The Scent of Search, Take 2
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The document discusses 'information foraging theory,' which explores how humans interact with information and the trade-offs in search behavior, influenced by both expertise and goals. It provides several usability design principles for search interfaces, emphasizing the importance of user confidence, clarity in results, and meaningful visualizations. Additionally, it includes resources for further reading on improving search usability.
The Scent of Search, Take 2
- 1. The Scent of Search Making search more usable with information scent. Tyler Tate @tylertate
- 3. Optimal Foraging Theory Organisms seek to maximise energy intake for a given unit of time
- 10. M A N T H E INFORMAVORE
- 11. 1,200 Exabytes i n 2 0 1 0
- 12. “A wealth of information creates a poverty of attention.” – Herbert Simon
- 13. Information Foraging Theory The study of how humans interact with information.
- 14. 11 tradeoff.png
- 21. How Do People Search?
- 22. Expertise People vary be their... Search expertise (familiarity with common design patterns) Domain expertise (knowledge in a certain area) find the current temperature lookup a protein sequence Amateurs Experts
- 25. Goals what is the current temperature? book a holiday Recall Exploration
- 26. 14 a old model.png
- 27. 14 b new model.png
- 31. Concept screen by IDEO
- 32. Amateur vs. Expert Recall vs. Exploration
- 33. Amateur vs. Expert Recall vs. Exploration
- 34. moderate co hi ple m complexity gh x it y Amateur vs. Expert lookup a Bloomberg genetic sequence moderate complexity web search booking a flight lo w co m Recall vs. Exploration pl ex i ty
- 35. moderate co hi ple m complexity gh x it y Amateur vs. Expert lookup a Bloomberg genetic sequence moderate complexity web search booking a flight lo w co m Recall vs. Exploration pl ex i ty
- 41. Information Diversity buy a book learn about italy Uniform Diverse
- 49. 1. It should look like a searchbox, feel like a searchbox, and act like a searchbox.
- 50. 1. It should look like a searchbox, feel like a searchbox, and act like a searchbox.
- 51. 2. Use autocomplete to boost user’s confidence and help prevent spelling errors. Globrix, eBay, Last.fm
- 52. 23 search results title.png
- 53. 3. Indicate the number of results
- 54. 4. Use descriptive, 7-12 word titles 5. Highlight matching words The Guardian
- 56. 6. When it’s likely that the first 1-3 results are what the user is looking for, top hits provide additional info to help users make their decision.
- 57. 7. Try to avoid 0-result screens
- 59. 8. Breadcrumbs describe what the user is looking at, how he got there, and — if a mistake was made — how to get back. Wireframe by Greg Nudleman
- 60. 9. Clickable metadata enables organic filtering of the results
- 61. 9. Filter counts give users a more complete picture of the result set
- 62. 9. Filter counts give users a more complete picture of the result set
- 63. 10. A meaningful visualisation makes complex information tangible
- 64. 10. A meaningful visualisation makes complex information tangible TED
- 65. 10. A meaningful visualisation makes complex information tangible Starbucks
- 66. 10. A meaningful visualisation makes complex information tangible New York Times
- 67. 10. A meaningful visualisation makes complex information tangible
- 70. Learn More Read Peter Morville’s book “Search Patterns” http://searchpatterns.org/ Read my article “The Scent of Search” http://johnnyholland.org/2010/07/05/the-scent-of-search/ Read Marti Hearst’s book “Search User Interfaces” http://johnnyholland.org/2010/07/05/the-scent-of-search/ Check out Endeca’s design pattern library http://patterns.endeca.com/
- 71. The Scent of Search Making search more usable with information scent. Tyler Tate @tylertate