Workshopbeitrag
Semiotic Models: Advancing HCI through Simulating Consciousness
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Datum
2024
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Gesellschaft für Informatik e.V.
Zusammenfassung
This 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.