Abstract
Mobile crowdsourcing markets (e.g., Gigwalk and TaskRabbit) offer crowdworkers tasks situated in the physical world (e.g., checking street signs, running household errands). The geographic nature of these tasks distinguishes these markets from online crowdsourcing markets and raises new, fundamental questions. We carried out a controlled study in the Chicago metropolitan area aimed at addressing two key questions: (1) What geographic factors influence whether a crowdworker will be willing to do a task? (2) What geographic factors influence how much compensation a crowdworker will demand in order to do a task? Quantitative modeling shows that travel distance to the location of the task and the socioeconomic status (SES) of the task area are important factors. Qualitative analysis enriches our modeling, with workers mentioning safety and difficulties getting to a location as key considerations. Our results suggest that low-SES areas are currently less able to take advantage of the benefits of mobile crowdsourcing markets. We discuss the implications of our study for these markets, as well as for "sharing economy" phenomena like UberX, which have many properties in common with mobile crowdsourcing markets.
Original language | English (US) |
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Title of host publication | CSCW 2015 - Proceedings of the 2015 ACM International Conference on Computer-Supported Cooperative Work and Social Computing |
Publisher | Association for Computing Machinery, Inc |
Pages | 265-275 |
Number of pages | 11 |
ISBN (Electronic) | 9781450329224 |
DOIs | |
State | Published - Feb 28 2015 |
Event | 18th ACM International Conference on Computer-Supported Cooperative Work and Social Computing, CSCW 2015 - BC, Canada Duration: Mar 14 2015 → Mar 18 2015 |
Publication series
Name | CSCW 2015 - Proceedings of the 2015 ACM International Conference on Computer-Supported Cooperative Work and Social Computing |
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Other
Other | 18th ACM International Conference on Computer-Supported Cooperative Work and Social Computing, CSCW 2015 |
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Country/Territory | Canada |
City | BC |
Period | 3/14/15 → 3/18/15 |
Bibliographical note
Publisher Copyright:© 2015 ACM.
Keywords
- Mobile crowdsourcing
- Volunteered geographic information