Paper Info
Title
Architecture For Automatic Generation Of User Interaction Guides With Intelligent Assistant
Abstract
In recent years, Intelligent Assistant services have come out to respond to user requests or to perform certain functions. These services get the request input from users with natural ways such as voice or text. However, the biggest hurdle of this approach is that it is very difficult for users to know the scope of the service (feature or knowledge) and therefore it is difficult to deliver the right request. If the Intelligent Assistant suggests the proper features based on user's context or preference with users based on the natural language or voices, it could make users be familiar with Intelligent Assistant therefore it could make Intelligent Assistants be very widely used. In this paper, we proposed the architecture to make the user's interaction guide for the Intelligent Assistant. We used the plan recognition of the task network to make the candidates of the actions/answers based on the user's context. After making the candidates we used the filters to filtering the candidates and scored the candidates. Finally, we used the NLG/TTS to make the natural sentences to give the guide to the users. As a result, even without the user's request, we could give the guide utterance to the user.
Year
DOI
Venue
2017
10.1109/WAINA.2017.70
2017 31ST IEEE INTERNATIONAL CONFERENCE ON ADVANCED INFORMATION NETWORKING AND APPLICATIONS WORKSHOPS (IEEE WAINA 2017)
Keywords
Field
DocType
Intelligent Assistant, Plan Recognition, Task Network
Ontology (information science),World Wide Web,Architecture,Computer science,Utterance,Human–computer interaction,Natural language,User modeling,Plan recognition,Semantics
Conference
Citations 
PageRank 
References 
0
0.34
0
Authors
5
Name
Order
Citations
PageRank
In-Chul Hwang16818.21
Jinhe Jung200.34
J. Kim343.46
Youngbin Shin400.34
Jeong-Su Seol500.34