Summary of Gpt As Psychologist? Preliminary Evaluations For Gpt-4v on Visual Affective Computing, by Hao Lu et al.
GPT as Psychologist? Preliminary Evaluations for GPT-4V on Visual Affective Computing
by Hao Lu, Xuesong Niu, Jiyao Wang, Yin Wang, Qingyong Hu, Jiaqi Tang, Yuting Zhang, Kaishen Yuan, Bin Huang, Zitong Yu, Dengbo He, Shuiguang Deng, Hao Chen, Yingcong Chen, Shiguang Shan
First submitted to arxiv on: 9 Mar 2024
Categories
- Main: Computer Vision and Pattern Recognition (cs.CV)
- Secondary: Artificial Intelligence (cs.AI)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary The abstract discusses the application of multimodal large language models (MLLMs) in affective computing, which involves processing and integrating information from various sources to recognize human emotions. The paper assesses the performance of MLLMs in five critical abilities for affective computing, including visual affective tasks and reasoning tasks. Notably, GPT has high accuracy in facial action unit recognition and micro-expression detection but struggles with general facial expression recognition. The results highlight the challenges of achieving fine-grained micro-expression recognition and demonstrate the potential of GPT for handling advanced tasks in emotion recognition by integrating with task-related agents. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary The paper explores how multimodal language models can be used to understand human emotions better. It tests these models on five important tasks that involve recognizing facial expressions, detecting subtle changes in expression, and understanding reasons behind emotional responses. The results show that the model is good at recognizing certain types of facial movements but struggles with more general expressions. This research highlights the challenges and potential applications of using language models to understand human emotions. |
Keywords
» Artificial intelligence » Gpt
