Tamara Chahine
1
Design Lab, University of Sydney
Designing Mobile Personal Informatics Applications for Urban Settings
Martin Tomitsch
Thursday, 30 June 2011
2
TodayContext & problems
Mobile application
Deployment study
Key insights
Future work
Design process
Thursday, 30 June 2011
4
MotivationUsing public transport in Sydney is a mostly
negative experience.
Population is growing and infrastructure isnʼt keeping up.
Traveller information systems have been shown to enhance the usability of public transport
Thursday, 30 June 2011
5
Enrich the customer experience of public transport
Make information about train travel more visible
Encourage new forms of social interaction
Goals for design
Thursday, 30 June 2011
8
Real-time informationLocation
Travelled distance
Remaining distance
Time spent travelling
Time left
Current Speed
Thursday, 30 June 2011
11
8 prospective participants, mix of full time workers and students catching the train regularly.
Phase one1 week without the application, paper diaries, questionnaire
Phase two2 weeks with the application, paper diaries, questionnaire, interview
Thursday, 30 June 2011
13
Recording data
Internal motivation
“I didnʼt see a consequence; it was hard to keep using it”
Physical context
User attention
Technical issues
Thursday, 30 June 2011
14
Context
Displaying real-time data
Usefulness
Integration with existing data
Thursday, 30 June 2011
15
Visualising historical data
Users liked learning new things about themselves
Historical data integrated with timetable information to plan travel
Thursday, 30 June 2011
16
Supporting social interaction
People enjoy comparing themselves to others.
Incorporating social + gaming interactions
Thursday, 30 June 2011
17
Technical implementationConstant connectivity & GPS
Reliability and accuracy
Multitasking support
Thursday, 30 June 2011
19
Future workHow can the visualisation of aggregated user-
generated data combined with existing information such as timetable data leverage the
reliability of information?
What kind of insights can people gain from sharing and social contrasting of personal data
about travel habits?
Thursday, 30 June 2011
21
Urban informatics
“collection, classification, storage, retrieval and dissemination of recorded
knowledge in a city”
[1] Foth, M. Handbook of Research on Urban Informatics: The Practice and Promise of the RealTime City. IGI Global: (2009) Hershey, Pennsylvania, USA.
Thursday, 30 June 2011
22
Personal informatics
“A class of tools that help people collect personally relevant information for the
purpose of self-reflection and self-monitoring. These tools help people gain self-knowledge about one's behaviors,
habits, and thoughts.”
[1] Personal Informatics: http://personalinformatics.org/
Thursday, 30 June 2011
23
http://www.smh.com.au/technology/technology-news/smart-machines-on-way-but-still-no-sign-of-tickets-20110531-1feql.html
http://www.smh.com.au/national/off-again-on-again-the-cbd-metro-is-off-again--well-nearly-20100119-mj6k.html
Thursday, 30 June 2011
24
[2] Field trial of Tiramisu: crowd-sourcing bus arrival times to spur co-design www.tiramisutransit.com/
[1] OneBusAway: Results from Providing Real-Time Arrival Information for Public Transit www.onebusaway.org/
[3] TripView: http://www.grofsoft.com/tripview.php
Thursday, 30 June 2011