Advances in machine learning technology have enabled real-time extraction of semantic information signals which can revolutionize signal processing techniques and improve their performance significantly for the next generation applications. With objective a concrete representation efficient information, we propose demonstrate formal graph-based language goal filtering method that enables goal-o...

Recent work in human-computer interaction has explored the use of conversational agents as facilitators for group goal-oriented discussions. Inspired by this and apparent lack tooling available to support it, we created Diplomat, a Python-based framework building agent facilitators. Diplomat is designed simple specification functionality well customizable integration with online chat services. ...

Taking inspiration from linguistics, the communications theoretical community has recently shown a significant recent interest in pragmatic , or goal-oriented, communication. In this paper, we tackle problem of pragmatic communication with multiple clients different, and potentially conflicting...

Guangshan Zhu received his BSc (1993) and PhD (1998) degrees in chemistry from Jilin University. He is now a full professor at Northeast Normal Driven by the demands sustainable energy environments, current research interest focuses on design synthesis of porous aromatic frameworks for gas adsorption, separation, uranium capture. The utilization nuclear power mature technology with high capacit...

Emotions are important in product experiences. Besides utilitarian aspects interacting with technological products, recent research has focused on hedonic and affective of interaction. Designing unexpected features evoking surprise proven to be advantageous for user interaction experience. Especially, classical design surprising the is an efficient strategy create pleasurable products. However,...