Tour de Cyclopath*Thomas EricksonIBM T. J. Watson Research CenterSpring 2010* Cyclopath is a project of the GroupLens Lab ...
Tour de CyclopathWhy this is of general interest Cyclopath represents an increasingly important new class of urban applic...
Tour de CyclopathProblem: Finding bike-friendly routes around the Twin Cities Good bike routes differ from good driving r...
Tour de CyclopathProblem: Finding bike-friendly routes around the Twin Cities Good bike routes differ from good driving r...
Tour de CyclopathSolution:Cyclopath A user-editable map  (a geowiki) with ‘official’ data (e.g.,  USGS, MNDoT) and user...
Tour de CyclopathSolution:Cyclopath User editing matters  because ‘official’ data:  • may be missing  • may be incorrect ...
Tour de CyclopathThe User Interface Map and map key                                Terveen, Priedhorsky, et al. ~ GroupLe...
Tour de CyclopathThe User Interface Map and map key Map controls  • edit, zoom, pan                                Terve...
Tour de CyclopathThe User Interface Map and map key Map controls Control panels   • request routes, adjust   view, reve...
Tour de CyclopathMap elements Blocks (street) Points                                                                    ...
Tour de CyclopathMap elements Blocks (street) Points Tags (points) Notes (points)                                     ...
Tour de CyclopathMap elements Blocks (street) Points Tags (points, blocks) Notes (points, blocks)                     ...
Tour de CyclopathMap elements Blocks (street) Points Tags (points, blocks) Notes (points, blocks) Ratings (blocks onl...
Tour de CyclopathMap elements Blocks (street) Points Tags (points, blocks) Notes (points, blocks) Ratings (blocks onl...
Tour de CyclopathMap elements Blocks (street) Points Tags (points, blocks) Notes (points, blocks) Ratings (blocks onl...
Tour de CyclopathMap elements Blocks (street) Points Tags (points, blocks) Notes (points, blocks) Ratings (blocks onl...
Tour de CyclopathEditing We want users to be  able to edit data  because  • it might be missing  • it might be wrong  • i...
Tour de CyclopathEditing example Here’s a street I added.  I gave it a name, a  type, and a bikeability  rating          ...
Tour de CyclopathEditing example Here’s a street I added.  I gave it a name, a  type, and a bikeability  rating Later on...
Tour de CyclopathEditing example Here’s a street I added.  I gave it a name, a  type, and a bikeability  rating Later on...
Tour de CyclopathEditing & reverting And of course it’s a  wiki so I can  • set a “watch region”                         ...
Tour de CyclopathEditing & reverting And of course it’s a  wiki so I can  • set a “watch region”  • and inspect and    re...
Tour de CyclopathComputing routes Now we can use all  this data to compute  bike-friendly routes                         ...
Tour de CyclopathComputing routes Now we can use all  this data to compute  bike-friendly routes  • Enter From and To    ...
Tour de CyclopathComputing routes Now we can use all  this data to compute  bike-friendly routes  • Enter From and To  • ...
Tour de CyclopathComputing routes Now we can use all  this data to compute  bike-friendly routes  • Enter From and To  • ...
Tour de CyclopathComputing routes Now we can use all  this data to compute  bike-friendly routes  • Enter From and To  • ...
Tour de CyclopathComputing routes The route                                Terveen, Priedhorsky, et al. ~ GroupLens Lab, ...
Tour de CyclopathComputing routes The route  • Can be color-coded    according to various    dimensions (e.g.,    hills, ...
Tour de CyclopathComputing routes The route  • Can be color-coded    according to various    dimensions (e.g.,    hills, ...
Tour de CyclopathComputing routes The route  • Can be color-coded    according to various    dimensions (e.g.,    hills, ...
Tour de CyclopathComputing routes The route  • Notice that my route    starts out in the    “wrong” direction –    but th...
Tour de CyclopathComputing routes The route  • Notice that my route    starts out in the    “wrong” direction –    but th...
Tour de CyclopathComputing routes The route  • Notice that my route    starts out in the    “wrong” direction –    but th...
