Experience in Deploying Wearable Devices for Office Analytics

This talk reports our experience with a relatively large deployment of wearable devices in an architecture company in London for office analytics purposes.

Presented at the 1st International Workshop on Quantified Workplace in conjunction with CSCW 2016.
https://app.quantified-workplace.com:9004/Web/qw-16/

Transcript

1. Experience in Deploying Wearable Devices for Office Analytics Alessandro Montanari, Sarfraz Nawaz, Cecilia Mascolo {name.surname}@cl.cam.ac.uk Kerstin Sailer k.sailer@ucl.ac.uk
2. What is office analytics? Sensing Analysis Action
3. Informal team communication is synonymous of performance and efficiency
4. Shared spaces and the location of good coffee encourages inter-group mixing and innovation
5. People forget and give socially desirable answers
6. Observations are not cost effective and do not scale
7. Our Vision Take advantage of existing wearable devices Benefits • Always with the user • Familiarity with devices • More privacy control
8. Wearable Platform Device • Bluetooth Low Energy • 3-Axis accelerometer • Vibrator motor • SD card for data recording Data Collection • Fine grained proximity between people • Desk level localisation • Motion status (walking or no-movement) Electronics in 3D printed box
9. Deployment Ground Floor Basement Location • Spacelab Ltd. (London) • 17 static beacons for localisation • 2 smartphones as base stations • Charging station for devices Participants • 25 people recruited for 4 weeks • Mainly architects and designers • Dynamic working style (hot desks) • Big-5 personality test at the end
10. Ground Floor
11. Basement
12. Challenges Wearability • Small and discreet device • Limited battery size • 20 hours battery life 40 mm 30 mm 15 mm
13. Challenges Timekeeping • Device’s internal clock with 250ms resolution • Synchronisation beacons twice a day and in case of reset • BLE Advertisement Packets - No need for connection • Compensate for drifts in post-processing Time? 2016-02-20 16:43:15 Reset Time? 2016-02-20 16:43:15
14. Challenges Device Maintenance • Diagnostic bits included in BLE Advertisement Packets • Timekeeping problems trigger a synchronisation beacon • SD Card problems trigger a remote reset SD Card Problem Reset! SD Card Problem Got it!
15. Participants’ Feedback Deployment Reception • Deployment well received in general • Critics about length of study • Preference for shorter duration • Online survey (16 participants) • In-person interviews (7 participants) P7: “People are busy, in and out of the office, have lots to do... Don’t always remember to pick it up because you are busy” P3: “Maybe some incentive during the deployment would be better, something to keep the interest high.”
16. Participants’ Feedback Device Reception • Device not perceived as completely comfortable • 3D printed box not reliable • Absence of status LED confused participants • Participants not bothered by the need to recharge the device “The device was comfortable to wear all day” from 1 (Strongly Disagree) to 5 (Strongly Agree) µ = 3.13 = 0.96
17. Participants’ Feedback Privacy Concerns • Participants overall not concerned with the data collection • One participant concerned with activity detection • One participant concerned with location detection “I am concerned that the device can threaten my privacy’’ from 1 (Strongly Disagree) to 5 (Strongly Agree) µ = 2.06 = 1
18. Conclusions What we’ve done • Sensing platform based on BLE • Participants’ feedback to improve next deployments What we’ll do • Explore social dynamics inside the office • Study how personality affects movements and interactions • Experiment recommendation in real time Sensing Analysis Action
19. Thank you! Alessandro Montanari alessandro.montanari@cl.cam.ac.uk http://www.cl.cam.ac.uk/~am2266/