Expanding the Interaction Bandwidth between Human and Machine

Speaker:  Xiangmin Fan – Beijing, China
Topic(s):  Human Computer Interaction

Abstract

Human-Computer Interaction (HCI) is essentially about the two-way communication between humans and computers. However, it is challenging to keep the information flow balanced between such communications via traditional graphical user interfaces. The increasing computational power of computers make it possible to generate and output vast amounts of data. On the other side, computers understand users through only analyzing users’ explicit and discrete interactive behaviors. Systems still have a limited ability to detect the full spectrum of information that is naturally and effortlessly generated by users. The lack of such information makes it difficult to dynamically adapt to users and achieve user-centric computing. 

In this lecture, I will talk about some recent work for expanding the interaction bandwidth between human and machine. These works explore and investigate the relationship between human's existing interactive behaviors, physiological signals and their physical functions, as well as cognitive and affective states. Key techniques cover signal processing, multi-modal information fusion and implicit perception of user intentions. Moreover, I will discuss design principles of interface interventions and adaptations based on such implicit input from users. Finally, I will share some examples of how we apply these systems in education and healthcare domains. 

About this Lecture

Number of Slides:  72
Duration:  50 minutes
Languages Available:  English
Last Updated: 

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