Senior Lecturer - (HCID) City, University of London
Smart systems that apply complex reasoning and AI to make decisions and carry out actions are rapidly becoming part of everyday user interaction, yet so far most of these “black box” systems are not at all transparent. It has been shown that understanding how these systems work can help with users’ trust, satisfaction and interaction effectiveness. My research has focused on providing explanations – textual and graphical – of the behaviour of AI systems to make these systems more understandable. In this talk I will provide a brief overview of what we know about designing for understandability.
Dr. Simone Stumpf is a Senior Lecturer at City, University of London in the Centre for HCI Design. She has a long-standing research focus on end-user interactions with machine learning systems and has authored over 60 publications in this area. She organised workshops on End-user Interactions with Intelligent and Autonomous Systems and on Explainable Smart Systems. Her current projects include designing user interfaces for smart heating systems, and smart home self-care systems for people with dementia or Parkinson’s disease. She is also interested in personal information management and end-user development to empower all users to use intelligent machines effectively.