1 / 40

Designing Search for Humans

Dr. Marti Hearst UC Berkeley Enterprise Search Summit May 11 2010. Designing Search for Humans. Feelings Language, Memory, and Planning Sociability. Consider the Human. Shutterstock: http://www.faqs.org/photo-dict/phrase/3404/emoticons.html. Aesthetics Emotional Stages Flow. Feelings.

jillianb
Télécharger la présentation

Designing Search for Humans

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Dr. Marti Hearst UC Berkeley Enterprise Search Summit May 11 2010 Designing Search for Humans

  2. Feelings Language, Memory, and Planning Sociability Consider the Human

  3. Shutterstock: http://www.faqs.org/photo-dict/phrase/3404/emoticons.html

  4. Aesthetics Emotional Stages Flow Feelings

  5. Feelings: The Importance of Aesthetics • With an aesthetically pleasing design: • People will enjoy working with it more • People will persist searching longer • People will choose it even if it is less efficient Nakarada-Kordic & Lobb, 2005, Ben-Basset et al. 2006, Parush et al. 1998, van der Heijden 2003

  6. Feelings: The Importance of Aesthetics • Small details matter • A left hand side line vs. a box for ads • The line integrates the results into the page • Balancing white space with content • Balancing font color, shape, and weight Hotchkiss 2007

  7. Feelings Kuhlthau on informational AND emotional stages in search Uncertainty and apprehension Initiation Confusion, uncertainty, doubt, frustration Selection Exploration Optimism (after deciding) Formulation Confidence dawning * Collection Confidence growing Relief and satisfaction (or disappointment) Presentation (Assuming novice researchers engaged in challenging tasks)

  8. Feelings: The Importance of Flow

  9. Feelings: The Importance of Flow From Csikszentmihalyi, M. (1991). Flow: The Psychology of Optimal Experience. HarperCollins via Bederson, Interfaces for staying in the flow, ACM Ubiquity 5(7), 2004

  10. Properties of Interfaces with Flow Inviting Support interrupt-free engagement in the task No blockages Easy reversal of actions Next steps seem to suggest themselves

  11. Address Anchoring and Vocabulary Problems Provide Memory Aids Suggest Helpful Next Steps Language, Memory, & Planning

  12. Language

  13. Language: The Vocabulary Problem • There are many ways to say the same thing. • People remember the gist but not the actual words used.

  14. Language: The Vocabulary Problem • With no other context, people generate different words for the same concepts. • The probability that two typists would suggest the same word for a given function: .11 • The probability that two college students would name an object using the same word: .12. Furnas et al., 1987

  15. Language: The Problem of Anchoring • Try this experiment: • Tell people to think of the last 2 digits of their SSN • Then have them bid on something in auction • The SSN numbers they thought of influences their bids. Ariely, Predictably Irrational, 2008, Harper

  16. The Problem of Anchoring • Anchoring in search • A user starts with a set of words, then anchors on them • Harry Potter and the Half-Blood Prince sales • Harry Potter and the Half-Blood Prince amount sales • Harry Potter and the Half-Blood Prince quantity sales • Harry Potter and the Half-Blood Prince actual quantity sales • Harry Potter and the Half-Blood Prince sales actual quantity • Harry Potter and the Half-Blood Prince all sales actual quantity • all sales Harry Potter and the Half-Blood Prince • worldwide sales Harry Potter and the Half-Blood Prince • The opposite of the Vocabulary Problem! Russell, 2006

  17. Support “Recognition Over Recall” Provide Memory Aids

  18. Provide Memory Aids Suggest the Search Action in or near the Query Form www.yelp.com, www.powerset.com

  19. Memory Aids Provide Access to Recent Actions PubMed amazon.com Dumais et al., Stuff I’ve Seen, SIGIR 2003

  20. Memory Aids; Anchoring Aids Dynamic Query Suggestions http://netflix.com http://google.com

  21. Memory Aids; Anchoring Aids Augment suggestions with images or faceted classes. http://nextbio.com http://www.imamuseum.org/

  22. Suggest Next Steps: Query suggestions Show suggestions after the query has been issued. http://yahoo.com http://bing.com

  23. Suggest Next Steps: Query suggestions PubMed http://nextbio.com

  24. Suggest Next Steps: Query Destinations • Recorded search sessions for 100,000’s of users • For a given query, where did the user end up? • Users generally browsed far from the search results page (~5 steps) • On average, users visited 2 unique domains during the course of a query trail, and just over 4 domains during a session trail • Show the query trail endpoint information at query reformulation time • Query trail suggestions were used more often (35.2% of the time) than query term suggestions. White et al., SIGIR 2007

  25. Suggest Next Steps: Related Documents In some circumstances, related items work well amazon.com PubMed

  26. Putting It All Together: Faceted Navigation • Suggests next steps • Helps with Vocabulary Problem and Anchoring Problem • Promotes Flow • Show users structure as a starting point, rather than requiring them to generate queries • Organize results into a recognizable structure • Eliminates empty results sets

  27. A New Development: Faceted Breadcrumbs Nudelman, http://www.boxesandarrows.com/view/faceted-finding-with

  28. People are Social; Computers are Lonely. Don’t Personalize Search, Socialize it! Sociability

  29. Social Search Asking: Communicating directly with others. Implicit: Suggestions generated as a side-effect of search activity. Collaboration: Working with other people on a search task. Explicit: knowledge accumulates via the actions of many.

  30. Social Search: Asking What do people ask of their social networks? Morris et al., CHI 2010

  31. Social Search: Implicit Suggestions • Human-generated suggestions still beat purely machine-generated ones • Spelling suggestions • Query term suggestions • Recommendations of book, movies, etc • Ranking (clickthrough statistics)

  32. Social Search: Explicit HelpQuestion-Answering Sites • Content produced in a manner amenable to searching for answers to questions. • Search tends to work well on these sites and on the internet leading to these sites • This suggests that for the intranet, content is best generated and written this way. • Like an FAQ but with many authors and with the questions that the audience really wants the answers to.

  33. Explicit Suggestions: Building Knowledge • Social knowledge management tools seem promising • Utilize the best of social networks, tagging, blogging, web page creation, wikis, and search. Millen et al., CHI 2006

  34. Collaborative Search Pickens et al., SIGIR 2008

  35. Summary: Consider the Human • Feelings • Emotional responses to information seeking • Aesthetics • Flow • Language / Memory / Planning • Scaffold memory by suggesting next steps, providing context and feedback • Tools to aid with the anchoring and the vocabulary problems • Sociability • Search as a social experience • Turning to others for certain types of task • Sharing information for next-generation knowledge management

  36. Buy it here! Full text freely available at: http://searchuserinterfaces.com Thank you!

More Related