Tour de CyclopathDoes it work? Will people really use it? Will people actually go to the trouble of adding data? Will t...
Tour de CyclopathDoes it work? Usage (in season)  • In use for 1.5 years  • 1,500+ reg. users  • daily: 15-30 reg. &     ...
Tour de CyclopathDoes it work? Usage (in season)  • In use for 1.5 years  • 1,500+ reg. users  • daily: 15-30 reg. &     ...
Tour de CyclopathDoes it work? Usage (in season)  • In use for 1.5 years  • 1,500+ reg. users  • daily: 15-30 reg. &     ...
Tour de CyclopathResearch Issues:Eliciting work Improve map’s routes Improve others’ routes Improve your routes…in prog...
Tour de CyclopathResearch Issues:Focusing work How might Cyclopath  get users to do  particular types of  work in particu...
Tour de CyclopathResearch Issues:Focusing work The Work Hints                                        Cyclopath needs your...
Tour de CyclopathResearch Issues:Focusing work The Work Hints  experiment (case 1)  • Direct a person to an    area that ...
Tour de CyclopathResearch Issues:Focusing work The Work Hints  experiment (case 2)  • Direct a person to an    area that ...
Tour de CyclopathResearch Issues:Focusing work The Work Hints  experiment• People did about the  same amount of work  per...
Tour de CyclopathResearch Issues:Focusing work The Work Hints  experiment• People did about the  same amount of work  per...
Tour de CyclopathResearch Issues: Summary of Findings•   Visually highlighting work opportunities leads to more work•   Us...
Tour de CyclopathThe Future Cyclopath doesn’t have  to be about bicyclists  • skiers (iceWiki)  • walkers  • disabled  • ...
Tour de CyclopathThe Future Cyclopath doesn’t have  to be about bicyclists Nor does it have to be  just for route findin...
Tour de CyclopathThe Future Cyclopath doesn’t have  to be about bicyclists Nor does it have to be  just for route findin...
Tour de CyclopathThe Future Cyclopath doesn’t have  to be about bicyclists Nor does it have to be  just for route findin...
Tour de CyclopathTakeaways People have rich and nuanced knowledge of their habitats People are willing to do work to con...
Tour de CyclopathThe Future Cyclopath doesn’t have  to be about bicyclists Nor does it have to be  just for route findin...
Tour de CyclopathWhy this is of general importance Cyclopath represents an increasingly important type of urban applicati...
End Notes• Cyclopath was conceived of and developed by the GroupLens Lab at  the University of Minnesota, not IBM (I am ju...
Upcoming SlideShare
Loading in …5
×

Tour de cyclopath v10

761 views

Published on

This is a walk-through and discussion of Cyclopath, an open source geo-wiki, a user editable map, that has been up and running in Minneapolis-St Paul for several years. It's interesting because anyone can add data -- points, tags, ratings, notes, even streets -- to the map, and the routing algorithm can immediately take the user-added into account. Cyclopath supports cyclists, but the technology itself is very general and has numerous uses.

Published in: Education, Technology
0 Comments
1 Like
Statistics
Notes
  • Be the first to comment

No Downloads
Views
Total views
761
On SlideShare
0
From Embeds
0
Number of Embeds
3
Actions
Shares
0
Downloads
5
Comments
0
Likes
1
Embeds 0
No embeds

No notes for slide

Tour de cyclopath v10

  1. 1. Tour de Cyclopath*Thomas EricksonIBM T. J. Watson Research CenterSpring 2010* Cyclopath is a project of the GroupLens Lab at the University of Minnesota by Terveen, Preidhorsky, et al. It is open source.
