SlideShare a Scribd company logo
1 of 18
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

More Related Content

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

Green Watch PICNIC presentation by Daniel Kaplan
Green Watch PICNIC presentation by Daniel KaplanGreen Watch PICNIC presentation by Daniel Kaplan
Green Watch PICNIC presentation by Daniel Kaplan
Fing
 
Leveraging the Power of Smartphones: Real Time Monitoring of Water Points
Leveraging the Power of Smartphones: Real Time Monitoring of Water PointsLeveraging the Power of Smartphones: Real Time Monitoring of Water Points
Leveraging the Power of Smartphones: Real Time Monitoring of Water Points
IJERA Editor
 
Ubiquitous Services and Ethics: MIMOSA, MINAmI, and UBI-SERV
Ubiquitous Services and Ethics: MIMOSA, MINAmI, and UBI-SERVUbiquitous Services and Ethics: MIMOSA, MINAmI, and UBI-SERV
Ubiquitous Services and Ethics: MIMOSA, MINAmI, and UBI-SERV
Iiro Jantunen
 
Development of an Institutional App by adopting Android Play
Development of an Institutional App by adopting Android PlayDevelopment of an Institutional App by adopting Android Play
Development of an Institutional App by adopting Android Play
IJMTST Journal
 
Mobile Technologies and Climate Change
Mobile Technologies and Climate ChangeMobile Technologies and Climate Change
Mobile Technologies and Climate Change
Anjesh Tuladhar
 

Similar to The Impact of Remote Sensing on the Everyday Lives of Mobile Users in Urban Areas (20)

IRJET- University Campus Event Navigation System
IRJET-  	  University Campus Event Navigation System   IRJET-  	  University Campus Event Navigation System
IRJET- University Campus Event Navigation System
 
Meet health app
Meet health appMeet health app
Meet health app
 
User-Centered (Mobile) Device Strategy
User-Centered (Mobile) Device StrategyUser-Centered (Mobile) Device Strategy
User-Centered (Mobile) Device Strategy
 
Green Watch PICNIC presentation by Daniel Kaplan
Green Watch PICNIC presentation by Daniel KaplanGreen Watch PICNIC presentation by Daniel Kaplan
Green Watch PICNIC presentation by Daniel Kaplan
 
E sara Android Application
E sara Android ApplicationE sara Android Application
E sara Android Application
 
Leveraging the Power of Smartphones: Real Time Monitoring of Water Points
Leveraging the Power of Smartphones: Real Time Monitoring of Water PointsLeveraging the Power of Smartphones: Real Time Monitoring of Water Points
Leveraging the Power of Smartphones: Real Time Monitoring of Water Points
 
IRJET - Android App for Women Security
IRJET -  	  Android App for Women SecurityIRJET -  	  Android App for Women Security
IRJET - Android App for Women Security
 
Ubiquitous Services and Ethics: MIMOSA, MINAmI, and UBI-SERV
Ubiquitous Services and Ethics: MIMOSA, MINAmI, and UBI-SERVUbiquitous Services and Ethics: MIMOSA, MINAmI, and UBI-SERV
Ubiquitous Services and Ethics: MIMOSA, MINAmI, and UBI-SERV
 
How to Analyze the Privacy of 1 Million Smartphone Apps
How to Analyze the Privacy of 1 Million Smartphone AppsHow to Analyze the Privacy of 1 Million Smartphone Apps
How to Analyze the Privacy of 1 Million Smartphone Apps
 
IRJET- Student Statistics System using Confined Android App
IRJET- Student Statistics System using Confined Android AppIRJET- Student Statistics System using Confined Android App
IRJET- Student Statistics System using Confined Android App
 
Personal Security Tracking based on Android and Web Application
Personal Security Tracking based on Android and Web ApplicationPersonal Security Tracking based on Android and Web Application
Personal Security Tracking based on Android and Web Application
 
Awareness and usage of mobile applications on post ssss
Awareness and usage of mobile applications on post ssssAwareness and usage of mobile applications on post ssss
Awareness and usage of mobile applications on post ssss
 
Development of an Institutional App by adopting Android Play
Development of an Institutional App by adopting Android PlayDevelopment of an Institutional App by adopting Android Play
Development of an Institutional App by adopting Android Play
 
IRJET- App Misbehaviour Check: Development of Virus Modeling, Propagation...
IRJET-  	  App Misbehaviour Check: Development of Virus Modeling, Propagation...IRJET-  	  App Misbehaviour Check: Development of Virus Modeling, Propagation...
IRJET- App Misbehaviour Check: Development of Virus Modeling, Propagation...
 
