SER594 Lecture 08

Human Computer Interaction
Midterm
(201903)

Transcript

1. SER594
   Human-Computer Interaction
   Lecture 08
   Review
   Javier Gonzalez-Sanchez, PhD
   javiergs@asu.edu
   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
    javiergs@asu.edu
    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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