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10.1371/journal.pone.0134978 http://scihub22266oqcxt.onion/10.1371/journal.pone.0134978 C4575153!4575153 !26383029     free     free     free Deprecated: Implicit conversion from float 215.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 215.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 215.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Warning: imagejpeg(C:\Inetpub\vhosts\kidney.de\httpdocs\phplern\26383029 .jpg): Failed to open stream: No such file or directory in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 117       PLoS+One 2015 ; 10 (9 ): e0134978 Nephropedia Template TP {{tp|p=26383029 |t=2015. Lessons Learned from Crowdsourcing Complex Engineering Tasks |pdf=|usr=}}{{26383029 }} gab.com Text Lessons Learned from Crowdsourcing Complex Engineering Tasks JO: PLoS One http://www.kidney.de/pget.php?&tw=1&pmid=26383029 #FOAvip CROWDSOURCING: Crowdsourcing is the practice of obtaining needed ideas, services, or content by requesting contributions from a large group of people. Amazon Mechanical Turk is a web marketplace for crowdsourcing microtasks, such as answering surveys and image tagging. We explored the limits of crowdsourcing by using Mechanical Turk for a more complicated task: analysis and creation of wind simulations. HARNESSING CROWDWORKERS FOR ENGINEERING: Our investigation examined the feasibility of using crowdsourcing for complex, highly technical tasks. This was done to determine if the benefits of crowdsourcing could be harnessed to accurately and effectively contribute to solving complex real world engineering problems. Of course, untrained crowds cannot be used as a mere substitute for trained expertise. Rather, we sought to understand how crowd workers can be used as a large pool of labor for a preliminary analysis of complex data. VIRTUAL WIND TUNNEL: We compared the skill of the anonymous crowd workers from Amazon Mechanical Turk with that of civil engineering graduate students, making a first pass at analyzing wind simulation data. For the first phase, we posted analysis questions to Amazon crowd workers and to two groups of civil engineering graduate students. A second phase of our experiment instructed crowd workers and students to create simulations on our Virtual Wind Tunnel website to solve a more complex task. CONCLUSIONS: With a sufficiently comprehensive tutorial and compensation similar to typical crowd-sourcing wages, we were able to enlist crowd workers to effectively complete longer, more complex tasks with competence comparable to that of graduate students with more comprehensive, expert-level knowledge. Furthermore, more complex tasks require increased communication with the workers. As tasks become more complex, the employment relationship begins to become more akin to outsourcing than crowdsourcing. Through this investigation, we were able to stretch and explore the limits of crowdsourcing as a tool for solving complex problems. Twit Text FOAVip Lessons Learned from Crowdsourcing Complex Engineering Tasks ????PLoS One http://www.kidney.de/pget.php?&tw=1&pmid=26383029 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=26383029 #FOAvip English Wikipedia <ref>{{Cite pmid|26383029 }}</ref> Lessons Learned from Crowdsourcing Complex Engineering Tasks #MMPMID26383029 Staffelbach M ; Sempolinski P ; Kijewski-Correa T ; Thain D ; Wei D ; Kareem A ; Madey G PLoS One 2015[]; 10 (9 ): e0134978 PMID26383029 show ga CROWDSOURCING: Crowdsourcing is the practice of obtaining needed ideas, services, or content by requesting contributions from a large group of people. Amazon Mechanical Turk is a web marketplace for crowdsourcing microtasks, such as answering surveys and image tagging. We explored the limits of crowdsourcing by using Mechanical Turk for a more complicated task: analysis and creation of wind simulations. HARNESSING CROWDWORKERS FOR ENGINEERING: Our investigation examined the feasibility of using crowdsourcing for complex, highly technical tasks. This was done to determine if the benefits of crowdsourcing could be harnessed to accurately and effectively contribute to solving complex real world engineering problems. Of course, untrained crowds cannot be used as a mere substitute for trained expertise. Rather, we sought to understand how crowd workers can be used as a large pool of labor for a preliminary analysis of complex data. VIRTUAL WIND TUNNEL: We compared the skill of the anonymous crowd workers from Amazon Mechanical Turk with that of civil engineering graduate students, making a first pass at analyzing wind simulation data. For the first phase, we posted analysis questions to Amazon crowd workers and to two groups of civil engineering graduate students. A second phase of our experiment instructed crowd workers and students to create simulations on our Virtual Wind Tunnel website to solve a more complex task. CONCLUSIONS: With a sufficiently comprehensive tutorial and compensation similar to typical crowd-sourcing wages, we were able to enlist crowd workers to effectively complete longer, more complex tasks with competence comparable to that of graduate students with more comprehensive, expert-level knowledge. Furthermore, more complex tasks require increased communication with the workers. As tasks become more complex, the employment relationship begins to become more akin to outsourcing than crowdsourcing. Through this investigation, we were able to stretch and explore the limits of crowdsourcing as a tool for solving complex problems. |*Aptitude [MESH] |*Crowdsourcing [MESH] |*Engineering [MESH] |*Problem Solving [MESH] |Adult [MESH] |Computer Simulation [MESH] |Female [MESH] |Humans [MESH] |Male [MESH]Lessons Learned from Crowdsourcing Complex Engineering Tasks (epmc).pdf DeepDyve Pubget Overpricing