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Journal on Multimodal User Interfaces : Volume 11

Journal on Multimodal User Interfaces : Volume 11, Issue 2, June 2017

Multimodal HCI: exploratory studies on effects of first impression and single modality ratings in retrospective evaluation

Design and application of 2D illusory vibrotactile feedback for hand-held tablets

An insight into assistive technology for the visually impaired and blind people: state-of-the-art and future trends

Diegetic user interfaces for virtual environments with HMDs: a user experience study with oculus rift

Cluster-based approach to discriminate the user’s state whether a user is embarrassed or thinking to an answer to a prompt

Providing plasticity and redistribution for 3D user interfaces using the D3PART model

The impact of human–robot multimodal communication on mental workload, usability preference, and expectations of robot behavior

Extraction of texture and geometrical features from informative facial regions for sign language recognition

Journal on Multimodal User Interfaces : Volume 11, Issue 1, March 2017

Journal on Multimodal User Interfaces : Volume 10

Journal on Multimodal User Interfaces : Volume 9

Journal on Multimodal User Interfaces : Volume 8

Journal on Multimodal User Interfaces : Volume 7

Journal on Multimodal User Interfaces : Volume 6

Journal on Multimodal User Interfaces : Volume 5

Journal on Multimodal User Interfaces : Volume 4

Journal on Multimodal User Interfaces : Volume 3

Journal on Multimodal User Interfaces : Volume 2

Journal on Multimodal User Interfaces : Volume 1

Cluster-based approach to discriminate the user’s state whether a user is embarrassed or thinking to an answer to a prompt

Content Provider	Springer Nature Link
Author	Chiba, Yuya se, Takashi Ito, Akiri
Copyright Year	2017
Abstract	Spoken dialog systems are employed in various devices to help users operate them. An advantage of a spoken dialog system is that the user can make input utterances freely, but the system sometimes makes it difficult for the user to speak to it. The system should estimate the state of a user who encounters a problem when starting a dialog and then give appropriate help before the user abandons the dialog. Based on this assumption, our research aims to construct a system which responds to a user who does not reply to the system. In this paper, we propose a method of discriminating the user’s state based on vector quantization of non-verbal information such as prosodic features, facial feature points, and gaze. The experimental results showed that the proposed method outperforms the conventional approaches and achieves a discrimination ratio of 72.0%. Then, we examined sequential discrimination for responding to the user at an appropriate timing. The results indicate that the discrimination ratio reached equal to the end of the session at around 6.0 s.
Starting Page	185
Ending Page	196
Page Count	12
File Format	PDF
ISSN	17837677
Journal	Journal on Multimodal User Interfaces
Volume Number	11
Issue Number	2
e-ISSN	17838738
Language	English
Publisher	Springer International Publishing
Publisher Date	2017-01-11
Publisher Place	Cham
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Spoken dialog system User state estimation Audio-visual information Sequential descrimination User Interfaces and Human Computer Interaction Signal,Image and Speech Processing Image Processing and Computer Vision
Content Type	Text
Resource Type	Article
Subject	Signal Processing Human-Computer Interaction

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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Cluster-based approach to discriminate the user’s state whether a user is embarrassed or thinking to an answer to a prompt

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