RL4HCI: Reinforcement Learning for Humans, Computers, and Interaction

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

RL4HCI: Reinforcement Learning for Humans, Computers, and Interaction

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

Research output: Contribution to conference › Other › peer-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 language	English
Publication status	Published - 2021
Event	RL4HCI: Reinforcement Learning for Humans, Computers, and Interaction - Duration: 8 May 2021 → …

Workshop

Workshop	RL4HCI: Reinforcement Learning for Humans, Computers, and Interaction
Period	8/05/21 → …

Keywords

reinforcement learning
human-computer interaction

Cite this

@conference{6e4cc5e2c9944479865f5ac87d9f1bd8,

title = "RL4HCI: Reinforcement Learning for Humans, Computers, and Interaction",

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.",

keywords = "reinforcement learning, human-computer interaction",

author = "Dorota Glowacka and Andrew Howes and Jokinen, {Jussi P.} and Antti Oulasvirta and {\"O}zg{\"u}r {\c S}im{\c s}ek",

year = "2021",

language = "English",

note = "RL4HCI: Reinforcement Learning for Humans, Computers, and Interaction ; Conference date: 08-05-2021",

}

TY - CONF

T1 - RL4HCI: Reinforcement Learning for Humans, Computers, and Interaction

AU - Glowacka, Dorota

AU - Howes, Andrew

AU - Jokinen, Jussi P.

AU - Oulasvirta, Antti

AU - Şimşek, Özgür

PY - 2021

Y1 - 2021

N2 - 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.

AB - 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.

KW - reinforcement learning

KW - human-computer interaction

UR - https://dl.acm.org/doi/abs/10.1145/3411763.3441323

M3 - Other

T2 - RL4HCI: Reinforcement Learning for Humans, Computers, and Interaction

Y2 - 8 May 2021

ER -

RL4HCI: Reinforcement Learning for Humans, Computers, and Interaction

Abstract

Workshop

Keywords

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