I completed my Master\u2019s in AI and Robotics at the University of Hertfordshire, where I worked on artificial life, HCI, and affective robotics. Before joining UNIL, I focused on low-cost assistive technologies for disadvantaged groups. That work grew out of a question that still drives me now: how can we design systems that support people without making them more dependent on technology?<\/p>\n\n\n\n
I have since completed my PhD thesis, which examined reflexivity in the age of AI: the ability to sort through information, question experience, and make one\u2019s own judgments rather than simply accept what a system provides.<\/p>\n\n\n\n
My current research focuses on cost effective technologies that support executive functioning and working memory for people facing cognitive, situational, or structural constraints. More broadly, I study how intelligent systems can help people without taking too much out of their hands.<\/p>\n\n\n\n
A central theme in my work is what I call cognitive durability<\/strong>: designing AI-supported systems that help people remain capable<\/em> over time. I am particularly interested in hybrid forms of interaction, intentional latency, and mixed-intelligence approaches that make room for reflection and help preserve competence.<\/p>\n\n\n\n For me, HCI is where some of the most urgent questions about AI now sit, especially as these systems become part of everyday life.<\/p>\n\n\n\n Doctoral Thesis:<\/strong><\/p>\n\n\n\n Adaptive Supports for Self-Reflection: Designing and Evaluating Hybrid Tools for Reflective Practice<\/a><\/em> (2025)<\/p>\n\n\n\n Publications:<\/strong><\/p>\n\n\n\n Tyler, J., Boldi, M.-O., & Cherubini, M. (2022). Contemporary self-reflective practices: A large-scale survey. Acta Psychologica<\/em>, 230<\/em>, 103768. https:\/\/doi.org\/10.1016\/j.actpsy.2022.103768<\/a><\/p>\n\n\n\n