Abstract
Participatory data collection relies on the commitment
of the participants to report data continuously, which
makes providing incentives to people crucial. In this
case study, we describe how we designed a web app by
using different incentive mechanisms to collect
participatory data for monitoring community health.
The insights we gathered through evaluating the
prototype in focus groups and the lessons we learned
about sustaining motivation and interest are discussed
in the paper. We expect that these lessons would be
useful for other participatory sensing projects that aim
for constant and systematic data contribution from a
large group of people.
of the participants to report data continuously, which
makes providing incentives to people crucial. In this
case study, we describe how we designed a web app by
using different incentive mechanisms to collect
participatory data for monitoring community health.
The insights we gathered through evaluating the
prototype in focus groups and the lessons we learned
about sustaining motivation and interest are discussed
in the paper. We expect that these lessons would be
useful for other participatory sensing projects that aim
for constant and systematic data contribution from a
large group of people.
Original language | English |
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Title of host publication | Proceedings of the 2016 CHI Conference Extended Abstracts on Human Factors in Computing Systems |
Place of Publication | New York |
Publisher | Association for Computing Machinery |
Pages | 889-898 |
Number of pages | 10 |
ISBN (Print) | 9781450340823 |
DOIs | |
Publication status | Published - 2016 |
Event | 2016 CHI Conference Extended Abstracts on Human Factors in Computing Systems - San Jose, United States Duration: 7 May 2016 → 12 May 2016 |
Conference
Conference | 2016 CHI Conference Extended Abstracts on Human Factors in Computing Systems |
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Abbreviated title | CHI EA '16 |
Country/Territory | United States |
City | San Jose |
Period | 7/05/16 → 12/05/16 |