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Study PortalCOMP3145The Interaction Models
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    COMP3145

    HCI & Computer Graphics

    Progress0 / 73 done
    Topics73
    1Input-output channels2Human memory3Thinking, Reasoning, Problem solving4Emotions and Individual differences5Psychology and design of interacting systems
    6Text entry devices7Positioning, Pointing, and drawing devices8Display devices9Devices for virtual reality and 3D interaction10Physical controls, Sensors and special devices11Paper printing and scanning12Memory, Processing and networks
    13Models of interaction14Frameworks and HCI15Ergonomics16Interaction styles17Elements of the WIMP interfaces18Interactivity and Context of interaction
    19Introduction20Paradigms for interaction
    21What is design22Process of design and User focus23Navigation design24Screen design and layout25Iteration and prototyping
    26Software life cycle27Usability engineering28Iterative design and prototyping29Design rationale30Design rules and Guidelines31Golden rules and heuristics32HCI patterns33Evaluation techniques and methods34Task analysis35Universal design36User support systems37Computer Supported Cooperative Work38Groupware systems39Implementation of synchronous groupware40Ubiquitous computing41History of Computer Graphics42Graphics architectures and software
    43Pinhole camera, Human vision, Synthetic camera44Modeling vs. rendering45OpenGL Architecture46Displaying simple two-dimensional geometric objects47Positioning systems and windowed environment48Color perception and models49RGB, CMY, HLS color models50Color transformations
    51RGB and indexed color
    52Network environment and client-server computing
    53event, sample and request input54Using callbacks and picking
    55translation, rotation, scaling, shear56Homogeneous coordinates and concatenation57Current transformation and matrix stacks
    58Classical viewing59Specifying views in 3D60Affine transformation in 3D61Projective transformations62Ray tracing
    63Illumination and surface modeling64Phong shading model65Polygon shading
    66Line drawing via Bresenham's algorithm67Clipping and polygonal fill68BitBlt operations69Hidden surface removal (z buffer)
    70Buffers71Reading and writing bitmaps and pixel maps72Texture mapping73Compositing
    3 min read
    Topic 13 of 73
    Topic Study Note Illustration
    13

    The Interaction: Models of interaction

    Definition: Models of interaction are conceptual frameworks that describe how humans and computers communicate and interact . They help designers understand user behavior, system response, and the...

    Models of Interaction

    Definition: Models of interaction are conceptual frameworks that describe how humans and computers communicate and interact. They help designers understand user behavior, system response, and the flow of information, which is crucial for designing effective interfaces.

    These models can be abstract or concrete, focusing on cognitive processes, physical actions, or system responses.


    1. Conceptual Models

    Definition: A conceptual model is a high-level explanation of how a system works, including its objects, actions, and expected user behavior. It helps users form mental models of the system.

    Example:

    • Desktop metaphor: Files, folders, and trash bins in operating systems.
    • Users understand system behavior by analogy to physical objects.

    Relevance:

    • Reduces user learning curve
    • Makes systems predictable and understandable

    2. Interaction Models

    These models describe how the user and system communicate through input and output.


    a. Command-Line Model (CLI)

    Definition: The user interacts with the system by typing commands, and the system responds with text output.

    Characteristics:

    • Requires precise syntax
    • Fast for expert users
    • Low error tolerance

    Example: Terminal in Linux or Windows CMD.


    b. Direct Manipulation Model

    Definition: Users interact directly with visible objects on the interface, often using pointing devices.

    Characteristics:

    • Immediate visual feedback
    • Continuous representation of objects
    • Reversible actions

    Example: Drag-and-drop files in a graphical desktop environment.


    c. Menu Selection Model

    Definition: Users choose actions from a list of options displayed on the screen.

    Characteristics:

    • Reduces memory load
    • Limits errors
    • Suitable for casual users

    Example: Right-click context menus, software menus.


    d. Form-Fill-In Model

    Definition: Users enter data into fields presented on a form.

    Characteristics:

    • Guides structured input
    • Reduces input errors
    • Suitable for transactions

    Example: Online application forms, spreadsheets.


    e. Natural Language Model

    Definition: The user interacts with the system using spoken or written natural language.

    Characteristics:

    • Mimics human-human communication
    • Requires language understanding
    • Can handle flexible input

    Example: Chatbots, voice assistants like Alexa or Siri.


    3. Human Information Processing Model

    Definition: Describes interaction in terms of cognitive processes: perception, attention, memory, decision-making, and action.

    Flow:

    1. User perceives system output
    2. Processes information using mental models
    3. Decides an action
    4. Performs action via input devices
    5. System responds, and feedback completes the loop

    Relevance:

    • Guides interface design for usability
    • Helps minimize cognitive load

    4. Interaction Styles

    Interaction models are also sometimes referred to as interaction styles, describing how users and computers exchange information. Common styles include:

    Style Description Example
    Command-Line Type commands Linux terminal
    Menu-Driven Select from options ATM machines, software menus
    Form-Fill-In Enter structured data Online registration
    Direct Manipulation Interact with objects visually Drag-and-drop in GUI
    Natural Language Use human language Chatbots, virtual assistants

    Relevance in HCI

    • Helps designers choose the right interaction paradigm based on user expertise and task type.
    • Improves usability, learnability, and efficiency of systems.
    • Provides a framework to evaluate and predict user behavior.
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    Frameworks and HCI

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