Automagically: A Primer to The Connection System of Things

1,343 views

Published on

An introduction to sensor technology and Web 4.0 for experience designers.

Published in: Design
0 Comments
2 Likes
Statistics
Notes
  • Be the first to comment

No Downloads
Views
Total views
1,343
On SlideShare
0
From Embeds
0
Number of Embeds
111
Actions
Shares
0
Downloads
32
Comments
0
Likes
2
Embeds 0
No embeds

No notes for slide







  • Which leads us back to What is Experience design









  • Which leads us back to What is Experience design
  • Which leads us back to What is Experience design
  • Which leads us back to What is Experience design




  • Which leads us back to What is Experience design
  • Which leads us back to What is Experience design
  • Which leads us back to What is Experience design


  • In experience design we consider all of these things
  • In experience design we consider all of these things
  • In experience design we consider all of these things
  • In experience design we consider all of these things
  • In experience design we consider all of these things
  • In experience design we consider all of these things
  • In experience design we consider all of these things
  • In experience design we consider all of these things
  • In experience design we consider all of these things
  • In experience design we consider all of these things
  • In experience design we consider all of these things
  • In experience design we consider all of these things
  • In experience design we consider all of these things
  • In experience design we consider all of these things
  • Which leads us back to What is Experience design
  • Which leads us back to What is Experience design
  • Which leads us back to What is Experience design
  • Which leads us back to What is Experience design
  • Which leads us back to What is Experience design



