AFFECTIVE COMPUTING: A COMPREHENSIVE OVERVIEW OF APPROACHES AND ETHICAL IMPLICATIONS FOR EMOTION RECOGNITION

Author Name: 1. Mafas Raheem 2. Satwik Gawand

Volume/Issue: 03/11

Country: Malasiya

DOI NO.: 08.2020-25662434 DOI Link: https://www.doi-ds.org/doilink/05.2023-39437117/UIJIR

Affiliation:

School of Computing, Asia Pacific University of Technology and Innovation, Kuala Lumpur, Malaysia

ABSTRACT

It is not an overstatement to say that we are living in the age of Artificial Intelligence with new developments and advancements happening at a precipitous speed. While Artificial Intelligence accomplishes amazing feats and becomes more ‘human-like’, emotions are one of the aspects maintaining the distinction even now. Tremendous interest, understanding and growth have been acquired in emotion recognition whereas affective computing is still considered an old concept. This paper explores the concepts and studies around Affective Computing such as the understanding of emotions and different models that view how emotions can be defined and recognized as well as various ways of implementation like sentiment analysis, facial emotion recognition, and speech analysis. To conclude, the paper goes over the most critical considerations in affective computing and the ethical implications of emotion recognition systems that can have a significant impact on the lives of people.

Key words: Affective Computing, Emotion AI & Models, Facial Emotion Recognition, Sentiment Analysis, Speech Analysis