Design of a Multimodal Input Interface for a Dialogue System

2006 ◽  
pp. 170-179 ◽  
Author(s):  
João P. Neto ◽  
Renato Cassaca ◽  
Márcio Viveiros ◽  
Márcio Mourão
Keyword(s):  
Dialogue System ◽  
Input Interface

Improvement of Determination Algorithm for Eye Glance Input Interface

2014 ◽  
Vol 134 (7) ◽  
pp. 924-930 ◽  
Author(s):  
Yuta Ito ◽  
Naoaki Itakura ◽  
Kazuyuki Mito ◽  
Tota Mizuno
Keyword(s):  
Input Interface

A Multiple-choice Input Interface using Slanting Eye Glance

2017 ◽  
Vol 137 (4) ◽  
pp. 621-627 ◽  
Author(s):  
Shogo Matsuno ◽  
Yuta Ito ◽  
Kota Akehi ◽  
Naoaki Itakura ◽  
Tota Mizuno ◽  
...  
Keyword(s):  
Multiple Choice ◽  
Input Interface

Study of Gesture Input Interface for Smart Device by Wrist Movement

2019 ◽  
Vol 139 (11) ◽  
pp. 579-584 ◽  
Author(s):  
Hayato Matsuura ◽  
Tota Mizuno ◽  
Kota Akehi ◽  
Marzieh Aliabadi Farahani ◽  
Kazuyuki Mito ◽  
...  
Keyword(s):  
Smart Device ◽  
Wrist Movement ◽  
Input Interface ◽  
Gesture Input

scholarly journals Use Learnable Knowledge Graph in Dialogue System for Visually Impaired Macro Navigation

2021 ◽  
Vol 11 (13) ◽  
pp. 6057
Author(s):  
Ching-Han Chen ◽  
Ming-Fang Shiu ◽  
Shu-Hui Chen
Keyword(s):  
Natural Language ◽  
Human Computer Interaction ◽  
Navigation System ◽  
Visually Impaired ◽  
Knowledge Graph ◽  
Dialogue System ◽  
Natural Language Dialogue ◽  
Communication Method ◽  
Main Subsystem ◽  
Computer Interaction

Dialogue in natural language is the most important communication method for the visually impaired. Therefore, the dialogue system is the main subsystem in the visually impaired navigation system. The purpose of the dialogue system is to understand the user’s intention, gradually establish context through multiple conversations, and finally provide an accurate destination for the navigation system. We use the knowledge graph as the basis of reasoning in the dialogue system, and then update the knowledge graph so that the system gradually conforms to the user’s background. Based on the experience of using the knowledge graph in the navigation system of the visually impaired, we expect that the same framework can be applied to more fields in order to improve the practicality of natural language dialogue in human–computer interaction.

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