

The understanding of agency is a key factor in achieving realistic collaboration for human-centred Al research. Especially when designing complex interactions, like in creative or health contexts, the role the system plays can have crucial impact on the impact and success of human-AI collaboration. This micro[project takes a first step in investigating the theoretical and empirical roles of agency for successful human-computer partnerships. We will have a special focus on interaction and how to build systems with collaborative agency that can be manipulated.
The aim of the project is to investigate both the theoretical and empirical roles of agency in successful human-computer partnerships. For human-centred AI research, the understanding of agency is a key factor in achieving effective collaboration. Although recent advances in AI have enabled systems to successfully contribute to human-computer interaction, we are interested in extending this such that the interaction acts more like a ‘partnership’. This requires building systems with collaborative agency that users can manipulate in the process.
Research questions include:
Project Outline:
Current Output (ongoing)
Publications:
- Younger and Older Adults’ Perceptions on Role, Behavior, Goal and Recovery Strategies for Managing Breakdown Situations in Human-Robot Dialogues (https://dl.acm.org/doi/10.1145/3472307.3484679)
- Journal paper currently in submission
Workshop:
- Focus discussion planned as part of the Dagstuhl workshop on Human-centred AI (June 2022)
Partners:
This Humane-AI-Net micro-project is carried out by Institut national de recherche en sciences et technologies du numérique (INRIA, Janin Koch), Ludwig-Maximilians-Universität München (LMU, Albrecht Schmidt), Københavns Universitet (UCPH, Kasper Hornbaek), Stichting VU (Koen Hindriks) and Umeå University (UMU, Helena Lindgren).