Human Computer Interaction for Computer-Based Classroom Teaching

2009 ◽  
pp. 1436-1458
Author(s):  
Wolfgang Hürst ◽  
Khaireel A. Mohamed
Keyword(s):  
Human Computer Interaction ◽  
Software Design ◽  
Data Type ◽  
Classroom Teaching ◽  
Teaching Process ◽  
Input Devices ◽  
Computer Based ◽  
Digital Ink ◽  
Computer Interaction

This chapter focuses on HCI aspects to overcome problems arising from technologies and applications that may hinder the normal teaching process in ICT-ready classrooms. It investigates different input devices on their usage and interactivity for classroom teaching and argues that pen-based computing is the mode of choice for lecturing in modern lecture halls. It also discusses the software design of the interface where digital ink, as a “first class” data type is used to communicate visual contents and interact with the ICT.

Human Computer Interaction for Computer-Based Classroom Teaching

2007 ◽  
pp. 21-42
Author(s):  
W. Hürst
Keyword(s):  
Human Computer Interaction ◽  
Software Design ◽  
Data Type ◽  
Classroom Teaching ◽  
Teaching Process ◽  
Input Devices ◽  
Computer Based ◽  
Digital Ink ◽  
Computer Interaction

This chapter focuses on HCI aspects to overcome problems arising from technologies and applications that may hinder the normal teaching process in ICT-ready classrooms. It investigates different input devices on their usage and interactivity for classroom teaching and argues that pen-based computing is the mode of choice for lecturing in modern lecture halls. It also discusses the software design of the interface where digital ink, as a “first class” data type is used to communicate visual contents and interact with the ICT.

Design and Evaluation of Vision-Based Head and Face Tracking Interfaces for Assistive Input

2014 ◽  
pp. 180-205 ◽  
Author(s):  
Chamin Morikawa ◽  
Michael J. Lyons
Keyword(s):  
Human Computer Interaction ◽  
Qualitative Evaluation ◽  
Facial Feature ◽  
Face Tracking ◽  
Input Devices ◽  
Interaction Styles ◽  
Facial Feature Tracking ◽  
The Face ◽  
Gesture Interfaces ◽  
Computer Interaction

Interaction methods based on computer-vision hold the potential to become the next powerful technology to support breakthroughs in the field of human-computer interaction. Non-invasive vision-based techniques permit unconventional interaction methods to be considered, including use of movements of the face and head for intentional gestural control of computer systems. Facial gesture interfaces open new possibilities for assistive input technologies. This chapter gives an overview of research aimed at developing vision-based head and face-tracking interfaces. This work has important implications for future assistive input devices. To illustrate this concretely the authors describe work from their own research in which they developed two vision-based facial feature tracking algorithms for human computer interaction and assistive input. Evaluation forms a critical component of this research and the authors provide examples of new quantitative evaluation tasks as well as the use of model real-world applications for the qualitative evaluation of new interaction styles.

Issues in Spoken Dialogue Systems for Human- Computer Interaction

2012 ◽  
pp. 128-148 ◽  
Author(s):  
Tanveer J. Siddiqui ◽  
Uma Shanker Tiwary
Keyword(s):  
Human Computer Interaction ◽  
Dialogue Systems ◽  
Separate Component ◽  
Spoken Dialogue Systems ◽  
Spoken Dialogue ◽  
Dialog Systems ◽  
Important Variation ◽  
Computer Based ◽  
General Architecture ◽  
Computer Interaction

Spoken dialogue systems are a step forward towards the realization of human-like interaction with computer-based systems. This chapter focuses on issues related to spoken dialog systems. It presents a general architecture for spoken dialogue systems for human-computer interaction, describes its components, and highlights key research challenges in them. One important variation in the architecture is modeling knowledge as a separate component. This is unlike existing dialogue systems in which knowledge is usually embedded within other components. This separation makes the architecture more general. The chapter also discusses some of the existing evaluation methods for spoken dialogue systems.

Design of Machine Operating Panel Based on CAN Bus for the PC-Based CNC System

2013 ◽  
Vol 819 ◽  
pp. 334-338
Author(s):  
Kai Fa Wu ◽  
Tai Yong Wang ◽  
Jing Chuan Dong ◽  
Qing Jian Liu ◽  
Fu Xun Lin ◽  
...  
Keyword(s):  
Human Computer Interaction ◽  
Software Design ◽  
Can Bus ◽  
Design Method ◽  
Transmission Characteristic ◽  
Architecture Design ◽  
Practical Application ◽  
Cnc System ◽  
Stable Transmission ◽  
Computer Interaction

Machine operating panel is an important component of controlling machine and the human-computer interaction. As CAN bus has the remote and stable transmission characteristic, the remote IO board is designed. A design of machine operating panel based on CAN bus for the PC-based CNC system is introduced, including the overall architecture design and software design method. This paper focuses on the remote IO board, as well as the practical application in the CNC system of TDNC-H8.

scholarly journals Real-Time Precise Human-Computer Interaction System Based on Gaze Estimation and Tracking

2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Junhao Huang ◽  
Zhicheng Zhang ◽  
Guoping Xie ◽  
Hui He
Keyword(s):  
Human Computer Interaction ◽  
Real Time ◽  
Binary Classification ◽  
Gaze Estimation ◽  
State Recognition ◽  
Video Source ◽  
Interaction System ◽  
Computer Based ◽  
Computer Interaction

Noncontact human-computer interaction has an important value in wireless sensor networks. This work is aimed at achieving accurate interaction on a computer based on auto eye control, using a cheap webcam as the video source. A real-time accurate human-computer interaction system based on eye state recognition, rough gaze estimation, and tracking is proposed. Firstly, binary classification of the eye states (opening or closed) is carried on using the SVM classification algorithm with HOG features of the input eye image. Second, rough appearance-based gaze estimation is implemented based on a simple CNN model. And the head pose is estimated to judge whether the user is facing the screen or not. Based on these recognition results, noncontact mouse control and character input methods are designed and developed to replace the standard mouse and keyboard hardware. Accuracy and speed of the proposed interaction system are evaluated by four subjects. The experimental results show that users can use only a common monocular camera to achieve gaze estimation and tracking and to achieve most functions of real-time precise human-computer interaction on the basis of auto eye control.

scholarly journals Human-computer interaction as science

2015 ◽  
Vol 1 (1) ◽  
pp. 12 ◽  
Author(s):  
Stuart Reeves
Keyword(s):  
Human Computer Interaction ◽  
Cognitive Science ◽  
Scientific Discipline ◽  
Title Page ◽  
Input Devices ◽  
Research Communities ◽  
Core Idea ◽  
The Impact ◽  
Computer Interaction

<div class="page" title="Page 1"><div class="layoutArea"><div class="column"><p><span>The human-computer interaction (HCI) has had a long and troublesome relationship to the role of ‘science’. HCI’s status as an academic object in terms of coherence and adequacy is often in question—leading to desires for establishing a true scientific discipline. In this paper I explore formative cognitive science influences on HCI, through the impact of early work on the design of input devices. The paper discusses a core idea that I argue has animated much HCI research since: the notion of scientific design spaces. In evaluating this concept, I disassemble the broader ‘picture of science’ in HCI and its role in constructing a disciplinary order for the increasingly diverse and overlapping research communities that contribute in some way to what we call ‘HCI’. In concluding I explore notions of rigour and debates around how we might reassess HCI’s disciplinarity.</span></p></div></div></div>

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