Using smartwatch-based
body sensors to measure creativity andperformance in COINs
Marius Stein and Peter Gloor
We introduce a novel device based on commercially available smartwatches tomeasure happiness of the wearer. Through individual energy measured by theaccelerometer, heart rate measured by a heartrate sensor, light level, and location
tracked by the GPS of the attached smartphone, we are able to predict individualmood (Gloor 2017). We conducted an experiment at a design sprint workshop
over three days. Twenty-five people volunteered to participate, fifteen of thosewere equipped with our smartwatch based body sensor, the remaining ten persons
acted as control group without body sensing device. Besides collecting heart rate,
acceleration data, light level and location as well as mood state and mental
activation from the fifth teen people with our body sensors, we asked every
participant to fill out a survey at the end of each day to assess their individual
creativity and performance and participate in a Neo-FFI personality test (Costa, P.
T., & McCrae, R. R. 1992).
For activation and mood state the participants were polled around 8 times per day,immediately after each phase of the workshop. For creativity and performance, theparticipants were asked to fill out a survey at the end of each day. All otherbody signals were measured automatically in 15 minute intervals.
During the experiment, we were able to collect around 2600 tuples of bodysignals, 370 samples of the mood state and mental activation and 53 answeredsurveys.
The goal of our research is to identify factors that influence creativity,
productivity, activation and mood states in order to empower COINs tocollaborate more effectively. Examining the relationship between creativity as
dependent variable and activation and happiness as independent variables, wefound that high values of activation correlate negatively with the perceived
creativity of individuals. Additionally, choosing productivity as our dependent
variable we found that activation also correlates negatively with productivity.
Both regressions were significant at the 5 percent level. Happiness itself seems tohave no significant influence on creativity or performance. With the collected
data, we expect to find more predictors for creativity and performance whenanalysing the body signals of the participants. Moreover, through the results of thepersonality test we try to identify which personality traits influence creativity andperformance. Table 1 summarizes our preliminary findings.

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Table 1. Table captions have no end punctuation and no period after the table number
Creativity

Productivity

Activation-2,038842121*-2,078490304*

Happiness-0,142474611300812-0,656881225

Days of treatment

0,151651808

0,14619282

Constant

5,59530901868954**

6,716188349**

N2121* Significant at 5 percent level; ** Significant at 1 percent level

We will also introduce results of a second experiment, where fifteen conference
participants were wearing the happimeter smartwatch during a one-day conferencein Poland with 650 participants. We will correlate the satisfaction of theparticipants based on a survey with their happiness measured through thehappimeter.

References
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Costa, P. T., & McCrae, R. R. (1992). Normal personality assessment in clinical practice:
The NEO Personality Inventory. Psychological assessment, 4(1), 5.
Gloor, P. (2017) Consistent Excitement Correlates with Happiness - Predicting MoodThrough Body Sensing with Smartwatches ICKN White Paper, January 2017s