Designing for the Prime Interface
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This document discusses the relationship between humans and information in the context of the Internet of Things (IoT). It notes that as data and technology become more integrated into the physical world, the line between the digital and physical is blurring. The document advocates for an approach called "Prime Interfaces" that aims to optimize contextual utility to determine where and how humans should interact with information. This is achieved by analyzing factors like the problem, solution, human needs, data attributes, and time to solution to create interfaces that are accessible, contextualized and maximize benefit for users. Examples discussed include smart home devices, social robots and augmented reality systems.
Designing for the Prime Interface
- 1. The Electricity Between Us: Humans and Information Ben Taylor | Technical Product Designer, Integrated Play at Hasbro #PrimeInterface
- 2. Whois • HCI with a focus on motivating interaction = Entertainment Technologist • At Hasbro I invent and develop technical products, or ”Smart Toys”, and technologies that allow users to interact with data.
- 3. 2000 - 2006
- 4. 2007 - 2010
- 5. 2011 - 2014
- 6. 2014 - Now
- 7. What this talk is about
- 8. What this talk is about • The Internet of Things
- 9. What this talk is about • The Internet of Things
- 10. What this talk is about • The Internet of Things The Internet
- 11. What this talk is about • The Internet of Things The Internet Things
- 12. What this talk is about • The Internet of Things Digital Physical
- 13. What this talk is about • The Internet of Things Digital PhysicalInterface
- 14. “Information Wants to be Free” Today’s Internet – Where We’ve Gone
- 15. On the one hand information wants to be expensive, because it's so valuable. The right information in the right place just changes your life. On the other hand, information wants to be free, because the cost of getting it out is getting lower and lower all the time. So you have these two fighting against each other. - Stewart Brand to Steve Wozniak, Hackers Conference in 1984
- 16. On the one hand information wants to be expensive, because it's so valuable. The right information in the right place just changes your life. On the other hand, information wants to be free, because the cost of getting it out is getting lower and lower all the time. So you have these two fighting against each other. - Stewart Brand to Steve Wozniak, Hackers Conference in 1984
- 18. The Vector of Data vs Users
- 19. The Vector of Data vs Users
- 20. The Vector of Data vs Users
- 30. The Vector of Data vs Users • Convergent fields:
- 31. The Vector of Data vs Users • Convergent fields: Escalating User Vector - We’re moving deeper into technology - Interactive Input: Social Media, Video Games, etc. - VR - Neuralink - Digitized Consciousness Escalating Data Vector - Data is coming out into the world - Passively Consumed Output: Physical Media (Print, TV, Film), etc. - AR - Robots - Self-Aware Humanoid Robots
- 37. Interfaces in Coding • What “should” we do?
- 38. Interfaces in Coding • What “should” we do? • Use Design Patterns.
- 39. Behavioral Pattern: State Machine Digital Context + Request() state -> Handle() State + Handle() Interface State A + Handle() Interface State B + Handle() - state
- 40. Structural Pattern: Adapter Client Interface Target + Request() Adapter + Request() adaptee -> SpecificRequest() Adaptee + SpecificRequest() - adaptee
- 41. Creational Pattern: Factory Product ConcreteProduct ConcreteCreator + FactoryMethod() return new ConcreteProduct Creator + FactoryMethod() + AnOperation() << instantiate >>
- 42. Design Patterns for the Right Jobs • Behavioral Patterns: • Chain of Responsibility • Command Interpreter • Iterator • Mediator • Memento • Observer • State Machine • Strategy • Template • Method Visitor • Structural Patterns: • Adapter • Bridge • Composite • Decorator • Facade • Flyweight • Proxy • Creational Patterns: • Abstract Factory • Builder • Factory • Prototype • Singleton
- 43. Interfaces in Coding • What “should” we do? • Use Design Patterns.
- 44. Interfaces in Coding • What “should” we do? • Use Design Patterns. • The Right Information in the Right Place
- 45. I, Robot Tomorrow’s Internet – Where We’re Going
- 46. The Singularity is Near
- 47. The Singularity is Here
- 48. Virtual Worlds
- 51. in
- 55. Digital Physical EndStart Start Emphasis on Immersion One Size Fits All
- 59. Data’s Embodiment An Internet for Everything – The Challenge for IoT
- 60. Price Per Computing • IoT is increasingly cost-effective (Sensors, Moore's Law) • Big players are moving on the space • It’s increasingly easier and easier to prototype
- 61. The Distinction Between Intelligence and Utility • They usually go hand-in-hand, but access to data is nuanced.
