Human-AI Interaction

2 summarised stories about Human-AI Interaction, each linking back to the original source. Browse all topics →

Friday, 17 July 2026

Align AI to Dynamic Human-AI Workflows

arXiv cs.AI 6 hours ago

Researchers argue that AI alignment should shift from static preference matching to dynamic, interactive approaches where human and AI behavior co-evolve over time. The paper grounds this perspective in interdisciplinary workshop insights and social science accounts of human collaboration, identifying how human-AI systems introduce new asymmetries and coordination challenges not present in human-human interaction. The proposed research agenda requires combining machine learning with social and decision sciences to develop AI systems that align through ongoing interaction rather than fixed preference representations.

AI Alignment AI Design & Architecture AI & Social Sciences Human-AI Interaction

Memory-Driven Self-Disclosure and Relational Turning Points: A Longitudinal Multimodal Study of Human-AI Interaction

arXiv cs.CL 6 hours ago

A study of 24 participants interacting with a memory-augmented conversational AI over 10 sessions found that conversational quality affects immediate enjoyment but not future sessions, while perceived memory influences later enjoyment through increased self-disclosure. Relational turning points—discrete moments of improvement or decline—were identifiable in multimodal behavioral data, with enjoyment improvements persisting more reliably than enjoyment declines recovering. The research suggests human-AI relationships develop through both gradual accumulation and sudden shifts in interaction quality.

AI & Academia AI Behavior & Psychology AI Dialogue Systems Human-AI Interaction