Title
ECHO: A Tool for Empirical Evaluation Cloud Chatbots
Abstract
A chatbot is a software that interacts with humans by conducting conversations via textual or auditory methods. Chatbots have recently been used for plethora of applications including travel, medical, education, retail etc. Several cloud-based platforms (e.g. IBM, Amazon, Google, Microsoft) are available for developing and deploying chatbots. However, there is a lack of an evaluation methodology and a tool for evaluating chatbots comprehensively. Current approaches for comparing cloud-based chatbots are manual and rely on expert’s judgement. In this short paper, we propose, devise, implement and demonstrate a tool namely ECHO for empirical evaluation of cloud-based chatbots. ECHO is capable of automatically evaluating multiple cloud-based chatbots and report the outcomes of the comparative evaluation. We validate the efficacy of ECHO by conducting comparative evaluation of 3 popular cloud-based chatbots in 2 different question-answering application scenarios with 3 levels of complexities.
Year
DOI
Venue
2020
10.1109/CCGrid49817.2020.00-26
2020 20th IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing (CCGRID)
Keywords
DocType
ISBN
Chatbots,NLP,Cloud platform,Conversation,Performance Evaluation
Conference
978-1-7281-6095-5
Citations 
PageRank 
References 
0
0.34
0
Authors
4
Name
Order
Citations
PageRank
Forkan, A.R.M.1191.72
Prem Prakash Jayaraman237844.66
Yongbin Kang35510.61
Ahsan Morshed410211.75