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Pervasive Information Architecture and Ambient Findability
Pervasive Information Architecture and Ambient Findability
Pervasive Information Architecture and Ambient Findability
Pervasive Information Architecture and Ambient Findability
Pervasive Information Architecture and Ambient Findability
Pervasive Information Architecture and Ambient Findability
Pervasive Information Architecture and Ambient Findability
Pervasive Information Architecture and Ambient Findability
Pervasive Information Architecture and Ambient Findability
Pervasive Information Architecture and Ambient Findability
Pervasive Information Architecture and Ambient Findability
Pervasive Information Architecture and Ambient Findability
Pervasive Information Architecture and Ambient Findability
Pervasive Information Architecture and Ambient Findability
Pervasive Information Architecture and Ambient Findability
Pervasive Information Architecture and Ambient Findability
Pervasive Information Architecture and Ambient Findability
Pervasive Information Architecture and Ambient Findability
Pervasive Information Architecture and Ambient Findability
Pervasive Information Architecture and Ambient Findability
Pervasive Information Architecture and Ambient Findability
Pervasive Information Architecture and Ambient Findability
Pervasive Information Architecture and Ambient Findability
Pervasive Information Architecture and Ambient Findability
Pervasive Information Architecture and Ambient Findability
Pervasive Information Architecture and Ambient Findability
Pervasive Information Architecture and Ambient Findability
Pervasive Information Architecture and Ambient Findability
Pervasive Information Architecture and Ambient Findability
Pervasive Information Architecture and Ambient Findability
Pervasive Information Architecture and Ambient Findability
Pervasive Information Architecture and Ambient Findability
Pervasive Information Architecture and Ambient Findability
Pervasive Information Architecture and Ambient Findability
Pervasive Information Architecture and Ambient Findability
Pervasive Information Architecture and Ambient Findability
Pervasive Information Architecture and Ambient Findability
Pervasive Information Architecture and Ambient Findability
Pervasive Information Architecture and Ambient Findability
Pervasive Information Architecture and Ambient Findability
Pervasive Information Architecture and Ambient Findability
Pervasive Information Architecture and Ambient Findability
Pervasive Information Architecture and Ambient Findability
Pervasive Information Architecture and Ambient Findability
Pervasive Information Architecture and Ambient Findability
Pervasive Information Architecture and Ambient Findability
Pervasive Information Architecture and Ambient Findability
Pervasive Information Architecture and Ambient Findability
Pervasive Information Architecture and Ambient Findability
Pervasive Information Architecture and Ambient Findability
Pervasive Information Architecture and Ambient Findability
Pervasive Information Architecture and Ambient Findability
Pervasive Information Architecture and Ambient Findability
Pervasive Information Architecture and Ambient Findability
Pervasive Information Architecture and Ambient Findability
Pervasive Information Architecture and Ambient Findability
Pervasive Information Architecture and Ambient Findability
Pervasive Information Architecture and Ambient Findability
Pervasive Information Architecture and Ambient Findability
Pervasive Information Architecture and Ambient Findability
Pervasive Information Architecture and Ambient Findability
Pervasive Information Architecture and Ambient Findability
Pervasive Information Architecture and Ambient Findability
Pervasive Information Architecture and Ambient Findability
Pervasive Information Architecture and Ambient Findability
Pervasive Information Architecture and Ambient Findability
Pervasive Information Architecture and Ambient Findability
Pervasive Information Architecture and Ambient Findability
Pervasive Information Architecture and Ambient Findability
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Pervasive Information Architecture and Ambient Findability

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  • to keep you guys awake. those who answer correctly will get candy?to make you awesome with using PIA
  • Welcome to the 4th dimensionYou're gonna love them!Learn the method
  • Pervasive IA & FindabilityIntegrating multiple, separate interactions into one seamless flow, thereby affording multiple ways of access informationQuality of locating information across channels and environments Why Should You Care?Experiences are increasingly becoming cross-channel (hybrid) in nature‘Everyware’ is here to stay: users expect information to be available regardless of their situation (e.g., the activity)IT’S THE FUTURE...Get used to it :)
  • Transcript

    • 1. introduction!
