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Let’s Write Privacy: Survey and Experiment Design on Textual Privacy in Conversation

dc.contributor.authorBeyer, Franka
dc.contributor.authorKolagar, Zahra
dc.contributor.authorGold, Darina
dc.date.accessioned2023-08-24T06:24:28Z
dc.date.available2023-08-24T06:24:28Z
dc.date.issued2023
dc.description.abstractThis research article emphasizes the significance of privacy in textual conversational data, specifically in the context of interactions between virtual assistants and users. While previous studies have primarily focused on named entities containing personally identifiable information, this research focuses on quasi-identifiers.´Due to the limited availability of conversational data in privacyinducing domains like healthcare, police force, and finance, the study employs a discrete prompting technique to engage large language models in generating conversations between hypothetical users and virtual assistants. To facilitate this process, this research introduces a straightforward interface. Additionally, a card-sorting experiment design is presented to involve participants in matching the conversations with persona cards representing hypothetical users. Subsequently, participants are asked to identify the information that aided them in making the appropriate matches. The experiment aims to outline the elements within textual data that can expose the identities of individuals engaged in conversations.de
dc.identifier.doi10.18420/muc2023-mci-ws11-260
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/42115
dc.publisherGI
dc.relation.ispartofMensch und Computer 2023 - Workshopband
dc.relation.ispartofseriesMensch und Computer
dc.titleLet’s Write Privacy: Survey and Experiment Design on Textual Privacy in Conversationde
dc.typeText/Workshop Paper
gi.conference.date3.-6. September 2023
gi.conference.locationRapperswil
gi.conference.sessiontitleMCI-WS11: 9. Usable Security und Privacy Workshop

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