PokeME
| Autor: | Thivya Kandappu, Abhinav Mehrotra, Archan Misra, Mirco Musolesi, Shih-Fen Cheng, Lakmal Meegahapola |
|---|---|
| Přispěvatelé: | Kandappu T., Mehrotra A., Misra A., Musolesi M., Cheng S.-F., Meegahapola L. |
| Rok vydání: | 2020 |
| Předmět: |
intervention techniques
intelligent notification systems Computer science Mechanism (biology) 05 social sciences Context (language use) mobile crowd-sourcing notifications 02 engineering and technology smartphone Task (project management) Human–computer interaction Crowd sourcing Intervention technique 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing 0501 psychology and cognitive sciences 050107 human factors engagement |
| Zdroj: | CHIIR |
| DOI: | 10.1145/3343413.3377965 |
| Popis: | In mobile crowd-sourcing systems, simply relying on people to opportunistically select and perform tasks typically leads to drawbacks such as low task acceptance/completion rates and undesirable spatial skews. In this paper, we utilize data from TASKer, a campus-based mobile crowd-sourcing platform, to empirically study and discover whether and how various context-aware notification strategies can help overcome such drawbacks. We first study worker interactions, in the absence of any notifications, to discover some spatio-temporal properties of task acceptance and completion. Based on these insights, we then experimentally demonstrate the effectiveness of two novel, non-personal, context-driven notification strategies, comparing the outcomes to two different baselines (no-notification and random-notification). Finally, using the data from the random-notification mechanism, we derive a classification model, incorporating several novel contextual features, that can predict a worker's responsiveness to notifications with high accuracy. Our work extends the crowd-sourcing literature by emphasizing the power of smart notifications for greater worker engagement. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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