Socially intelligent systems in collaboration with humans

Artificially intelligent computer systems are designed so that they can learn, reason and make decisions in a similar way as humans. In addition, in order for intelligent systems to cooperate with people in a meaningful way in various activities, to interpret behaviors and to adapt to social situations, systems also need social intelligence. Helena Lindgren's research includes theories, methods and algorithms to make this possible.

Helena Lindgren is particularly interested in how theories and models for how people are motivated, value activity, reason and make decisions about activity can be integrated into systems. This is to make the systems more useful as personalized support in everyday life. Such AI methods can be used to generate support for, for example, improving health, or as support for professionals in clinical situations in health care.

Decision support for dementia diagnostics is the result of Helena Lindgren's research, and ongoing research is aimed at developing personalized support for patients and staff during the rehabilitation of stress disorders.

In 2019, Helena Lindgren was installed as professor of computing science at Umeå University.

Biography

Helena Lindgren was born in 1967 in Södertälje. In 1990 she graduated as an occupational therapist and in 2002 in computing science. She completed her PhD in 2007, in the area of knowledge representation and interactive reasoning with the support of clinical decision support systems.

She has combined clinical expertise with artificial intelligence (AI) research at Umeå University, for which she received the Nordea Scientific Award 2018. She is a member of SAIS, the Swedish AI Society's Board of Directors and in the WASP-AI / MLX Program Committee. She is also a member of the management team in the WASP-HS program.