Map Based Interaction For Inputting In Mobile Phones

atishpatel06@gmail.com I ©IDC IIT Bombay, 2008 Copyrights reserved.

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


1,112m
people

population of india


1,112m
people

population of india

468m
illiterate


1,112m
people

population of india

303m
semi-illiterate

468m
illiterate


1,112m
people

population of india

303m
semi-illiterate

76% +
below primary
education 468m
illiterate


471m
mobile phone


471m
mobile phone

60m
internet


18m
rail travel


18m
rail travel

0.22m
e/i - ticket


increase net ticketing


provide usable
mobile-ticketing


focus on semi-literates
and illiterates


problems ?


problems ?

Inputting Source & Destination Station
why?


problems ?

Text input


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’


problems ?

Text input
Audio input


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


proposed solution


proposed solution:

Map-based interaction
for inputting
Source & Destination


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


working of map-based solution:


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


user study:


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


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.”


user testing:

with paper map: 15 people


user testing:


find native place, home, work town station


user testing:



rarely or once visited station


user testing:



rarely or once visited station

never visited station, with some hints


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.


user testing:

map-based vs textual method:


user testing:


5 illiterates, 10 semi-literates, 5 literates


user testing:



first attempt


user testing:



first attempt

second attempt


user testing:


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.


refining design:

solve confusion


refining design:

solve confusion

20px


refining design:

solve confusion, overload


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


other areas


other areas

Health Care Sector


other areas

Health Care Sector
Governance


other areas

Health Care Sector
Governance
Farming, etc.


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


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Map Based Interaction For Inputting In Mobile Phones

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