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pro vyhledávání: '"Agnes Axelsson"'
Publikováno v:
Frontiers in Robotics and AI, Vol 10 (2023)
People often form immediate expectations about other people, or groups of people, based on visual appearance and characteristics of their voice and speech. These stereotypes, often inaccurate or overgeneralized, may translate to robots that carry hum
Externí odkaz:
https://doaj.org/article/8ec7fc71f9ef437da210776f7a0a197d
Publikováno v:
Frontiers in Computer Science, Vol 4 (2022)
Intelligent agents interacting with humans through conversation (such as a robot, embodied conversational agent, or chatbot) need to receive feedback from the human to make sure that its communicative acts have the intended consequences. At the same
Externí odkaz:
https://doaj.org/article/19648eaacdf2483298a09bd598740ee0
Autor:
Agnes Axelsson, Gabriel Skantze
Publikováno v:
Frontiers in Computer Science, Vol 3 (2022)
Feedback is an essential part of all communication, and agents communicating with humans must be able to both give and receive feedback in order to ensure mutual understanding. In this paper, we analyse multimodal feedback given by humans towards a r
Externí odkaz:
https://doaj.org/article/b4f3e93dc8c64eafa1ace10ed685797c
Autor:
Agnes Axelsson, Gabriel Skantze
Publikováno v:
Proceedings of the 2023 ACM/IEEE International Conference on Human-Robot Interaction.
Autor:
Gabriel Skantze, Yuan Gao, Pian Yu, Agnes Axelsson, Danica Kragic, Ginevra Castellano, Sofie Ahlberg, Wenceslao Shaw Cortez, Ali Ghadirzadeh, Dimos V. Dimarogonas
Publikováno v:
Unmanned Systems. 10:187-203
The work presented here is a culmination of developments within the Swedish project COIN: Co-adaptive human-robot interactive systems, funded by the Swedish Foundation for Strategic Research (SSF), which addresses a unified framework for co-adaptive