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Grant funded by the National Science Foundation

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lana-bradley
16 diapositives · 307 Views · Nov 19, 2014

This study explores the monitoring of student emotions while learning with AutoTutor, focusing on the discriminability and diagnosticity of Action Units (AUs) associated with specific emotions. Conducted by Bethany McDaniel and funded by the National Science Foundation, the research evaluates how effectively various AUs can be detected based on motion, edge, and texture characteristics. Using expert judges trained in the Facial Action Coding System, the study assesses the clarity and detectability of these AUs to enhance understanding of students' emotional responses during learning.

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  1. Monitoring Emotions While Students Learn with AutoTutor Discriminability and Diagnosticity of AUs and Emotions Bethany McDaniel August 31, 2005 Grant funded by the National Science Foundation

  2. Where we are… • 2003 - Emote-Aloud Study (handout) • 2004 - Gold Standard Study (handout) • 2005 - Speech Recognition Study (will be covered in October by Patrick Chipman)

  3. Discriminability and Diagnosticity • Discriminability • How well can each Action Unit (AU) be detected • Motion, Edge, and Texture • Diagnosticity • How frequent an AU is with one emotion compared to the frequency of the AU across all emotions.

  4. Discriminability • Rate AUs on motion, edge, and texture • Motion: How detectable the change is from the Neutral position. • Edge: How clearly defined a line or object on the face is in relation to the surrounding area. • Texture: The level of graininess for the general area. The degree of variation of the intensity of the surface, quantifying properties such as smoothness, coarseness and regularity.

  5. Grading Discriminability • 2 expert judges • trained on the Facial Action Coding System (Ekman & Friesen, 1978) • Rate Motion, Edge, and Texture on a 1-6 scale • 1=Very Difficult, 6=Very Easy • Averaged the 3 scores for each expert • Score between 3-18 • 3=Very Difficult to detect, 18= Very Easy to detect

  6. In the following table, rate the given dimensions (Motion, Edge, & Texture) on the following 6-point scale Motion, Edge, and Texture 1 Very Difficult 2 Difficult 3 Moderately Difficult 4 Moderately easy 5 Easy 6 Very Easy

  7. Results

  8. Diagnosticity • Looked at AUs that had been identified with certain emotions (Craig et al., 2004) • Frustration: AUs 1,2, and 14 • Confusion: AUs 4,7, and 12 • Boredom: AU 43 • Formula: p (AU| emotion x) – p (AU| all emotions) 1 - p (AU| all emotions)

  9. Frustration

  10. Frustration

  11. Confusion

  12. Confusion

  13. Boredom

  14. Boredom

  15. Diagnosticity

  16. Discriminability x Diagnosticity