  2. 2. Tour de CyclopathWhy this is of general interest Cyclopath represents an increasingly important new class of urban application that • combines human-sourced knowledge with digital data to create a common resource • provides mechanisms for eliciting and focusing human work to enhance the resource • enables computations that provide resource-based services • provides a platform for community collaboration • and has the potential to serve as a potent symbol of a smarter cityThomas Erickson, Social Computing Group, IBM T. J. Watson Research Center. slide 2
  3. 3. Tour de CyclopathProblem: Finding bike-friendly routes around the Twin Cities Good bike routes differ from good driving routes 5. Although greenway continues in right direction, take Park Ave due to bike lane 4. This section of bike path goes through beautiful community gardens 3. Enter greenway bike path via intersection 2. Take side street that has lights at two busy crossings 1. Start out in opposite direction to avoid busy main streetThomas Erickson, Social Computing Group, IBM T. J. Watson Research Center. slide 3 Terveen, Priedhorsky, et al. ~ GroupLens Lab, EE/CS, University of Minnesota
  4. 4. Tour de CyclopathProblem: Finding bike-friendly routes around the Twin Cities Good bike routes differ from good driving routes But much of the information that makes this a good route is not on regular maps 5. Although greenway continues in right direction, take Park Ave due to bike lane 4. This section of bike path goes through beautiful community gardens 3. Enter greenway bike path via “intersection 2. Take side street that has lights at two busy crossings 1. Start out in opposite direction to avoid busy main streetThomas Erickson, Social Computing Group, IBM T. J. Watson Research Center. slide 4 Terveen, Priedhorsky, et al. ~ GroupLens Lab, EE/CS, University of Minnesota
  5. 5. Tour de CyclopathSolution:Cyclopath A user-editable map (a geowiki) with ‘official’ data (e.g., USGS, MNDoT) and user-entered data • map objects • points • bikeability ratings • tags • annotations Terveen, Priedhorsky, et al. ~ GroupLens Lab, EE/CS, University of MinnesotaThomas Erickson, Social Computing Group, IBM T. J. Watson Research Center. slide 5
  6. 6. Tour de CyclopathSolution:Cyclopath User editing matters because ‘official’ data: • may be missing • may be incorrect • may be misaligned • may need synthesis • may be dynamic Furthermore, users can add data that is • personal • timely • qualitative Terveen, Priedhorsky, et al. ~ GroupLens Lab, EE/CS, University of MinnesotaThomas Erickson, Social Computing Group, IBM T. J. Watson Research Center. slide 6
  7. 7. Tour de CyclopathThe User Interface Map and map key Terveen, Priedhorsky, et al. ~ GroupLens Lab, EE/CS, University of MinnesotaThomas Erickson, Social Computing Group, IBM T. J. Watson Research Center. slide 7
  8. 8. Tour de CyclopathThe User Interface Map and map key Map controls • edit, zoom, pan Terveen, Priedhorsky, et al. ~ GroupLens Lab, EE/CS, University of MinnesotaThomas Erickson, Social Computing Group, IBM T. J. Watson Research Center. slide 8
  9. 9. Tour de CyclopathThe User Interface Map and map key Map controls Control panels • request routes, adjust view, revert changes, etc. Terveen, Priedhorsky, et al. ~ GroupLens Lab, EE/CS, University of MinnesotaThomas Erickson, Social Computing Group, IBM T. J. Watson Research Center. slide 9
  10. 10. Tour de CyclopathMap elements Blocks (street) Points Block Point Terveen, Priedhorsky, et al. ~ GroupLens Lab, EE/CS, University of MinnesotaThomas Erickson, Social Computing Group, IBM T. J. Watson Research Center. slide 10
  11. 11. Tour de CyclopathMap elements Blocks (street) Points Tags (points) Notes (points) Tags for this point Notes Terveen, Priedhorsky, et al. ~ GroupLens Lab, EE/CS, University of MinnesotaThomas Erickson, Social Computing Group, IBM T. J. Watson Research Center. slide 11
