Social and Emotional Intelligence in AI and Agents fileComputers in Human Behavior, 37, pp. 94-100....

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Transcript of Social and Emotional Intelligence in AI and Agents fileComputers in Human Behavior, 37, pp. 94-100....

Page 1: Social and Emotional Intelligence in AI and Agents fileComputers in Human Behavior, 37, pp. 94-100. Sensing Camera Physiological measurement (PPG) Camera Facial expressions Scene Understanding
Page 2: Social and Emotional Intelligence in AI and Agents fileComputers in Human Behavior, 37, pp. 94-100. Sensing Camera Physiological measurement (PPG) Camera Facial expressions Scene Understanding

Daniel McDuff

Social and Emotional Intelligence in AI and Agents

Page 3: Social and Emotional Intelligence in AI and Agents fileComputers in Human Behavior, 37, pp. 94-100. Sensing Camera Physiological measurement (PPG) Camera Facial expressions Scene Understanding

Applications

Personal Assistance

Education

Transportation

Gaming

Health and Care

Marketing

Governance

Page 4: Social and Emotional Intelligence in AI and Agents fileComputers in Human Behavior, 37, pp. 94-100. Sensing Camera Physiological measurement (PPG) Camera Facial expressions Scene Understanding

Applications

Personal Assistance

Education

Transportation

Gaming

Health and Care

Marketing

Governance

Page 5: Social and Emotional Intelligence in AI and Agents fileComputers in Human Behavior, 37, pp. 94-100. Sensing Camera Physiological measurement (PPG) Camera Facial expressions Scene Understanding

For an assistant to truly become valuable to the user, it must be natural to interact with and engaging.

• T Bickmore and J Cassell. 2001. Relational agents: a model and implementation of building user trust. Proceedings of the SIGCHI conference on Human factors in computing systems, pp. 396-403. ACM.

• J Gratch, N Wang, J Gerten, E Fast, and R Duffy. 2007. Creating rapport with virtual agents. International Conference on Intelligent Virtual Agents, pp. 125-138. Springer.

• GM Lucas, J Gratch, A King, and LP Morency. 2014. It’s only a computer: virtual humans increase willingness to disclose. Computers in Human Behavior, 37, pp. 94-100.

Page 6: Social and Emotional Intelligence in AI and Agents fileComputers in Human Behavior, 37, pp. 94-100. Sensing Camera Physiological measurement (PPG) Camera Facial expressions Scene Understanding

For an assistant to truly become valuable to the user, it must be natural to interact with and engaging.

• T Bickmore and J Cassell. 2001. Relational agents: a model and implementation of building user trust. Proceedings of the SIGCHI conference on Human factors in computing systems, pp. 396-403. ACM.

• J Gratch, N Wang, J Gerten, E Fast, and R Duffy. 2007. Creating rapport with virtual agents. International Conference on Intelligent Virtual Agents, pp. 125-138. Springer.

• GM Lucas, J Gratch, A King, and LP Morency. 2014. It’s only a computer: virtual humans increase willingness to disclose. Computers in Human Behavior, 37, pp. 94-100.

Page 7: Social and Emotional Intelligence in AI and Agents fileComputers in Human Behavior, 37, pp. 94-100. Sensing Camera Physiological measurement (PPG) Camera Facial expressions Scene Understanding

Sensing Camera

Physiological measurement (PPG)

Camera

Facial expressions

Scene Understanding

Cellphone

Personal Agent

Activities + Experience Sampling

Microphone

Speech-to-Text and Sentiment

Voice prosody

Page 8: Social and Emotional Intelligence in AI and Agents fileComputers in Human Behavior, 37, pp. 94-100. Sensing Camera Physiological measurement (PPG) Camera Facial expressions Scene Understanding

Example

PSI

Physiology (HR, HRV, Respiration)

Facial Actions and Expressions

Speech Sentiment

Voice Tone/Prosody

Scene Understanding + Object Detection

Webcam and Microphone

Page 9: Social and Emotional Intelligence in AI and Agents fileComputers in Human Behavior, 37, pp. 94-100. Sensing Camera Physiological measurement (PPG) Camera Facial expressions Scene Understanding

Multimodal

Combining modalities consistently improves recognition performance and can help generalize affect recognition.

Longitudinal

Emotions are short-lived and moods are longer, detecting an emotion without knowledge of a persons typical behavior is hard.

Personalized

Interpersonal variability is large, often larger than cultural or other demographic variability.

Page 10: Social and Emotional Intelligence in AI and Agents fileComputers in Human Behavior, 37, pp. 94-100. Sensing Camera Physiological measurement (PPG) Camera Facial expressions Scene Understanding

age gender culture

years men women migration

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Page 11: Social and Emotional Intelligence in AI and Agents fileComputers in Human Behavior, 37, pp. 94-100. Sensing Camera Physiological measurement (PPG) Camera Facial expressions Scene Understanding

Learning Across Datasets

Anonymized/Aggregated

Large-scale Meta Data

Dataset A Dataset B Dataset C