RL4HCI: Reinforcement Learning for Humans, Computers, and Interaction

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

Tutkimustuotos: Artikkeli kirjassa/konferenssijulkaisussaAbstractScientificvertaisarvioitu

Abstrakti

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.

AlkuperäiskieliEnglanti
Sivumäärä3
DOI - pysyväislinkit
TilaJulkaistu - toukok. 2021
OKM-julkaisutyyppiEi oikeutettu
TapahtumaACM SIGCHI Annual Conference on Human Factors in Computing Systems - Virtual, Online, Yokohama, Japani
Kesto: 8 toukok. 202113 toukok. 2021
https://chi2021.acm.org/

Conference

ConferenceACM SIGCHI Annual Conference on Human Factors in Computing Systems
LyhennettäACM CHI
Maa/AlueJapani
KaupunkiYokohama
Ajanjakso08/05/202113/05/2021
www-osoite

Sormenjälki

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