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. Author manuscript; available in PMC: 2020 Aug 6.
Published in final edited form as: Proc ACM Hum Comput Interact. 2020 May;4(CSCW1):70. doi: 10.1145/3392882

Table 2.

Overview of study participants.

Family Family Member Age Gender Marital Status Occupation
F1 Father 51–60 Male Married registered nurse
Mother 41–50 Female physical therapist assistant
2 Children 11, 14**

F2 Father 31–40 Male Married game-data analyst
Mother 31–40 Female naturopathic physician
2 Children* 8

F3 Father 31–40 Male Married CEO of tech company
Mother 31–40 Female teacher
2 Children 7, 10

F4 Father 41–50 Male Married Boeing, assembly
Mother 41–50 Female stay-at-home mom
Child 10

F5 Father 31–40 Male Married banking
Mother 31–40 Female research consultant
2 Children 7, 10

F6 Father 41–50 Male Married engineer
Mother 41–50 Female stay-at-home mom
2 Children* 7

F7 Father 51–60 Male Married engineering manager
Mother N/A Female N/A
Child 13***

F8 Father 41–50 Male Married real-estate broker
Mother 41–50 Female office manager bookkeeper
3 Children 8, 10, 12

F9 Father 41–50 Male Married heavy-equipment operator
Mother 31–40 Female elementary instructional coach
4 Children* 7, 11, 12

F10 Father 41–50 Male Married firefighter, RN
Mother 41–50 Female RN
3 Children* 10, 13
*

One child did not participate because he/she was younger than seven years of age.

**

We recruited based on the age of the child who parents self-reported to have poor sleep quality. The second child was older than 12, but we did not want to exclude her from the study.

***

F7 Child turned 13 right after the family started the study.