Evaluating affective interactions: Alternatives to asking what users feel

Rosalind W. Picard · Shaundra Bryant Daily

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Emotion and Mood Recognition Social Robot Interaction and HRI Innovative Human-Technology Interaction

Abstract

In this paper, we advocate the use of behavior-based methods for use in evaluating affective interactions. We consider behavior-based measures to include both measures of bodily movements or physiological signals and task-based performance measures.

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References

1987Positive affect facilitates creative problem solving.2001Emotion recognition in human-computer interaction 2001Toward machine emotional intelligence: analysis of affective physiological state 1996Acoustic profiles in vocal emotion expression.2004Heart Strings and Purse Strings 1999Measuring facial expressions by computer image analysis 2002Prosody-based automatic detection of annoyance and frustration in human-computer dialog 2002Facial emotion recognition using multi-modal information

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2008Affective Characterization of Movie Scenes Based on Multimedia Content Analysis and User's Physiological Emotional Responses 2013Emotion recognition and its application in software engineering 2008Affective ranking of movie scenes using physiological signals and content analysis 2008Influence of contextual information in emotion annotation for spoken dialogue systems 2009AFFECTIVE CHARACTERIZATION OF MOVIE SCENES BASED ON CONTENT ANALYSIS AND PHYSIOLOGICAL CHANGES

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