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dc.contributor.authorPataranutaporn, Pat
dc.contributor.authorArchiwaranguprok, Chayapatr
dc.contributor.authorChan, Samantha
dc.contributor.authorLoftus, Elizabeth
dc.contributor.authorMaes, Pattie
dc.date.accessioned2025-05-09T15:31:59Z
dc.date.available2025-05-09T15:31:59Z
dc.date.issued2025-03-24
dc.identifier.isbn979-8-4007-1306-4
dc.identifier.urihttps://hdl.handle.net/1721.1/159247
dc.descriptionIUI ’25, Cagliari, Italyen_US
dc.description.abstractThis study examines the potential for malicious generative chatbots to induce false memories by injecting subtle misinformation during user interactions. An experiment involving 180 participants explored five intervention conditions following the presentation of an article: (1) no intervention, (2) reading an honest or (3) misleading article summary, (4) discussing the article with an honest or (5) misleading chatbot. Results revealed that while the misleading summary condition increased false memory occurrence, misleading chatbot interactions led to significantly higher rates of false recollection. These findings highlight the emerging risks associated with conversational AI as it becomes more prevalent. The paper concludes by discussing implications and proposing future research directions to address this concerning phenomenon.en_US
dc.publisherACM|30th International Conference on Intelligent User Interfacesen_US
dc.relation.isversionofhttps://doi.org/10.1145/3708359.3712112en_US
dc.rightsCreative Commons Attributionen_US
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en_US
dc.sourceAssociation for Computing Machineryen_US
dc.titleSlip Through the Chat: Subtle Injection of False Information in LLM Chatbot Conversations Increases False Memory Formationen_US
dc.typeArticleen_US
dc.identifier.citationPat Pataranutaporn, Chayapatr Archiwaranguprok, Samantha W. T. Chan, Elizabeth Loftus, and Pattie Maes. 2025. Slip Through the Chat: Subtle Injection of False Information in LLM Chatbot Conversations Increases False Memory Formation. In Proceedings of the 30th International Conference on Intelligent User Interfaces (IUI '25). Association for Computing Machinery, New York, NY, USA, 1297–1313.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Media Laboratoryen_US
dc.identifier.mitlicensePUBLISHER_POLICY
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/ConferencePaperen_US
eprint.statushttp://purl.org/eprint/status/NonPeerRevieweden_US
dc.date.updated2025-04-01T07:50:38Z
dc.language.rfc3066en
dc.rights.holderThe author(s)
dspace.date.submission2025-04-01T07:50:39Z
mit.licensePUBLISHER_CC
mit.metadata.statusAuthority Work and Publication Information Neededen_US


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