  12. 12. Tour de CyclopathMap elements Blocks (street) Points Tags (points, blocks) Notes (points, blocks) Tags Notes for this block Terveen, Priedhorsky, et al. ~ GroupLens Lab, EE/CS, University of MinnesotaThomas Erickson, Social Computing Group, IBM T. J. Watson Research Center. slide 12
  13. 13. Tour de CyclopathMap elements Blocks (street) Points Tags (points, blocks) Notes (points, blocks) Ratings (blocks only) • personal (private) • estimated (from others) • computed Rating (from MN DoT data) for this block Terveen, Priedhorsky, et al. ~ GroupLens Lab, EE/CS, University of MinnesotaThomas Erickson, Social Computing Group, IBM T. J. Watson Research Center. slide 13
  14. 14. Tour de CyclopathMap elements Blocks (street) Points Tags (points, blocks) Notes (points, blocks) Ratings (blocks only) Intersections Intersection • How streets connect (or not) Terveen, Priedhorsky, et al. ~ GroupLens Lab, EE/CS, University of MinnesotaThomas Erickson, Social Computing Group, IBM T. J. Watson Research Center. slide 14
  15. 15. Tour de CyclopathMap elements Blocks (street) Points Tags (points, blocks) Notes (points, blocks) Ratings (blocks only) Intersections Intersections? • How streets connect (or not) •Important for computing routes – data often missing or inaccurate for bikes Terveen, Priedhorsky, et al. ~ GroupLens Lab, EE/CS, University of MinnesotaThomas Erickson, Social Computing Group, IBM T. J. Watson Research Center. slide 15
  16. 16. Tour de CyclopathMap elements Blocks (street) Points Tags (points, blocks) Notes (points, blocks) Ratings (blocks only) Intersections Regions (not shown) • Public (neighborhoods) • Private (watch regions) Terveen, Priedhorsky, et al. ~ GroupLens Lab, EE/CS, University of MinnesotaThomas Erickson, Social Computing Group, IBM T. J. Watson Research Center. slide 16
  17. 17. Tour de CyclopathEditing We want users to be able to edit data because • it might be missing • it might be wrong • it might be misaligned • and users have a deep qualitative knowledge of places the is rarely found in official data sets Terveen, Priedhorsky, et al. ~ GroupLens Lab, EE/CS, University of MinnesotaThomas Erickson, Social Computing Group, IBM T. J. Watson Research Center. slide 17
  18. 18. Tour de CyclopathEditing example Here’s a street I added. I gave it a name, a type, and a bikeability rating Terveen, Priedhorsky, et al. ~ GroupLens Lab, EE/CS, University of MinnesotaThomas Erickson, Social Computing Group, IBM T. J. Watson Research Center. slide 18
  19. 19. Tour de CyclopathEditing example Here’s a street I added. I gave it a name, a type, and a bikeability rating Later on, someone else added the tag “unpaved” Terveen, Priedhorsky, et al. ~ GroupLens Lab, EE/CS, University of MinnesotaThomas Erickson, Social Computing Group, IBM T. J. Watson Research Center. slide 19
  20. 20. Tour de CyclopathEditing example Here’s a street I added. I gave it a name, a type, and a bikeability rating Later on, someone else added the tag “unpaved” Later I added a note Terveen, Priedhorsky, et al. ~ GroupLens Lab, EE/CS, University of MinnesotaThomas Erickson, Social Computing Group, IBM T. J. Watson Research Center. slide 20
  21. 21. Tour de CyclopathEditing & reverting And of course it’s a wiki so I can • set a “watch region” Terveen, Priedhorsky, et al. ~ GroupLens Lab, EE/CS, University of MinnesotaThomas Erickson, Social Computing Group, IBM T. J. Watson Research Center. slide 21
  22. 22. Tour de CyclopathEditing & reverting And of course it’s a wiki so I can • set a “watch region” • and inspect and revert changes Terveen, Priedhorsky, et al. ~ GroupLens Lab, EE/CS, University of MinnesotaThomas Erickson, Social Computing Group, IBM T. J. Watson Research Center. slide 22
  23. 23. Tour de CyclopathComputing routes Now we can use all this data to compute bike-friendly routes Terveen, Priedhorsky, et al. ~ GroupLens Lab, EE/CS, University of MinnesotaThomas Erickson, Social Computing Group, IBM T. J. Watson Research Center. slide 23
