HCI International 2022 - Late Breaking Papers. Multimodality in Advanced Interaction Environments : 24th International Conference on Human-Computer Interaction, HCII 2022, Virtual Event, June 26 – July 1, 2022, Proceedings / edited by Masaaki Kurosu, Sakae Yamamoto, Hirohiko Mori, Dylan D. Schmorrow, Cali M. Fidopiastis, Norbert A. Streitz, Shin'ichi Konomi.

Format:

Book

Contributor:

Kurosu, Masaaki, editor.

Series:

Lecture Notes in Computer Science, 1611-3349 ; 13519

Language:

English

Subjects (All):

User interfaces (Computer systems).

Human-computer interaction.

User Interfaces and Human Computer Interaction.

Local Subjects:

User Interfaces and Human Computer Interaction.

Physical Description:

1 online resource (569 pages)

Edition:

1st ed. 2022.

Place of Publication:

Cham : Springer Nature Switzerland : Imprint: Springer, 2022.

Summary:

Volume LNCS 13519 is part of the refereed proceedings of the 24th International Conference on Human-Computer Interaction, HCII 2022, which was held virtually during June 26 to July 1, 2022. A total of 5583 individuals from academia, research institutes, industry, and governmental agencies from 88 countries submitted contributions, and 1276 papers and 275 posters were included in the proceedings that were published just before the start of the conference. Additionally, 296 papers and 181 posters are included in the volumes of the proceedings published after the conference, as “Late Breaking Work” (papers and posters). The contributions thoroughly cover the entire field of human-computer interaction, addressing major advances in knowledge and effective use of computers in a variety of application areas.

Contents:

Multimodal Interaction and Psychophysiological Computing

3D Hand Pose Recognition over a Wide Area using Two Omnidirectional Cameras with Field-of-view Division

Towards a Dynamic Model for the Prediction of Emotion Intensity from Peripheral Physiological Signals

Introduction to the 2nd Edition of "Semantic, Artificial and Computational Interaction Studies"

Towards Efficient Odor Diffusion with an Olfactory Display Using an Electronic Nose

Rendering Personalized Real-time Expressions While Speaking Under a Mask

Applying Generative Adversarial Networks and Vision Transformers in Speech Emotion Recognition

Development of a Web-based Interview Support System Using Characters Nodding with Various Movements

Emotion Recognition from Physiological Signals using Continuous Wavelet Transform and Deep Learning

Surrogate Sensory Feedback of Grip Force in Older and Younger Participants only Influences Fine Motor Control, but not the Object Weight Perception

Laughter Meaning Construction and Use in Development: Children and Spoken Dialogue Systems

Skeleton-Based Sign Language Recognition With Graph Convolutional Networks on Small Data

Gesture Elicitation for Augmented Reality Environments

A Systematic Procedure for Comparing Template-based Gesture Recognizers

An Elderly User-Defined Gesture Set for Audio Natural Interaction in Square Dance

Using Fiducial Marker for Analyzing Wearable Eye-Tracker Gaze Data Measured while Cooking

Using Wearable Devices for Emotion Recognition in Mobile Human-Computer Interaction: A Review

Human-Robot Interaction

Human-Robot-Collaboration in the Healthcare Environment: An Exploratory Study

Towards an Active Predictive Relation by Reconceptualizing a Vacuum Robot: Research on the Transparency and Acceptance of the Predictive Behaviors

On Improving the Acceptance of IntelligentCompanion Robots Among Chinese Empty-Nesters with the Application of Emotion-al Design

Human Interpretation of Inter-robot Communication

Conversational Agents and Robot Interaction

Surgical Human-Robot Interaction: A Bibliometric Review

Human Intention Recognition for Safe Robot Action Planning using Head Pose

Mobile Manipulator for Hospital Care using Firebase

Iterative Design Process for HRI: Serving Robot in Restaurant

Brain-Computer Interfaces

Methodology Design of the Correlation between EEG Signals and Brain Regions Mapping in Panic Attacks

Establishing Clinical Protocols for BCI-Based Motor Rehabilitation in Individuals Post Stroke - The Impact of Feedback Type and Selected Outcome Measures: A Systematic Review

Training CNN to Detect Motor Imagery in ECoG Data Recorded During Dreaming

Time Majority Voting, a PC-based EEG Classifier for Non-expert Users

It's Easy as ABC Framework for User Feedback

Single-Subject vs. Cross-Subject Motor Imagery Models

Hybrid Convolutional, Recurrent and Attention-based Architectures of Deep Neural Networks for Classification of Human-Computer Interaction by Electroencephalography

Predicting the Future: A ML MI Replication Study

High-Powered Ocular Artifact Detection with C-LSTM-E

ML vs DL: Accuracy and Testing Runtime Trade-offs in BCI

CNN with Self-Attention in EEG Classification

Design Thinking the Human-AI Experience of Neurotechnology for Knowledge Workers

Optimizing ML Algorithms under CSP and Riemannian Covariance in MI-BCIs.

Notes:

Includes bibliographical references and index.

ISBN:

9783031176180

3031176189

OCLC:

1492994635