The document discusses advancements in affective computing and computer vision techniques to enhance interactivity in digital television. It explores various methods for capturing emotions, such as facial recognition and touchable holography, and highlights potential applications including audience control and contextual content adaptation. The findings suggest that these technologies can improve user experience, particularly for specific groups such as individuals with autism.

1. André Valdestilhas
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2. Television assisted in groups
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3. Affective Computing
Multiple levels of emotion
Emotional
generation experience
Emotional aspect
Emotional aspect
A broad category of mind-body
interactions
Emotional experience
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4. Computer Vision
(Molz, 2001)
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5. State of the art:
Techniques and tools for capturing
emotions through interactive
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6. Capturing facial expressions
Attention Meter [5];
 Television assisted in groups;
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7. Affective interaction with use of
accelerometer
The video camera is not the only way to capture the emotions of
the viewer, HITV [6] show this;
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8. Hologram touch sensitive
(2 Wiimote + Airborne Ultrasound Tactile Display +
Holographic image) = Touchable Holography [12];
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9. Discussion (Possible utilizations)
Audience control;
Feedback data collection…
Content contextualization;
Adapts the content according to the emotion…
Use with autistic people;
Affective computing can be used for treatement…
Use for HCI;
Reducing the frustration of the user…
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10. Final Considerations
• Contributions:
• Investigate Affective computing and
Computer Vision concepts has aplied to
improve interactivity for Digital Television.
• Exemples of uses like audience control and
context of content for Digital Television.
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11. Demonstration
Attention Meter;
OpenCV;
Tochable holography (Hoshi, Siggraph 2009);
HiTV (Ball with accelerometer – MIT Affective
TV);