  24. 24. Tour de CyclopathComputing routes Now we can use all this data to compute bike-friendly routes • Enter From and To Terveen, Priedhorsky, et al. ~ GroupLens Lab, EE/CS, University of MinnesotaThomas Erickson, Social Computing Group, IBM T. J. Watson Research Center. slide 24
  25. 25. Tour de CyclopathComputing routes Now we can use all this data to compute bike-friendly routes • Enter From and To • Decide whether to minimize distance or favor bikeability Terveen, Priedhorsky, et al. ~ GroupLens Lab, EE/CS, University of MinnesotaThomas Erickson, Social Computing Group, IBM T. J. Watson Research Center. slide 25
  26. 26. Tour de CyclopathComputing routes Now we can use all this data to compute bike-friendly routes • Enter From and To • Decide whether to minimize distance or favor bikeability • And select tags to avoid, bonus or penalize when computing route Terveen, Priedhorsky, et al. ~ GroupLens Lab, EE/CS, University of MinnesotaThomas Erickson, Social Computing Group, IBM T. J. Watson Research Center. slide 26
  27. 27. Tour de CyclopathComputing routes Now we can use all this data to compute bike-friendly routes • Enter From and To • Decide whether to minimize distance or favor bikeability • And select tags to avoid, bonus or penalize when computing route Notice that much of this data is user entered: point names, bikeability, tags Terveen, Priedhorsky, et al. ~ GroupLens Lab, EE/CS, University of MinnesotaThomas Erickson, Social Computing Group, IBM T. J. Watson Research Center. slide 27
  28. 28. Tour de CyclopathComputing routes The route Terveen, Priedhorsky, et al. ~ GroupLens Lab, EE/CS, University of MinnesotaThomas Erickson, Social Computing Group, IBM T. J. Watson Research Center. slide 28
  29. 29. Tour de CyclopathComputing routes The route • Can be color-coded according to various dimensions (e.g., hills, bikeability) Terveen, Priedhorsky, et al. ~ GroupLens Lab, EE/CS, University of MinnesotaThomas Erickson, Social Computing Group, IBM T. J. Watson Research Center. slide 29
  30. 30. Tour de CyclopathComputing routes The route • Can be color-coded according to various dimensions (e.g., hills, bikeability) • Has a cue sheet (soon with notes) Terveen, Priedhorsky, et al. ~ GroupLens Lab, EE/CS, University of MinnesotaThomas Erickson, Social Computing Group, IBM T. J. Watson Research Center. slide 30
  31. 31. Tour de CyclopathComputing routes The route • Can be color-coded according to various dimensions (e.g., hills, bikeability) • Has a cue sheet (soon with notes) • Feedback can be provided Terveen, Priedhorsky, et al. ~ GroupLens Lab, EE/CS, University of MinnesotaThomas Erickson, Social Computing Group, IBM T. J. Watson Research Center. slide 31
  32. 32. Tour de CyclopathComputing routes The route • Notice that my route starts out in the “wrong” direction – but that’s really what I want because it avoids busy streets Terveen, Priedhorsky, et al. ~ GroupLens Lab, EE/CS, University of MinnesotaThomas Erickson, Social Computing Group, IBM T. J. Watson Research Center. slide 32
  33. 33. Tour de CyclopathComputing routes The route • Notice that my route starts out in the “wrong” direction – but that’s really what I want because it avoids busy streets • And it has the other advantages I mentioned at the start of the talk Terveen, Priedhorsky, et al. ~ GroupLens Lab, EE/CS, University of MinnesotaThomas Erickson, Social Computing Group, IBM T. J. Watson Research Center. slide 33
  34. 34. Tour de CyclopathComputing routes The route • Notice that my route starts out in the “wrong” direction – but that’s really what I want because it avoids busy streets • And it has the other advantages I mentioned at the start of the talk • And the route is also half a mile shorter than that offered by Google Maps’ new bike routing feature (even though I favored bikeability over distance) Terveen, Priedhorsky, et al. ~ GroupLens Lab, EE/CS, University of MinnesotaThomas Erickson, Social Computing Group, IBM T. J. Watson Research Center. slide 34
