This study examines whether attitudinal trust and entrepreneurial agency are dissociable in entrepreneurs’ interactions with an AI decision-support assistant and combines a human-centred track on attitudinal miscalibration, an interaction-level track on DST-inspired intent disambiguation and tone calibration, and an evidence-level track on graph-conditioned rationale artefacts for GraphRAG reranking.
This work examines how six decision-support mechanisms affect engagement, trust, and collaborative task performance in a diabetes meal-planning scenario and argues for a contextual, balanced pairing of CFF and XAI design that accounts for interactivity, decision frequency, and task complexity.
Oliver Henderson· International Journal of Com...· 0 citations
A conceptual and formal framework for governed proactive agency is developed, organizing behavior across time through perception, intent, affective-conative appraisal, constraint, and feedback, and is intended to guide the development and evaluation of always-present personal assistants and embodied support systems tha...
Conversational large language models (LLMs) modify their answers based on the language and context that users provide. This modification enhances coherence and increases responsiveness. However, linguistic adaptation is not limited to form. In subsequent turns, a system might start to maintain the user's semantic frame...
Hariharasudan Anandhan, Deepika I· Indian Journal of Language a...· 0 citations
It is suggested that AI reproduces the surface of cooperation without the mutual adaptation that grounds it between humans - and, more surprisingly, that mechanisms sustaining human accommodation can run in reverse with AI, suggesting a turn-level view may be insufficient for interaction-level success.
This work pauses a reflection-support agent when it would normally redirect the conversation, surface its observation, and asks users to interpret the pattern and decide how to proceed, and derives a taxonomy of nine interpretation categories and shows that similar reflective states can call for substantially different...
This critical integrative review synthesizes research on automation bias, algorithm appreciation and aversion, large-language-model sycophancy, persuasive dialogue, anthropomorphic interaction, explainable AI, and human autonomy to reposition productive disagreement as a positive safety and autonomy property of human–A...
Connor Nitchals· AI and Ethics· 0 citations
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