1. Mobile device sensor data in ESS surveys WP5
ROME
April 11th | 12th
MIMOD
Mixed-Mode Designs for Social Surveys
FINAL WORKSHOP
Mobile device sensor data in ESS surveys
WP5
Ole Mussmann and Barry Schouten
Istatistics Netherlands (CBS)

2. Utility of mobile device and wearable sensors
Approach sensor utility:
Construct criteria for potential pairs of ESS surveys and sensor data;
From perspective survey measurement;
From perspective sensor quality and costs;
From perspective respondent;
Identify ESS topics that are candidates under survey measurement criteria;
Make an inventory of mobile device and wearable sensors;
Construct combinations of survey topics and sensors;
Evaluate combinations;
Suggest further exploration;
MIMOD project - Mixed-Mode Designs in Social Surveys
Rome, April 2019

3. Criteria – survey perspective
Burden: The survey topic(s) are burdensome for a respondent (time or cognitive effort);
Centrality: The survey topic(s) are non-central to respondents;
Non-survey type: The survey topic(s) do not lend themselves to a survey question-answer approach to begin with;
Burden
Centrality
Non-survey type
LFS ×
EU-SILC
EHIS
AES
(×)
ICT
HBS
HETUS
MIMOD project - Mixed-Mode Designs in Social Surveys
Rome, April 2019

4. Criteria – sensor perspective and respondent perspective
Omnipresence: The sensor(s) are available in most, if not all, contemporary devices;
Data access: Data generated by the sensor(s), as well as metadata about the properties and accuracy of the sensor data, can be accessed and processed;
Quality: The sensor data is comparable, reproducible and accurate;
Costs: Any costs associated with the sensor(s) are affordable in most surveys;
Respondent perspective
Respondent willingness: Respondents are willing to consent to provide the sensor data;
Data handling: Respondents can retrieve, revise and delete sensor data on demand;
Burden: Respondents are willing to devote the effort needed to collect and handle the sensor data;
Feedback: Respondents may retrieve useful knowledge about themselves;
MIMOD project - Mixed-Mode Designs in Social Surveys
Rome, April 2019

5. Potential survey – sensor combinations
Sensor measurements are initiated by respondent
Sensors
LFS
Time-location, mobile device use
EU-SILC
Camera, microphone, time-location, mobile device use
EHIS
Time-location, motion, heart rate, wearables, camera
ICT
Mobile device use, mobile device properties
HBS
Time-location, camera, mobile device use
HETUS
Time-location, motion, mobile device use, NFC, Bluetooth, wearables
Sensor measurements exist as external (big) data
Sensor data
LFS
Social media data, Mobile phone provider data, Internet provider data
EU-SILC
Social media data, Mobile phone provider data, Internet provider data, Smart energy use meters data (electricity, water)
EHIS
Wearable sensor data
ICT
HBS
Scanner data from shops, Bank transaction data, Loyalty card data
HETUS
MIMOD project - Mixed-Mode Designs in Social Surveys
Rome, April 2019

6. Sensor criteria for self-initiated measurements
Survey
Sensor
Omnipresence
Data access
Quality
Costs
LFS
Location ۷
Device use
EU-SILC
Camera
Microphone
EHIS
Motion
Heart rate
Wearables
(۷)
ICT
Device properties
HBS
HETUS
NFC
Beacons
MIMOD project - Mixed-Mode Designs in Social Surveys
Rome, April 2019

7. Respondent criteria for self-initiated measurements
Survey
Sensor
Willingness
Data handling
Burden
Feedback
LFS
Location ۷
Device use ?
EU-SILC
Camera
Microphone
EHIS
Motion
Heart rate
Wearables
ICT
Device properties
HBS
HETUS
NFC
Beacons
MIMOD project - Mixed-Mode Designs in Social Surveys
Rome, April 2019

8. Sensor criteria for existing measurements
Survey
Sensor data
Omnipresence
Data access
Quality
Costs
LFS
Social media ۷ ?
Mobile provider
Internet provider
EU-SILC
Energy meters
EHIS
Wearables
ICT
HBS
Scanner data
Bank transactions
Loyalty card
HETUS
MIMOD project - Mixed-Mode Designs in Social Surveys
Rome, April 2019

9. Respondent criteria for existing measurements
Survey
Sensor data
Willingness
Data handling
Burden
Feedback
LFS
Social media ? ۷
Mobile provider
Internet provider
EU-SILC
Energy meters
EHIS
Wearables
ICT
HBS
Scanner data
Bank transactions
Loyalty card
HETUS
MIMOD project - Mixed-Mode Designs in Social Surveys
Rome, April 2019

10. Conclusions & future Conclusions:
For most of the ESS surveys, there are promising survey-sensor combinations;
Literature and application in official statistics still very thin;
Sensor and respondent criteria can be hard to assess without further empirical evidence;
Future:
Extend and refine assessment of criteria;
Test and pilot most promising options (academic research already on-going);
Coordinate efforts with ESSnet Big Data 2;
MIMOD project - Mixed-Mode Designs in Social Surveys
Rome, April 2019