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

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Title: Vision and Audio-based Methods for First Impression Recognition Using Machine Learning Algorithms: A Review.
Authors: Mushtaq, Sumiya1 (AUTHOR) sumiya7.mushtaq@gmail.com, Kumar, Neerendra1 (AUTHOR) neerendra.csit@cujammu.ac.in, Singh, Yashwant1 (AUTHOR) yashwant.csit@cujammu.ac.in, Singh, Pradeep Kumar2 (AUTHOR) pradeep 84cs@yahoo.com
Source: International Journal on Artificial Intelligence Tools. Mar2023, Vol. 32 Issue 2, p1-48. 48p.
Subjects: Machine learning, Personality assessment, Helping behavior, Personality
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. [ABSTRACT FROM AUTHOR]
Copyright of International Journal on Artificial Intelligence Tools is the property of World Scientific Publishing Company and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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  Data: <searchLink fieldCode="JN" term="%22International+Journal+on+Artificial+Intelligence+Tools%22">International Journal on Artificial Intelligence Tools</searchLink>. Mar2023, Vol. 32 Issue 2, p1-48. 48p.
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  Data: <searchLink fieldCode="DE" term="%22Machine+learning%22">Machine learning</searchLink><br /><searchLink fieldCode="DE" term="%22Personality+assessment%22">Personality assessment</searchLink><br /><searchLink fieldCode="DE" term="%22Helping+behavior%22">Helping behavior</searchLink><br /><searchLink fieldCode="DE" term="%22Personality%22">Personality</searchLink>
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  Data: 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. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of International Journal on Artificial Intelligence Tools is the property of World Scientific Publishing Company and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=162916273
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        Value: 10.1142/S0218213023400109
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      – Code: eng
        Text: English
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        PageCount: 48
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        Type: general
      – SubjectFull: Personality assessment
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      – SubjectFull: Helping behavior
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      – SubjectFull: Personality
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            – D: 01
              M: 03
              Text: Mar2023
              Type: published
              Y: 2023
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