Vision and Audio-based Methods for First Impression Recognition Using Machine Learning Algorithms: A Review

Abstract

Personality is a psychological construct that embodies the unique characteristics of an individual. Automatic personality computing enables the assessment of personality elements with the help of machines. Over the last few decades, a lot of researchers have focussed on computing aspects of personality, emotions, and behavior with the help of machine learning. Efficient personality recognition using machine learning can provide inroads to almost every field of human advancement. However, we found out there are not enough good surveys to consolidate the progress of the growing field. In our effort, we have taken a sub-field of personality computation known as apparent personality perception or First Impressions. In addition to providing an exhaustive compilation of available First Impression research, we have classified the existing literature according to the data modalities and machine learning techniques they have utilized. Our work also lists various limitations and gaps within the existing literary works with possible measures to address them. The paper concludes with our comments on the future work in the field of first impressions.