Proposal and Initial Study for Animal Crowdsourcing
نویسندگان
چکیده
We focus on animals as a resource of processing capability in crowdsourcing and propose an Animal Crowdsourcing (we call it "Animal Cloud”, too) that resolves problems with cooperation between computers and human or animals. This paper gives an overview of Animal Crowdsourcing and reports on the interim results of our learning experiments using rats (Long-Evans rats) to verify the feasibility of Animal Crowdsourcing.
منابع مشابه
Perform Three Data Mining Tasks with Crowdsourcing Process
For data mining studies, because of the complexity of doing feature selection process in tasks by hand, we need to send some of labeling to the workers with crowdsourcing activities. The process of outsourcing data mining tasks to users is often handled by software systems without enough knowledge of the age or geography of the users' residence. Uncertainty about the performance of virtual user...
متن کاملInitial Steps to Achieve a Disaster-related Statistics Framework in Iran: An Executive Proposal
N/A
متن کاملTowards Adaptive Crowdsourcing for Complex Decisions
Complex decisions – such as a city development project proposal, launch of a new product or a bid for a major outsourcing contract – necessarily rely on and impact large networks of humans. Such decisions endure in dynamic and multifaceted settings, and may reshape over time. In this position paper we examine crowd’s role in sensing, responding to, and solving elements of complex decision proce...
متن کاملUnderstanding Continued Use of Crowdsourcing Systems: An Interpretive Study
Crowdsourcing as a model for distributed problem solving has been rapidly gaining in popularity. In investigating what drives the solvers to participate in crowdsourcing, the extant research has one-dimensionally only viewed the origins of motivation. While these studies have revealed that crowdsourcing systems’ use is driven by both intrinsic and extrinsic motivations, they fall short of expla...
متن کاملAn Improved Crowdsourcing Based Evaluation Technique for Word Embedding Methods
In this proposal track paper, we have presented a crowdsourcing-based word embedding evaluation technique that will be more reliable and linguistically justified. The method is designed for intrinsic evaluation and extends the approach proposed in (Schnabel et al., 2015). Our improved evaluation technique captures word relatedness based on the word context.
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2014