At the IHIET-AI Conference

The 11th International Conference on Human Interaction and Emerging Technologies (IHIET) is the leading global forum for the convergence of interdisciplinary expertise in areas such as healthcare, sports medicine, engineering and artificial intelligence (AI). The conference aimed to facilitate discussions, presentations and collaborations that push the boundaries of innovation and address pressing societal challenges.

Andreas Alexopoulos (AEGIS), representing SYMBIOTIK, attended the conference. Held at the Centre Hospitalier Universitaire Vaudois (CHUV) in Lausanne, Switzerland, between 25 and 27 of April, participants engaged in lively dialogues on integrating the principles of human-centered design with emerging technologies. Discussion topics ranged from energy and transport to healthcare, safety and cybersecurity, reflecting the diverse range of issues facing modern society.

On the first day of technical sessions, he chaired the session centered on Human-Computer Interaction (Track 5) and presented his co-authored paper “Adaptive Visualization Framework for Human-Centric Data Interaction in Time-Critical Environments.” Check out the abstract below.

In today’s data-driven era, handling information overload in time-sensitive scenarios poses a significant challenge. Visualization is a valuable tool for comprehending vast amounts of data. However, it’s crucial to have self-adapting visualizations that are tailored to the user’s cognitive level and grow with their expertise. Existing solutions often fall short in this regard.This paper introduces a framework integrating Artificial Intelligence (AI) techniques for context awareness and emotion sensing, offering visualizations that adjust to user requirements. The framework makes use of cross-modal sensors and Machine Learning (ML) algorithms to analyse behavioural signals, usage statistics, and user feedback. This data guides real-time data ingestion techniques and ML-driven mechanisms, ensuring that visualizations adapt while safeguarding data privacy and confidentiality.

And here is the official reference:

  • Andreas Alexopoulos, Jean Vanderdonckt, Luis A. Leiva, Ioannis Arapakis, Michalis Vakalellis, Vassilis Prevelakis. Adaptive Visualization Framework for Human-Centric Data Interaction in Time-Critical Environments. Proceedings of Human Interaction and Emerging Technologies (IHIET-AI) 2024.