Name
Abstract | ||
|---|---|---|
Online bots are quickly becoming important collaborators with humans in tackling issues in healthcare, politics, and even activism. Recently, non-profits have used many bots in place of their human members to scaffold collaborations with citizens. However, this shift invites new challenges: it is difficult for outsiders to understand the joint effort that bots have now initiated with humans, limiting the goals reached collectively. To help non-profits coordinate the volunteers recruited by online bots, we propose BotViz. BotViz is a new online platform that via data visualizations provides outsiders a clear understanding of the interactions of bots with volunteers. Our data visualization presents two benefits related to traditional interfaces: 1) Diversity, wherein people can understand the diversity of the volunteers, especially their unique strengths; 2) Stalling, wherein people who may be delaying the collective effort triggered by bots can be easily identified by volunteers. Together, our data vi-sualizations point to a future where humans and online bots can better collaborate in order to have large scale impact.
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Year | Venue | Field |
|---|---|---|
2016 | CSCW Companion | World Wide Web,Data visualization,Social media,Computer science,Crowdsourcing,Human–computer interaction,Limiting |
DocType | ISBN | Citations |
Conference | 978-1-4503-3950-6 | 1 |
PageRank | References | Authors |
0.35 | 3 | 11 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Carlos Toxtli | 1 | 24 | 4.68 |
| Claudia Flores-Saviaga | 2 | 5 | 0.83 |
| Flor Aguilar | 3 | 1 | 0.35 |
| Alejandra Monroy | 4 | 1 | 0.35 |
| Juan Flores | 5 | 1 | 0.35 |
| Jeerel Herrejón | 6 | 1 | 0.35 |
| Norma Elva Chávez | 7 | 14 | 2.48 |
| William Dai | 8 | 27 | 2.34 |
| Needa Almani | 9 | 1 | 0.35 |
| Shloka Desai | 10 | 4 | 0.76 |
| Saiph Savage | 11 | 104 | 16.32 |