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Emotional Intelligence and Agents – Survey and Possible Applications
Mirjana Ivanovic, Milos Radovanovic, Zoran Budimac, Dejan Mitrovic, Vladimir Kurbalija,
Weihui Dai and Weidong Zhao
1University of Novi Sad, Serbia2Fudan University, Shanghai, China
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Agenda
Introduction
Emotional Intelligence and its Influence on Intelligent Systems
Multi-agent Intelligent System for Emotion Recognition
Conclusions
2/14Emotional Intelligence and Agents – Survey and Possible Applications - WIMS'14, June 2-4, 2014, Thessaloniki, Greece
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Introduction
Emotional Intelligence is a new discipline of knowledge, dealing with modeling, recognition and control of human emotions.
It is an interdisciplinary research related to machine learning, natural language processing, psychology…
Cognitive Model and Propagation Model
Emotional Intelligence and Agents – Survey and Possible Applications - WIMS'14, June 2-4, 2014, Thessaloniki, Greece 3/14
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Introduction Human emotion
- caused by specific situations, - emotional change can trigger a series of physiological responses, - form the unique subjective experience expressed like gesture, action, language
…
Objective of cognitive model - reason about emotions, - predict and understand human emotions, - process emotions and give appropriate response.
EI provides the key theory and technical basis- new generation sensor networks, - intelligent information processing techniques, - man-machine conversation technologies, - machine intelligence services, - …
Emotional Intelligence and Agents – Survey and Possible Applications - WIMS'14, June 2-4, 2014, Thessaloniki, Greece 4/14
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Introduction Multi-agent systems (MAS) - Highly connected to the
application of EI in real domains.
- Development of logical frameworks for the formal specification of emotions.
- Exploit logical methods in order to provide a rigorous specification of how emotions should be implemented in an artificial agent.
Recent work: - Enabling intelligent software agents to detect emotions
via verbal, non-verbal, and textual cues,
- Express emotions through speech and gestures.Emotional Intelligence and Agents – Survey and Possible Applications - WIMS'14, June 2-4, 2014, Thessaloniki, Greece 5/14
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Agenda
Introduction
Emotional Intelligence and its Influence on Intelligent Systems
Multi-agent Intelligent System for Emotion Recognition
Conclusions
6/14Emotional Intelligence and Agents – Survey and Possible Applications - WIMS'14, June 2-4, 2014, Thessaloniki, Greece
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Emotional Intelligence and its Influence on IS
1. Usability of EI: Necessary Research Activities
Today’s users are not satisfied with simple visual and audio responses of interactive systems.
Want to employ all their sensory organs in order to receive the details of a multimedia presentation: require tactile, olfactory, and other modes of communications.
Trend: to build interactive systems that are more attractive and closer to end-users, to be believable and trustable.
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Emotional Intelligence and its Influence on IS
1. Usability of Emotional Intelligence: Necessary Research Activities
Research challenges and activities:- Analysis and evaluation of different emotional classification methods:
speech, expression, gesture, action, and electrophysiology information
- Improve the stability and accuracy of emotional information pattern recognition: use and combine different recognition algorithms,
- Exploiting logical methods in order to provide a rigorous specification of how emotions should be implemented in an artificial agent.
- Identifying desirable features of emotion theories that make them ideal blueprints for agent models.
- A natural consequence: build a prototype of a multiagent system capable of reasoning about emotions, predicting and understanding human emotions, and processing emotions by reasoning and during the interaction with a human user.
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Emotional Intelligence and its Influence on IS
2. Emotional Intelligence and Agent Technology
Apply specific methods for dynamic data analysis and pattern recognition, to identify /discover new knowledge from available emotional information.
The main focus on specific activities:- Choosing the appropriate analysis methods for large amounts of dynamic and
temporal data (collected from simulations and experiments) which can be used in explanations and modeling of human emotions.
- To explore possibilities of modeling multi-agent systems which incorporate emotional intelligence.
- To build a logic that enables specification of complex emotions (e.g. regret, jealousy, envy, shame, guilt, reproach, admiration, remorse, pride, embarrassment).
- To perform experiments on numerous appropriate data sets (system based on FAP – Framework for Analysis and Prediction)
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Agenda
Introduction
Emotional Intelligence and its Influence on Intelligent Systems
Multi-agent Intelligent System for Emotion Recognition
Conclusions
10/14Emotional Intelligence and Agents – Survey and Possible Applications - WIMS'14, June 2-4, 2014, Thessaloniki, Greece
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Multi-agent Intelligent System for Emotion Recognition
Concrete research topics - 1. Emotion Detection in Human Speech
The voice characteristics and emotion expression of human speech are detectable in sound data (various aspects of telephone services).
To improve customer experience, two major problems are faced: customer emotions are delayed and hard to detect; and the lack of an effective problem-solving strategy for different cases of customer emotional response.
- The first phase of our research is acquisition and preparation of data in Chinese and English, and development of a prototype system that can detect emotional content and intensity in recorded voice data.
- The second problem is based on application of techniques involving emotional agents: simulation of various scenarios of voice interaction.
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Multi-agent Intelligent System for Emotion Recognition
Concrete research topics - 2. Emotion Detection in Online Documents
Agent technology will be employed to perform distributed emotion detection in online documents: blogs, discussion forums, social networks, news that report on emergency events, etc.
Two types of agents will be developed: harvester and analyst. Harvester agents will scan the web in search of documents
that meet the given criteria. Analyst agents will perform text analysis in a distributed
setting.
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Agenda
Introduction
Emotional Intelligence and its Influence on Intelligent Systems
Multi-agent Intelligent System for Emotion Recognition
Conclusions
13/14Emotional Intelligence and Agents – Survey and Possible Applications - WIMS'14, June 2-4, 2014, Thessaloniki, Greece
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Conclusions
Emotion modeling is expected to have an interesting and important role in the next generation man-machine interactive systems.
It can be realized by modeling both input and output parameters of the interactive system.
- Visual expression of the input-user-interface (laughter, cry, other forms of facial manifestation) can be regarded as input to the computers.
- Emotional expression of a computer can be realized by synthesizing emotions either on the video display unit or on an artificial emotional creature.
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