마스터 제목 스타일 편집 마스터 텍스트 스타일을 편집합니다 둘째 수준 셋째 수준 넷째 수준 다섯째 수준 Queueing Network-Model Human Processor(QN-MHP): A Computational Architecture for Multitask Performance.

Slides:



Advertisements
Similar presentations
A Model for Infusing Engineering and Programming Concepts in Introduction to Computer Courses at Community Colleges. Intro to Robotics and Programming.
Advertisements

COURSE: COMPUTER PLATFORMS
School of Engineering & Technology Computer Architecture Pipeline.
Threaded Cognition: An Integrated Theory of Concurrent Multitasking
Urban Encounters: The game of real life Eamonn O’Neill University of Bath Department of Computer Science Vassilis Kostakos University of Madeira / Carnegie.
Indycar Telemetry Data Acquisition Interface Danny Ho March 25, 2002 University of Waterloo Systems Design SD 542.
G063 - The Model Human Processor. Learning Objective: describe the user interface designers tool known as the ‘Model Human Processor', describe how the.
Session C2: Promising Research Roundtable An Integrated Work-Zone Computer System For Capacity Estimation, Cost/Benefit Analysis, and Design Of Control.
Knowledge, Mental Models and HCI. Introduction 4 If we want to –predict learning time –identify “typical” errors –relative ease of performance of tasks.
Copyright 2008 by User Interface Lab Industrial Engineering Dept. of Industrial Systems & Information Engineering Korea University Serial Modules in Parallel.
Behaviour and Performance of Interactive Multi-player Game Servers Ahmed Abdelkhalek, Angelos Bilas, and Andreas Moshovos.
Chapter 13 Artificial Intelligence. Introduction Artificial intelligence (AI) is the part of computer science that attempts to make computers act like.
Symbolic Encoding of Neural Networks using Communicating Automata with Applications to Verification of Neural Network Based Controllers* Li Su, Howard.
Starting Introduction Project description Project demonstration Conclusion Question.
Use with Computer Systems and Networks by Blundell, Khan, Lasebae and Jabbar ISBN © 2007 Middlesex University Press Computer Systems and.
System Management Network Environment Vehicle Characteristics Traveler Characteristics System Traveler Influencing Factors Traveler: traveler characteristics,
Surface Mine Truck Safety Training Design And Implementation of a Multi-user VR Driving Simulator Yan W. Ha, Jeremy Murray, and Dr. Frederick C. Harris,
Chapter 2 Introduction to Systems Architecture. Chapter goals Discuss the development of automated computing Describe the general capabilities of a computer.
Introduction to Computer and Programming CS-101 Lecture 6 By : Lecturer : Omer Salih Dawood Department of Computer Science College of Arts and Science.
Chapter 5 Models and theories 1. Cognitive modeling If we can build a model of how a user works, then we can predict how s/he will interact with the interface.
Modeling Driver Behavior in a Cognitive Architecture
Introduction to computers.. What Is A Computer A computer is a multi-tasking device that performs mathematical and logical computations A computer can.
Introduction GAM 376 Robin Burke Winter Outline Introductions Syllabus.
마스터 제목 스타일 편집 마스터 텍스트 스타일을 편집합니다 둘째 수준 셋째 수준 넷째 수준 다섯째 수준 In Ok Son Korea Fair Trade Commission Abuse of dominance in hi-tech markets and network.
마스터 제목 스타일 편집 마스터 텍스트 스타일을 편집합니다 둘째 수준 셋째 수준 넷째 수준 다섯째 수준 Hwang Lee Not for citation and/or distribution beyond OECD Korea Regional Centre.
Ground Robotics Reliability Center Andrew Niedert, Yazan Aljeroudi, Dr. Nassif Rayess, and Dr. Richard Hill Department of Mechanical Engineering, University.
Comparative Navigation System for Collaborative Project The 15-th International Conference in Central Europe on Computer Graphics, Visualization and Computer.
Queuing Network Modeling of Transcription Typing.
Korea Univ. Division Information Management Engineering UI Lab. Korea Univ. Division Information Management Engineering UI Lab. IMS 802 Cognitive Modeling.
Lecture 8: 9/19/2002CS149D Fall CS149D Elements of Computer Science Ayman Abdel-Hamid Department of Computer Science Old Dominion University Lecture.
An ‘EPIC’ on Multitasking Jason Baer. Multitasking Used very often in practical settings Reveals fundamentals of an information processing system Fundamental.
The Psychology of Human-Computer Interaction
Computer Components: Software Computer Technology.
A comparison of two license plate acquiring methods Ubiquitous computing David Filipovic.
LaHave House Project 1 LaHave House Project Automated Architectural Design BML + ARC.
마스터 제목 스타일 편집 마스터 텍스트 스타일을 편집합니다 둘째 수준 셋째 수준 넷째 수준 다섯째 수준 The GOMS Family of User Interface Analysis Techniques : Comparison and Contrast Bonnie E. John.
마스터 제목 스타일 편집 마스터 텍스트 스타일을 편집합니다 둘째 수준 셋째 수준 넷째 수준 다섯째 수준 Ecological Interface Design Ch.2 : Work Domain Analysis 1 조 : 이석원, 남택수.
마스터 제목 스타일 편집 마스터 텍스트 스타일을 편집합니다 둘째 수준 셋째 수준 넷째 수준 다섯째 수준 Capturing the effect of context on human performance in mobile computing systems Leon Barnard,
1 3 Computing System Fundamentals 3.3 Computer Systems.
마스터 제목 스타일 편집 마스터 텍스트 스타일을 편집합니다 둘째 수준 셋째 수준 넷째 수준 다섯째 수준 Use of Model-Based Qualitative Icons and Adaptive Windows in Workstations for Supervisory Control.
마스터 제목 스타일 편집 마스터 텍스트 스타일을 편집합니다 둘째 수준 셋째 수준 넷째 수준 다섯째 수준 Queueing Network Model of Elementary Mental Processes Yili Liu 이 석 원이 석 원.
마스터 부제목 스타일 편집 3/9/09 Opening Remarks YoungSung Lee MD PhD Chungbuk National University National Cancer Center.
EBIZ 509 Foundations of E-Business. 2 © UW Business School, University of Washington 2004 Agenda Today Class schedule and class plan Basic computer concepts.
Introduction The objective of simulation – Analysis the system (Model) Analytically the model – a description of some system intended to predict the behavior.
1 A Distributed Approach to Interference Mitigation between OFDM-based Systems Operating in License-exempt Spectrum Omar Ashagi, Sean Murphy and.
마스터 제목 스타일 편집 마스터 텍스트 스타일을 편집합니다 둘째 수준 셋째 수준 넷째 수준 다섯째 수준 The Framing of Decisions and the Psychology of Choice - Amos Tversky and Daniel Kahneman.
GOMS as a Simulation of Cognition Frank Ritter, Olivier Georgeon 28 oct 2014.
Use Cases Defining user requirements in chunks. Introduction Presentation on Use Cases, includes: Presentation on Use Cases, includes: What is a use case.
Lecture 7: Cognitive Science A Necker Cube
Chapter 4. CONCEPT OF THE OPERATING SYSTEM MANAGING ESSENTIAL FILE OPERATIONS.
Introduction to Computer Networks
Slovak University of Technology in Bratislava Institute of information engineering, automation, and mathematics Creation of demo application for SCADA.
Chapter 4 – Introduction to Operating System Concepts
Systems Software Keywords Operating Systems
High Performance Messaging on Workstations
OPERATING SYSTEMS.
Introduction Deregulation of the market: facilities to new producers
Physics-based simulation for visual computing applications
Project Title This is a sample slide layout
Symbolic cognitive architectures
GOMS as a Simulation of Cognition
GOMS as a Simulation of Cognition
Electronics Engineering Division
Operating System Introduction.
Human Computer Interaction
Model based design Cognitive (user) models
Introduction to IFSM 303 Human Factors in Computer Systems Design
Modeling the Spread of a Virus in a Modern Environment
Introduction Human computer interaction for managerial work
Title First name, last name, university, city, country
Presentation transcript:

