BEYOND STEPS Leveraging wearable interaction models for more effective health products Susan Holcomb, Head of Data @ Pebble holcombdata@gmail.com

About Pebble • 2012: Record-breaking $10MM Kickstarter campaign

• First use cases: • Notifications, Apps, Telling the time!

Pebble Health • Activity tracking: now table stakes for wearables

• Pebble Health features… •  Step- and sleep-tracking •  Activity classifications •  Personalized feedback •  Smart alarm •  Calendar integration (workout scheduling) •  Heart rate sensor (coming Q4 2016)

Behavior change New sensors & passive data collection enable a lot of cool experiences…

…but what encourages healthier behaviors?

UbiFit Garden Experiment1

• Goal: Reduce sedentary time

• What’s more important… • Passive data collection?

• Or ambient feedback?

• Ambient feedback = visualization of progress that user can see at a glance (no need to open an app)

UbiFit Garden Experiment • Result: Ambient feedback made the difference

• Without glanceable display: Average Activity Duration decreased over time

• With glanceable display: Average Activity Duration was maintained

•  Interaction model is key to encouraging sustainable behavioral change

Engagement on wearables • Wearables can take better advantage of this interaction model

• What we can’t do with sensors, we can make up for via user engagement • What if we just ask users for the data we want?

The Happiness App: Overview • One-week program for mood tracking • Prompt user to rate mood & energy

•  Plus: where they are, who they’re with, what they’re doing •  Customize w/ voice input through microphone!

• End of week: email report w/ personalized analysis

The Happiness App: Feedback “One of the best uses of my pebble. Being on my wrist the hourly buzz I responded to, unlike many things like phone apps.” “I absolutely love the app and my counselor thought it was a great idea!” “App design and functionality were everything I had hoped to build myself, you guys knocked it out of the park” “Excited to the see the results, tracking my mood actually helped to make me feel more "present.”

The Happiness App: Findings • Users report two-fold benefits:

•  Insights from summary report data •  Increased mindfulness from mood & energy check-ins

• But don’t ditch the sensors: future plans to integrate results with activity & sleep data

• We can validate a variety of research with the snap of our fingers

The Happiness App: Aggregated Data3

• Research says: 7pm is the happiest hour of the day4

• Pebble data: peak in mood at 7pm

* See full results on medium.com/pebble-research

The Happiness App: Aggregated Data • Research says: good relationships, sociability increase

happiness5

• Pebble data: best mood scores w/ friends, at social events

The Happiness App: Aggregated Data • Research says: alcohol has short-term positive impact on

mood6

• Pebble data: alcohol aligns with euphoria (in the moment)—but don’t forget about yoga, exercise, and socializing!

The Happiness App: Aggregated Data • Research says: Energy peaks in late morning, declines

with an afternoon slump7,8

• Pebble data: high in morning, declines 12-5pm, boosts @ 7pm (possibly thanks to the happiness peak)

The Happiness App: Aggregated Data • Also apparent: positive impact of yoga & exercise on

energy levels

Future development • Building off the happiness app: same functionality, more

use cases •  Be more active, manage anxiety, quit smoking, improve

sleep, run a marathon…. • Collaborating with Mobilize Research Center @ Stanford

•  Aggregated data suggests power of research at scale • Published step- and sleep-tracking algorithms

• Data questions? Contact: holcombdata@gmail.com

Purchase History (watch faces, etc)

Device Usage Data

Companion App Usage Data

Website App Data

•  Lack of visibility into core KPIs (e.g. How many users turned on their pebble watch today?)

•  Product Management, Data Science, and BizOps teams couldn’t get raw data from legacy systems

•  No engineers to support growing data science team •  No bandwidth to setup or maintain analytics infrastructure

Pains Benefits •  Both historical and streaming data centralized to

Treasure Data in just 15 days •  Fast, direct access to data for all non-technical

users in the company •  No engineering overhead (even with exponential

growth in data volumes)

Oct 6th

References 1 Consolvo S, et al. Flowers or a Robot Army? Encouraging Awareness & Activity with Personal, Mobile Displays. Proceedings of the 10th international conference on Ubiquitous computing, 54-63. 2008. 2 Legere, John (JohnLegere), “This app might break”, 9 June 2016, 7:19am. 3 Shapiro, H. The Secret to Happiness. Pebble Research Blog. 2016. 4 Guillaume E, Baranski E, et al. The World at 7:00: Comparing the Experience of Situations Across 20 Countries. Journal of Personality. 2016. 5 Diener E, Seligmen M. Very Happy People. Psychological Science. 2002. 6 Geiger B, MacKerron G. Can alcohol make you happy? A subjective wellbeing approach. Social Science & Medicine. 2016. 7 Matchock R, Mordkoff J. Chronotype and time-of-day influences on the alerting, orienting, and executive components of attention. Experimental Brain Research. 2009. 8 Shellenbarger S. The Peak Time for Everything. Wall Street Journal. 2012.