The Human-Centered Technology Group at CSI focuses on designing, developing, and evaluating technologies that make our lives easier and better, with people in mind. We are a multidisciplinary team teaching and carrying out fundamental and applied research in the areas of Human-Computer Interaction (HCI), visualization, human-centered design and human-centered AI.
To facilitate the research, the group hosts the HCILab Opens in new window., a well-equipped environment with tools that can be utilized to gain deeper user insights (e.g., eye-tracking, EEG) and create innovative solutions (e.g., virtual and augmented reality).
XPECT Opens in new window. - How to Tailor Explanations from AI Systems to Users' Expectations, funded by the Swedish Research Council (Vetenskapsrådet). Consolidator Grant.
EXPLAIN Opens in new window. - Evaluation of Explainable AI. EXplAIn tackles the challenge of evaluating users interacting with Machine Learning -systems, aiming at developing a generic and integrative framework for evaluating human ML-system collaboration. Funded by The Swedish Research Council (Etableringsbidrag, Vetenskapsrådet).
OptiPro Opens in new window. – Optimization of prosthesis design according to Kansei Engineering and Machine Learning. This project brings together experts in prosthetics, industrial product development and machine learning to improve the quality of prosthetic services and products for people who have undergone a lower-limb amputation. Partner companies: TeamOlmed, Avtik Ortopedteknik, UNYQ. Funded by The Knowledge Foundation (HÖG, KK-Stiftelsen).
XAI-Pro Opens in new window. - Explainable AI for product and service development; project under AFAIR Opens in new window. (a multidisciplinary research project with a focus on applied AI; funded by The Knowledge Foundation).
Skara Guardian Angel External link, opens in new window.. This project develops an innovative solution to increase the safety and comfort for cyclists during the darker periods of the year, so that people can continue to use their bicycle. Funded by VINNOVA and coordinated by Research Institutes of Sweden (RISE).
Marcus Gullstrand External link, opens in new window. (PhD-student, Subnetworks, Concepts and Visualization, Explainable AI, XAI-Pro project)
Max Pettersson External link, opens in new window. (PhD-student, Inverse Reinforcement Learning, Explainable AI, XAI-Pro)
Tobias Pettersson (PhD-student, Automatic Product Recognition, ITAB AB, Smart Industry)
Contact Maria Riveiro External link, opens in new window. for more information.