  35. 35. Tour de CyclopathDoes it work? Will people really use it? Will people actually go to the trouble of adding data? Will the added data make a difference?Thomas Erickson, Social Computing Group, IBM T. J. Watson Research Center. slide 35
  36. 36. Tour de CyclopathDoes it work? Usage (in season) • In use for 1.5 years • 1,500+ reg. users • daily: 15-30 reg. & ~150 unreg. users • 150 routes/dayThomas Erickson, Social Computing Group, IBM T. J. Watson Research Center. slide 36
  37. 37. Tour de CyclopathDoes it work? Usage (in season) • In use for 1.5 years • 1,500+ reg. users • daily: 15-30 reg. & ~150 unreg. users • 150 routes/day Edits • ~10,000 edits, by 400+ users • User input resulted For example: indicating “connectivity” between Como Ave and the in shorter routes: Intercampus Transitway allowed computation of a new route that routes 1K shorter is .6 K shorter than the old route (14.8=>13.8K) after 9 monthsThomas Erickson, Social Computing Group, IBM T. J. Watson Research Center. slide 37
  38. 38. Tour de CyclopathDoes it work? Usage (in season) • In use for 1.5 years • 1,500+ reg. users • daily: 15-30 reg. & ~150 unreg. users • 150 routes/day Edits • ~10,000 edits, by 400+ users • User input resulted Relationship between a person’s views (red) and edits (blue) in shorter routes: routes 1K shorter (14.8=>13.8K) after 9 months Individual variability • Radical variation in scope of interest and editing behaviorThomas Erickson, Social Computing Group, IBM T. J. Watson Research Center. slide 38
  39. 39. Tour de CyclopathResearch Issues:Eliciting work Improve map’s routes Improve others’ routes Improve your routes…in progress… Terveen, Priedhorsky, et al. ~ GroupLens Lab, EE/CS, University of MinnesotaThomas Erickson, Social Computing Group, IBM T. J. Watson Research Center. slide 39
  40. 40. Tour de CyclopathResearch Issues:Focusing work How might Cyclopath get users to do particular types of work in particular places? Terveen, Priedhorsky, et al. ~ GroupLens Lab, EE/CS, University of Minnesota Terveen, Priedhorsky, et al. ~ GroupLens Lab, EE/CS, University of MinnesotaThomas Erickson, Social Computing Group, IBM T. J. Watson Research Center. slide 40
  41. 41. Tour de CyclopathResearch Issues:Focusing work The Work Hints Cyclopath needs your help experiment (case 1) “…We have created a system which will automatically direct you to areas of the map that need work (more bikeability ratings entered or edits to the geography of the map itself)…” <link to “work hints” window>Thomas Erickson, Social Computing Group, IBM T. J. Watson Research Center. slide 41
  42. 42. Tour de CyclopathResearch Issues:Focusing work The Work Hints experiment (case 1) • Direct a person to an area that needs work • let them work until they’re ‘done’ • ask if they want to do another area Terveen, Priedhorsky, et al. ~ GroupLens Lab, EE/CS, University of MinnesotaThomas Erickson, Social Computing Group, IBM T. J. Watson Research Center. slide 42
  43. 43. Tour de CyclopathResearch Issues:Focusing work The Work Hints experiment (case 2) • Direct a person to an area that needs work • let them work until they’re ‘done’ • ask if they want to do another area Terveen, Priedhorsky, et al. ~ GroupLens Lab, EE/CS, University of MinnesotaThomas Erickson, Social Computing Group, IBM T. J. Watson Research Center. slide 43
  44. 44. Tour de CyclopathResearch Issues:Focusing work The Work Hints experiment• People did about the same amount of work per trial• BUT they did three times as many trials: 17.7 trials vs 5.0 trialsThomas Erickson, Social Computing Group, IBM T. J. Watson Research Center. slide 44
  45. 45. Tour de CyclopathResearch Issues:Focusing work The Work Hints experiment• People did about the same amount of work per trial• BUT they did three times as many trials: 17.7 trials vs 5.0 trials If small maroon circles can have this kind of effect, imagine what could be done by taking some lessons from the ESP game!Thomas Erickson, Social Computing Group, IBM T. J. Watson Research Center. slide 45
