User, Interaction and Knowledge Modelling
The Umeå University research on personalised knowledge-based intelligent systems is covering research projects with the objective to develop methods and technology, demonstrated in prototype implementations for supporting the individual in the activities of their choice. A particular focus is put on the design and modeling of the user, the interaction and the knowledge content of interactive, intelligent and autonomous systems and environments.
UIKM @ IJCAI-ECAI 2018, AAMAS 2018, ICML 2018 during the Federated AI Meeting in Stockholm (Helena, Esteban, Nazanin, Timotheus, Juan Carlos and Monika. Madeleine is missing in the picture)
The following research contributions were presented:
- Autonomous adaptation of software agents in the support of human activities @ Joint International Workshop on AI in Health (AIH) 2018. Esteban Guerrero, Ming-Hsin Lu, Hsiu-Ping Yueh and Helena Lindgren,
- Smart Augmented Reality mHealth for Medication Adherence @ Joint International Workshop on AI in Health (AIH) 2018. Martin Ingeson, Madeleine Blusi and Juan Carlos Nieves,
- Coercion and deception in persuasive technologies @ 20th International TRUST Workshop 2018. Timotheus Kampik, Juan Carlos Nieves and Helena Lindgren,
- Towards empathic autonomous agents @ 6th International Workshop on Engineering Multi-Agent Systems (EMAS 2018). Timotheus Kampik, Juan Carlos Nieves and Helena Lindgren,
- Resolving Incompatibilities among Procedural Goals under Uncertainty @ 6th International Workshop on Engineering Multi-Agent Systems (EMAS 2018). Mariela Morveli Espinoza, Juan Carlos Nieves, Ayslan Possebom and Cesar A. Tacla,
- Resolving, Incompatibilities between Procedural Goals: An Argumentation-based Approach (abstract) @ Pre-AAMAS2018 Workshop on Formal Methods and Logical Aspects of Multi-Agent Systems (FMLAMAS 2018). Mariela Morveli-Espinoza, Juan Carlos Nieves, Ayslan Trevizan, J. Puyol-Gruart, Cesar Tacla.
More information about who we are is found here.
News, mainly in Swedish:
Research is conducted in areas at the intersection of Artificial Intelligence (AI) and Human-Computer Interaction (HCI) with emphasis on interaction design of knowledge-based systems. Topics like multi-initiative (autonomous) systems, intelligent user interfaces, user-driven development, knowledge and user modeling, personalization, argumentation, multi-agent systems and semantic web techniques are central. Research is focusing on the design and evaluation of methods, algorithms and software for decision-support in complex knowledge domains that promote development of users’ knowledge and skills in collaborative intelligent environments.
A major goal is to facilitate autonomy and optimize skills in individuals in performing computer-supported activity in their daily life. In order to accomplish this, a user and activity-centered design methodology working towards supporting e.g., patient-centric care and a holistic perspective on an individual's situation is applied. Evaluation of prototypes using formative and situated methods is central. Consequently, potential end users and stakeholders play a key role in the projects. They enable and realize the user-driven development methods and tools that we develop by developing knowledge-based support applications following their envisioned future practice/activity. Their specific skills and knowledge in professional domains supplement the group's competence in computing science, cognitive science, ergonomics and occupational rehabilitation.
HAI-Lab - the Laboratory for Research on Human-AI Interaction, Collaboration and Cooperation
The Human-AI Interaction Research laboratory is used for experimenting on various topics related to interacting with rational software agents embedded in intelligent environments for work, daily living activities or leisure activities. The lab contains a smart home environment with embedded sensors and NAO robots, and a number of prototype applications for different purposes related to activity and complex decision-support in every day/work activities.
|Vacancies||Application Deadline||Reference Number|
|1-2 PhD student in Computer Science with focus on socially intelligent systems for person-tailored digital coaching||<Position filled>||closed|
|1 PhD student in Computer Science with focus on socially intelligent systems for human-agent collaboration||<Position filled>||closed|
|Postdoctoral Stipend (2 years) in socially intelligent autonomous systems||<Position filled>||closed|
|Postdoctoral stipend (2 years) in autonomous systems that recognise, explain, and predict complex human activities||<Position filled>||closed|
|Postdoctor in eHealth for Older Adults||<Position filled>||closed|
|1-2 PhD students in Computer Science with focus on knowledge-based systems applied to health care||<Position filled>||closed|
|1-2 Postdoctoral scholarships (2 years) in Computer Science with focus on knowledge-based systems applied to health care||<Position filled>||closed|