Training and Events
Using smartphone sensors, apps and wearables in Social Science Research
|NCRM, University of Southampton|
Professor Bella Struminskaya and Professor Florian Keusch
19/03/2020 - 20/03/2020
Old Building, London School of Economics, Houghton Street, London
View in Google Maps (WC2A 2AE)
Smartphone sensors (e.g., GPS, camera, accelerometer), apps, and wearables (e.g., smartwatches, fitness bracelets) allow researchers to collect rich behavioral data, potentially with less measurement error and lower respondent burden than self-reports through surveys. Passive mobile data collection (e.g., location tracking, call logs, browsing history) and respondents performing additional tasks on smartphones (e.g., taking pictures, scanning receipts) can augment or replace self-reports in surveys. However, there are multiple challenges to collecting these data: participant selectivity, (non)willingness to provide sensor data or perform additional tasks, privacy concerns and ethical issues, quality and usefulness of the data, and practical issues of implementation. This course will address the challenges by reviewing state-of-the-art practices of smartphone sensor, app, and wearables data collection, ranging from small-scale studies of hard-to-reach populations to large-scale studies to produce official statistics, and discuss design best-practices for this type of measurement. Recommendations provided will include:
• What research questions can be answered using smartphone sensors, apps, and wearables?
• What are participants’ concerns and how to address them?
• How to ask for consent for sensor measurements and ensure participation?
• How to ease into sensor data analysis?
As part of this course, participants will have the chance to work on practical issues of implementing smartphone sensors, apps, and wearables into social science research. Participants will discuss their own research study designs using new technology and have the opportunity to get hands-on practice with data from health, accelerometery, and location sensors. The course will not discuss how to collect and analyse “found” data (e.g., social media data) nor demonstrate how to program smartphone sensor apps.
The course covers:
By the end of the course participants will:
Participants will perform basic analysis of sensor-collected data using software that they are most comfortable with (SPSS, R, Stata, MS Excel etc.). R syntax will be provided, which can be modified to SPSS or Stata syntax if R is not used. No prior knowledge of smartphone sensors, wearables, and apps is required, but a basic understanding of survey practice and survey errors is helpful. Basic data analysis skills are beneficial.
The course is intended for survey practitioners, researchers, and students who want a practical introduction to smartphone sensors, wearables and app-based research.
Participants should bring their smartphones and laptops and any wearables (e.g., fitness bracelets, smartwatches) if available.
Entry (no or almost no prior knowledge)
The fee per teaching day is:
Website and registration
Survey Research, Survey and Questionnaire Design, Data Collection (other), Measurement Error, Nonresponse , Sensors and wearables
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