Mobile Technologies and Climate Change
Mobile Technologies and Climate ChangeMobile Technologies and Climate Change
Mobile Technologies and Climate Change
 
IRJET- Campus Navigation System Based on Mobile Augmented Reality
IRJET- Campus Navigation System Based on Mobile Augmented RealityIRJET- Campus Navigation System Based on Mobile Augmented Reality
IRJET- Campus Navigation System Based on Mobile Augmented Reality
 
IRJET- E-Academic Wallet for Students Application
IRJET- E-Academic Wallet for Students ApplicationIRJET- E-Academic Wallet for Students Application
IRJET- E-Academic Wallet for Students Application
 
Comparative Study and Analysis of Multiplatform Mobile Application Development
Comparative Study and Analysis of Multiplatform Mobile Application DevelopmentComparative Study and Analysis of Multiplatform Mobile Application Development
Comparative Study and Analysis of Multiplatform Mobile Application Development
 
Nolong.in: an android based incident notification application with push notif...
Nolong.in: an android based incident notification application with push notif...Nolong.in: an android based incident notification application with push notif...
Nolong.in: an android based incident notification application with push notif...
 
2009 Mux Florentstroppa Mobilecontext Small
2009 Mux Florentstroppa Mobilecontext Small2009 Mux Florentstroppa Mobilecontext Small
2009 Mux Florentstroppa Mobilecontext Small
 

More from Andreas Kamilaris

AgriBigCAT: An Online Platform for Estimating the Impact of Livestock Agricul...
AgriBigCAT: An Online Platform for Estimating the Impact of Livestock Agricul...AgriBigCAT: An Online Platform for Estimating the Impact of Livestock Agricul...
AgriBigCAT: An Online Platform for Estimating the Impact of Livestock Agricul...
Andreas Kamilaris
 
Estimating the Impact of Agriculture on the Environment of Catalunya by means...
Estimating the Impact of Agriculture on the Environment of Catalunya by means...Estimating the Impact of Agriculture on the Environment of Catalunya by means...
Estimating the Impact of Agriculture on the Environment of Catalunya by means...
Andreas Kamilaris
 
Agri-IoT: A Semantic Framework for Internet of Things-enabled Smart Farming A...
Agri-IoT: A Semantic Framework for Internet of Things-enabled Smart Farming A...Agri-IoT: A Semantic Framework for Internet of Things-enabled Smart Farming A...
Agri-IoT: A Semantic Framework for Internet of Things-enabled Smart Farming A...
Andreas Kamilaris
 

More from Andreas Kamilaris (20)

Experiences from the use of CovTracer: A contact tracing tool deployed in Cyp...
Experiences from the use of CovTracer: A contact tracing tool deployed in Cyp...Experiences from the use of CovTracer: A contact tracing tool deployed in Cyp...
Experiences from the use of CovTracer: A contact tracing tool deployed in Cyp...
 
Transferring manure from livestock farms to be used as fertilizer in crop fields
Transferring manure from livestock farms to be used as fertilizer in crop fieldsTransferring manure from livestock farms to be used as fertilizer in crop fields
Transferring manure from livestock farms to be used as fertilizer in crop fields
 
Training deep learning models to count using synthetic images
Training deep learning models to count using synthetic imagesTraining deep learning models to count using synthetic images
Training deep learning models to count using synthetic images
 
Geospatial Analysis and Internet of Things in Environmental Informatics
Geospatial Analysis and Internet of Things in Environmental InformaticsGeospatial Analysis and Internet of Things in Environmental Informatics
Geospatial Analysis and Internet of Things in Environmental Informatics
 
A Review on the Application of Natural Computing in Environmental Informatics
A Review on the Application of Natural Computing in Environmental InformaticsA Review on the Application of Natural Computing in Environmental Informatics
A Review on the Application of Natural Computing in Environmental Informatics
 
The evolution of pervasive computing towards a Web of Things
The evolution of pervasive computing towards a Web of ThingsThe evolution of pervasive computing towards a Web of Things
The evolution of pervasive computing towards a Web of Things
 
AgriBigCAT: An Online Platform for Estimating the Impact of Livestock Agricul...
AgriBigCAT: An Online Platform for Estimating the Impact of Livestock Agricul...AgriBigCAT: An Online Platform for Estimating the Impact of Livestock Agricul...
AgriBigCAT: An Online Platform for Estimating the Impact of Livestock Agricul...
 
