Name
Abstract | ||
|---|---|---|
Automated text-based or speech-based personal assistants, also known as chatbots, have been prevalent in several domains including marketing and technical support. Through mainstream applications, such as Siri or Alexa, their popularity has increased and we now see them being used in even more domains. Although the purpose of chatbots varies among domains, there are common elements that all chatbots share. By identifying these elements, it is possible to streamline the development of chatbots en masse and in a structured manner. Additionally, there can be common challenges in the development of such applications, for example, how to treat novice versus expert users or how to establish memory of the conversation. In this work, we propose a reference architecture for chatbots using concepts from Software Product Lines and Feature Models, where we outline the common elements as well as the common challenges. Using Watson and Bluemix as the basic platforms, we also present the creation of two chatbots, for different purposes, based on this reference architecture to highlight these commonalities. |
Year | Venue | Field |
|---|---|---|
2017 | CASCON | World Wide Web,Conversation,Computer science,Popularity,Architecture framework,Software,Artificial intelligence,Reference architecture,Technical support,Watson,Mainstream,Machine learning |
DocType | Citations | PageRank |
Conference | 1 | 0.35 |
References | Authors | |
10 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Adam Di Prospero | 1 | 1 | 0.35 |
| Nojan Norouzi | 2 | 1 | 0.35 |
| Marios Fokaefs | 3 | 231 | 18.28 |
| Marin Litoiu | 4 | 2147 | 128.80 |