Automatic multimodal assessment of soft skills in social interactions: a review

被引：10
作者：
Rasipuram, Sowmya [1 ]
Jayagopi, Dinesh Babu [1 ]
机构：
[1] Int Inst Informat Technol, Bangalore, Karnataka, India
来源：
MULTIMEDIA TOOLS AND APPLICATIONS | 2020年 / 79卷 / 19-20期
关键词：
Automatic assessment; Interface-based interviews; Face-to-face interviews; Group conversations; Perceptual computing; Machine learning; THIN SLICES; EMERGENT LEADERS; PERSONALITY; DOMINANCE; SPEAKING; VIDEOCONFERENCE; INTERVIEW; BEHAVIOR;
D O I：
10.1007/s11042-019-08561-6
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Automatic assessment of soft skills is an interesting problem in social computing. Soft skills are essential to any individual for personal and career development. Soft skills assessment includes Big Five personality, social and communication skill and leadership skill can now be enabled using behavior tracking and mapping behavior to perception. Such assessments can be used for manpower selection and training. This paper reviews the existing literature on automatic analysis of social interactions for soft skill assessment in different contexts. A variety of social situations offline and online methods are considered for assessment. Offline methods include traditional forms of discussion without any technology mediation. Online methods utilize technology for scalability and alleviate the assessment process without collocation of multiple parties. We address some of the challenges that are still open in the field.
引用
收藏
页码：13037 / 13060
页数：24
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