Applying appraisal to detect emotions in a real-world, multi-tasking empathic space
Date of Publication
2012
Document Type
Master's Thesis
Degree Name
Master of Science in Computer Science
College
College of Computer Studies
Department/Unit
Computer Science
Abstract/Summary
This paper investigates the use of appraisals in a real-world, multi-tasking environment such as an empathic space. While several appraisal models exist which prove successful in determining a persons affect, they have not been applied to a real-world living environment where emotion is highly influenced by an individuals goals and activities. In this research, a computational model of appraisal is proposed which makes use of knowledge-driven rules and data-centric probabilities to map activities into two-dimensional arousal-valence values. Specifically, affect is derived using seven appraisal variables from Scherer which are suddenness, intrinsic pleasant- ness, goal relevance, unpredictability, outcome probability, discrepancy from expectation, and goal conduciveness. Evaluations were conducted based on the corpus built with 4 occupants engaged in their normal daily activities. The system gained an average correlation coefficient (CC) of 0.7302 and a root mean squared error (RMSE) of 0.0575 for predicting arousal, while it yielded a perfect CC and RMSE for valence. Further experiments revealed the high correlation of the appraisal variables suddenness and intrinsic pleasantness to the arousal dimension.
Abstract Format
html
Language
English
Format
Accession Number
TG05220
Shelf Location
Archives, The Learning Commons, 12F Henry Sy Sr. Hall
Physical Description
1 v. (various foliations) ; 28 cm. + 1 computer optical disc.
Keywords
Emotion recognition; Emotions
Recommended Citation
Chuacokiong, M. (2012). Applying appraisal to detect emotions in a real-world, multi-tasking empathic space. Retrieved from https://animorepository.dlsu.edu.ph/etd_masteral/4273
