech The purpose of this panel is to provide a discussion of the human factors issues involved and the effort required to move from a paper-based environment to an electronic document management and delivery system. The starting state of Ameritech's documentation was similar to that of many large companies that have complex processes. The documents were written by dozens of authors over several years and varied widely in quality. Standards were loosely followed, if at all, and users were continually frustrated by their inability to find information. This unwieldy environment had countless direct and indirect impacts on customers, as well as on the bottom line. As we scoped the project we discovered that our challenges were legion: • Design a new document specification that fit the needs of the users, worked well on-line, exploi...
As practitioners we spend a great deal of effort designing and testing products within the confin... more As practitioners we spend a great deal of effort designing and testing products within the confines of usability testing labs when we know that a rich user experience lies outside. What is needed is more research in "the wild" where people use the very interfaces we take so much time to design, test, iterate, and develop. Through innovative advancements in mobile technology, we can expand upon the tried and true "experience sampling" research techniques, such as diary or pager studies, to effectively solicit, monitor and receive data on users' interactions at given points in time. This paper describes various research methodologies and recent advancements in mobile technology that can provide practitioners with improved research techniques to better assess the user experience of a product. The conference presentation will also include results from a pilot experience sampling method study focused on collecting data on usage and satisfaction of a product.
Given the ever-evolving nature of AI, programmers need to continuously improve and refine their a... more Given the ever-evolving nature of AI, programmers need to continuously improve and refine their algorithms. In Chapter 1, we saw how algorithms are improved and often repurposed for different tasks, such as the credit card fraud detection system called Falcon that Craig Nies described had its roots in a visual system to detect military targets. Essentially, the foundation for pattern recognition to differentiate battlefield equipment from surrounding landscapes was applied to recognize patterns of fraud in credit card data.
Access to computing power is at our fingertips. In the palm of our hands, the mobile phones we ho... more Access to computing power is at our fingertips. In the palm of our hands, the mobile phones we hold are smarter than desktop machines that sat on our office spaces a decade ago. Still in our lifetime, the small screen that we stare at to read news, check email, or play a game has the computing power that used to take up an entire room as a mainframe computer. With this power comes connectivity that gives us access to information. The convergence of computing power, connectivity, and data opens the doors to so much more. Simplistically, these connected devices form what is called the Internet of Things (IoT). And now, companies are embedding many of these devices with AI. What started with voice-enabled platforms connecting to IoT devices now has broader implications of bringing intelligence to what would be ubiquitous computing. ■ Definition Ubiquitous computing describes a state in which we interact with computers throughout our daily lives without even considering them as computers. 1 UBIQUITIOUS COMPUTING GAVIN: As we enter into the 2020s, we are creeping ever closer to a state of ubiquitous computing. The rapid growth of the Internet of Things (IoT) and increased connectivity could mean AI could learn from your behaviors and predict your habits. For example, your thermostat in your house might know you like to keep the temperature at 73 degrees Fahrenheit when you are home. When you leave for work, the system reduces the temperature, but as you drive home, the system turns it back up. You don't even think twice about the devices or connectivity to make this happen. It just works. You walk into the house, and ahhh. BOB: You said a crucial part at the end there: "it just works." For it to "just work," the UX has to build trust. The virtual assistant has to understand exactly what your query means, communicate it to your thermostat, and do it in a timely and consistent fashion so that you'll learn to trust it. Only if you trust it will you feel like it "just works." ■ The point We are at a unique moment where ubiquitous computing is here, but what will make the difference is the experience. Moving toward ubiquitous computing requires us to develop products with the kind of UX that reduces barriers between the user and the device. In the medical technology space, there are already ubiquitous computing tools-medical instruments that are connected to the Internet of Things. These are not necessarily AI in and of themselves, but their data could be fed into AI systems. There are already Internet-enabled medical instruments numbering in the millions, 2 and there will likely only be more in the years to come. The number of things that are "smart" or "Internet enabled" is in the billions. Just walk through the Consumer Electronics Show in Las Vegas every year and you'll see some really far out stuff that's smart: fishing rods, fabrics, forks, and soccer balls to name a few.
Trademarked names, logos, and images may appear in this book. Rather than use a trademark symbol ... more Trademarked names, logos, and images may appear in this book. Rather than use a trademark symbol with every occurrence of a trademarked name, logo, or image we use the names, logos, and images only in an editorial fashion and to the benefit of the trademark owner, with no intention of infringement of the trademark. The use in this publication of trade names, trademarks, service marks, and similar terms, even if they are not identified as such, is not to be taken as an expression of opinion as to whether or not they are subject to proprietary rights.
When we look at the ground we have covered so far in this book, we see how AI and UX have some co... more When we look at the ground we have covered so far in this book, we see how AI and UX have some common DNA. Both started with the advent of computers and both with a desire to create a better world. We saw how UX evolved from a need to bring the information age closer to everyone. , AI grew similarly—with some fits and starts—and is now in the mainstream of conversation.
Given the ever-evolving nature of AI, programmers need to continuously improve and refine their a... more Given the ever-evolving nature of AI, programmers need to continuously improve and refine their algorithms. In Chapter 1, we saw how algorithms are improved and often repurposed for different tasks, such as the credit card fraud detection system called Falcon that Craig Nies described had its roots in a visual system to detect military targets. Essentially, the foundation for pattern recognition to differentiate battlefield equipment from surrounding landscapes was applied to recognize patterns of fraud in credit card data.
