RL4HCI: Reinforcement Learning for Humans, Computers, and Interaction

Dorota Glowacka, Andrew Howes, Jussi P. Jokinen, Antti Oulasvirta, Özgür Şimşek

Research output: Contribution to conferenceOtherpeer-review

Abstract

Reinforcement learning (RL) is emerging as an approach to understand intelligence in both humans and machines. However, if RL is to have a meaningful impact in human–computer interaction, it is critical that these two threads are integrated. This is required for genuinely interactive RL-based systems which take into account user capacities and preferences. This workshop will build a community and form a research agenda for investigating RL in HCI.
Original languageEnglish
Publication statusPublished - 2021
EventRL4HCI: Reinforcement Learning for Humans, Computers, and Interaction -
Duration: 8 May 2021 → …

Workshop

WorkshopRL4HCI: Reinforcement Learning for Humans, Computers, and Interaction
Period8/05/21 → …

Keywords

  • reinforcement learning
  • human-computer interaction

Fingerprint

Dive into the research topics of 'RL4HCI: Reinforcement Learning for Humans, Computers, and Interaction'. Together they form a unique fingerprint.

Cite this