- 67. Digital Physical EndStart Start Bespoke Reliant on Real World Perception / Cost
- 68. Well, which is it?! • When should data change to accommodate us? • When should we change to accommodate data?
- 69. Prime Interfaces optimize contextual utility when determining where a human and information should meet.
- 70. Prime Interfaces optimize contextual utility when determining where a human and information should meet.
- 71. Prime Interfaces optimize contextual utility when determining where a human and information should meet.
- 72. The right information in the right place just changes your life. - Stewart Brand
- 73. Determining Contextual Utility - Problem - Solution - Human Vector - Data Vector - Velocity to Solution: - Friction (Drive; aka Motivation/Desire, Accessibility; aka Ease- of-Use, Size of Demographic; aka ”which” humans) - Time Where does it exist? What will it take to get there? How does it come? When will I get the solution?
- 76. Information Humans Digital Physical WhoWho Why Why Where What When How Much Where What When How Much v v End
- 77. Amazon Echo & Google Home
- 81. Cortana • Existing Precedent • Low Cost
- 82. Aibo • It comes to you. • Familiar, formed from the real world. • Engaging.
- 83. Information Humans Digital Physical WhoWho Why Why Where What When How Much Where What When How Much v v End
- 84. Information Humans Digital Physical WhoWho Why Why Where What When How Much Where Prime Morphology When How Much v v End
- 85. Information Humans Digital Physical WhoWho Why Why Where Prime Accessibility When How Much Where Prime Morphology When How Much v v End
- 86. Information Humans Digital Physical WhoWho Why Why Where Prime Accessibility When How Much Prime Instatement Prime Morphology When How Much v v End
- 87. Information Humans Digital Physical WhoWho Why Why Prime Destination Prime Accessibility When How Much Prime Instatement Prime Morphology When How Much v v End
- 88. Information Humans Digital Physical WhoWho Why Why Prime Destination Prime Accessibility When How Much Prime Instatement Prime Morphology Prime Context How Much v v End
- 89. Information Humans Digital Physical WhoWho Why Why Prime Destination Prime Accessibility Prime Interval How Much Prime Instatement Prime Morphology Prime Context How Much v v End
- 90. Information Humans Digital Physical WhoWho Why Why Prime Destination Prime Accessibility Prime Interval How Much Prime Instatement Prime Morphology Prime Context Prime Utility v v End
- 91. Information Humans Digital Physical WhoWho Why Why Prime Destination Prime Accessibility Prime Interval Prime Agency Prime Instatement Prime Morphology Prime Context Prime Utility v v End
Editor's Notes
- #3: 5-10 mins
- #4: Worked with the company that created these hardware peripherals that interfaced with digital games
- #5: Worked with the company that created these hardware peripherals that interfaced with digital games
- #6: Worked with the company that created these hardware peripherals that interfaced with digital games
- #7: Worked with the company that created these hardware peripherals that interfaced with digital games
- #8: Don’t worry, this talk isn’t about the chemistry between me and you, the audience…
- #9: It’s of course about the Internet of Things But let’s take a moment to decode this term.
- #10: The cloud isn’t actually a tangible thing – it’s a network of computers bound together by the free flowing movement of information. That ubiquitous source of information we all refer to as THE Internet.
- #11: And by ”things” we’re referring to our smart devices that are connected to the internet, such as mobile devices, televisions, lightbulbs, etc.
- #12: But what are we really saying?
- #13: There is digital information we want to get to and it’s provided by and connected with some sort of physical object, all those things. In fact, we are those things as well. We provide and connect with data. This talk is about that connection – and where we’re going with it.
- #14: We’re going to talk about our proximity to data and how we are becoming increasingly closer to it via several technical product fields.
- #15: 11:45 | 15 min Foundation Summary Take Away: There are existing vectors of movement between us and information
- #16: What does ”Free” mean here? This quote talks about a conflict between the inherently immaterial form of data in proximity to it’s utility to people.
- #17: Let’s talk about ”the right information in the right place” and the value of that.
