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Robo-Identity: Exploring Artificial Identity and Multi-Embodiment
KTH, School of Electrical Engineering and Computer Science (EECS), Intelligent systems, Speech, Music and Hearing, TMH.ORCID iD: 0000-0002-8874-6629
KTH, School of Electrical Engineering and Computer Science (EECS), Intelligent systems, Robotics, Perception and Learning, RPL.ORCID iD: 0000-0002-8601-1370
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2021 (English)In: ACM/IEEE International Conference on Human-Robot Interaction, Association for Computing Machinery (ACM) , 2021Conference paper, Published paper (Refereed)
Abstract [en]

Interactive robots are becoming more commonplace and complex, but their identity has not yet been a key point of investigation. Identity is an overarching concept that combines traits like personality or a backstory (among other aspects) that people readily attribute to a robot to individuate it as a unique entity. Given people's tendency to anthropomorphize social robots, "who is a robot?"should be a guiding question above and beyond "what is a robot?"Hence, we open up a discussion on artificial identity through this workshop in a multi-disciplinary manner; we welcome perspectives on challenges and opportunities from fields of ethics, design, and engineering. For instance, dynamic embodiment, e.g., an agent that dynamically moves across one's smartwatch, smart speaker, and laptop, is a technical and theoretical problem, with ethical ramifications. Another consideration is whether multiple bodies may warrant multiple identities instead of an "all-in-one"identity. Who "lives"in which devices or bodies? Should their identity travel across different forms, and how can that be achieved in an ethically mindful manner? We bring together philosophical, ethical, technical, and designerly perspectives on exploring artificial identity.

Place, publisher, year, edition, pages
Association for Computing Machinery (ACM) , 2021.
Keywords [en]
Artificial identity, Embodiment, Migratable ai, Robo-identity
National Category
Human Computer Interaction
Identifiers
URN: urn:nbn:se:kth:diva-295462DOI: 10.1145/3434074.3444878ISI: 000767970100177Scopus ID: 2-s2.0-85102725996OAI: oai:DiVA.org:kth-295462DiVA, id: diva2:1556218
Conference
2021 ACM/IEEE International Conference on Human-Robot Interaction, HRI 2021
Note

QC 20220413

Available from: 2021-05-20 Created: 2021-05-20 Last updated: 2022-06-25Bibliographically approved

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Kontogiorgos, DimosthenisTorre, IlariaAbelho Pereira, André Tiago

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Kontogiorgos, DimosthenisTorre, IlariaAbelho Pereira, André Tiago
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