RL4HCI

Abstraction: Workshop agenda building RL research agenda for human-computer interaction

Key points:

• RL4HCI was a 1-day online workshop co-located with ACM CHI 2021 (May 8), organized by Andrew Howes at Aalto University
• Goal: build a research community at the intersection of reinforcement learning and HCI, integrating user modeling with interactive RL systems
• Interactive RL systems must model user visual search, multitasking, decision-making, emotions, and social connectivity to be genuinely adaptive
• Target application domains highlighted: personalization, tutoring systems, medical diagnosis, and interaction design
• Accepted 2-3 page position papers; PhD students encouraged to submit plans for working at the RL-HCI intersection

Connections: Reinforcement Learning · Human Computer Interaction · AI Agents

Source: https://sites.google.com/view/rl4hci/home