Prof. Dr. Giulio Jacucci is Professor at the Department of Computer Science at the University of Helsinki. He has been Professor at the Aalto University, Department of Design 2009-2010. His research field and competencies are in human-computer interaction in particular : multimodal interaction, interactive intent modelling, mixed reality providing innovation for applications in information discovery and wellbeing. He is co-founder of Etsimo Healthcare ltd offering a platform leveraging AI on top of health data, making it possible for healthcare providers to instantly offer their customers preventive healthcare. He co-authored two patents in the area of information seeking and on modular screens.
My research in the area of Human-Computer Interaction focuses on the End-User Development paradigm in particular focussing on AI and XR. I aim to design interactive systems that address the goals, interests and needs of people within their own cultural context, from their experience, skills and (diverse) physical and cognitive habilities. I have co-designed with, for and by diverse end users, from toolkits for physical computing with interaction designers, to tangible toolkits for the smart home with families in Finland and Spain, to low-cost interactive assistive devices for children with disabilities in underserviced areas in Cochabamba, Bolivia.
I generate new knowledge by studying emergent technologies in the field of human-computer interaction. I have background in researching visual perception and multimodal interaction techniques for augmented and virtual reality. For the last five years, I have studied wellbeing and health area from different perspectives: augmenting social face-to-face interactions with digital media, supporting stroke survivors with tangible interfaces, designing behavior change app for women with gestational diabetes, and studying time perception in virtual reality for mental health.
I am a PhD candidate researching on the design and evaluation of interactive visualizations to support insights. I designed visualizations that expose data uncertainties, such as missing data and data inconsistencies from multiple sources, and support user exploration and sharing of insights with each other. Recently, the research question I am investigating is how types of interactions link to the qualities of insights or user personality traits using some machine learning techniques. Personal website: https://chenhe.space
As a Human Computer Interaction researcher, my focus is on augmenting affective interaction in VR with haptics and multimodal interaction techniques. My research interests are virtual/mixed reality, affective computing, ubiquitous computing, physiological computing, haptics, sensing systems, embedded systems. I enjoy building haptic devices and integrate with the VR system along with sensing devices, for instances, Kinect, LeapMotion, Eye tracker, for the development of the research platform. Beyond the listed research interests, I enjoy being part of the research work where engineering and science meet together.
Qijia Chen conducts studies of emerging practices in Social VR, his research appeared in the Journal of CSCW, at ACM CHI and CSCW (Proceed. of ACM on HCI)
Sergei Smirnov, MSc is a Doctoral Researcher in the Department of Computer Science at the University of Helsinki, supervised by Prof. Giulio Jacucci. He holds an MSc in Technologies with a focus on Machine Learning from Lappeenranta-Lahti University of Technology (LUT), Finland, and a BSc in Computer Science from ITMO University, Russia. Sergei's research focuses on LLLMs tailoring strategies, models evaluation and natural language processing, with a recent co-authored paper submitted to IEEE VR. He has prior experience as a data scientist and machine learning engineer and actively contributes to teaching and research dissemination.