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- W4387355395 abstract "When deploying interactive agents like (social) robots in public spaces they need to be able to interact with a diverse audience, with members each having individual diversity characteristics and prior experiences with interactive systems. To cater for these various predispositions, it is important to examine what experiences citizens have made with interactive systems and how these experiences might create a bias towards such systems. To analyze these bias-inducing experiences, focus group interviews have been conducted to learn of citizens individual discrimination experiences, their attitudes towards and arguments for and against the deployment of social robots in public spaces. This extended abstract focuses especially on the method and measurement of diversity." @default.
- W4387355395 created "2023-10-05" @default.
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- W4387355395 date "2023-09-27" @default.
- W4387355395 modified "2023-10-06" @default.
- W4387355395 title "Using Focus Group Interviews to Examine Biased Experiences in Human-Robot-Interaction" @default.
- W4387355395 doi "https://doi.org/10.48550/arxiv.2310.01421" @default.
- W4387355395 hasPublicationYear "2023" @default.
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