    • 2. Run of the show 5 mins x 7 presenters 1 surprise check (!) 1 in-class activity
    • 3. Order of things Introduction* What is it? What‟s new? How‟s it done? Activity Discussion of the activity Conclusion
    • 4. What to pay attention to? Another dimension to IA – Channels Cross-channel heuristics for IA  Place-making  Consistency  Resilience  Reduction  Correlation The CHUbe - channel–heuristics–user tasks cube
    • 5. If nothing else…Pervasive IA & Findability Integrating multiple, separate interactions into one seamless flow, thereby affording multiple ways to access information Quality of locating information across channels and environmentsWhy Should You Care? Experiences are increasingly becoming cross-channel (hybrid) in nature „Everyware‟ is here to stay: users expect information to be available regardless of their situation (e.g., the activity)
    • 6. Ambient findability?Pervasiveinformationarchitecture?…What ARE they?!
    • 7. About Pervasive IA Move from separate channels to cross-channel Big picture requires all channels Multiple, separated interactions become one seamless flow
    • 8. About Ambient Findability Findability: quality of being findable Ambient Findability: quality of being findable across channels and environments
    • 9. Example, please. Meijer shopping experience:  website  email  social media  mobile app  brick-and-mortar store Why is interaction seamless?  Same IA is deployed across different channels
    • 10. Why do we care? This is how things are! Trend = more channels Good PIA avoids frustrating experiences
    • 11. Why do we care? Old IA deals with websites only Things have changed:  Companies sell services and experiences  Users become intermediaries  Experience is hybrid Ease of use is not enough, people are shielding off painful information
    • 12. How ispervasiveinformationarchitecturedifferent andbetter?
    • 13. How is PIA different? • It bridges the gap between the physical and digital. • It‟s not just about labels, taxonomies or websites. Now, it‟s about working with info to shape meaning and purpose over many domains.
    • 14. How is PIA different? “ IAs have to have a little We more Wurman in our pockets and move beyond the Polar Bear book. ”
    • 15. How is PIA better? • Information architectures become ecosystems. • Users become intermediaries. • Static becomes dynamic. • Product design becomes experience design across different media.
    • 16. More aboutPIA heuristics(directions, notdirectives!)
    • 17. PIA Heuristic 1: Place-making Capability of Pervasive Information Architecture to reduce disorientation and increase legibility • Reduce confusion • Build a sense of place • Increase wayfinding across environments
    • 18. PIA Heuristic 2: Consistency Capability of PIA to provide and sustain internal and external, in-context, on-task coherence • To suit the purposes, contexts and people it is designed for • To maintain the same logic along different media, environments and times in which it acts
    • 19. Flipping image: http://www.huffingtonpost.com/2010/02/23/flip-book-makes-a-virtual_n_473869.html
    • 20. PIA Heuristic 3: Resilience Capability of PIA models to shape and adapt themselves to specific user needs and seeking strategies • Support users in different contexts/places/times • Support different seeking strategies • Active or passive • Direct or indirect • Conscious or latent
    • 21. PIA Heuristic 4: Reduction The capability of PIA to minimize the cognitive load and frustration associated with choosing from vast information sources, services, and goods. • Does NOT reduce options • Organize and cluster • Focus and Magnify
    • 22. PIA Heuristic 5: Correlation Capability of PIA to suggest relevant connections among pieces of information, services, and goods to help users achieve explicit goal. • Creates continuity and discovery within one channel AND across channels
    • 23. How to applypervasiveinformationarchitecture…
    • 24. I. Overview
    • 25. Understanding Applied Pervasive IA • 2-D IA • Vertical axis= hierarchical relationship • Horizontal axis = semantic and contiguity relationships
    • 26. What Makes Pervasive IA “Pervasive”? • Moving to 3-D and even 4-D IA • Third axis = multiple channels • Time is the fourth dimension
    • 27. What is the Recipe for Pervasive IA?
    • 28. What is the Recipe for Pervasive IA? • There isn‟t one. Sry :P
    • 29. What is the Recipe for Pervasive IA? • But don‟t worry…
    • 30. II. Methodology
    • 31. Step1: Identify the Channels • Four common channels • Paper: hard-copy, physical materials. • Store: encompasses an area that requires way-finding and physical movement for search. • Web: an interface on a stable platform (e.g. laptop) • Mobile: communication using mobile devices (e.g. iPad, cell phone) This is pervasive!
    • 32. Step 2: List Heuristics + User Tasks • Heuristics o Place-making o Consistency o Resilience o Reduction o Correlation • User Tasks o Pieces of a scenario broken down into separate tasks
    • 33. Step 3: Visualize • Visualize in 2-D
    • 34. Step 3: Visualize • Visualize in 3-D: the CHUbe
    • 35. Step 3: Visualize • Visualize in 3-D: the CHUbe • Why are there squares missing?
