Agency in sustained human-AI chatbot talks emerges as co-constructed turn-by-turn through boundary-setting and intention-steering, organized in a new 3-by-4 framework of actors and actions.
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5 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
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2026 5verdicts
UNVERDICTED 5representative citing papers
A multi-agent system with finite state machine for therapeutic stages was perceived as significantly more natural and human-like than single-agent or unguided LLM versions in an RCT with 66 participants.
Polite chatbot feedback lowers psychological reactance and boosts behavioral intentions but lacks engagement, whereas verbal leakage heightens surprise and engagement at the expense of increased reactance.
High agreeableness in LLM voice assistants increases older adults' empathy perceptions and real-time explanations outperform history-based ones, but personality does not affect perceived intelligence.
The paper proposes an oral-first multi-agent architecture for Guaraní conversational AI that prioritizes spoken interaction, turn-taking, and community-led governance over standard text-to-speech adaptations.
citing papers explorer
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Does My Chatbot Have an Agenda? Understanding Human and AI Agency in Human-Human-like Chatbot Interaction
Agency in sustained human-AI chatbot talks emerges as co-constructed turn-by-turn through boundary-setting and intention-steering, organized in a new 3-by-4 framework of actors and actions.
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Structure Matters: Evaluating Multi-Agents Orchestration in Generative Therapeutic Chatbots
A multi-agent system with finite state machine for therapeutic stages was perceived as significantly more natural and human-like than single-agent or unguided LLM versions in an RCT with 66 participants.
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Polite But Boring? Trade-offs Between Engagement and Psychological Reactance to Chatbot Feedback Styles
Polite chatbot feedback lowers psychological reactance and boosts behavioral intentions but lacks engagement, whereas verbal leakage heightens surprise and engagement at the expense of increased reactance.
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The Differential Effects of Agreeableness and Extraversion on Older Adults' Perceptions of Conversational AI Explanations in Assistive Settings
High agreeableness in LLM voice assistants increases older adults' empathy perceptions and real-time explanations outperform history-based ones, but personality does not affect perceived intelligence.
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Designing Explainable Conversational Agentic Systems for Guaran\'i Speakers
The paper proposes an oral-first multi-agent architecture for Guaraní conversational AI that prioritizes spoken interaction, turn-taking, and community-led governance over standard text-to-speech adaptations.