Xiaoxiao Cheng – författare

Human-Machine Interfaces in Medical Robotics presents essential and advanced information on developing intuitive human-machine interfaces (HMI) for robotic surgery and rehabilitation. This book provides extensive coverage of multidisciplinary information needed to develop efficient HMI, discussing core technologies of the field, including hand-free control strategies, sensory feedback, data-driven approaches, human-robot shared control, autonomous control, human motor adaption, training, and learning.Arranged in three parts, including interfaces in medical robotics, intelligent machines, and human users, this book provides potential solutions to open questions like what the optimal interface and efficient interaction mode is to facilitate a surgeon’s operation, a patient’s motor control, or human augmentation.

Focusing on a decade of controversy surrounding genetically modified organisms (GMOs) in China, this book provides a rigorous, mixed-method analysis of how risk discourses are constructed and disseminated on the social media platform Weibo.

This book uncovers the rich diversity of competing risk frames and reveals how digital platforms can democratize the negotiation of scientific uncertainty, yet also fragment public deliberation and discussion, leading to the reinforcement of new power dynamics and discursive inequalities. Breaking down the mechanisms behind the viral spread of GMO risk information, it examines how message features, contextual factors (e.g., source credibility), network structures, and social contagion processes shape what we believe and share. Ultimately, it will advance a deeper understanding of digital risk communication in increasingly platform-mediated societies.

It is an essential resource for science policymakers, risk communication professionals, and other stakeholders seeking to navigate the complexities of risk and uncertainty in the digital age.

Focusing on a decade of controversy surrounding genetically modified organisms (GMOs) in China, this book provides a rigorous, mixed-method analysis of how risk discourses are constructed and disseminated on the social media platform Weibo.

This book uncovers the rich diversity of competing risk frames and reveals how digital platforms can democratize the negotiation of scientific uncertainty, yet also fragment public deliberation and discussion, leading to the reinforcement of new power dynamics and discursive inequalities. Breaking down the mechanisms behind the viral spread of GMO risk information, it examines how message features, contextual factors (e.g., source credibility), network structures, and social contagion processes shape what we believe and share. Ultimately, it will advance a deeper understanding of digital risk communication in increasingly platform-mediated societies.

It is an essential resource for science policymakers, risk communication professionals, and other stakeholders seeking to navigate the complexities of risk and uncertainty in the digital age.