Publisher Summary This chapter elucidates the concept and process of project management. It opens... more Publisher Summary This chapter elucidates the concept and process of project management. It opens with an overview of the concept of engaging stakeholders in research. Stakeholder engagement throughout a project is integral to success. The more a stakeholder participates in the research, including observing as many sessions in as many countries as possible, the greater the potential support for, and acceptance of, the study's findings. Following this, the chapter explains the process of planning for international studies. With a global user research project, there are many factors that must be managed to ensure that the study and output are consistent, reliable, and valid. The planning activities involved when conducting global projects are described. Furthermore, this chapter takes a look at the issue of finding quality in-country resources. Some considerations include ensuring the presence of stakeholders or customers on-site if the project is particularly complex and if the r...
In this chapter, we’re going to take you through some key milestones of both AI and UX, pointing ... more In this chapter, we’re going to take you through some key milestones of both AI and UX, pointing out lessons we take from the formation of the two fields. While the histories of AI and UX can fill entire volumes of their own, we will focus on specific portions of each.
Name any field that’s full of complex, intractable problems and that has gobs of data, and you’ll... more Name any field that’s full of complex, intractable problems and that has gobs of data, and you’ll find a field that is actively looking to incorporate artificial intelligence (AI). There are direct consumer applications of AI, from virtual assistants like Alexa and Siri to the algorithms powering Facebook and Twitter’s timelines, to the recommendations that shape our media consumption habits on Netflix and Spotify. MIT is investing over a billion dollars to reshape its academic program to “create a new college that combines AI, machine learning, and data science with other academic disciplines.” The college started September 2019 and will expand into an entirely new space in 2022. Even in areas where you’d not expect to find a whiff of AI, it emerges: in the advertising campaign to its new fragrance called Y, Yves Saint Laurent showcased a model who is a Stanford University graduate and a researcher in machine vision. The commercial showcases AI as hip and cool—even displaying lines of Python code, as well as striking good looks to sell a fragrance line. AI has truly achieved mainstream appeal in a manner not seen before. AI is no longer associated with geeks and nerds. AI now sells product.
Nineteen patients with late luteal phase dysphoric disorder (LLPDD) and 11 healthy comparison sub... more Nineteen patients with late luteal phase dysphoric disorder (LLPDD) and 11 healthy comparison subjects underwent a 3-month crossover trial of bright (more than 2500 lux) white morning, bright white evening, and placebo dim (less than 10 lux) red evening light, administered daily for 1 week during the premenstrual phase of the menstrual cycle. All light treatments significantly reduced depressive ratings from baseline levels.
Proceedings of the Human Factors and Ergonomics Society Annual Meeting, 2015
Note: Slides from the panelists’ presentations will be available on the User Experience Day archi... more Note: Slides from the panelists’ presentations will be available on the User Experience Day archive website and on Slideshare after the meeting for your viewing pleasure. This year is the 25th anniversary of the ADA which gives us a chance to reflect on the relationship between accessibility and experience design practices for the web and consumer products. This panel brings together five viewpoints to discuss how to incorporate accessibility into user-centered design. Accessibility aims to remove barriers for people with disabilities by allowing them to perceive, navigate, and interact with web applications, tools, and mobile devices. These panelists explore the idea that designing for people with disabilities improves the experience for all users. By discussing the challenges in each of their industries, the panelists talk about how and when accessibility enters into their design thinking. Overall, our goal is spur dialogue on how to promote more inclusive practices.
Proceedings of the Human Factors and Ergonomics Society Annual Meeting, 1995
Throughout the last two years, we have been involved in an ambitious plan to move support documen... more Throughout the last two years, we have been involved in an ambitious plan to move support documentation to an electronic document delivery system at Ameritech The purpose of this panel is to provide a discussion of the human factors issues involved and the effort required to move from a paper-based environment to an electronic document management and delivery system. The starting state of Ameritech's documentation was similar to that of many large companies that have complex processes. The documents were written by dozens of authors over several years and varied widely in quality. Standards were loosely followed, if at all, and users were continually frustrated by their inability to find information. This unwieldy environment had countless direct and indirect impacts on customers, as well as on the bottom line. As we scoped the project we discovered that our challenges were legion: • Design a new document specification that fit the needs of the users, worked well on-line, exploi...
As practitioners we spend a great deal of effort designing and testing products within the confin... more As practitioners we spend a great deal of effort designing and testing products within the confines of usability testing labs when we know that a rich user experience lies outside. What is needed is more research in "the wild" where people use the very interfaces we take so much time to design, test, iterate, and develop. Through innovative advancements in mobile technology, we can expand upon the tried and true "experience sampling" research techniques, such as diary or pager studies, to effectively solicit, monitor and receive data on users' interactions at given points in time. This paper describes various research methodologies and recent advancements in mobile technology that can provide practitioners with improved research techniques to better assess the user experience of a product. The conference presentation will also include results from a pilot experience sampling method study focused on collecting data on usage and satisfaction of a product.
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Papers by Gavin Lew