Enguo Cao | Health Professions | Best Researcher Award

Prof Dr Enguo Cao, Jiangnan University, China

Prof. Cao Enguo 🧑‍🏫 is a distinguished professor and doctoral supervisor at Jiangnan University, China. With a Ph.D. from Japan, he leads the Intelligent Interaction Design Laboratory and serves as deputy director of the Key Laboratory of China Light Industry. His research focuses on intelligent product design and human biomimetic interaction, resulting in over 30 papers and 20+ patents. He has led numerous research projects, including grants from the National Natural Science Foundation of China. Prof. Cao has earned several accolades, including the Yoneyama Rotary Memorial Award and the title of “Top Six Talent Peaks” in Jiangsu Province. 🌟🔬📚

Publication profile

Scopus

Research Interests

Intelligent Interaction System Design focuses on creating advanced systems that enhance user experiences through smart and responsive technology. This field encompasses the development of interactive interfaces that adapt to user needs, leveraging artificial intelligence and machine learning to offer intuitive and personalized interactions. The goal is to build systems that not only respond to user inputs but also predict and adapt to their preferences, providing a seamless and engaging experience. Such designs are pivotal in various applications, from smart home devices to sophisticated customer service bots, aiming to make technology more accessible and user-friendly.

Research focus

Dr. Enguo Cao’s research primarily focuses on wearable health devices, exoskeleton design, and user experience in robotics. His work includes designing and evaluating various types of exoskeletons for rehabilitation and mobility enhancement, such as passive lower limb exoskeletons and multi-resiliency models. He also explores the integration of emotional and social factors into user experience, aiming to improve interaction with automated systems and devices. His contributions include studies on the physiological effects of exoskeletons during physical activities and data-driven frameworks for predicting user expectations. His research is crucial for advancing assistive technologies and enhancing their practical application. 🤖🦵📊

Publication top notes

User Experience & Usability of Wearable Health Device: A Bibliometric Analysis of 2014–2023

Multi-motion Compound Passive Lower Limb Exoskeleton Design and Its Intelligent Interaction Evaluation 

Design and evaluation of a double rope rehabilitation robot for sit-to-stand training

Exploring the Positive User Experience Possibilities Based on Produc

Design of a multi-resiliency exoskeleton and its physiologic cost evaluation in uphill walking and stair climbing locomotion

A Data-Driven Expectation Prediction Framework Based on Social Exchange Theory

Design and performance evaluation of gravitational potential energy locking exoskeleton 

Design of cyber-physical-social systems with forensic-awareness based on deep learning

Design and optimization of a passive exoskeleton mechanical foot