Enterprise crowd computing for human aided chatbots

A 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 trai...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:2018 IEEE ACM 1st International Workshop on Software Engineering for Cognitive Services (SE4COG) S. 29 - 30
1. Verfasser: Bozzon, Alessandro
Format: Tagungsbericht
Sprache:Englisch
Veröffentlicht: New York, NY, USA ACM 28.05.2018
Schriftenreihe:ACM Conferences
Schlagworte:
Chatbot
Cognitive systems
Computing methodologies > Artificial intelligence > Distributed artificial intelligence > Intelligent agents
Crowd Computing
Crowdsourcing
Facebook
Human Aided Chatbots
Information systems > World Wide Web > Web applications > Crowdsourcing
Information systems > World Wide Web > Web applications > Internet communications tools > Chat
Privacy
Task analysis
Training
chatbot
human aided chatbots
crowd computing
ISBN:9781450357401, 1450357407
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung:A 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 recent findings in the field of Enterprise Crowd Computing, and introduce ECrowd, a platform for enterprise crowd computing designed for gathering training data for cognitive systems.
ISBN:9781450357401
1450357407
DOI:10.1145/3195555.3195566