Uploaded May 2024 | Updated September 2026, 3 hours ago
Microsoft Future Leaders in Robotics and AI Seminar Series: Designing Language-Capable Robots for Ethical & Socially Adaptive Human Interactions
Online Seminar
Ruchen (Puck) Wen
Postdoctoral Fellow
University of Maryland Baltimore County
As social robots become increasingly integrated into everyday contexts, ensuring natural and fluid interaction with humans has become a critical challenge. This involves developing robots capable of natural interaction consistent with social conventions. Meanwhile, language-capable robots hold unique persuasive power over their human interactants, which offers exciting opportunities to encourage pro-social behavior. However, these capabilities also come with risks, particularly in regards to the potential for robots to accidentally harm human norm systems. Therefore, it is not only important to enable social robots with moral and social competence, but also to investigate the impact that these robots have on humans to facilitate the successful integration of robots into human society. In this presentation, I will introduce my research on proposing design guidelines and developing context-sensitive computational approaches to enhance robots' abilities in understanding human intentions and generating responses that are ethically and socially adaptive.
For more information on the Maryland Robotics Center see:
https://robotics.umd.edu
Microsoft Future Leaders in Robotics and AI Seminar Series: Designing Language-Capable Robots for Ethical & Socially Adaptive Human Interactions
Online Seminar
Ruchen (Puck) Wen
Postdoctoral Fellow
University of Maryland Baltimore County
As social robots become increasingly integrated into everyday contexts, ensuring natural and fluid interaction with humans has become a critical challenge. This involves developing robots capable of natural interaction consistent with social conventions. Meanwhile, language-capable robots hold unique persuasive power over their human interactants, which offers exciting opportunities to encourage pro-social behavior. However, these capabilities also come with risks, particularly in regards to the potential for robots to accidentally harm human norm systems. Therefore, it is not only important to enable social robots with moral and social competence, but also to investigate the impact that these robots have on humans to facilitate the successful integration of robots into human society. In this presentation, I will introduce my research on proposing design guidelines and developing context-sensitive computational approaches to enhance robots' abilities in understanding human intentions and generating responses that are ethically and socially adaptive.
For more information on the Maryland Robotics Center see:
https://robotics.umd.edu
