NTCIR

As AI technology increasingly integrates into our daily lives, the need for systems that are not only functional but also deeply attuned to human users becomes paramount. This talk will explore human-centered AI, a design approach that emphasizes user-centric systems by leveraging insights from psychology and data collected through advanced sensing technologies. By understanding cognitive states and emotional responses, human-centered AI creates adaptive experiences that respond to users' needs, fostering engagement and reducing cognitive load.

Drawing on examples from gaming and AR/VR, I will discuss how real-time data from sensors like eye tracking and electrodermal activity (EDA) can inform AI systems that dynamically adjust to users' mental states. I’ll also cover ethical considerations, including data privacy and the challenges of designing systems that adapt without being intrusive. Ultimately, this talk aims to highlight the potential of human-centered AI to foster more empathetic, responsive interactions between humans and technology.

Emma is a 4th year PhD Candidate (Computer Science) at RMIT University and Intern at NII researching the intersection between cognitive neuroscience, user experience and video games. Her work specifically looks at methods for improving non-player character companions through adaptive systems and psychophysiological data.

She is passionate about the validation and evaluation of tools used to measure cognitive states during video gameplay and believes the foundation that this research sits upon can be improved through the use of objective data and neuroscientific techniques.

Her other research experience includes AR interaction design of a tool used to train new workers on a production line, digital empathy systems, and the exploration of individual biomarkers of performance of navigation tasks in VR.