Using Real Time data to Understand and support Human Behaviour Paul Watson Newcastle University, UK.

Using Real Time data to Understand and support Human Behaviour

Paul WatsonNewcastle University, UK

Real time Data Sources increasing

Sensors

Environmental

Medical

Location

CCTV ANPR

RFID

In Car

http://culturelab.ncl.ac.uk/ambientkitchen/images/antenna_001.jpg


People (directly)

e-mail

twitter

text


Software as a Service

People (indirectly)

Challenge

How can we use real-time information to influence behaviour (for the good)?

Key Stages

How to model and reason about behaviour?

How to influence behaviour?

Intervention

Sensors

What data to collect?

Examples from Recent Work at Newcastle.....

Social Inclusion Through the Digital Economy (Hub)

Social Inclusion

Digital Technologies

Professor Phil BlytheVisalakshmi Suresh

CENEX Electric Smart Car

GPS &

Engine Management Systems

Real-time Vehicle Monitoring

Existing Traffic

Management Systems

Real-time Data Management

(at Ncl University)

TRIP SUMMARY

1. Power Consumed (.0611KWh)

2. Average Temperature (4)

3. Break Pedal Pressed (996)

4. Distance (8.4 km)

5. Speed (34 km/h)

6. Carbon foot print (6.972 g)

TRIP SUMMARY

Battery Depletion

Integrate with Satnavto guide driver to charging station

Assisting Older Drivers

• Can data analysis determine long-term issues?– cognitive impairments

• Short-term problems– effects of drugs

• Suggest the need for assistive technologies

Influencing Driver Behaviour



Intervention

Sensors


Engine ManagementGPS

Identify patterns that require interventione.g. Distance Alert

Professor Patrick Olivier, Newcastle University

Can we use pervasive technologies to allow people to stay longer in their own homes?

Supporting people with dementia

• People in the early stages of dementia want to continue living at home.

• They have problems with:– episodic memory – executive control (planning,

sequencing, attentional control)

“Gets the kettle, fills it, switches it on…But then she’ll stand there, and I’ll say – ‘what are you doing now?’ and I’ve jogged her memory again…She gets the coffee jar, and she’ll take the top off the jar. And she’ll look at it and think ‘what am I doing with this off for?”

“Gets the kettle, fills it, switches it on…But then she’ll stand there, and I’ll say – ‘what are you doing now?’ and I’ve jogged her memory again…She gets the coffee jar, and she’ll take the top off the jar. And she’ll look at it and think ‘what am I doing with this off for?”

Ambient Kitchen

Activity Recognition Video

Influencing People with Dementia



Intervention

Sensors


RFID Accelerometers in utensilsFloor pressureVideo

Data Mining,Activity RecognitionPartially Ordered Markov Decision Processes

PromptingAlerts

e-Science Central

• Software as a Service for e-Science

Software as a Service

Sharing can be integral part of application- in real time

System receives info from all users in real time• challenge is how to influence user behaviour

Real-timedataexchange

Sensors

Actuators

e-Science CentralStore, Analyse, Automate, Share

e-ScienceCentrale-ScienceCentral

• Dynamic Resource Allocation• Pay-as-you-Go*

•Web based•Works anywhere•Web based•Works anywhere

•Controlled Sharing• Collaboration• Communities

•Controlled Sharing• Collaboration• Communities

Blogs and links

e-Science Central – Social Networking

Provenance powers Dashboards & Collective Intelligence

Advise on best practise : “Most of your colleagues use workflow W to analyse the type of data you’ve just uploaded”Alert when interesting new data appearsPutting people in touch with experts

Influencing Behaviour of Scientists



Intervention

Sensors


Provenance (store, analyse, share)Social Connections

Graph theory, collective intelligence, provenance analysis

3 Key Technical Challenges

Understanding and Influencing Behaviour

Real World Computer Model

Capture Model

Reason

Influence

Computer ScientistsDomain Researchers

Social Scientists

Personalisation• Influencing requires personalisation• There has been recent work on algorithms to

analyse vast amounts of data– e.g. collective intelligence, web analysis

• Assumptions behind most of this work:– no privacy issues– results not needed in real-time

• More focus needed on personalisation & timeliness– presenting useful information, in real-time, observing

privacy

Scalability

• Real-time data pattern matching & processing complex event processing?

• Historic Analysis cloud?

Real Time Historic

App App App

Consumers

Consumers & Generators

App

Sensors

Generators

App

Data WarehouseEvent Processing

Our General Architecture

Inform

Create ModelsCalibrate ModelsAggregations

Filter

Sensor events→ Application events

Summary

• Real time data increasing– Sensors– Software as a Service

• Key is to extract value from this data by understanding the real-world behaviour it represents

• Grand challenge is to use this information to influence behaviour (for the good)

Using Real Time data to Understand and support Human Behaviour Paul Watson Newcastle University, UK.

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