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TrailMap : Facilitating Information Seeking in a Multi-Scale Digital Map via Implicit Bookmarking

TrailMap : Facilitating Information Seeking in a Multi-Scale Digital Map via Implicit Bookmarking. Jian Zhao Daniel Wigdor Ravin Balakrishnan. Travel to Paris: Love or Hate?. Explore cultural neighborhoods Taste local delicious Visit various places of attractions ….

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TrailMap : Facilitating Information Seeking in a Multi-Scale Digital Map via Implicit Bookmarking

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  1. TrailMap: Facilitating Information Seeking in a Multi-Scale Digital Map via Implicit Bookmarking Jian Zhao Daniel Wigdor RavinBalakrishnan

  2. Travel to Paris: Love or Hate? • Explore cultural neighborhoods • Taste local delicious • Visit various places of attractions • … • Need a lot of searching • Demand careful planning • Process and compare large amount of information • Browse unfamiliar geographical regions • …

  3. Dining out in Paris Search “restaurant” on Yelp

  4. Revisitations in Multi-Scale Maps • Explicit bookmarking: disadvantages • Additional cognitive burden • Interrupt the interaction flow • Require users to anticipate the revisitation • Implicit bookmarking: challenges • Continuous information space • Heterogeneous interactions in a multi-scale 2D navigation • Dynamic meta-information content Develop an implicit bookmark generation algorithm and a web app prototype called TrailMapfor multi-scale digital map navigation

  5. Welcome to Toronto: Demo

  6. User Interaction Model Time

  7. User Interaction Model Time a b c a b c

  8. Implicit Bookmark Generation Searches

  9. Implicit Bookmark Generation Long Distance Pans or Zooms

  10. Implicit Bookmark Generation Long Time Dwells

  11. Implicit Bookmark Generation

  12. Algorithm Diagram

  13. Evaluation • Participants • 4 females and 7 males: aged 20-31, from different academic backgrounds • Use of existing online map applications: 6-10 times/week and 5-10 minutes/session • Apparatus • Personal desktops/laptops via IE, Chrome, Firefox, Safari • A Windows IIS server for hosting TrailMap • Procedure and Design • Pre-study tutorial • One week deployment study • Post-study questionnaires and interviews

  14. Quantitative Results Participant Frequency Frequency

  15. Qualitative Results 1-10 LikertScale (Strongly-disagree to Strongly-agree)

  16. Future Work • Develop smarter bookmark generation algorithms using machine learning and natural language processing • Support importing, exporting, and sharing of implicit bookmarks • Extend to other devices including mobile phones and tablets

  17. TrailMap: Facilitating Information Seeking in a Multi-Scale Digital Map via Implicit Bookmarking Jian Zhao Daniel Wigdor RavinBalakrishnan jianzhao@dgp.toronto.edu http://www.cs.toronto.edu/~jianzhao

  18. Space-Scale Diagram z A B v u y x G. W. Furnas and B. B. Bederson. 1995. Space-scale diagrams: understanding multiscale interfaces. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI '95), pp. 234-241. 

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