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The Art of Inquiry: Toward Robots that Infer Speech and Movement Characteristics

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Název: The Art of Inquiry: Toward Robots that Infer Speech and Movement Characteristics
Autoři: Frederiksen, Morten Roed, Støy, Kasper
Zdroj: Frederiksen, M R & Støy, K 2023, The Art of Inquiry: Toward Robots that Infer Speech and Movement Characteristics. in 11th International Conference on Affective Computing and Intelligent Interaction Workshops and Demos (ACIIW). IEEE, pp. 1-8. https://doi.org/10.1109/ACIIW59127.2023.10388090
Frederiksen, M R & Støy, K 2023, 'The Art of Inquiry: Toward Robots that Infer Speech and Movement Characteristics'.
Informace o vydavateli: IEEE, 2023.
Rok vydání: 2023
Témata: Open-ended interaction, Personalization, Robot inquiry, robot inquiry, open-ended interaction, Speech and movement characteristics, speech characteristics, Robotics, movement characteristics, personalization, Human-Robot Interaction
Popis: To improve user personalization of robots in social situations, robots can benefit from inferring information about the humans with whom they interact. Physical human behaviors and personality traits have previously been touted as possible sources of such information but often require complex processing or sensoring requirements. This paper investigates posing specific questions related to extrovert behaviors as an alternative source of this information. It aims to highlight significant relationships between questions aimed at behavioral reactions in specific scenarios and speech and movement attributes, obtained by a robot in a one-on-one social interaction. The paper used an experiment in which participants interacted with a robot through a non-scripted conversation. In it, the robot would gather information on the speech and movement characteristics, and estimated arousal/valence levels of the participant. The experiment was followed by a series of specific questions aimed at outlining the extroversion level of the participants. The results showed multiple significant but weak correlations (p
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Popis souboru: application/pdf
Jazyk: English
DOI: 10.1109/aciiw59127.2023.10388090
Přístupová URL adresa: https://pure.itu.dk/ws/files/109733149/The_Art_of_Inquiry_Toward_Robots_that_Infer_Speech_and_Movement_Characteristics.pdf
https://pure.itu.dk/ws/files/109162547/The_Art_of_Inquiry_Toward_Robots_that_Infer_Speech_and_Movement_Characteristics.pdf
https://pure.itu.dk/portal/da/publications/60e9f184-8d7d-4fd9-ab2b-4cfbcd1e8a8d
Přístupové číslo: edsair.dedup.wf.002..a828cd100ef107cdf7c3595e03c75955
Databáze: OpenAIRE
Popis
Abstrakt:To improve user personalization of robots in social situations, robots can benefit from inferring information about the humans with whom they interact. Physical human behaviors and personality traits have previously been touted as possible sources of such information but often require complex processing or sensoring requirements. This paper investigates posing specific questions related to extrovert behaviors as an alternative source of this information. It aims to highlight significant relationships between questions aimed at behavioral reactions in specific scenarios and speech and movement attributes, obtained by a robot in a one-on-one social interaction. The paper used an experiment in which participants interacted with a robot through a non-scripted conversation. In it, the robot would gather information on the speech and movement characteristics, and estimated arousal/valence levels of the participant. The experiment was followed by a series of specific questions aimed at outlining the extroversion level of the participants. The results showed multiple significant but weak correlations (p
DOI:10.1109/aciiw59127.2023.10388090