Adaptive Estimation of Emotion Generation for an Ambient Agent Model

To improve the performance and wellbeing of humans in complex human-computer interaction settings, an interesting challenge for an ambient (or pervasive) agent system is to recognise the emotions of humans. To this end, this paper introduces a computational model to estimate the process of emotion generation based on certain triggers. The model has been implemented and tested using the modelling language LEADSTO. A first evaluation indicates that the model is successful in estimating a person's emotions, and is robust to different parameter settings.

[1]  Maja Pantic,et al.  Automatic Recognition of Facial Expressions and Human Emotions , 2007 .

[2]  David B. Kaber,et al.  The effects of level of automation and adaptive automation on human performance, situation awareness and workload in a dynamic control task , 2004 .

[3]  Zhigang Deng,et al.  Analysis of emotion recognition using facial expressions, speech and multimodal information , 2004, ICMI '04.

[4]  Elisabeth André,et al.  Comparing Feature Sets for Acted and Spontaneous Speech in View of Automatic Emotion Recognition , 2005, 2005 IEEE International Conference on Multimedia and Expo.

[5]  Thomas S. Huang,et al.  Emotion Recognition from Facial Expressions using Multilevel HMM , 2000 .

[6]  J. Gross.  The Emerging Field of Emotion Regulation: An Integrative Review , 1998 .

[7]  Tibor Bosse,et al.  A Cognitive Model for Visual Attention and Its Application , 2006, 2006 IEEE/WIC/ACM International Conference on Intelligent Agent Technology.

[8]  Joseph Bates,et al.  The role of emotion in believable agents , 1994, CACM.

[9]  Kostas Karpouzis,et al.  Emotion recognition through facial expression analysis based on a neurofuzzy network , 2005, Neural Networks.

[10]  Tibor Bosse,et al.  A Language and Environment for Analysis of Dynamics by Simulation , 2005, Int. J. Artif. Intell. Tools.

[11]  Tibor Bosse,et al.  A Dynamical System Modelling Approach to Gross' Model of Emotion Regulation , 2007 .

[12]  Tibor Bosse,et al.  A Two-Level BDI-Agent Model for Theory of Mind and its Use in Social Manipulation , 2007 .

[13]  Tibor Bosse,et al.  Formalisation of Damasio’s theory of emotion, feeling and core consciousness , 2008, Consciousness and Cognition.

[14]  A. Damasio.  The Feeling of What Happens: Body and Emotion in the Making of Consciousness , 1999 .

[15]  David V. Pynadath,et al.  PsychSim: Agent-based Modeling of Social Interactions and Influence , 2004, ICCM.

[16]  Stacy Marsella,et al.  Modeling coping behavior in virtual humans: don't worry, be happy , 2003, AAMAS '03.

[17]  FrijdaMansteadBem.  Emotions and Beliefs: How Feelings Influence Thoughts , 2000 .

[18]  J. E. Ball,et al.  Modeling the Emotional State of Computer Users , 1999 .

[19]  Peter Gärdenfors.  Slicing the theory of mind , 2001 .

[20]  A. Goldman,et al.  Simulationist models of face-based emotion recognition , 2005, Cognition.