Abstract
We consider the challenge of motivating and coordinating large numbers of people to contribute to solving local, communal problems through their existing routines. In order to design such "on-the-go crowdsourcing" systems, there is a need for mechanisms that can effectively coordinate contributions to address problem solving needs in the physical world while leveraging people's existing mobility with minimal disruption. We thus introduce Hit-or-Wait, a general decision-theoretic mechanism that intelligently controls decisions over when to notify a person of a task, in ways that reason both about system needs across tasks and about a helper's changing patterns of mobility. Through simulations and a field study in the context of community-based lost-and-found, we demonstrate that using Hit-or-Wait enables a system to make efficient use of people's contributions with minimal disruptions to their routines without the need for explicit coordination. Interviews with field study participants further suggest that highlighting an individual's contribution to the global goal may help people value their contributions more.
Original language | English (US) |
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Title of host publication | CHI 2018 - Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems |
Subtitle of host publication | Engage with CHI |
Publisher | Association for Computing Machinery |
ISBN (Electronic) | 9781450356206, 9781450356213 |
DOIs | |
State | Published - Apr 20 2018 |
Event | 2018 CHI Conference on Human Factors in Computing Systems, CHI 2018 - Montreal, Canada Duration: Apr 21 2018 → Apr 26 2018 |
Publication series
Name | Conference on Human Factors in Computing Systems - Proceedings |
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Volume | 2018-April |
Other
Other | 2018 CHI Conference on Human Factors in Computing Systems, CHI 2018 |
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Country/Territory | Canada |
City | Montreal |
Period | 4/21/18 → 4/26/18 |
Funding
We thank members of the Design, Technology, and Research program and the Delta Lab for their valuable feedback and helpful discussions. We thank Kotaro Hara for helping with collecting road segment data from OpenStreetMap dataset. This work was funded by the National Science Foundation under Grant No. 1618096.
Keywords
- Decision theory
- Mobile crowdsourcing
- Physical crowdsourcing
ASJC Scopus subject areas
- Software
- Human-Computer Interaction
- Computer Graphics and Computer-Aided Design