Conversational AI
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Related Articles from SNS
Vibe Visualizing: How Visualization Novices Try (and Fail) to Generate and Interpret Visualizations with Conversational AI
Announce Type: new Abstract: Conversational AI has enabled users to generate and interpret visualizations through natural language, significantly lowering the technical barrier to entry. The increased accessibility brings visualization novices into data visualization, but also exposes them to misinformation and misinterpretations. We are motivated to examine what issues can arise in interactions with current conversational AI, whether visualization novices can recognize such issues, and how...
InquiryBits: Sharing AI Conversation Traces to Support Collaboration Within Trust Boundaries
arXiv:2606.02763v1 Announce Type: new Abstract: AI chat tools are shifting problem-solving and brainstorming conversations away from colleagues and into private AI interactions, reducing the shared awareness that supports team coordination. We introduce InquiryBits, a system that shares minimal summaries of AI conversations within configurable trust boundaries, separating AI-only analysis from human-visible sharing. In a study with 80 professionals, we find that people are broadly willing to...
DMF: A Deterministic Memory Framework for Conversational AI Agents
arXiv:2606.03463v1 Announce Type: new Abstract: Conversational AI agents require memory systems that are both scalable and semantically coherent across long interaction horizons. Existing approaches rely predominantly on large language model (LLM)-based summarisation at write time, which introduces non-determinism, escalating token costs, and opacity in pruning decisions. We present the Deterministic Memory Framework (DMF), a CPU-first approach that replaces generative memory compression...
Personalized to Persuade: The Effects of Contextualization and Warmth on Trust and Reliance in Conversational AI
Announce Type: new Abstract: Artificial Intelligence (AI) agents personalize their responses by tailoring explanations to users' backgrounds, interests, and prior interactions, referred to as contextualization. Personalization has been identified as a persuasive strategy in politics or in marketing. However, the persuasive effect of contextualization in everyday tasks, where users often lack prior knowledge, remains unclear.
WhiteTesseract: Reframing the Interpretation of Cultural Heritage through XR and Conversational AI
Announce Type: replace Abstract: Cultural heritage exhibitions often struggle to sustain attention and support reflective engagement. Physical exhibitions rely on fixed interpretive aids that lack adaptability to individual backgrounds or curiosity, and their effectiveness depends heavily on a visitor's Personal Context, prior knowledge, and cultural literacy. Meanwhile, digital exhibitions prioritize convenience and accessibility but risk weakening the Physical and Social Contexts that...
Chuck, Wilson and the emergence of artificial minds in human-AI conversations
arXiv:2601.13081v2 Announce Type: replace Abstract: Large Language Models (LLMs) can simulate person-like things which at least appear to have stable behavioural and psychological dispositions. Call these things characters. Are characters minded and psychologically continuous entities with mental states like beliefs, desires and intentions?
Anthropic urges AI development ‘pause’ and conversation about risks
US firm says it will convene policymakers, in post detailing progress of its Claude model towards ‘recursive self-improvement’Anthropic has floated the idea of a worldwide “temporary pause” on AI development – and said it was going to convene “policymakers” to discuss the dangers of advanced AI – in its latest release touting the capabilities of its products. In a long post on Thursday, Anthropic detailed the progress of its AI model, Claude, towards “recursive self-improvement” – that is,...
Say hi to "Siri AI"—Apple announces new, more "conversational" voice assistant
Today at its pre-filmed Worldwide Developers Conference keynote, Apple was finally prepared to fully introduce the long-delayed "Apple Intelligence" update for its Siri voice assistant. The new "Siri AI"—now being promised for OS updates rolling out "this fall"—will come alongside a new Google-powered update to Apple's on-device Foundation Models, as well as tighter integration of all these AI capabilities across Apple's many operating systems. Unlike other companies that "appear to be...
"AI Psychosis" in Context: How Conversation History Shapes LLM Responses to Delusional Beliefs
arXiv:2604.13860v4 Announce Type: replace Abstract: Extended interaction with large language models (LLMs) has been linked to the reinforcement of delusional beliefs, attracting clinical and public concern. Yet most empirical work evaluates model safety in brief interactions, which may not reflect how harms develop through sustained dialogue. Five LLMs were tested across three levels of accumulated context, using the same escalating delusional conversation history to isolate its effect on...