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Advanced Human Computer Interaction Additional materials for Advanced HCI students
Welcome to Advance Human Computer Interaction. This journey is an additional material for Advanced HCI students. This journey is designed to guide you through the subject.
All subject materials are available on LearnJCU and Google drive.Â
Online training video for JCU students at Lynda.com. Â
The main objective of this subject is to apply what you have learnt so far as an IT professional and design usable interactive products.
Read the lecture notes and textbook, be familiar with requirement gathering, design principles of design usable interactive products, conceptual modeling, data collection methods, and evaluation approaches.
Deliver a quality working software.
Email: inssong@gmail.com.
Drop messages in the forum of this journey or send messages using "Tutor" button in the chat page of a chapter of this journey.
Please complete tasks listed below. Lucy will guide you through the tasks.
Week 1
Week 2
Week 3
Week 4
Week 5
Week 7
Week 8
Week 9
Week 10
Week 11
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An overview of all topics of the subject.
Week 1
Subject Assessments: Complete the survey individually
What is Interaction Design: Quizz
Usable Products: Quizz
What can guide us to design usable products?
Usability goals: Quizz
User experience design goals: Quizz
User Experience Design Principles: Quizz
Conceptual Model: Quizz
Interaction Types: Quizz
Project Ideas: Complete the survey individually
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Week 2
Group contest for Week 1 contents: Usable, Interaction Design, Usability goals, User experience goals, Four interaction types, User experience design principals, Usability vs. User experience, Conceptual model, Metaphor
How can we find out about users’ needs? How to evaluate products?
Data Recording Methods
Data Gathering Techniques
Interview
Questionnaire
Observation
Data Analysis Methods
Data Types
Grounded Theory
Distributed Cognition
Activity Theory
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Week 3
Group contest: Usable, Interaction Design, What to design for?, Usability Goals vs. User Experience Goals, Design Principals for User Experience Goals, User involvement and evaluation are the key in ID, Data Recording Methods, Six Data Collection Methods, Five Key Issues in Data Collection: Five Triangulation methods, Grounded Theory/Distributed Cognition/Activity TR
Design Approaches
User centered design
Activity centered design
System centered design
Genius design
Interaction Design Process
Establishing Requirements
Design Alternatives
Integrate interaction design in other models
Establishing RequirementsÂ
Types of Requirements
User Characteristics
Personas
Data gathering for requirements: Interview, Focus groups, Questionnaires, Research similar products, Direct observation, Indirect observation
Studying documentation
Contextual Inquiry
Data interpretation and analysis: Task description and Task analysis
Task Description: Scenario, Use cases, Essential Use cases
Task Analysis:Â Hierarchical Task AnalysisÂ
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Week 4
Software Design vs Interaction Design
Prototypes in Interaction DesignÂ
Why Prototype
What to PrototypeÂ
Low Fidelity Prototypes
High Fidelity Prototypes
Low Fidelity vs High Fidelity Prototypes
Compromises in PrototypingÂ
Scenarios: Plus and Minus
From Requirement to Conceptual Model
Considering interaction types
Scenario to Storyboard
Card-based Prototype
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Week 5Â Cognition, Collaboration and Communication
Cognition: Mental Processes
Attention
Perception
Memory
Learning
Language
Solving
Cognitive Frameworks
Internal Cognitive Frameworks: Mental models, Gulfs of execution and evaluation, Information processing.
External Cognitive Frameworks:Â External cognition, Distributed cognition, Embodied interaction.
Collaboration and communication.
Three core forms of social mechanisms:
Conversational mechanisms,
Coordination mechanisms,
Awareness mechanisms
Emergent Social Phenomena
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Week 6:Â Emotional Interaction Interface types
Emotional Interaction
Emotional Interfaces
Expressive Interfaces
Frustrating Interfaces
Friendly Interfaces
Persuasive Technologies
Anthropomorphism
Virtual characters & agents
Models of Emotion
Emotional Design Model
Pleasure Model
Technology as Experience
Types of Interfaces
Command-Line,
WIMP & GUI,
Menu,
Icons,
Multimedia,
Virtual reality and virtual environments,
Information visualization,
Web,
Mobile,
Speech,
Pen,
Touch,
Air-based gestures,
Haptic,
Sharable,
Tangible,
Augmented and mixed reality,
Wearable,
Robots,
Brain-computer
Which Interface?
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Week 7:Â Introducing Evaluation and Evaluation Framework
Define goals and explore questions
Evaluate alternative designs
Label vs. icon
Evaluation Approaches
Controlled settings
User evaluation in Natural settings
Predictive Evaluation
Evaluation Methods
Observing
Asking users
Asking Experts
User Testing
Modeling
Plan Evaluation
DECIDE: a framework to guide evaluation
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Week 8:Â Usability testing and field studies
Group Contest: Usable, Usability goals, User experience goals, Design principals of User experience, Data collection method for requirements, Questionnaire Response formats, Data analysis methods, Conceptual model, Types of Prototypes, Why Cognition and Emotion in ID?, Usability Evaluation approaches and methods, DECIDE framework
Usability testing
Experimental designs
Experiments vs Usability testing
Participant design methods
Types of Quantitative performance measures: What should we observe and measure?
Usability Engineering Orientation: How can we improve interaction using usability testing?
Field studies
Data presentation
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Week 9:Â Cultural Dimensions
What’s culture?
Cultural Dimensions
Hofstede's Dimensions of Culture
Power-distance (PD)
Individualism vs. Collectivism (IC)
Masculinity vs. Femininity (MAS)
Uncertainty avoidance (UA)
Long- vs. short-term time orientation (LTO)
Culture Centered Design
Garden Metaphor for Chinese user target groups
Appearance
Professionalism
Four features that qualify people as professionals
HCI in Professionalism
Ethics in HCI
Rights of participants
Ethical issues - Case studies
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Week 10:Â Analytical evaluation
Evaluation without users
Inspections: Heuristic Evaluation, Cognitive Walk-through
Analytics, Web Analytics
Predictive Models
Heuristic Evaluation
Discount evaluation
3 stages for doing heuristic evaluation
Cognitive Breakthroughs
Pluralistic Walk-through
Analytics
Web Analytics
Predictive Models
GOMS (KLM)
Fitts’ Law
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