Hyungil Ahn

Prediction is very difficult, especially about the future.
-- Niels Bohr

Affective Computing Group at the MIT Media Lab
a PhD student in Media Arts and Sciences, MIT
Advisor : Rosalind W. Picard

Computational Models of Human Behavioral, Affective and Cognitive Decision Making

Prediction Models of Customer Decisions, Prediction Market

Human-Agent Interaction, Machine Learning

Neuroeconomics, Consumer Psychology

Affective Cognitive Learning and Decision Making

Recent affective neuroscience and psychology indicate that human affect and emotional experience play a significant, and useful, role in human learning and decision making. Most machine learning and decision-making models, however, are based on old purely cognitive models. I aim to redress this problem, by developing new models that integrate affect with cognition. The first model is being built to address several very difficult problems in machine learning. My aim is to utilize affect-like mechanisms to fix several of these problems. I expect that an integrated affective-cognitive learning system should exhibit many improvements over the state of the art, ultimately enabling much smoother human-computer interaction and more intelligent human-machine systems.

To see more details, please refer to
Hyungil Ahn and Rosalind W. Picard (2005), "Affective-Cognitive Learning and Decision Making: The Role of Emotions" (pdf)

Robotic Computer (RoCo)

(detail)(simple simulation)(Real RoCo movie!!!)

A robotic computer that moves its monitor "head" and "neck," but that has no explicit face, is being designed to interact with users in a natural way for applications such as learning, rapport-building, interactive teaching, and posture improvement. In all these applications, the robot will need to move in subtle ways that express its state and promote appropriate movements in the user, but that don't distract or annoy. Toward this goal, we are giving the system the ability to recognize and have subtle expressions. This project is an ongoing collaboration with the MIT Media Lab's Personal Robots Group.

To see more details, please refer to
Hyungil Ahn, Alea Teeters, Andrew Wang, Cynthia Breazeal and Rosalind Picard (2007), "Stoop to Conquer: Posture and affect interact to influence computer users' persistence" (pdf)

NewScientist article on RoCo: If you're happy, the robot knows it (click here to see the article)

A Multi-Modal Affective-Cognitive Technique for Product Evaluation with Computational Models of Predicting Customer Decisions

Companies want to get more new products to be successful in the marketplace; however, current evaluation methods such as focus groups do not accurately predict customer decisions in the marketplace. We are developing new technology-assisted methods to try to improve the customer evaluation process and better predict customer decisions. The new methods involve multi-modal affective measures (such as facial expression and skin conductance) together with behavioral measures, anticipatory-motivational measures, and self-report cognitive measures. These measures are combined into a novel computational model, the form of which is motivated by findings in affective neuroscience and human behavior. The model is being trained and tested with customer product evaluations and marketplace outcomes from real product launches.

(MAS.750) Human-Robot Interaction, Cynthia Breazeal, Fall 2006

(MAS.921) PhD Proseminar in Media Arts and Sciences, Deb Roy, Fall 2006

(6.868/MAS.731J ) The Society of Mind, Marvin Minsky, Spring 2006

(14.127) Behavioral Economics & Finance, Xavier Gabaix, Spring 2006

(PS545 at BC) Affective Neuroscience, Jaak Panksepp, Fall 2005

(9.660) Computational Cognitive Science, Joshua Brett Tenenbaum, Fall 2005

(MAS630) Affective Computing, Roz Picard, Spring 2005

(2.193) Decision Making in Large-Scale Systems, Daniela Pucci de Farias, Spring 2005

(MAS622J) Pattern Recognition and Analysis, Roz Picard, Fall 2004

(6.867) Machine Learning, Tommi Jaakkola, Fall 2004

Teaching Assistant for (MAS622J) Pattern Recognition and Analysis, Fall 2008 with Prof. Roz Picard

Hyungil Ahn, Alea Teeters, Andrew Wang, Cynthia Breazeal and Rosalind Picard (2007), "Stoop to Conquer: Posture and affect interact to influence computer users' persistence" (pdf), The 2nd International Conference on Affective Computing and Intelligent Interaction (ACII 2007), September 12-14, 2007, Lisbon, Portugal.

Hyungil Ahn and Rosalind W. Picard (2006), "Affective-Cognitive Learning and Decision Making: The Role of Emotions" (pdf), The 18th European Meeting on Cybernetics and Systems Research (EMCSR 2006). April 18-19, 2006, Vienna, Austria.

J.J. Goo, K.S. Park, M. Lee, J. Park, M. Hahn, H. Ahn, and R. W. Picard (2006), "Effects of Guided and Unguided Style Learning on User Attention in a Virtual Environment" (pdf), Edutainment2006.

Ashish Kapoor, Yuan (Alan) Qi, Hyungil Ahn and Rosalind W. Picard (2005), "Hyperparameter and Kernel Learning for Graph Based Semi-Supervised Classification" (pdf), Neural Information Processing System (NIPS 2005). December 5-8, 2005, Vancouver, B.C.

Hyungil Ahn and Rosalind W. Picard (2005), "Affective-Cognitive Learning and Decision Making: A Motivational Reward Framework For Affective Agents" (pdf), The 1st International Conference on Affective Computing and Intelligent Interaction (ACII 2005). October 22-24, 2005, Beijing, China.

Ashish Kapoor, Hyungil Ahn and Rosalind W. Picard (2005), "Mixture of Gaussian Processes for Combining Multiple Modalities" (pdf), Workshop on Multiple Classifier Systems (MCS 2005).

Hyungil Ahn
20 Ames Street, E15-450
Cambridge, MA 02139

(Email) hiahn aT media doT mit doT edu