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SER594 Lecture 08

SER594 Lecture 08

Human Computer Interaction
Midterm
(201903)

Javier Gonzalez-Sanchez
PRO

April 24, 2019
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  1. SER594
    Human-Computer Interaction
    Lecture 08
    Review
    Javier Gonzalez-Sanchez, PhD
    [email protected]
    javiergs.engineering.asu.edu
    Office Hours: By appointment

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  2. Project

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  3. Step 1
    • You have software that generate random values for
    a number of inputs X.
    • For human affect and cognitive states

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  4. Step 2
    • You have a client that can read, synchronize and
    fuse multiple sources of data
    • Task 1. Put the data in a vector space
    representation (such as PAD)
    • Task 2. Visualize the data on screen

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  5. Step 2
    5
    Agent
    Integration
    Agent
    Agent
    System
    Multimodal

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  6. Continuous Dimensional Model
    -++ --- --+ +-- ++- -+- --+

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  7. Step 3
    • Can we define 3 categories?
    • Can we (all together) create data and label them for
    these categories?

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  8. Step 4 | real-time
    8
    Agent
    Integration
    Agent
    Agent
    System
    Multimodal

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  9. BTW
    • The project requires a client and multiple servers,
    They have GUI and interaction … we need them to
    be user friendly

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  10. Midterm Review

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  11. Topics
    1. Concepts. Human (A + C), Computer (Data, AI), Interaction
    (Input, Output)
    2. Human factors
    3. Interaction need Interfaces (Q1)(P1)
    4. UI Design: structure, color, communication
    5. User Experience: good and bad practices

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  12. Topics
    1. Learning (supervised::regression)
    2. Learning (unsupervised::neural networks)
    3. Software Engineering or what you did in your project topics.

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  13. Bonus

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  14. Step 5 | bonus
    14

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  15. Visualization
    15
    BCI and Gaze Points boredom
    This figure shows the boredom gaze points (above a threshold of 0.5) of a user while reading a material with seductive details (i.e. cartoons).
    Notice that the text in the middle part of the second column of that page was boring.

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  16. Visualization
    16
    BCI and Gaze Points engagement
    This figure shows the engagement fixation points of expert player playing in expert-mode. The size of the circle represents the duration of the fixation in that point, while the level of shading
    represents the intensity of the emotion.

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  17. SER594 – Human Computer Interaction
    Javier Gonzalez-Sanchez
    [email protected]
    Spring 2019
    Disclaimer. These slides can only be used as study material for the SER594 course at ASU.
    They cannot be distributed or used for another purpose.

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