Enterprise Crowd Computing for Human Aided Chatbots

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chatbot is an example of cognitive computing system that emulates human conversations to provide informational, transactional,
and conversational services. Despite their widespread adoption, chatbots still suffer from a number of performance issue due to limitations with their programming and training. In this paper we discuss Human Aided Chatbots, i.e. chatbots that rely on humans in the loop to operate. Human Aided Chatbots exploit human intelligence, brought for instance by crowd workers or full-time employees, to fill the gaps caused by limitations of fully automated solutions. A recent example of Human Aided Chatbots is Facebook M. To achieve broader adoption, Human Aided Chatbots must overcome a number of issues, including scalability, low-latency, and privacy. In this short paper, we discuss how Crowd Computing performed in the enterprise could help overcoming such issues. We present some recentfi ndings in thefi eld of Enterprise Crowd Computing, and introduce ECrowd, a platform for enterprise crowd computing
designed for gathering training data for cognitive systems.
Original languageEnglish
Title of host publicationProceedings of the 1st International Workshop on Software Engineering for Cognitive Services
Place of PublicationNew York, NY
PublisherAssociation for Computing Machinery (ACM)
Number of pages2
ISBN (Electronic)978-1-4503-5740-1
Publication statusPublished - 2018
EventSE4COG 2018: 1st International Workshop on Software Engineering for Cognitive Services - Gothenburg, Sweden
Duration: 28 May 201829 May 2018
Conference number: 1


WorkshopSE4COG 2018
Abbreviated titleSe4COG'18

Bibliographical note

Accepted author manuscript


  • Crowd Computing
  • Chatbot
  • Human Aided Chatbots


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