Estimating the Environmental Impact of Agriculture by means of Geospatial and...
Estimating the Environmental Impact of Agriculture by means of Geospatial and...Estimating the Environmental Impact of Agriculture by means of Geospatial and...
Estimating the Environmental Impact of Agriculture by means of Geospatial and...
 
Disaster Monitoring using Unmanned Aerial Vehicles and Deep Learning
Disaster Monitoring using Unmanned Aerial Vehicles and Deep LearningDisaster Monitoring using Unmanned Aerial Vehicles and Deep Learning
Disaster Monitoring using Unmanned Aerial Vehicles and Deep Learning
 
A Web of Things Based Eco-System for Urban Computing - Towards Smarter Cities
A Web of Things Based Eco-System for Urban Computing - Towards Smarter CitiesA Web of Things Based Eco-System for Urban Computing - Towards Smarter Cities
A Web of Things Based Eco-System for Urban Computing - Towards Smarter Cities
 
Big data analysis and Integration of Geophysical information from the Catalan...
Big data analysis and Integration of Geophysical information from the Catalan...Big data analysis and Integration of Geophysical information from the Catalan...
Big data analysis and Integration of Geophysical information from the Catalan...
 
Estimating the Impact of Agriculture on the Environment of Catalunya by means...
Estimating the Impact of Agriculture on the Environment of Catalunya by means...Estimating the Impact of Agriculture on the Environment of Catalunya by means...
Estimating the Impact of Agriculture on the Environment of Catalunya by means...
 
Agri-IoT: A Semantic Framework for Internet of Things-enabled Smart Farming A...
Agri-IoT: A Semantic Framework for Internet of Things-enabled Smart Farming A...Agri-IoT: A Semantic Framework for Internet of Things-enabled Smart Farming A...
Agri-IoT: A Semantic Framework for Internet of Things-enabled Smart Farming A...
 
Do ”Web of Things Platforms” Truly Follow the Web of Things?
Do ”Web of Things Platforms” Truly Follow the Web of Things?Do ”Web of Things Platforms” Truly Follow the Web of Things?
Do ”Web of Things Platforms” Truly Follow the Web of Things?
 
WOTS2E: A Search Engine for a Semantic Web of Things
WOTS2E: A Search Engine for a Semantic Web of ThingsWOTS2E: A Search Engine for a Semantic Web of Things
WOTS2E: A Search Engine for a Semantic Web of Things
 
Enabling the physical world to the Internet and potential benefits for agricu...
Enabling the physical world to the Internet and potential benefits for agricu...Enabling the physical world to the Internet and potential benefits for agricu...
Enabling the physical world to the Internet and potential benefits for agricu...
 
Privacy Concerns in Sharing Personal Consumption Data through Online Applicat...
Privacy Concerns in Sharing Personal Consumption Data through Online Applicat...Privacy Concerns in Sharing Personal Consumption Data through Online Applicat...
Privacy Concerns in Sharing Personal Consumption Data through Online Applicat...
 
Social Electricity User Manual
Social Electricity User ManualSocial Electricity User Manual
Social Electricity User Manual
 
Social Electricity
Social ElectricitySocial Electricity
Social Electricity
 
Social Electricity Online Platform (SEOP) EU Project Description
Social Electricity Online Platform (SEOP) EU Project DescriptionSocial Electricity Online Platform (SEOP) EU Project Description
Social Electricity Online Platform (SEOP) EU Project Description
 

Recently uploaded

Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers:  A Deep Dive into Serverless Spatial Data and FMECloud Frontiers:  A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Safe Software
 

Recently uploaded (20)

MINDCTI Revenue Release Quarter One 2024
MINDCTI Revenue Release Quarter One 2024MINDCTI Revenue Release Quarter One 2024
MINDCTI Revenue Release Quarter One 2024
 
"I see eyes in my soup": How Delivery Hero implemented the safety system for ...
"I see eyes in my soup": How Delivery Hero implemented the safety system for ..."I see eyes in my soup": How Delivery Hero implemented the safety system for ...
"I see eyes in my soup": How Delivery Hero implemented the safety system for ...
 
