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The Impact of Remote Sensing on
the Everyday Lives of Mobile
Users in Urban Areas
Andreas Kamilaris and Andreas Pitsillides

ICMU 2014, Singapore

8 January 2014
How can real-world services, offered
by urban sensors, be used by mobile
users to shape their everyday lives?

Impact of
remote mobile
sensing?

Design aspects
of mobile apps?

How to extract significant information
from raw data provided by hundreds of
sensors deployed nearby the user?
UrbanRadar Mobile App

Temperature Humidity Wind
Luminosity Air Quality
Noise Weather Forecast
Urban Mashups
Extended Urban Mashups
Case Study
Two-week
period

13 Users

Two mini
focus groups

6 Undergraduate
Students

7 Postgraduate
Students
Case Study
6 Undergraduate
Students

7 Postgraduate
Students

Frequency of use: once per day

Frequency of use: once per day

More engaged with the app

Less engaged – more busy

Popular services: weather
forecast, temperature, wind, air
quality, humidity

Popular services: weather
forecast, temperature, wind

Motivation: health, curiosity, work
entertainment,

Motivation: curiosity, safety, work, sports

Activities: housework, personal
care, others (car wash)

Activities: housework, leisure,
personal care
Case Study
Urban Mashups

Event

Services employed

Asthma

Air Quality, Humidity

Leisure trip

Temperature, Wind

Football playing

Temperature, Humidity

Comfort level

Temperature, Humidity

Good weather indicator

Temperature, Wind

Personal weather monitor

Temperature, Weather Forecast

Going to the beach

Temperature, Weather Forecast, Wind
Case Study
6 Undergraduate
Students

7 Postgraduate
Students

“Useful due to dangers around us”

“Useful for outdoor activities”

“Helps to engage with the
physical environment”

“First-aid box”

“Understanding of pollution may
create some anxiety”

“A stimuli for a long-term change”

“Being informed is the first step of
change”

“It depends on the way you receive
this information”

“The application should engage with
the user, and not the opposite”

“Move from informing to suggesting”
Design Principles
1. Personalization and
User Profiling

2. Notifications and Alerting

3. Guidelines and
Recommendations
Design Principles
4. Forecasting and
Predictions

5. Accuracy and Reliability

6. Meaningful
Information
Design Principles

7. Easy creation of
Rules

8. Visualizations

9. Comparative
feedback
Design Principles

10. Locating the Source
of the Problem

11. EcoVisualizations
Larger case study
More users
Longer period
More devices/services
Better analysis
Case Study
Design Principles
Thank You!

Andreas Kamilaris
email: camel9@gmail.com

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The Impact of Remote Sensing on the Everyday Lives of Mobile Users in Urban Areas

  • 1. The Impact of Remote Sensing on the Everyday Lives of Mobile Users in Urban Areas Andreas Kamilaris and Andreas Pitsillides ICMU 2014, Singapore 8 January 2014
  • 2.
  • 3.
  • 4.
  • 5. How can real-world services, offered by urban sensors, be used by mobile users to shape their everyday lives? Impact of remote mobile sensing? Design aspects of mobile apps? How to extract significant information from raw data provided by hundreds of sensors deployed nearby the user?
  • 6. UrbanRadar Mobile App Temperature Humidity Wind Luminosity Air Quality Noise Weather Forecast
  • 9. Case Study Two-week period 13 Users Two mini focus groups 6 Undergraduate Students 7 Postgraduate Students
  • 10. Case Study 6 Undergraduate Students 7 Postgraduate Students Frequency of use: once per day Frequency of use: once per day More engaged with the app Less engaged – more busy Popular services: weather forecast, temperature, wind, air quality, humidity Popular services: weather forecast, temperature, wind Motivation: health, curiosity, work entertainment, Motivation: curiosity, safety, work, sports Activities: housework, personal care, others (car wash) Activities: housework, leisure, personal care
  • 11. Case Study Urban Mashups Event Services employed Asthma Air Quality, Humidity Leisure trip Temperature, Wind Football playing Temperature, Humidity Comfort level Temperature, Humidity Good weather indicator Temperature, Wind Personal weather monitor Temperature, Weather Forecast Going to the beach Temperature, Weather Forecast, Wind
  • 12. Case Study 6 Undergraduate Students 7 Postgraduate Students “Useful due to dangers around us” “Useful for outdoor activities” “Helps to engage with the physical environment” “First-aid box” “Understanding of pollution may create some anxiety” “A stimuli for a long-term change” “Being informed is the first step of change” “It depends on the way you receive this information” “The application should engage with the user, and not the opposite” “Move from informing to suggesting”
  • 13. Design Principles 1. Personalization and User Profiling 2. Notifications and Alerting 3. Guidelines and Recommendations
  • 14. Design Principles 4. Forecasting and Predictions 5. Accuracy and Reliability 6. Meaningful Information
  • 15. Design Principles 7. Easy creation of Rules 8. Visualizations 9. Comparative feedback
  • 16. Design Principles 10. Locating the Source of the Problem 11. EcoVisualizations
  • 17. Larger case study More users Longer period More devices/services Better analysis Case Study Design Principles