  46. 46. Tour de CyclopathResearch Issues: Summary of Findings• Visually highlighting work opportunities leads to more work• Users also do ‘extra’ work (beyond what is visually highlighted_• Taking users to areas they are familiar with leads to more work of certain types• Issuing a “call to action” and providing visually highlighting causes a broader range of users to do work (and moreover the “lead workers” are different)Thomas Erickson, Social Computing Group, IBM T. J. Watson Research Center. slide 46
  47. 47. Tour de CyclopathThe Future Cyclopath doesn’t have to be about bicyclists • skiers (iceWiki) • walkers • disabled • urban tourists • local history buffs • garden clubsThomas Erickson, Social Computing Group, IBM T. J. Watson Research Center. slide 47
  48. 48. Tour de CyclopathThe Future Cyclopath doesn’t have to be about bicyclists Nor does it have to be just for route finding • Planners (Cycloplan)Thomas Erickson, Social Computing Group, IBM T. J. Watson Research Center. slide 48
  49. 49. Tour de CyclopathThe Future Cyclopath doesn’t have to be about bicyclists Nor does it have to be just for route finding • Planners (Cycloplan) • Energy managementThomas Erickson, Social Computing Group, IBM T. J. Watson Research Center. slide 49
  50. 50. Tour de CyclopathThe Future Cyclopath doesn’t have to be about bicyclists Nor does it have to be just for route finding • Planners (Cycloplan) • Energy management • Resource sharingThomas Erickson, Social Computing Group, IBM T. J. Watson Research Center. slide 50
  51. 51. Tour de CyclopathTakeaways People have rich and nuanced knowledge of their habitats People are willing to do work to contribute this knowledge; furthermore, systems can be designed so that they better elicit and focus such work If the elicited knowledge is in a form that digital systems can use, the knowledge can be used in computations and services, as well as being used to refine itselfWhy this is of more general importance Cyclopath represents an increasingly important type of urban application that • combines human-sourced knowledge with digital data to create a common resource • provides mechanisms for eliciting and focusing human work to enhance the resource • enables computations that provide resource-based services • provides a platform for community collaboration • and has the potential to serve as a potent symbol of a smarter cityThomas Erickson, Social Computing Group, IBM T. J. Watson Research Center. slide 51
  52. 52. Tour de CyclopathThe Future Cyclopath doesn’t have to be about bicyclists Nor does it have to be just for route finding • Planners (Cycloplan) • Energy management • Resource sharing • Urban ecology + = ?Thomas Erickson, Social Computing Group, IBM T. J. Watson Research Center. slide 52
  53. 53. Tour de CyclopathWhy this is of general importance Cyclopath represents an increasingly important type of urban application that • combines human-sourced knowledge with digital data to create a common resource • provides mechanisms for eliciting and focusing human work to enhance the resource • enables computations that provide resource-based services • provides a platform for community collaboration • and has the potential to serve as a potent symbol of a smarter cityThomas Erickson, Social Computing Group, IBM T. J. Watson Research Center. slide 53
  54. 54. End Notes• Cyclopath was conceived of and developed by the GroupLens Lab at the University of Minnesota, not IBM (I am just an enthusiast).• Cyclopath is now open source. Find out more at http://cyclopath.org 5. Although greenway continues in right direction, take Park Ave due to bike lane 4. This section of bike path goes through beautiful community gardens 3. Enter greenway bike path via intersection 2. Take side street that has lights at two busy crossings 1. Start out in opposite direction to avoid busy main streetThomas Erickson, Social Computing Group, IBM T. J. Watson Research Center. slide 54 Terveen, Priedhorsky, et al. ~ GroupLens Lab, EE/CS, University of Minnesota

×