AutoMan: a platform for integrating human-based and digital computation
By Daniel W. Barowy, Charlie Curtsinger, Emery D. Berger, Andrew McGregor. 2012
142 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Computer Science Applications
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Adam Marcus
- Aditya G. Parameswaran
- Yuji Roh
- Steven Euijong Whang
- Geon Heo
- Hector Garcia-Molina
- Manas R. Joglekar
- Vasilis Verroios
In Computer Science Applications
- Adam Marcus
- Aditya G. Parameswaran
- Hector Garcia-Molina
- Manas R. Joglekar
- Geon Heo
- Vasilis Verroios
- Yuji Roh
- Steven Euijong Whang
Citations in the corpus
- A Survey on Data Collection for Machine Learning: A Big Data - AI Integration Perspective (2018, background): “Data generation Crowdsourcing Gathering [45], [46], [47], [48], [49], [50], [51], [52], [53], [54] Processing [49], [50], [55], [56]”
- Crowdsourced Data Management: Industry and Academic Perspectives (2015, background): “At a higher level of abstraction, toolkits such as CrowdForge [116] and Jabberwocky [22], and Automan [32] help specify crowdsourced workflows.”
- Challenges in Data Crowdsourcing (2016, background): “There are a variety of systems that provide procedural mechanisms to decompose a problem into tasks issued by humans, including Turkit [30], Automan [12], Dog [7].”
- A survey of the use of crowdsourcing in software engineering (2017, unknown): “AutoMan [150] was designed to help programmers focus on their programming logic while utilising human computation to solve tasks that are difficult for computers.”