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인지공학 (Cognitive Engineering)

인지공학 (Cognitive Engineering). 2007 년 1 학기 고려대학교 대학원. 수업진행 목차. 강사 및 학생 소개 2007 년 1 학기 강의방법 인지공학 / 인간공학 정의 다음주 수업을 위한 과제. 강사소개. 이름 : 홍 승 권 소속 : 충주대학교 산업경영공학과 관심분야 응용영역 : Transportation, IT 제품 이론영역 : Decision Making, Attention, Sociotechnical System Design, Visual Performance.

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인지공학 (Cognitive Engineering)

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  1. 인지공학(Cognitive Engineering) 2007년 1학기 고려대학교 대학원

  2. 수업진행 목차 • 강사 및 학생 소개 • 2007년 1학기 강의방법 • 인지공학/인간공학 정의 • 다음주 수업을 위한 과제

  3. 강사소개 • 이름 : 홍 승 권 • 소속 : 충주대학교 산업경영공학과 • 관심분야 • 응용영역 : Transportation, IT 제품 • 이론영역 : Decision Making, Attention, Sociotechnical System Design, Visual Performance.

  4. 인지공학 강의 방법 • 교재 • Human-Computer Interaction by Dix, Finlay, Abowd and Beale. Prentice Hall Europe. • Handbook of Human-Computer Interaction. by Helander and Prabhu, E lservier Science. • Cognitive Work Analysis by Vicente, Lawrence Erlbaum Associates. • Papers

  5. 인지공학 강의 방법 • 평가방법 • 출석 10% • 참여(수업중토의참여) 10% • 과제(수업을위한발표준비) 20% • 중간고사 20% • 기말고사(시험과프로젝트) 40%

  6. 강의 목차 • Week 1 인지공학의개요 • Week 2 Task Analysis (GOMS) • Week 3 Work Domain Analysis (AH) • Week 4 Control Task Analysis • Week 5 Human Decision Making • Week 6 Task Analysis Applications • Week 7 Exam #1

  7. 강의 목차 • Week 8 Presence • Week 9 Presence Applications • Week 10 Groupware (CSCW) • Week 11 CSCW Applications • Week 12 Display Design • Week 13 Product Design for the older • Week 14 Intelligent Vehicle Systems • Week 15 Final Exam • Week 16 Project Presentation

  8. Cognitive Engineering • Cognitive Engineering is an interdisciplinary approach to designing computerized systems intended to support human performance (Roth, Patterson, & Mumaw, 2001). • It encompasses the fields of human factors, human-computer interaction, cognitive psychology, computer science, artificial intelligence and other related fields.

  9. Cognitive Engineering • The methods of Cognitive Engineering consider workers and the tasks they perform as the central drivers for system design. • The aim is to develop systems that support cognitive functions such as problem solving, planning, decision making, perception, memory, situation assessment, monitoring, and prioritizing.

  10. Question that are addressed by methods of CE: • What are the goals and constraints of the application domain? • What range of tasks do domain practitioners perform? • What strategies do the use to perform these tasks today? • What factors contribute to task complexity? • What tools can be provided to facilitate the work of domain practitioners and achieve their goals more effectively.

  11. Method Smaller Faster Better Cognitive Task Analysis I.A.1 Applied Cognitive Task Analysis (ACTA) I.A.2 Critical Decision Method (CDM) I.A.3 PARI Method I.A.4 Skill-Based CTA Framework I.A.5 Decompose, Network, and Asses (DNA) Method I.A.6 Task-Knowledge Structures (TKS) I.A.7 Goal-Directed Task Analysis (GDTA) I.A.8 Cognitive Function Model (CFM) I.A.9 Cognitively Oriented Task Analysis (COTA) I.A.10 Hierarchical Task Analysis (HTA) I.A.11 Interacting Cognitive Subsystems (ICS) I.A.12 Knowledge Analysis and Documentation System (KADS) IA.13 Team CTA Techniques

