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Robo-Identity: Exploring Artificial Identity and Emotion via Speech Interactions
Univ Glasgow, Glasgow, Lanark, Scotland..
Trin Coll Dublin, ADAPTCtr, Dublin, Ireland..
Eindhoven Univ Technol, Eindhoven, Netherlands..
Univ Potsdam, Potsdam, Germany..
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2022 (English)In: PROCEEDINGS OF THE 2022 17TH ACM/IEEE INTERNATIONAL CONFERENCE ON HUMAN-ROBOT INTERACTION (HRI '22), Institute of Electrical and Electronics Engineers (IEEE) , 2022, p. 1265-1268Conference paper, Published paper (Refereed)
Abstract [en]

Following the success of the first edition of Robo-Identity, the second edition will provide an opportunity to expand the discussion about artificial identity. This year, we are focusing on emotions that are expressed through speech and voice. Synthetic voices of robots can resemble and are becoming indistinguishable from expressive human voices. This can be an opportunity and a constraint in expressing emotional speech that can (falsely) convey a human-like identity that can mislead people, leading to ethical issues. How should we envision an agent's artificial identity? In what ways should we have robots that maintain a machine-like stance, e.g., through robotic speech, and should emotional expressions that are increasingly human-like be seen as design opportunities? These are not mutually exclusive concerns. As this discussion needs to be conducted in a multidisciplinary manner, we welcome perspectives on challenges and opportunities from variety of fields. For this year's edition, the special theme will be "speech, emotion and artificial identity".

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE) , 2022. p. 1265-1268
Series
ACM IEEE International Conference on Human-Robot Interaction, ISSN 2167-2121
Keywords [en]
artificial identity, voice, speech, emotion, affective computing, human-robot interaction, affective science
National Category
Human Computer Interaction Computer graphics and computer vision
Identifiers
URN: urn:nbn:se:kth:diva-322490DOI: 10.1109/HRI53351.2022.9889649ISI: 000869793600219Scopus ID: 2-s2.0-85140715625OAI: oai:DiVA.org:kth-322490DiVA, id: diva2:1719904
Conference
17th Annual ACM/IEEE International Conference on Human-Robot Interaction (HRI), MAR 07-10, 2022, ELECTR NETWORK
Note

Part of proceedings: ISBN 978-1-6654-0731-1

QC 20221216

Available from: 2022-12-16 Created: 2022-12-16 Last updated: 2025-02-01Bibliographically approved

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Torre, IlariaPereira, André

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Citation style
  • apa
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Language
  • de-DE
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Output format
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