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Using Smartphones to Research Daily Life
Dr. Neal Lathia
Computer Laboratory, University of Cambridge
neal.lathia@cl.cam.a...
“First were mainframes, each shared by
lots of people. Now we are in the
personal computing era, person and
machine starin...
Android: 1.5 million
daily activations
Phone Calls
Text Messages
Social Media
E-mail
Camera
Calendars
Maps
Transport
Games
News
Videos
Phone Calls
Text Messages
Social Media
E-mail
Camera
Calendars
Maps
Transport
Games
News
Music
Videos
Communication
Patter...
Accelerometer
Microphone
Camera
GPS
Compass
Gyroscope
Wi-Fi
Bluetooth
Proximity
NFC
Light
Accelerometer
Microphone
Camera
GPS
Compass
Gyroscope
Wi-Fi
Bluetooth
Proximity
NFC
Light
Activities;
Transportation
Modes...
How can we sense, identify, and
capture high-level behaviours (e.g.,
walking, running) from low-level
sensors (e.g., accel...
How can we verify or understand
qualitative aspects of behaviour that
can be sensed (i.e., the why)?
“Classic” Research Qu...
Experience Sampling
Experience
Sampling
Mood; Location
Semantics
Focus/Engagement;
Transportation
Choices; Physical
Activity; Health;
Reaction...
Researching Daily Life:
Reflecting on the 'scientific' method
Hypothesis
Measure
Test
Tradition...
Hypothesis
Measure
Test
ESM Design
Sensor-ESM studies...
Sensor-Sampling Design
Hypothesis
Measure
Test
ESM Design
Ready for the public...
Sensor-Sampling Design
User Experience
Design
Build App
Test Ap...
Emotion Sense Basics:
(a) Complete a “long”
survey about how you feel
& your current context
(b) Receive notifications
tha...
Emotion Sense Surveys
(momentary)
Positive/Negative Affect
Day “Goodness”
Current Location
Texting/Calling Habits
Current ...
Emotion Sense Sensors
Location
Texting Logs
Call Logs
Accelerometer
Microphone
Screen On/Off Samples
Wi-Fi
Battery Levels
● How can we keep users engaged in a
seemingly repetitive task?
● Surveys are “too long” … “too obtrusive” .. “too
repetit...
A “Non”-Game designed like a game
How many questions to ask...?
When the user is
“volunteering” a
response (10)
vs.
When the user is
responding to a
notific...
Limited feedback – avoiding judging
How are people interacting?
– 12,000 interacting users;
– 650,000+ survey responses
– ~6% answer only 1 survey
– ~800 dail...
angry anxious lonely
relaxedenthusiasticcalm
Emotion Sense: Ongoing Work
– Making sense of noisy sensor data: various
devices, time zones, participation lengths
– Anal...
Easy M:
Can I run a study like
Emotion Sense?
(Without going back to the drawing board)
Generalised sensor-
enhanced exper...
Easy M Basics:
(a) Enter a “participant
code” to join an experiment;
app reconfigures itself (with
timeout)
(b) Receive no...
Easy M Basics:
Allows for both
“momentary” and
“volunteered” survey types.
Questions include all the
same types as Emotion...
Where could Easy M be
used?
Using Smartphones to Research Daily Life
Dr. Neal Lathia
Computer Laboratory, University of Cambridge
neal.lathia@cl.cam.a...
Using Smartphones to Research Daily Life
Using Smartphones to Research Daily Life
Using Smartphones to Research Daily Life
Using Smartphones to Research Daily Life
Using Smartphones to Research Daily Life
Using Smartphones to Research Daily Life
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Transcript of "Using Smartphones to Research Daily Life"

  1. 1. Using Smartphones to Research Daily Life Dr. Neal Lathia Computer Laboratory, University of Cambridge neal.lathia@cl.cam.ac.uk
  2. 2. “First were mainframes, each shared by lots of people. Now we are in the personal computing era, person and machine staring uneasily at each other across the desktop. Next comes ubiquitous computing [...] when technology recedes into the background of our lives.” - Weiser
  3. 3. Android: 1.5 million daily activations
  4. 4. Phone Calls Text Messages Social Media E-mail Camera Calendars Maps Transport Games News Videos
  5. 5. Phone Calls Text Messages Social Media E-mail Camera Calendars Maps Transport Games News Music Videos Communication Patterns; Social Networks and Sharing; Information Diffusion; Points of Interest; Mobility; App Usage ...
