2023 · 49 citations · 62 references
ComputingComputer ScienceInteraction DesignNatural Language ProcessingStereotypingConversational InterfacesConversational User InterfacesDialogue AnalysisDialogue SystemsInteractional PragmaticsDescriptive Gender StereotypesDialog SystemsHuman ConversationLinguistic ExpressionScenariosSpoken Dialogue Systems
Automated dialogue or conversational systems are anthropomorphised by developers and personified by users. While a degree of anthropomorphism is inevitable, conscious and unconscious design choices can guide users to personify them to varying degrees. Encouraging users to relate to automated systems as if they were human can lead to transparency and trust issues, and high risk scenarios caused by over-reliance on their outputs. As a result, natural language processing researchers have investigated the factors that induce personification and develop resources to mitigate such effects. However, these efforts are fragmented, and many aspects of anthropomorphism have yet to be explored. In this paper, we discuss the linguistic factors that contribute to the anthropomorphism of dialogue systems and the harms that can arise thereof, including reinforcing gender stereotypes and conceptions of acceptable language. We recommend that future efforts towards developing dialogue systems take particular care in their design, development, release, and description; and attend to the many linguistic cues that can elicit personification by users.
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