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Human Autonomy as a Design Principle for Socially Assistive Robots
High levels of robot autonomy are a common goal, but there is a significant risk that the greater the autonomy of the robot the lesser the autonomy of the human working with the robot.
Proceedings of the AI-HRI Symposium at AAAI-FSS 2022
The Artificial Intelligence (AI) for Human-Robot Interaction (HRI) Symposium has been a successful venue of discussion and collaboration on AI theory and methods aimed at HRI since 2014.
Enabling a Social Robot to Process Social Cues to Detect when to Help a User
It is important for socially assistive robots to be able to recognize when a user needs and wants help.
A Knowledge Driven Approach to Adaptive Assistance Using Preference Reasoning and Explanation
There is a need for socially assistive robots (SARs) to provide transparency in their behavior by explaining their reasoning.
Proceedings of the AI-HRI Symposium at AAAI-FSS 2020
We see a growing need for research that lives directly at the intersection of AI and HRI that is serviced by this symposium.
Developing Computational Models of Social Assistance to Guide Socially Assistive Robots
While there are many examples in which robots provide social assistance, a lack of theory on how the robots should decide how to assist impedes progress in realizing these technologies.
Enabling Basic Normative HRI in a Cognitive Robotic Architecture
Collaborative human activities are grounded in social and moral norms, which humans consciously and subconsciously use to guide and constrain their decision-making and behavior, thereby strengthening their interactions and preventing emotional and physical harm.