  12. Method Smaller Faster Better Knowledge Elicitation I.B.1 Unstructured Interviews I.B.2 Structured Interviews I.B.3 Step Listing I.B.4 Group Interview I.B.5 Questionnaires I.B.6 Teachback I.B.7 Field Observations/Ethnographic Methods I.B.8 Twenty Questions I.B.9 Discourse/Conversation/Interaction Analysis I.B.10 Activity Sampling I.B.11 Think-Aloud Problem-Solving/Protocol Analysis I.B.12 Retrospective/Aided Recall I.B.13 Interruption Analysis I.B.14 Shadowing Another I.B.15 Shadowing Self I.B.16 Simulators/Mockups I.B.17 Exploratory Sequential Data Analysis (ESDA) I.B.18 Minimal Scenario Technique I.B.19 Critical Incident Technique (CIT) I.B.20 Cloze Technique I.B.21 Critiquing I.B.22 Crystal Ball/Stumbling Block Technique I.B.23 Table-Top Analysis I.B.24 Wizard of Oz Technique I.B.25 Decision Analysis I.B.26 Rating and Sorting Tasks I.B.27 Magnitude Estimation I.B.28 Repertory Grid Technique I.B.29 P Sort I.B.30 Q Sort I.B.31 Hierarchical Sort I.B.32 Cluster Analysis I.B.33 Multidimensional Scaling (MDS) I.B.34 Likert Scale Elicitation I.B.35 Structural Analysis Technique I.B.36 Conceptual Graph Construction I.B.37 Diagramming I.B.38 Laddering I.B.39 Influence Diagram Construction

  13. Method Smaller Faster Better Computational Cognitive Modeling I.C.1 Keystroke Level Model (KLM) I.C.2 CMN-GOMS (Card Moran Newell GOMS) I.C.3 NGOMSL (Natural GOMS Language) I.C.4 CAT (Cognitive Analysis Tool) I.C.5 COGNET I.C.6 COGENT I.C.7 ACT-R (Atomic Component of Thought - Rational) I.C.8 Soar I.C.9 EPIC (Executive-Process Interactive Control) I.C.10 Apex I.C.11 MIDAS (Man Machine Integrated Design and Analysis System) I.C.12 SAMPLE (Situation Awareness Model for Pilot-in-the-Loop Evaluation) I.C.13 OMAR (Operator Model ARchitecture)

  14. Method Smaller Faster Better Task Analysis II.A.1 Behavioral Task Analysis II.A.2 Operational Sequence Diagrams II.A.3 Timeline Analysis II.A.4 Operator Function Model (OFM) II.A.5 Link Analysis Computational Task Simulation II.B.1 IMPRINT (Improved Performance Research Integration Tool) II.B.2 CART (Combat Automation Requirements Testbed) II.B.3 Micro Saint (System Analysis of Integrated Network of Tasks) II.B.4 WinCrew II.B.5 IPME (Integrated Performance Modeling Environment) System Evaluation Methods III.A.1 Heuristic Evaluation III.A.2 Walk-throughs/Cognitive Walk-throughs/Talk-throughs III.A.3 Formal Usability Studies III.A.4 Rapid Prototyping III.A.5 Storyboarding III.A.6 Interface Evaluation Surveys III.A.7 Ergonomics Checklists III.A.8 Contextual Inquiry Theoretical Frameworks III.B.1 Activity Theory III.B.2 Situated Cognition III.B.3 Distributed Cognition III.B.4 Naturalistic Decision Making (NDM)

  15. Method Smaller Faster Better Human Reliability Analysis IV.1 Event Tree Analysis IV.2 Fault Tree Analysis IV.3 Failure Modes and Effects Analysis IV.4 Barrier Analysis IV.5 Hazard and Operability Analysis (HAZOP) IV.6 Management Oversight Risk Tree (MORT) IV.7 Work Safety Analysis IV.8 Confusion Matrices IV.9 Operator Action Event Tree IV.0 Generic Error Modeling System (GEMS) IV.1 Cognitive Reliability and Error Analysis Method (CREAM) CognitivelyOriented Methods V.A.1 Cognitive Work Analysis (CWA) V.A.2 Applied Cognitive Work Analysis (ACWA) V.A.3 Cognitive Function Analysis (CFA) V.A.4 COADE Framework (COgnitive Analysis Design and Evaluation) V.A.5 Perceptual Control Theory (PCT) Approach System-Oriented Methods V.B.1 Information Flow Analysis V.B.2 Functional Flow Analysis V.B.3 Function Allocation V.B.4 Mission and Scenario Analysis V.B.5 Signal Flow Graph Analysis

  16. 다음주 발표준비 • 조 편성 • 12장 : Cognitive Models • 12.1~12.2 : GOMS • 12.3 : Linguistic Model • 12.4 ~12.5 : KLM, Three-State Model • 12.6 : Cognitive Architectures • 조별 Paper 준비/발표

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