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemkeProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke
 
AXA XL - Insurer Innovation Award Americas 2024
AXA XL - Insurer Innovation Award Americas 2024AXA XL - Insurer Innovation Award Americas 2024
AXA XL - Insurer Innovation Award Americas 2024
 
EMPOWERMENT TECHNOLOGY GRADE 11 QUARTER 2 REVIEWER
EMPOWERMENT TECHNOLOGY GRADE 11 QUARTER 2 REVIEWEREMPOWERMENT TECHNOLOGY GRADE 11 QUARTER 2 REVIEWER
EMPOWERMENT TECHNOLOGY GRADE 11 QUARTER 2 REVIEWER
 
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers:  A Deep Dive into Serverless Spatial Data and FMECloud Frontiers:  A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
 
GenAI Risks & Security Meetup 01052024.pdf
GenAI Risks & Security Meetup 01052024.pdfGenAI Risks & Security Meetup 01052024.pdf
GenAI Risks & Security Meetup 01052024.pdf
 
A Beginners Guide to Building a RAG App Using Open Source Milvus
A Beginners Guide to Building a RAG App Using Open Source MilvusA Beginners Guide to Building a RAG App Using Open Source Milvus
A Beginners Guide to Building a RAG App Using Open Source Milvus
 
Strategies for Landing an Oracle DBA Job as a Fresher
Strategies for Landing an Oracle DBA Job as a FresherStrategies for Landing an Oracle DBA Job as a Fresher
Strategies for Landing an Oracle DBA Job as a Fresher
 
Apidays New York 2024 - The value of a flexible API Management solution for O...
Apidays New York 2024 - The value of a flexible API Management solution for O...Apidays New York 2024 - The value of a flexible API Management solution for O...
Apidays New York 2024 - The value of a flexible API Management solution for O...
 
AWS Community Day CPH - Three problems of Terraform
AWS Community Day CPH - Three problems of TerraformAWS Community Day CPH - Three problems of Terraform
AWS Community Day CPH - Three problems of Terraform
 
TrustArc Webinar - Unlock the Power of AI-Driven Data Discovery
TrustArc Webinar - Unlock the Power of AI-Driven Data DiscoveryTrustArc Webinar - Unlock the Power of AI-Driven Data Discovery
TrustArc Webinar - Unlock the Power of AI-Driven Data Discovery
 
MS Copilot expands with MS Graph connectors
MS Copilot expands with MS Graph connectorsMS Copilot expands with MS Graph connectors
MS Copilot expands with MS Graph connectors
 
Manulife - Insurer Transformation Award 2024
Manulife - Insurer Transformation Award 2024Manulife - Insurer Transformation Award 2024
Manulife - Insurer Transformation Award 2024
 
Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...
Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...
Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...
 
Emergent Methods: Multi-lingual narrative tracking in the news - real-time ex...
Emergent Methods: Multi-lingual narrative tracking in the news - real-time ex...Emergent Methods: Multi-lingual narrative tracking in the news - real-time ex...
Emergent Methods: Multi-lingual narrative tracking in the news - real-time ex...
 
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...
 
presentation ICT roal in 21st century education
presentation ICT roal in 21st century educationpresentation ICT roal in 21st century education
presentation ICT roal in 21st century education
 
Navi Mumbai Call Girls 🥰 8617370543 Service Offer VIP Hot Model
Navi Mumbai Call Girls 🥰 8617370543 Service Offer VIP Hot ModelNavi Mumbai Call Girls 🥰 8617370543 Service Offer VIP Hot Model
Navi Mumbai Call Girls 🥰 8617370543 Service Offer VIP Hot Model
 
DBX First Quarter 2024 Investor Presentation
DBX First Quarter 2024 Investor PresentationDBX First Quarter 2024 Investor Presentation
DBX First Quarter 2024 Investor Presentation
 

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