마스터 제목 스타일 편집 마스터 텍스트 스타일을 편집합니다 둘째 수준 셋째 수준 넷째 수준 다섯째 수준 Queueing Network-Model Human Processor(QN-MHP): A Computational Architecture for Multitask Performance in Human-Machine Systems 이 주우

Division of Information Management Engineering User Interface Lab. Queueing Network-Model Human Processor(QN-MHP) INTRODUCTION SYMBOLIST, MATHEMATICAL, SYSTEMS ENGINEERING, AND CONNECTIONIST MODELS OF HUMAN PERFORMANCE A COMPARISON OF THE SYMBOLIST MODELS AND THE QN-MHP IN MULTITASK MODELING THE QN-MHP DRIVER PERFORMANCE MODELING WITH THE QN-MHP EMPIRICAL VALIDATION OF THE QN-MHP DRIVING MODEL DISCUSSION AND CONCLUSIONS

Division of Information Management Engineering User Interface Lab. Queueing Network-Model Human Processor (QN-MHP) - Queueing network - Symbolic model We describe in this article… 2.1 Symbolist Models of Cognitive Architecture -MHP/GOMS family of models, EPIC, ACT-R, SOAR, CAPS INTRODUCTION

Division of Information Management Engineering User Interface Lab. 2.2 Mathematical Models of Mental Architecture SYMBOLIST, MATHEMATICAL, SYSTEMS ENGINEERING, AND CONNECTIONIST MODELS OF HUMAN PERFORMANCE

Division of Information Management Engineering User Interface Lab. SYMBOLIST, MATHEMATICAL, SYSTEMS ENGINEERING, AND CONNECTIONIST MODELS OF HUMAN PERFORMANCE 2.2 “Systems Engineering and Simulation” Models of Human-Machine Interaction 2.3 Connectionist Models 3. A COMPARISON OF THE SYMBOLIST MODELS AND THE QN-MHP IN MULTITASK MODELING - MHP, CPM-GOMS→GLEAN3 - EPIC - The QN-MHP

Division of Information Management Engineering User Interface Lab. THE QN-MHP The QN-MHP assumes that there is a close resemblance between a human cognitive system and a queueing network

Division of Information Management Engineering User Interface Lab. DRIVER PERFORMANCE MODELING WITH THE QN-MHP Drive performance of two concurrent activities

Division of Information Management Engineering User Interface Lab. DRIVER PERFORMANCE MODELING WITH THE QN-MHP The QN-MHP Model of Vehicle Steering

Division of Information Management Engineering User Interface Lab. EMPIRICAL VALIDATION OF THE QN-MHP DRIVING MODEL

Division of Information Management Engineering User Interface Lab. DISCUSSION AND CONCLUSIONS QN-MHP A very important next step