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The good, the bad and the neutral: affective profile in dialog system-user communication

TLDR
Experimental results show that the system's affective profile determines the rating of chatting enjoyment and user-system emotional connection to a large extent and self-reported emotional changes experienced by participants during an interaction with the system are strongly correlated with the type of applied profile.
Abstract
We describe the use of affective profiles in a dialog system and its effect on participants' perception of conversational partners and experienced emotional changes in an experimental setting, as well as the mechanisms for realising three different affective profiles and for steering task-oriented follow-up dialogs. Experimental results show that the system's affective profile determines the rating of chatting enjoyment and user-system emotional connection to a large extent. Self-reported emotional changes experienced by participants during an interaction with the system are also strongly correlated with the type of applied profile. Perception of core capabilities of the system, realism and coherence of dialog, are only influenced to a limited extent.

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Proceedings Article

Emotional Chatting Machine: Emotional Conversation Generation with Internal and External Memory

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Development of Multimodal Interfaces: Active Listening and Synchrony: Second Cost 2102 International Training School Dublin, Ireland, March 23-27, 2009

TL;DR: This volume brings together, through a peer-revision process, the advanced research results obtained by the European COST Action 2102: Cross-Modal Analysis of Verbal and Nonverbal Communication, primarily discussed for the first time at the Second COST 2102 International Training School on “Development of Multimodal Interfaces: Active Listening and Synchrony” held in Dublin, Ireland, March 23–27 2009.
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Gender bias in sentiment analysis

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Co-Evolutionary Mechanisms of Emotional Bursts in Online Social Dynamics and Networks

TL;DR: It was found that, in its own way, each mechanism leads to a reduced phase space of the emotion components when the collective dynamics takes place, and that a non-additive entropy describes emotion dynamics.
References
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Book

The Measurement of Meaning

TL;DR: In this article, the authors deal with the nature and theory of meaning and present a new, objective method for its measurement which they call the semantic differential, which can be adapted to a wide variety of problems in such areas as clinical psychology, social psychology, linguistics, mass communications, esthetics, and political science.
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TL;DR: The Expression of the Emotions in Man and Animals Introduction to the First Edition and Discussion Index, by Phillip Prodger and Paul Ekman.
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TL;DR: Reanalyses of a number of studies of self-reported mood indicate that Positive and Negative Affect consistently emerge as the first two Varimax rotated dimensions in orthogonal factor analyses or as thefirst two second-order factors derived from oblique solutions.
Journal ArticleDOI

Constants across cultures in the face and emotion

TL;DR: Evidence is provided that members of a preliterate culture who had minimal exposure to literate cultures would associate the same emotion concepts with the same facial behaviors as do members of Western and Eastern literates.

Affective Norms for English Words (ANEW): Instruction Manual and Affective Ratings

TL;DR: For example, the authors found that depressed individuals recall fewer positive words than did their taken from the Affective Norms for English (ANEW) for English words, while positive words recall more positive words.
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