Multidimensional Emotional Appraisal Semantic Space (MEAS): Evaluating HM Affective Interactions

Authors:
Maria Rita Ciceri;Stefania Balzarotti
Affiliations:
Laboratory of Communication Psychology, University Cattolica del Sacro Cuore, Largo Gemelli 1, 20123 Milano, Italy;Laboratory of Communication Psychology, University Cattolica del Sacro Cuore, Largo Gemelli 1, 20123 Milano, Italy
Venue:
KES '07 Knowledge-Based Intelligent Information and Engineering Systems and the XVII Italian Workshop on Neural Networks on Proceedings of the 11th International Conference
Year:
2007

Citing 10
Cited 0

Affective computing

Affective computing
Tears and fears: modeling emotions and emotional behaviors in synthetic agents

Proceedings of the fifth international conference on Autonomous agents
Toward Machine Emotional Intelligence: Analysis of Affective Physiological State

IEEE Transactions on Pattern Analysis and Machine Intelligence - Graph Algorithms and Computer Vision
How Convincing is Mr. Data's Smile: Affective Expressions of Machines

User Modeling and User-Adapted Interaction
Modeling Multimodal Expression of User's Affective Subjective Experience

User Modeling and User-Adapted Interaction
Personality, Affect and Emotion Taxonomy for Socially Intelligent Agents

Proceedings of the Fifteenth International Florida Artificial Intelligence Research Society Conference
Developing multimodal intelligent affective interfaces for tele-home health care

International Journal of Human-Computer Studies - Application of affective computing in human—Computer interaction
An Affective Model of Interplay between Emotions and Learning: Reengineering Educational Pedagogy-Building a Learning Companion

ICALT '01 Proceedings of the IEEE International Conference on Advanced Learning Technologies
Sociable machines: expressive social exchange between humans and robots

Sociable machines: expressive social exchange between humans and robots
A social informatics approach to human-robot interaction with a service social robot

IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews

Quantified Score

Hi-index	0.00

Visualization

Abstract

In this paper we'll present a dimensional semantic model of emotion locating the former in a four axes space in the attempt to quantify emotion considered as constantly changing with time rather than to label it. The Multidimensional Emotional Appraisal Semantic Space (MEAS) is a method according to which the most relevant features to measure emotions are: a dimensional approach to emotion, the multimodality of expressive signals and the embodied nature of the emotional interaction. Four dimensions have been selected: novelty, pleasantness, coping and arousal. The componential organization all these different levels gives birth to multiple and fuzzy emotional experiences that are in part signalled through patterns of non verbal expression and that can change their intensity in relation to the relevance of the event for the individual and in relation to the arousal given by physiological signals.