  • Automagically: A Primer to The Connection System of Things

    1. 1. automagic The Connected System of Things Primer Presented by: Aynne Valencia
    2. 2. When we think of "products" the thought comes to mind of physical objects that may or may not have service layers behind them. 2
    3. 3. Innovation comes from thinking about things we are already doing and coming up with a new and better way to do it. 3
    4. 4. Innovation is less about the thing that powers the service and instead the service and how you can enable it, which sometimes, but not always means there is a new thing required. 4
    5. 5. Which does not necessarily mean a new product but interacting in a new way with something you are already interacting with or is already collecting data. 5
    6. 6. And we are doing this already all the time.. 6
    7. 7. Pervasive or ubiquitous computing is possible because of the high adoption of mobile devices, availability of WiFi, smart phones, local and public networks, ad-hoc networks and locative services 7
    8. 8. Product Design Sensors are the enablers of : Ambient intelligence Anticipatory systems
    9. 9. Some of the Stuff you can measure with sensors Acoustic, sound, vibration Automotive, transportation Chemical-level Electric current, electric potential, magnetic, radio Environment: Temperature, weather, humidity, wind velocity Flow, fluid velocity Radiation, subatomic particles Navigation Position, angle, displacement, distance, speed, acceleration Optical, light, imaging Pressure Force, density, level Thermal, heat, temperature Proximity, presence Weight 9
    10. 10. Today our location based services work by triangulation. Google maps
    11. 11. By taking data from electronic receivers and determining your location by determining where your device is in relation to the location of the transmitters. You are Here Google maps
    12. 12. There are microsensors all around, right now very few are enabled or are on private networks. Google maps
    13. 13. Smartdust is a hypothetical wireless network of tiny microelectromechanical sensors (MEMS), robots, or devices, that can detect (for example) light, temperature, or vibration. wikipedia Google maps
    14. 14. This collects sensor data and allows for easy upload of this data to “the cloud” The cloud refers to cloud computing where the internet is the enabler of storage for open data and applications that devices can use on-demand. Google maps
    15. 15. Through Mesh Networks or Mobile Ad-hoc Networks Google maps
    16. 16. So we can gather many sources of data and associate them with geo-data Google maps
    17. 17. And layer that with social data or content around that as well and there are some fascinating scenarios Google maps
    18. 18. Product Design What does a sensor-driven system look like?
    19. 19. Product Design What does a sensor-driven system look like? Person Using it Measurement Time Context Location Awareness & Proximity Sensor-enabled Device Analysis Visualization
    20. 20. Product Design What are some categories of pervasive computing?
    21. 21. Information & Analysis Automation & Control 01 02 03 01 03 02 Enhanced Sensor Driven Complex Optimized Resource Situational Design Autonomous Consumption Tracking Behavior Awareness Analytics Process Optimization Systems Monitoring the behavior of Achieving real-time awareness Assisting human decision Monitoring the behavior of Control of consumption to Automated control in persons, things or data of physical environment making through deep analysis persons, things, or data optimize resource use open environments with through space and time & data visualization through space and time. across network great uncertainty Examples: Examples: Examples: Examples: Examples: Examples: Presence-based advertising & payments based on Sniper detection using direction of Old field site planning 3D Maximization of line kiln Smart meters and energy Collision avoidance locations of consumers sound to locate shooters Visualization & simulation throughput via wireless grids that match loads & systems to sense objects sensors generation capacity in order and automatically apply Inventory & Supply Chain Continuous monitoring of to lower costs. brake Management chronic diseases to help doctors Continuous, precise determine the best treatments. adjustments in manufacturing Data center management to Clean up of hazardous lines optimize energy, storage materials through the use and process utilization. of swarms of robots From: McKinsey Quarterly: http://www.mckinseyquarterly.com/The_Internet_of_Things_2538 21
    22. 22. As people in the experience design business how can we prepare ourselves and our clients for utilizing connected systems? 22
    23. 23. An easy way to do that is to work backwards 23
    24. 24. An easy way to do that is to work sdrawkcab 23
    25. 25. Product Design What do people want to know? Think about things that would be helpful for someone to know Visualization
    26. 26. Product Design What mix of data do you want to collect and how do you want to apply context to it? Person Using it Measurement Are there services, apiʼs, open platforms already that you can use? Time What would you need to build to do what you want to do? Context Location Awareness & Proximity Analysis
    27. 27. Product Design Consider what kind of things you can collect data from Things that already have sensors: cars heating units, air conditioning units mechanized appliances traffic corridors robots Things were sensors can easily be placed wearable objects people (yes, itʼs kinda creepy) Sensor-enabled Device
    28. 28. As a experience design professional what does this mean to you? How might this effect the way you work? 27
    29. 29. Design & Technology are concerned with all the factors represented in the bubbles but the emphasis will vary depending on the output. 28
    30. 30. 29
    31. 31. Branding opportunities 29
    32. 32. Branding opportunities Best + emerging practices of user interface 29
    33. 33. Branding opportunities Best + emerging practices of user interface Experiential touch-points 29
    34. 34. Branding opportunities Best + emerging practices of user interface Experiential touch-points Needs of service + maintenance 29
    35. 35. Branding opportunities Best + emerging practices of user interface Experiential touch-points Awareness of the physicality of the experience Needs of service + maintenance 29
    36. 36. Branding opportunities Best + emerging practices of user interface Experiential touch-points Awareness of the physicality of the experience Needs of service + maintenance Considerations unique to the hardware 29
    37. 37. Branding opportunities Best + emerging practices of user interface Experiential touch-points Awareness of the physicality of the experience Needs of service + maintenance Considerations unique to the hardware Expectations of interface based on products people are already using 29
    38. 38. 30
    39. 39. Branding opportunities 30
    40. 40. Branding opportunities Best + emerging practices of user interface 30
    41. 41. Branding opportunities Best + emerging practices of user interface Experiential touch-points 30
    42. 42. Branding opportunities Best + emerging practices of user interface Experiential touch-points Needs of service + maintenance 30
    43. 43. Branding opportunities Best + emerging practices of user interface Experiential touch-points Awareness of the physicality of the experience Needs of service + maintenance 30
    44. 44. Branding opportunities Best + emerging practices of user interface Experiential touch-points Awareness of the physicality of the experience Needs of service + maintenance Considerations unique to the hardware 30
    45. 45. Branding opportunities Best + emerging practices of user interface Experiential touch-points Awareness of the physicality of the experience Needs of service + maintenance Considerations unique to the hardware Expectations of interface based on products people are already using 30
    46. 46. Product Design Human to Computer Interaction Audioscape Social Factors Front-End Visual Industrial Language Technology Design Facility System Use of Integration Information language Design Usability Context
    47. 47. Product Design Industrial Design Human to Physical Creation Interaction Audioscape Social Factors Visual Front-End Industrial Language Technology Design Facility System Use of Integration Information language Design Usability Context
    48. 48. Product Design Design for Social Human to Human Interaction (computer mediated) Audioscape Social Factors Visual Front-End Industrial Language Technology Design Facility System Use of Integration Information language Design Usability Context
    49. 49. Product Design Design for Products Human to Human Interaction (computer mediated) Machine to Machine Audioscape Social Factors Visual Front-End Industrial Language Technology Design Facility System Use of Integration Information language Design Usability Context
    50. 50. Product Design Design for Pervasive Computing (device mediated) Audioscape Social Factors Visual Front-End Industrial Language Technology Design Facility System Use of Integration Information language Design Usability Context
    51. 51. Other things to watch out for: Bio-sensing awareness of the thing moving around us Application and opportunity: Airport security Environmental Protection Food integrity Semantic Measurement of location-based data plus bio sensing can make for some helpful scenarios for virus detection and infectious disease control, crisis management and response. Anticipatory Systems Systems that collect data from machines or social systems and create an automated response mechanism to respond before crisis or the need to replenish occur. 36
    52. 52. resources Sensor Enabled Applications and Materials Advanced Driver Assistance Systems, NAVTEQ. http://www.ustream.tv/recorded/2632918 Nano-Textiles http://nanotextiles.human.cornell.edu/ Smart Dust http://robotics.eecs.berkeley.edu/~pister/SmartDust Internet of Things McKinsey Quarterly: http://www.mckinseyquarterly.com/The_Internet_of_Things_2538 IBM, A Smarter Planet http://asmarterplanet.com Cloud Computing http://www.infoworld.com/d/cloud-computing/what-cloud-computing-really-means-031 37
    53. 53. thank you aynne valencia www.avalen.com 38

    ×