The IEEE SMC 2022 workshop on “NeuroDesign in Human-Robot Interaction: The making of engaging HRI technology your brain can’t resist” provides a mind-blowing, all-in-one forum to address the issues of how to transform HRI-related lab researches into practical consumer applications by using neuroscience and behavioral psychology principles and/or approaches, such that the designed human-robot interaction strategies would be so attractive and engaging which comply to our brain’s neural perception and cognitive processes, and

therefore to overcome the barriers of social adoptions of using robots in every corner of our society.

The NeuroDesign lies at the intersection of applied neuroscience, cognitive science, psychology, in conjunction with machine learning and design thinking methodologies, to produce better customer experience and engagement in HRI. This workshop will provide a series of lectures from the latest advancement of HRI and Neuro/Brain-technology research to the design thinking and brain-centric product development, as well as the commercialization strategies specifically tailored to the HRI & Neurotech products to solve the real-world problems. The topics will cover: (1) How to use neuroscience research tools such as fMRI, EEG and fNIRS to understand the brain functions underlying specific HRI strategy, and how the design thinking could help us modify the interaction dynamics between brain and machines. (2) The insights gained from the iterative developmental process may help us design better human, brain and machine input/output (I/O) interfaces which could merge human and robot symbiotically in a closed-loop system. We will discuss the design of invasive or non-invasive interfaces by using smart wearables, exoskeleton robots, or implant devices to observe brainwave, physiological signals and/or mechanical movement of our body; electrical-magnetic neurofeedback devices (tDCS, tMS, NMES, etc.) to stimulate the brain or muscular peripheral nerves in order to regulate the human emotional and behavioral states. (3) We will also focus on the hardware and software co-design that weaves the optimal machine learning/AI algorithms into the fabric of better user experience (especially the best brain’s experience in perception and cognition).