- #19: Let’s talk about a valuable piece of information that you, a user, might want.
- #20: Does everyone here know this guy? Who is he? Pikachu! And what do you have to do with him?
- #21: Catch him! But how? He’s not real and you are.
- #23: Well it’s mobile – which means the data is accommodating our physical needs
- #25: But we are largely immersing ourselves into the virtual world and changing our behaviors to accommodate where the data lives.
- #27: Data comes to us
- #28: And overlays on our world
- #31: In all of these instances, the gap is being closed between us and the information. The “Singularity” is here. IoT, like MR, is a middleground
- #32: The “Singularity” is here. IoT, like MR, is a middleground
- #38: The right answer versus the BEST answer
- #40: Do we have a system with lots of states where keeping track of code for different states is difficult. Allow the object to alter it behavior when its internal state change.
- #41: Do we have the right stuff but wrong interface. We use the adapter design pattern where the requirements is to convert between one interface to another. Adapter pattern is never implemented when designing a new system but with the changing requirements we have deferring interfaces then adapter comes into picture.
- #42: Do we need to have derived classes figure out what to instantiate and decouple client from instantiated class. Client uses the factory to create products and its the factory which decides when the actual product is needed for instantiation. This way client decouples the instance and can be saved from some of the crucial operations of object copy if the type of object may change after creation.
- #46: 12:00 | The Future is Now – Incremental Progress of IoT Futuring concepts Take Away: We are leaning heavily into us moving deeper into digital
- #47: Know this book? How many people think in their lifetimes there will be a digital versions of themselves? Raise your hand. Talk about what the singularity is: the inevitable convergence
- #48: Like self-driving cars, the singularity is already incrementally happenings through digital identities and search. Nothing lives forever, but he has already been immortalized in his writing. What more does he want? He wants to interface.
- #53: But we are largely immersing ourselves into the virtual world and changing our behaviors to accommodate where the data lives.
- #56: Smart phones and personal computers focus on broad utility…. Intially as a result of cost. Mass Market
- #57: We live in a human-centric world. For data to best interact with our world, it needs a humanoid interface.
- #59: Wheel made for hand turning Cars have steering wheels and seats.
- #60: 12:15 | Action Items – where we can take the future of IoT to purpose-driven devices Take Away: We should be moving data out to us and our world… through IoT
- #61: It’s cheap and getting cheaper to pursue IoT
- #62: Jeff Bezos when hiring into leadership: ”I want someone who’s often right, not necessarily the smartest.” It was revealed by Suzy Welch that when Jeff Bezos hires into leadership that he doesn’t care “how smart they are” He’d rather “see a track record of hard decisions that ended up being right.”
- #69: Homogeneity versus Heterogeneity
- #70: Let’s talk about ”the right information in the right place” and the value of that.
- #71: Let’s talk about ”the right information in the right place” and the value of that.
- #72: Let’s talk about ”the right information in the right place” and the value of that.
- #73: Let’s talk about ”the right information in the right place” and the value of that.
- #74: 0 is completely unusable; aka solution to the problem will never be met, 1 is completely usable; aka human and data are one./ over time
- #75: Designing the best, or “prime”, interface for a purpose.
- #77: Convergence isn’t just about coming together, it’s about where the human and the data should end up converging to maximize utility. Human-centered interfaces strive to get data to the user (maximizing data displacement) in as little time as possible with as little effort (force) at possible.
- #81: Wasn’t there another?
- #82: How many people here have a LinkedIn? How many people here have a Windows Phone? Windows phone versus windows lifestyle.
- #85: Does the data exist in the right form to be best consumed by a user?
- #86: Is the user’s body best able to use this system? Brail.
- #87: Data storage Banking systems and security
- #88: Is this the locale where I’ll need this information? Translation apps on mobile
- #89: How best can the system know the state of the user to know when to deliver information even before it’s requested. Context. Smart home knowing where you’re in the house.
- #90: Is the system ready for my input when I’m ready to deliver it? Voice assistants and wake words. You have to wait.
- #91: Is the data being presented, perfectly meet the utility of the user in this context?
- #92: Is the user proficiently interfacing with the system to precisely communicate a desired result? Parents and the VCR. you’re not using it right.
- #93: 12:20 | 5-10 minutes for Questions