Affective Information Processing by Jianhua Tao, Tieniu Tan

By Jianhua Tao, Tieniu Tan

Affective info processing is meant to offer pcs the human-like functions of statement, interpretation and new release of impact beneficial properties. it's crucial for average and potent human-computer interplay and has turn into a truly scorching examine topic.

This cutting-edge quantity discusses the most recent advancements in affective details processing, and summarises the foremost applied sciences researched, comparable to facial features attractiveness, face animation, emotional speech synthesis, clever brokers, and digital truth. The certain and obtainable assurance contains a wide selection of themes, together with parts which glance to problem and enhance present learn. The ebook is organised into the next themed components to assist the readers of their realizing of the sector: Cognitive Emotion version, have an effect on in Speech, have an effect on in Face and have an effect on in Multimodal Interaction.

Topics and Features:

• stories at the state of the art study in affective info processing

• Summarises key applied sciences researched over the last few years, similar to affective speech processing, affective facial expressions, affective physique gesture and move, affective multi-modal structures, etc.

• deals a foundational introductory bankruptcy that grounds readers in middle recommendations and principles

• Discusses functions of this know-how, resembling in schooling opposed to bullying

• offers summarising conclusions throughout

• Describes impact in multimodal information

• seems at cognitive emotion modelling in usual language communication

• Explores emotion notion and popularity from speech, and in response to multimodal information

• contains face animation in keeping with a wide audio-visual database

• provides physiological sensing for affective computing

• Examines evolutionary expression of feelings in digital people utilizing lighting fixtures and pixels

Written to supply a chance for scientists, engineers and graduate scholars to discover the problems, suggestions and applied sciences during this fascinating new quarter, this ground-breaking ebook offers a finished review and important perception into the sector and may end up a helpful reference software and resource.

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Extra resources for Affective Information Processing

Example text

G. (1996). Reasoning the fast and frugal way: Models of bounded rationality. Psychological Review, 103(4): 650–669. Goldie, P. (2008). Misleading emotions. In D. G. Brun, U. Doguolu, & D. ), Epistemology and emotions, Ashgate, University of Z¨urich, Switzerland. , & Marsella, S. (2001). Tears and fears: Modelling emotions and emotional behaviors in synthetic agents. In Proceedings of the 5th International Conference on Autonomous Agents (pp. 278–285). New York: ACM Press. Harmon Jones, E. (2000).

Finally, DDNs (Russell & Norvig, 1995) extend DBNs to provide a mechanism for making rational decisions by combining probability and utility theory within changing environments: in addition to nodes representing discrete random variables over time, the networks contain utility and decision nodes. In the following, the power of DBNs in representing the dynamic arousal, evolution, and disappearing of emotions is discussed, together with the way these phenomena are influenced by personality factors and social context.

Festinger’s theory, subsequently elaborated by Harmon Jones (2000), was focused on the study of the (negative) emotions that result from becoming aware of a state of cognitive dissonance, and on how these negative effects can be reduced. In the context of this chapter, this theory is evoked in order to highlight that influential psychological theories exist, according to which the human mind cannot be assumed to be internally consistent. And this problem should not be ignored in building computational models of emotion activation, irrespective of the formalism employed.

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