Explaining First Impressions: Modeling, Recognizing, and Explaining Apparent Personality from Videos

感知还是偏见：大语言模型能否超越个性的第一印象？

Perception or Prejudice: Can MLLMs Go Beyond First Impressions of Personality?

本文探讨了多模态大语言模型（MLLMs）在感知个性方面的能力，提出了一种新的任务Grounded Personality Reasoning（GPR），并构建了一个新的数据集MM-OCEAN，通过三重评估体系揭示了MLLMs在人格推理中的偏见问题。

Multimodal Video-based Apparent Personality Recognition Using Long Short-Term Memory and Convolutional Neural Networks

Personality computing and affective computing, where the recognition of personality traits is essential, have gained increasing interest and attention in many research areas recently. We propose a novel approach to recognize the Big Five personality traits of people from videos. Personality and emotion affect the speaking style, facial expressions, body movements, and linguistic factors in social contexts, and they are affected by environmental elements. We develop a multimodal system to recognize apparent personality based on various modalities such as the face, environment, audio, and transc…

What your Facebook Profile Picture Reveals about your Personality

People spend considerable effort managing the impressions they give others. Social psychologists have shown that people manage these impressions differently depending upon their personality. Facebook and other social media provide a new forum for this fundamental process; hence, understanding people's behaviour on social media could provide interesting insights on their personality. In this paper we investigate automatic personality recognition from Facebook profile pictures. We analyze the effectiveness of four families of visual features and we discuss some human interpretable patterns that …

Predicting First Impressions with Deep Learning

Describable visual facial attributes are now commonplace in human biometrics and affective computing, with existing algorithms even reaching a sufficient point of maturity for placement into commercial products. These algorithms model objective facets of facial appearance, such as hair and eye color, expression, and aspects of the geometry of the face. A natural extension, which has not been studied to any great extent thus far, is the ability to model subjective attributes that are assigned to a face based purely on visual judgements. For instance, with just a glance, our first impression of …

Person Perception Biases Exposed: Revisiting the First Impressions Dataset

This work revisits the ChaLearn First Impressions database, annotated for personality perception using pairwise comparisons via crowdsourcing. We analyse for the first time the original pairwise annotations, and reveal existing person perception biases associated to perceived attributes like gender, ethnicity, age and face attractiveness. We show how person perception bias can influence data labelling of a subjective task, which has received little attention from the computer vision and machine learning communities by now. We further show that the mechanism used to convert pairwise annotations…

大五人格与HEXACO的联合建模用于多模态外显人格特质识别

Joint Modeling of Big Five and HEXACO for Multimodal Apparent Personality-trait Recognition

本文提出联合建模大五人格与HEXACO的多模态外显人格特质识别方法，通过联合优化提升识别效果，并在自我介绍视频数据集上验证了有效性。

一眼识你：从面部推断表面人格

Knowing You at First Glance: Inferring Apparent Personality from Faces

研究从面部图像推断表面人格，提出GlanceFace框架，利用视觉语言模型、语义增强模块及不确定性感知学习策略，在基于MBTI的基准测试中表现出色，揭示面部特征与人格特质关系，助力具身智能体交互策略。