Name
Abstract | ||
|---|---|---|
This paper establishes the power of dynamic collaborative task completion among workers for urban mobile crowd-sourcing. Collaboration is defined via the notion of peer referrals, whereby a worker who has accepted a location-specific task, but is unlikely to visit that location, offloads the task to a willing friend. Such a collaborative framework might be particularly useful for task bundles, especially for bundles that have higher geographic dispersion. The challenge, however, comes from the high similarity observed in the spatio-temporal pattern of task completion among friends. Using extensive real-world crowd-sourcing studies conducted over 7 weeks and 1000+ workers on a campus-based crowd-sourcing platform, we quantify the effect of such \"task completion homophily\", and show that incorporating such peer-preferences can improve worker-specific models of task preferences by over 30%. We then show that such collaborative offloading works in spite of such spatio-temporal similarity, primarily because workers refer tasks to their close friends, who in turn perform such peer-requested tasks (with over 95% completion rate) even if they experience detours that are significantly larger (often more than twice) than what they normally tolerate for platform-recommended tasks. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1145/2998181.2998311 | CSCW |
Keywords | Field | DocType |
crowd-sourcing, collaboration, social-ties, homophily | Completion rate,World Wide Web,Computer science,Homophily,Crowdsourcing,Task completion,Interpersonal ties,Spite | Conference |
Citations | PageRank | References |
0 | 0.34 | 20 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Thivya Kandappu | 1 | 30 | 5.37 |
| Archan Misra | 2 | 1688 | 149.25 |
| Randy Tandriansyah | 3 | 24 | 2.89 |