JOSHUA NEWN

I’m a passionate design researcher with extensive research training in human-computer interaction, interaction design and user research. My current research focuses on designing, developing and evaluating human-centred AI systems for intelligence augmentation. I am currently a Lecturer (Assistant Professor) in Human-Centred Computing at the School of Computing Technologies at RMIT University, Australia.

I hold a PhD in Human-Computer Interaction from The University of Melbourne — supervised by Frank Vetere and Eduardo Velloso. Previously, I was affiliated with Lancaster University, where I developed further expertise in eye tracking and extended reality (XR) as part of Hans Gellersen’s ERC GEMINI project. Prior, I worked on several human-AI teaming projects at the AI and Autonomy Lab at The University of Melbourne as a postdoctoral researcher.

Teaching

I have extensive teaching experience in the field of human-computer interaction. I have taught various subjects focusing on human-centred design, emerging technologies, and evaluating user experience. I have not only delivered existing courses but also actively developed fresh and engaging subject material, coordinated subject delivery, and explored novel teaching methods to foster an enriched learning environment.

I have had the privilege of supervising and mentoring students at both undergraduate and postgraduate levels. Through these collaborations, we have successfully produced publications that combine my expertise in human sensing and conducting user studies with their areas of research and specialisation, resulting in valuable contributions to AI and HCI fields.

Research

AI has the potential to complement and augment human intelligence and capabilities by offering the right information and guidance at the right time. However, current AI agents are limited in this capacity — they often lack the proper communication cues and corresponding models to proactively determine when their human counterpart requires support and the level of support they may require, which limits their true ability.

My research aims to develop new knowledge in building interactive AI-based systems capable of identifying opportunities for adaptive AI interventions using unobtrusive sensing technologies — a challenge at the core of augmented intelligence towards systems and services that are proactive and adaptive to human needs. I address two main challenges through design: (1) the extent to which we can identify opportunities for support from multimodal sensor data and (2) designing AI agents that can learn to provide contextually-relevant interventions proactively. To achieve this, I leverage eye tracking as an informative modality for intervention prediction, a rapidly emerging ubiquitous input modality that has made its way into extended reality (XR) headsets.

Here’s a short research vision video I created during my PhD: youtu.be/4nb9ZT1hKSI

Publications

I actively publish in top-tier venues in Human-Computer Interaction (HCI) and Artificial Intelligence (AI). In the HCI field, the primary publication venues are fully refereed conference proceedings, while journals are also prestigious publication venues. Please refer to my Google Scholar page for up-to-date publications and metrics. All publications are publically available through my ResearchGate profile.

Hobbies

Beyond my academic pursuits, I derive immense pleasure from engaging in long-distance hiking, capturing the world's beauty through photography, and embarking on journeys that allow me to explore diverse cultures and experiences through travel.

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