Experimental Study on Abstract Expression of Human-Robot Emotional Communication

Author:

Wang Jianmin,Wang Yuxi,Liu YujiaORCID,Yue Tianyang,Wang Chengji,Yang Weiguang,Hansen PrebenORCID,You Fang

Abstract

With the continuous development of intelligent product interaction technology, the facial expression design of virtual images on the interactive interface of intelligent products has become an important research topic. Based on the current research on facial expression design of existing intelligent products, we symmetrically mapped the PAD (pleasure–arousal–dominance) emotion value to the image design, explored the characteristics of abstract expressions and the principles of expression design, and evaluated them experimentally. In this study, the experiment of PAD scores was conducted on the emotion expression design of abstract expressions, and the data results were analyzed to iterate the expression design. The experimental results show that PAD values can effectively guide designers in expression design. Meanwhile, the efficiency and recognition accuracy of human communication with abstract expression design can be improved by facial auxiliary elements and eyebrows.

Publisher

MDPI AG

Subject

Physics and Astronomy (miscellaneous),General Mathematics,Chemistry (miscellaneous),Computer Science (miscellaneous)

Cited by 7 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Design of an Immersive Virtual Reality Framework to Enhance the Sense of Agency Using Affective Computing Technologies;Applied Sciences;2023-12-17

2. Adaptive Fusion Attention Network for Facial Expression Recognition;2023 12th International Conference on Computing and Pattern Recognition;2023-10-27

3. Exploring the Design Space of Extra-Linguistic Expression for Robots;Proceedings of the 2023 ACM Designing Interactive Systems Conference;2023-07-10

4. Applying Self-Assessment Manikin (SAM) to Evaluate the Emotional Responses to the Service Robot Feature;2023 8th International Conference on Business and Industrial Research (ICBIR);2023-05-18

5. Fine-Tuning Swin Transformer and Multiple Weights Optimality-Seeking for Facial Expression Recognition;IEEE Access;2023

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