# First Impressions: A Survey on Vision-Based Apparent Personality Trait Analysis

arXiv: https://arxiv.org/abs/1804.08046 · HTML: https://mlsanity.com/paper/1804.08046/

## Key facts

- Cited by 14 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 21 Apr 2018.

## Built on by (most cited first, 14 of 14)

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- [Co-Located Human-Human Interaction Analysis using Nonverbal Cues: A Survey](https://mlsanity.com/paper/2207.10574/) (2022)
- [A Survey of Personality, Persona, and Profile in Conversational Agents and Chatbots](https://mlsanity.com/paper/2401.00609/) (2023)
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- [Boosting Team Modeling through Tempo-Relational Representation Learning](https://mlsanity.com/paper/2507.13305/) (2025)
- [Explainable Human-centered Traits from Head Motion and Facial Expression Dynamics](https://mlsanity.com/paper/2302.09817/) (2023)
- [Twenty Years of Personality Computing: Threats, Challenges and Future Directions](https://mlsanity.com/paper/2503.02082/) (2025)
- [Traits Run Deep: Enhancing Personality Assessment via Psychology-Guided LLM Representations and Multimodal Apparent Behaviors](https://mlsanity.com/paper/2507.22367/) (2025)
- [Enhancing Apparent Personality Trait Analysis with Cross-Modal Embeddings](https://mlsanity.com/paper/2405.03846/) (2024)
- [Multi-modal expressive personality recognition in data non-ideal audiovisual based on multi-scale feature enhancement and modal augment](https://mlsanity.com/paper/2503.06108/) (2025)
- [Frozen Multimodal Embeddings for AI-Assisted Interview Assessment of Personality and Cognitive Ability](https://mlsanity.com/paper/2606.11930/) (2026)

## Abstract (arXiv)

Personality analysis has been widely studied in psychology, neuropsychology, and signal processing fields, among others. From the past few years, it also became an attractive research area in visual computing. From the computational point of view, by far speech and text have been the most considered cues of information for analyzing personality. However, recently there has been an increasing interest from the computer vision community in analyzing personality from visual data. Recent computer vision approaches are able to accurately analyze human faces, body postures and behaviors, and use these information to infer apparent personality traits. Because of the overwhelming research interest in this topic, and of the potential impact that this sort of methods could have in society, we present in this paper an up-to-date review of existing vision-based approaches for apparent personality trait recognition. We describe seminal and cutting edge works on the subject, discussing and comparing their distinctive features and limitations. Future venues of research in the field are identified and discussed. Furthermore, aspects on the subjectivity in data labeling/evaluation, as well as current datasets and challenges organized to push the research on the field are reviewed.