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    HCI & Computer Graphics
    COMP3145
    Progress0 / 73 topics
    Topics
    1. The Human: Input-output channels2. Human memory3. Thinking, Reasoning, Problem solving4. Emotions and Individual differences5. Psychology and design of interacting systems6. The Computer: Text entry devices7. Positioning, Pointing, and drawing devices8. Display devices9. Devices for virtual reality and 3D interaction10. Physical controls, Sensors and special devices11. Paper printing and scanning12. Memory, Processing and networks13. The Interaction: Models of interaction14. Frameworks and HCI15. Ergonomics16. Interaction styles17. Elements of the WIMP interfaces18. Interactivity and Context of interaction19. Usability Paradigm and Principles: Introduction20. Paradigms for interaction21. Interaction Design Basics: What is design22. Process of design and User focus23. Navigation design24. Screen design and layout25. Iteration and prototyping26. HCI in Software Process: Software life cycle27. Usability engineering28. Iterative design and prototyping29. Design rationale30. Design rules and Guidelines31. Golden rules and heuristics32. HCI patterns33. Evaluation techniques and methods34. Task analysis35. Universal design36. User support systems37. Computer Supported Cooperative Work38. Groupware systems39. Implementation of synchronous groupware40. Ubiquitous computing41. History of Computer Graphics42. Graphics architectures and software43. Imaging and vision: Pinhole camera, Human vision, Synthetic camera44. Modeling vs. rendering45. OpenGL Architecture46. Displaying simple two-dimensional geometric objects47. Positioning systems and windowed environment48. Color perception and models49. RGB, CMY, HLS color models50. Color transformations51. Color in OpenGL: RGB and indexed color52. Input: Network environment and client-server computing53. Input measures: event, sample and request input54. Using callbacks and picking55. Affine transformations: translation, rotation, scaling, shear56. Homogeneous coordinates and concatenation57. Current transformation and matrix stacks58. Three Dimensional Graphics: Classical viewing59. Specifying views in 3D60. Affine transformation in 3D61. Projective transformations62. Ray tracing63. Shading: Illumination and surface modeling64. Phong shading model65. Polygon shading66. Rasterization: Line drawing via Bresenham's algorithm67. Clipping and polygonal fill68. BitBlt operations69. Hidden surface removal (z buffer)70. Discrete Techniques: Buffers71. Reading and writing bitmaps and pixel maps72. Texture mapping73. Compositing
    COMP3145›Thinking, Reasoning, Problem solving
    HCI & Computer GraphicsTopic 3 of 73

    Thinking, Reasoning, Problem solving

    3 minread
    471words
    Beginnerlevel

    1. Thinking

    Definition: Thinking is the mental process of manipulating information, making sense of experiences, forming ideas, and planning actions. It includes perception, memory, imagination, and decision-making.

    Characteristics:

    • Involves mental representation of concepts
    • Can be automatic (fast) or deliberate (slow)
    • Forms the basis for reasoning and problem-solving

    Relevance to HCI:

    • Users think while navigating interfaces, interpreting icons, and making choices
    • Good UI design reduces unnecessary thinking by being intuitive and predictable
    • Cognitive load must be minimized to support efficient thinking

    Examples in HCI:

    • Clear layout helps users identify actions quickly
    • Well-designed workflows reduce mental effort

    2. Reasoning

    Definition: Reasoning is the process of drawing logical conclusions from available information, making judgments, and evaluating choices.

    Types of Reasoning:

    a. Deductive Reasoning

    • Moves from general rules to specific conclusions
    • If the rules are correct, the conclusion is certain

    Example in HCI: "If all settings options are in the menu, and I need display settings → I should look in the menu."

    b. Inductive Reasoning

    • From specific observations to general principles
    • Conclusions are probable, not guaranteed

    Example in HCI: "Most icons with a gear symbol represent settings → This gear is probably settings too."

    c. Abductive Reasoning

    • Inference to the best explanation
    • Used when information is incomplete

    Example: "The app froze and the screen is unresponsive → The system may have crashed."

    Relevance to HCI:

    • Users reason to understand how interfaces behave
    • Designers must make behaviors predictable and consistent
    • Clear feedback reduces incorrect user assumptions

    3. Problem Solving

    Definition: Problem solving is the cognitive process of identifying a gap between a current state and a desired state, and taking steps to overcome that gap.

    Stages of Problem Solving:

    1. Recognizing the problem
    2. Understanding and defining it
    3. Generating possible solutions
    4. Evaluating and selecting a solution
    5. Executing the solution
    6. Reviewing the outcome

    Types of Problems:

    • Well-defined problems: clear goals (e.g., “change password”)
    • Ill-defined problems: unclear goals (e.g., “fix performance issues”)

    Relevance to HCI:

    • Users constantly solve small problems (e.g., “How do I undo?”)
    • Good design reduces effort needed to solve such problems

    Examples:

    • Clear error messages help users diagnose issues
    • Wizards and guides reduce cognitive effort
    • Consistent iconography helps users choose correct actions

    Relationship Between Thinking, Reasoning, and Problem Solving

    Concept Definition Role in HCI
    Thinking General mental processes Users interpret interface elements
    Reasoning Logical thinking for making conclusions Helps users choose actions and understand system behavior
    Problem Solving Finding solutions to achieve a goal Users complete tasks and recover from errors

    They work together:

    • Thinking provides understanding
    • Reasoning interprets information and predicts outcomes
    • Problem solving applies reasoning to achieve goals

    Why These Concepts Matter in HCI

    Designers must account for human limitations in thinking, reasoning, and problem solving:

    • Reduce cognitive load
    • Provide clear feedback
    • Use consistent design patterns
    • Support user decision-making
    • Offer error recovery options

    These principles make interfaces more intuitive, efficient, and user-friendly.

    Previous topic 2
    Human memory
    Next topic 4
    Emotions and Individual differences

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      Reading Stats
      Est. reading time3 min
      Word count471
      Code examples0
      DifficultyBeginner