TED: This app knows how you feel -- from the look on your face | Rana el Kaliouby

TED: This app knows how you feel -- from the look on your face | Rana el Kaliouby

Assessment

Interactive Video

Social Studies

11th Grade - University

Hard

Created by

Quizizz Content

FREE Resource

The video explores the integration of emotional intelligence into technology, highlighting the journey of a computer scientist who developed emotion-sensing technology. It explains how facial expressions are analyzed to read emotions and demonstrates the technology in action. The video discusses the vast data collected, insights on gender and cultural differences, and potential applications in various fields. It concludes with a vision for emotionally intelligent devices and ethical considerations.

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10 questions

Show all answers

1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What motivated the speaker to explore emotional intelligence in technology?

A need to enhance cognitive intelligence

Her interest in Hollywood blockbusters

A desire to improve business decisions

Her laptop's inability to understand her emotions

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is an 'action unit' in emotion science?

A digital communication tool

A Hollywood movie

A facial muscle movement

A type of computer algorithm

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

How does the technology differentiate between a smile and a smirk?

By using deep learning to identify subtle differences

By analyzing the speed of the expression

By measuring the volume of laughter

By checking the color of the lips

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is one of the key findings about gender differences in expressiveness?

There is no difference between men and women

Women smile more and their smiles last longer

Men are more expressive than women

Men's smiles are more genuine

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

In which country do women show 40% more expressiveness than men?

United Kingdom

United States

Egypt

Canada

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What potential application of emotion recognition technology is mentioned for education?

Detecting confusion and adjusting the pace of learning

Tracking students' attendance

Monitoring physical health

Grading assignments automatically

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the speaker's vision for devices in the next five years?

Devices will be smaller and faster

Devices will have emotion chips

Devices will be voice-activated

Devices will be solar-powered

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