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Semiotic Models: Advancing HCI through Simulating Consciousness

dc.contributor.authorWernsdorfer, Mark
dc.date.accessioned2024-08-21T11:08:32Z
dc.date.available2024-08-21T11:08:32Z
dc.date.issued2024
dc.description.abstractThis position paper proposes a novel graph-based model of consciousness with significant implications for Human-Computer Interaction (HCI) and its implementation as a new kind of AI system: \emph{Semiotic models.} Drawing inspiration from European phenomenology, Peircean semiotics, and Searlean philosophy of mind, we posit that subjective experience emerges primarily from a system's unique perspective, forming the foundation for a hierarchical graph structure that represents conscious concepts. Semiotic models not only address the symbol grounding problem in AI but also open new avenues for designing more intuitive and responsive human-AI interfaces. We present a computational implementation of semiotic models, draft options for evaluating their performance in HCI-relevant tasks, and discuss their potential for user-centered AI design.en
dc.identifier.doi10.18420/muc2024-mci-ws12-386
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/44256
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofMensch und Computer 2024 - Workshopband
dc.relation.ispartofseriesMensch und Computer
dc.rightshttp://purl.org/eprint/accessRights/RestrictedAccess
dc.rights.urihttp://purl.org/eprint/accessRights/RestrictedAccess
dc.subjectArtificial Consciousness
dc.subjectSemiotic Models
dc.subjectKnowledge Representation
dc.subjectAdaptive Interfaces
dc.titleSemiotic Models: Advancing HCI through Simulating Consciousnessen
dc.typeText/Workshop Paper
gi.conference.date1.-4. September 2024
gi.conference.locationKarlsruhe
gi.conference.sessiontitleMCI-WS12: Can HCI Lead the Way? Workshop on Exploring Conscious AI

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