Shifting Valence Helps Verify Contextual Appropriateness of Emotions
نویسندگان
چکیده
This paper presents a method for estimating contextual appropriateness of speaker’s emotions, supported with the analysis of Contextual Valence Shifters (CVS), which determine the semantic orientation of the valence of emotive expressions. In the proposed method a Web mining technique is used to verify the contextual appropriateness of the emotions recognized by a system for affect analysis supported with CVS. A conversational agent equipped with this system can choose an appropriate conversational procedure. The proposed method is evaluated using two conversational agents. The use of CVS has shown an improvement in the method.
منابع مشابه
Contextual affect analysis: a system for verification of emotion appropriateness supported with Contextual Valence Shifters
This paper presents a novel method for estimating speaker’s affective states based on two contextual features: valence shifters and appropriateness. Firstly, a system for affect analysis is used to recognise specific types of emotions. We improve the baseline system with the analysis of Contextual Valence Shifters (CVS), which determine the semantic orientation of emotive expressions. Secondly,...
متن کاملTowards Context Aware Emotional Intelligence in Machines: Computing Contextual Appropriateness of Affective States
This paper presents a novel approach to the estimation of user’s affective states in Human-Computer Interaction. Most of the present approaches divide emotions strictly between positive or negative. However, recent discoveries in the field of Emotional Intelligence show that emotions should be rather perceived as context-sensitive engagements with the world. This leads to a need to specify whet...
متن کاملTowards Computational Fronesis: Verifying Contextual Appropriateness of Emotions
This paper presents research in Contextual Affect Analysis (CAA) for the need of future application in intelligent agents, such as conversational agents or artificial tutors. The authors propose a new term, Computational Fronesis (CF), to embrace the tasks included in CAA applied to development of conversational agents such as artificial tutors. In tutor-student discourse it is crucial that the...
متن کاملThe Pursuit of Happiness in Music: Retrieving Valence with Contextual Music Descriptors
In the study of music emotions, Valence is usually referred to as one of the dimensions of the circumplex model of emotions that describes music appraisal of happiness, whose scale goes from sad to happy. Nevertheless, related literature shows that Valence is known as being particularly difficult to be predicted by a computational model. As Valence is a contextual music feature, it is assumed h...
متن کاملThe Knowledge Required to Interpret Noun Compounds
This paper presents a novel approach to the estimation of user’s affective states in Human-Computer Interaction. Most of the present approaches divide emotions strictly between positive or negative. However, recent discoveries in the field of Emotional Intelligence show that emotions should be rather perceived as context-sensitive engagements with the world. This leads to a need to specify whet...
متن کامل