A4 Vertaisarvioitu artikkeli konferenssijulkaisussa
Reimagining Trustworthy Robot Fleets with Animal Analogies
Tekijät: Hyökki, Suvi; Phillips, Elizabeth K.; Melles, Lydia; Laakasuo, Michael
Toimittaja: Gray, Colin M.; Ciliotta Chehade, Estefania; Hekkert, Paul; Forlano, Laura; Ciuccarelli, Paolo; Lloyd, Peter
Konferenssin vakiintunut nimi: Design Research Society Conference
- Kustantaja: Design Research Society
Julkaisuvuosi: 2024
Lehti: Proceedings of DRS : Design Research Society International Conference
Kokoomateoksen nimi: DRS2024 : Boston
Artikkelin numero: 196
Vuosikerta: 2024
ISBN: 978-1-912294-62-6
eISSN: 2398-3132
DOI: https://doi.org/10.21606/drs.2024.718
Julkaisun avoimuus kirjaamishetkellä: Avoimesti saatavilla
Julkaisukanavan avoimuus : Kokonaan avoin julkaisukanava
Verkko-osoite: https://doi.org/10.21606/drs.2024.718
Rinnakkaistallenteen osoite: https://research.utu.fi/converis/portal/detail/Publication/508973159
Rinnakkaistallenteen lisenssi: CC BY NC
Rinnakkaistallennetun julkaisun versio: Kustantajan versio
In the future, multi-agent robot fleets will be important for domains like agriculture, space exploration, and air combat. Trust of human-machine teams is needed to make the teams resilient to the faults of both human and robot teammates. Trust in multi-agent systems is often fragile: if any agent in the system is less reliable than the others, people will stop interacting with all of them. Studying relationships in human-animal systems can provide useful insights into designing humanrobot systems. We present a method for gathering insight into how humans, working with animal systems think about the relationships between the individuals and the whole, and suggest how animal system models can be used as analogies and practical design features for the design of robot systems in order to increase trust. Using a more-than-human approach in design research phase of human-robot interaction, supports more secure collaboration between humans and robot systems.
Ladattava julkaisu This is an electronic reprint of the original article. |  |
Julkaisussa olevat rahoitustiedot:
Part of the work in this study was funded by Jane and Aatos Erkko Foundation. This work was also supported in part by George Mason University’s Office of Research, Innovation, and Economic Impact (ORIEI) award #215134.