    • 36. Step 3: Visualize • Visualize in 3-D: the CHUbe • Why are there squares missing? o Heuristic not relevant… − in the channel − To the user task − or does not exist in that channel
    • 37. III. Example
    • 38. How is it pervasive?
    • 39. Step 1: What channels are involved? • Store: The store itself • Paper: Weekly flyer of special offers • Web: Receiving emails about upcoming sales at the store, browsing their online website • Mobile: Using specific applications to browse through items, look up coupons
    • 40. Step 2: What task flows are involved? Necessary for creating seamless user experience of grocery shopping!
    • 41. Step 2: What task flows are involved? Necessary for creating seamless user experience of grocery shopping! 1. Getting information about current products and offers 2. Building a shopping list 3. Getting to the supermarket 4. Parking the car 5. Fetching a cart 6. Navigating the shop 7. Finding products 8. Queuing and paying
    • 42. Step 3: Identify Heuristics Involved Heuristic: Place-making • How do we make them feel at home? • How could we help in way-finding?
    • 43. Step 3: Identify Heuristics Involved Place-makingStore Print Web Mobile• Color codes • Respecting • Translate • In-store• Addressing color codes physical navigation different • Product layout to IA • Color codes users placement • Use of • Premade established paths labels, etc • Contextual information
    • 44. Step 3: Identify Heuristics Involved Heuristic: Consistency • Internal consistency: o Capability to provide coherent in-channel experience o Adopting the right classification system o Example: “Mixed” classification model: − 1st level: hierarchical model − 2nd level: faceted model o Considering different styles of searching and different shopping behaviors • External consistency: o Creates smooth transition from one channel to another o Using same color codes, labels for mobile devices, store, web site
    • 45. Step 3: Identify Heuristics Involved Heuristic: Consistency • These allow us to address several mental models simultaneously • In the supermarket… o Supporting consistent logic within the supermarket o Using a mobile app to inform physical wayfinding
    • 46. Step 3: Identify Heuristics Involved Heuristic: Resilience • Main Idea: Reshape places in real-time o How do we allow different paths? o Encourage berry-picking: “Relevant [information] tends to be scattered, [and] users move fluidly between search and browse modes, relying on strategies including footnote chasing, area scanning, and citation, subject and author searching” (AF p.59).
    • 47. Step 3: Identify Heuristics Involved ResilienceStore Print Web Mobile• More than • Customize • Provide one path experience histories• Allow • Store user • Suggest shortcuts preferences missing products
    • 48. Step 3: Identify Heuristics Involved Heuristic: Reduction • “A set of strategies to address such an issue and has nothing to do with getting rid of choices: reduction is an organizational and presentational guideline” • Focus and zoom: o reduces the paradox of choice o Directs attention to only a small subset of choices • Magnify: o View details after selecting choice o Reduces cognitive load
    • 49. Step 3: Identify Heuristics Involved ReductionStore Print Web Mobile• Use • Relevant • Provide full • Mobile moves meaningful information catalog but with the clusters only offer customer • Link to other information in • No need to channels for context include additional info “currently unavailable” items
    • 50. Step 3: Identify Heuristics Involved Heuristic: Correlation Who does it? • Top-down (information architects) • Correlations between items of same facet • Bottom-up (users) : • “If you like a and b, we suggest c” Where is it? • Internal • Paths for vegan food • Correlation between customers • External • Searching for an item online and finding it in the supermarket
    • 51. Step 4: Visualize the Info Architecture Create a CHU Table
    • 52. Step 4: Visualize the Info Architecture
    • 53. Activity Time!
    • 54. First…Raise them hands! Countoff, 1 through 5!
    • 55. TaskImagine that you were hired to make touristexperiences for a city with monsters at its edge oftown. These monsters were dangerous andsometimes killed people, but the townspeople havelearned to live with them and now want to use this astheir main tourist attraction.Design cross-channel experiences while takingthe “Place-making” heuristic into consideration.You have 20 minutes. Go!
    • 56. ConclusionWe‟ve said a lot…Let‟s just make sure that you‟ve got it.
    • 57. So, What‟d We Do Here? Introduction What is it? What‟s new? How is it done? How is it done even better? You did it! Discussion Conclusion
    • 58. Key Takeaways Pervasive IA & Findability: What? Why Should You Care? IT‟S THE FUTURE…
    • 59. Q&AAny questions?
    • 60. Thank You!

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