Map Based Interaction For Mobile Phones

670 views
612 views

Published on

I presented this deck for Paper: Map based interaction in Mobile Phones, published at India HCI and IDID 2010 conference. This research was done during my Master's of Interaction Design 2006-08 at IDC, IIT Boambay.

Published in: Design
0 Comments
1 Like
Statistics
Notes
  • Be the first to comment

No Downloads
Views
Total views
670
On SlideShare
0
From Embeds
0
Number of Embeds
8
Actions
Shares
0
Downloads
0
Comments
0
Likes
1
Embeds 0
No embeds

No notes for slide

Map Based Interaction For Mobile Phones

  1. 1. atishpatel06@gmail.com Map-based interaction for inputting in Mobile phones Atish Patel I Project II I Interaction Design I M. Des. 2006-08 I IDC, IIT Bombay
  2. 2. atishpatel06@gmail.com 1,112m people population of india
  3. 3. atishpatel06@gmail.com 1,112m people population of india 468m illiterate
  4. 4. atishpatel06@gmail.com 1,112m people population of india 303m semi-illiterate 468m illiterate
  5. 5. atishpatel06@gmail.com 1,112m people population of india 303m semi-illiterate 76% + below primary education 468m illiterate
  6. 6. atishpatel06@gmail.com 471m mobile phone
  7. 7. atishpatel06@gmail.com 471m mobile phone 60m internet
  8. 8. atishpatel06@gmail.com 18m rail travel
  9. 9. atishpatel06@gmail.com 18m rail travel 0.22m e/i - ticket
  10. 10. atishpatel06@gmail.com increase net ticketing
  11. 11. atishpatel06@gmail.com provide usable mobile-ticketing
  12. 12. atishpatel06@gmail.com focus on semi-literates and illiterates
  13. 13. atishpatel06@gmail.com problems ?
  14. 14. atishpatel06@gmail.com problems ? Inputting Source & Destination Station why?
  15. 15. atishpatel06@gmail.com problems ? Text input
  16. 16. atishpatel06@gmail.com problems ? Text input 1. ~8000 station in IR, 3467 + for booking 2. ~76% of population semi-literate + Illiterate 3. People not mobile savvy, no SMS, no Contact Book 4. ‘BAN’ gives 36 station in filtered list 5. Station name more than 10 letters; ‘Vishakapatnam Junction’ 6. ‘Anand Nagar - Gujarat’ … ‘Anand Vihar - West Bengal’
  17. 17. atishpatel06@gmail.com problems ? Text input Audio input
  18. 18. atishpatel06@gmail.com problems ? Text input Audio input 1. 22 major languages, 1600 dialects 2. Great regional influence; ‘Mumbai - Bambai’ … ‘Vadodara - Baroda’ 3. Pronunciation varies drastically from person to person 4. Audio based IVRS not liked; unavoidable options, mistakes
  19. 19. atishpatel06@gmail.com proposed solution
  20. 20. atishpatel06@gmail.com proposed solution: Map-based interaction for inputting Source & Destination
  21. 21. atishpatel06@gmail.com proposed solution: Map-based interaction for inputting Source & Destination Map of India divided into 3 X 3 grid, mapped onto number pad of mobile phone
  22. 22. atishpatel06@gmail.com working of map-based solution:
  23. 23. atishpatel06@gmail.com working of map-based solution:
  24. 24. atishpatel06@gmail.com working of map-based solution:
  25. 25. atishpatel06@gmail.com working of map-based solution:
  26. 26. atishpatel06@gmail.com working of map-based solution:
  27. 27. atishpatel06@gmail.com working of map-based solution: 1. Normally 4 levels of zoom 2. Total stations that can be catered > 5000 3. If density of stations high, 5 zoom & if less, 3 zoom levels
  28. 28. atishpatel06@gmail.com user study:
  29. 29. atishpatel06@gmail.com user study: Found, 1. People travel yearly to their native places 2. Singles / Workers between home & work town 3. Few travel to new tourist or unknown places
  30. 30. atishpatel06@gmail.com user study: Found, 1. People travel yearly to their native places 2. Singles / Workers between home & work town 3. Few travel to new tourist or unknown places Also, stated; “We try to find or ask some information if we have to go to a new place; like which state, nearest junction station, stations to have famous food, etc.” “We have rough idea of the location of our native place and if we are shown map, we will be able to figure out where exactly it is.”
