Line of inquiry
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How do users' expectations and mental models of conversational AI change?
A broader line of inquiry — a family of 39 specific questions the research asks around this. Follow one into its inquiring-line page, or move sideways to a related line below.
Questions in this line of inquiry 39
Specific inquiring lines the field asks around this — ordered from the most general framing down to the most specific angle.
- How do users update their partner models during ongoing conversation?
- What happens to user expectations as AI conversation quality improves?
- Does perceived machine competence matter more than warmth in dialogue?
- Can a virtual instance be individuated from its conversational context?
- How do casual conversational styles make AI seem more human?
- What would co-constructed identity between human and model dialogue look like?
- Do people treat conversational AI as social actors without conscious awareness?
- How do user expectations change as chatbots remember more interactions?
- Can pseudo-events create the same normative obligations as real communicative exchanges?
- How should AI systems model relationship evolution within a specific ongoing conversation history?
- How do contextual characteristics like emotional state shape dialogue authenticity?
- How does linguistic style change when people deceive conversational AI?
- How many concurrent moral patients does one language model support?
- Does conversational AI personalization increase behavioral expectations too much?
- How does conversation drift from original goals affect user satisfaction?
- Why do AI chat modes pseudo-appeal while post modes reach no one in particular?
- What interaction history signals indicate what a participant finds relevant?
- Does hedonic adaptation explain satisfaction stagnation in conversational AI?
- Why do people prefer AI partners over humans once identity is disclosed?
- How does the quasi-other effect enable meaningful AI interaction?
- Which conversation types most reliably cause models to drift from Assistant mode?
- What novel goals emerge specifically in human-machine interaction beyond social ones?
- How does model weight freezing across users affect virtual instance individuation?
- Is a conversation after a model upgrade the same thread or a new one?
- What role does bidirectional model updating play in human-AI understanding?
- What makes synthetic user data transfer to real conversational systems?
- Why do moderators show vastly different confidence across conversation types and contexts?
- Why do AI model updates cause genuine grief in users?
- How do time gaps between conversations change what chatbots should remember?
- What temporal design dimensions characterize different chatbot relationship types?
- Does distributed serving defeat the identity of a single virtual instance?
- How should systems learn what each meeting participant actually cares about?
- How do unintended relationships form through routine functional use of AI?
- What makes something an addressee capable of receiving communication?
- What role do material artifacts play in solidifying AI relationships?
- Why does batching multiple conversations on one GPU create identity problems?
- How does rapport-building language persist across all GenAI validation responses?
- What downstream harms occur when AI always argues in personal relationship advice?
- What happens to solidarity and community signaling when AI smooths out voice differences?