  6. 6. Accelerometer Microphone Camera GPS Compass Gyroscope Wi-Fi Bluetooth Proximity NFC Light
  7. 7. Accelerometer Microphone Camera GPS Compass Gyroscope Wi-Fi Bluetooth Proximity NFC Light Activities; Transportation Modes; Co-location; Mobility; Speaker Detection; Speech Inferences; Context Identification
  8. 8. How can we sense, identify, and capture high-level behaviours (e.g., walking, running) from low-level sensors (e.g., accelerometer)? “Classic” Research Question (1): For ever higher level behaviours Given energy, computation constraints
  9. 9. How can we verify or understand qualitative aspects of behaviour that can be sensed (i.e., the why)? “Classic” Research Question (2): Choices, feelings, reasons, semantics (e.g., home vs. lat/lon).
  10. 10. Experience Sampling
  11. 11. Experience Sampling Mood; Location Semantics Focus/Engagement; Transportation Choices; Physical Activity; Health; Reactions to Music
  12. 12. Researching Daily Life: Reflecting on the 'scientific' method
  13. 13. Hypothesis Measure Test Tradition...
  14. 14. Hypothesis Measure Test ESM Design Sensor-ESM studies... Sensor-Sampling Design
  15. 15. Hypothesis Measure Test ESM Design Ready for the public... Sensor-Sampling Design User Experience Design Build App Test App Deploy App Market App Debug App Update App Re-design UX User Support De-noise data
  16. 16. Emotion Sense Basics: (a) Complete a “long” survey about how you feel & your current context (b) Receive notifications that ask you to complete a “short” survey (c) View how your survey responses compare to the sensor data your phone has collected.
  17. 17. Emotion Sense Surveys (momentary) Positive/Negative Affect Day “Goodness” Current Location Texting/Calling Habits Current Activity Device Interaction Recent Speech Personality Sociability Connectedness Engagement (non-momentary) Demographics Satisfaction with Life Personality Gratitude Health Sociability Job Satisfaction Life Aspirations Connectedness
  18. 18. Emotion Sense Sensors Location Texting Logs Call Logs Accelerometer Microphone Screen On/Off Samples Wi-Fi Battery Levels
  19. 19. ● How can we keep users engaged in a seemingly repetitive task? ● Surveys are “too long” … “too obtrusive” .. “too repetitive” ● ESM experiments “don't beneft me” … “too boring” Design Challenges
  20. 20. A “Non”-Game designed like a game
  21. 21. How many questions to ask...? When the user is “volunteering” a response (10) vs. When the user is responding to a notification (3)
  22. 22. Limited feedback – avoiding judging
  23. 23. How are people interacting? – 12,000 interacting users; – 650,000+ survey responses – ~6% answer only 1 survey – ~800 daily user responses – Average of 60+ days responding to surveys per user – ~15% users > 3 months – App demographics ~ published Android user demographics
  24. 24. angry anxious lonely relaxedenthusiasticcalm
  25. 25. Emotion Sense: Ongoing Work – Making sense of noisy sensor data: various devices, time zones, participation lengths – Analysing quality, content of survey responses – Investigating the future of these tools: generalising (for researchers) vs. specialising (for a particular context).
  26. 26. Easy M: Can I run a study like Emotion Sense? (Without going back to the drawing board) Generalised sensor- enhanced experience sampling tool.
  27. 27. Easy M Basics: (a) Enter a “participant code” to join an experiment; app reconfigures itself (with timeout) (b) Receive notifications that ask you to complete your researchers' survey (c) Volunteer additional responses
  28. 28. Easy M Basics: Allows for both “momentary” and “volunteered” survey types. Questions include all the same types as Emotion Sense. User feedback is limited to response time and compliance.
  29. 29. Where could Easy M be used?
  30. 30. Using Smartphones to Research Daily Life Dr. Neal Lathia Computer Laboratory, University of Cambridge neal.lathia@cl.cam.ac.uk http://emotionsense.org/ http://www.cl.cam.ac.uk/~nkl25/easym/
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