  31. 31. atishpatel06@gmail.com user testing: with paper map: 15 people
  32. 32. atishpatel06@gmail.com user testing: with paper map: 15 people find native place, home, work town station
  33. 33. atishpatel06@gmail.com user testing: with paper map: 15 people find native place, home, work town station
  34. 34. atishpatel06@gmail.com user testing: with paper map: 15 people find native place, home, work town station rarely or once visited station
  35. 35. atishpatel06@gmail.com user testing: with paper map: 15 people find native place, home, work town station rarely or once visited station
  36. 36. atishpatel06@gmail.com user testing: with paper map: 15 people find native place, home, work town station rarely or once visited station never visited station, with some hints
  37. 37. atishpatel06@gmail.com user testing: with paper map: 15 people find native place, home, work town station rarely or once visited station never visited station, with some hints
  38. 38. atishpatel06@gmail.com user testing: with Nokia 6300 prototype Semi-literate people could not create or write name of their home town stations in English or native language; but, they could easily recognize their already written station name. Also, this map based navigation was little difficult to understand at first go. But, when the users reached 1st or 2nd zoom in level, then the navigation model was completely clear to them and they started using it confidently.
  39. 39. atishpatel06@gmail.com user testing: map-based vs textual method:
  40. 40. atishpatel06@gmail.com user testing: map-based vs textual method: 5 illiterates, 10 semi-literates, 5 literates
  41. 41. atishpatel06@gmail.com user testing: map-based vs textual method: 5 illiterates, 10 semi-literates, 5 literates first attempt
  42. 42. atishpatel06@gmail.com user testing: map-based vs textual method: 5 illiterates, 10 semi-literates, 5 literates first attempt
  43. 43. atishpatel06@gmail.com user testing: map-based vs textual method: 5 illiterates, 10 semi-literates, 5 literates first attempt second attempt
  44. 44. atishpatel06@gmail.com user testing: map-based vs textual method: 5 illiterates, 10 semi-literates, 5 literates first attempt second attempt
  45. 45. atishpatel06@gmail.com user testing: map-based vs textual method: Non-mobile phone savvy & semi-literate people, very strongly preferred map-based method over text inputting. This was because of ease in understanding map-based inputting compared to three tap textual input model.
  46. 46. atishpatel06@gmail.com refining design: solve confusion
  47. 47. atishpatel06@gmail.com refining design: solve confusion
  48. 48. atishpatel06@gmail.com refining design: solve confusion 20px
  49. 49. atishpatel06@gmail.com refining design: solve confusion, overload
  50. 50. atishpatel06@gmail.com refining design: solve confusion, overload Load Information on map step by step: 1st level - States demarcated , Capital cities and only Trunk routes 2nd level - Major stations and Other routes 3rd level - All stations with major stations bold 4th level - Stations present in grid in form of list
  51. 51. atishpatel06@gmail.com other areas
  52. 52. atishpatel06@gmail.com other areas Health Care Sector
  53. 53. atishpatel06@gmail.com other areas Health Care Sector Governance
  54. 54. atishpatel06@gmail.com other areas Health Care Sector Governance Farming, etc.
  55. 55. atishpatel06@gmail.com thank you  Prof. Anirudha Joshi for guidance Prof. Athavankar, Prof. Sreekumar, Prof. Ravi Poovaiah for inputs Friends/Batch-mates of ACE and IDC Users and Participants of User Studies Images: www.flickr.com, www.google.com , www.wikipedia.com
  56. 56. atishpatel06@gmail.com ???

×