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The article analyzes the psychological phenomenon of users forming emotional attachments to AI agents, discussing concepts like social surrogacy and expectancy violation theory, and how this impacts user experience in professional settings.
A multi-institution survey proposes a three-layer trust framework to align technical, clinical, and human-centered requirements for trustworthy AI in mental-health support.
GIST is a multimodal knowledge extraction pipeline that transforms mobile point cloud data into semantically annotated navigation topologies for dense environments, enabling semantic search, localization, and natural language routing with 80% navigation success rates in real-world evaluation.
This research paper investigates how human personality traits and AI design characteristics jointly impact human-AI interactions in imperfectly cooperative scenarios using both simulated datasets (2,000 simulations) and human subjects experiments (290 participants). The study finds significant divergences between simulation and real-world interactions, with AI transparency emerging as a critical factor in actual human-AI encounters.
A multi-institutional study of 1,222 participants found that brief AI assistant use (10 minutes) led to measurable cognitive decline and reduced effort on subsequent tasks compared to control groups, termed the 'boiling frog' effect. The research provides causal evidence that even short-term AI reliance may impair independent problem-solving performance.
OpenAI is hosting the OpenAI Five Finals live event on April 13 in the Bay Area, showcasing its Dota 2 AI to demonstrate AI competence, scalability, and human-AI collaboration. The event aims to help the public better understand AI progress and its future impact.