AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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2,089 papers
2D and 3D videos could generally induce a higher cognitive load, but the extent of the differences also depended on the contents of the video stimuli and the viewing purpose, and the Cognitive Load Index (CLI) was introduced.
The Data Hospital is presented, a human-in-the-loop control and interaction model for research data quality that makes assessability, uncertainty, intervention authority, provenance, and process reproducibility visible.
A codebook covering modes of use, risks, benefits, and parental mediation for youth AI companion use from parenting and teenager communities is developed and applied at corpus scale with an LLM, arguing differences track what a given kind of use makes visible to someone outside the conversation.
Extended reality (XR) increasingly supports training and cognitive assessment, yet the age sensitivity of its interaction techniques is unclear. This study examined age, digital literacy, and interaction modality as correlates of psychomotor and cognitive-flexibility performance in immersive virtual reality (VR). Two h...
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AI companions can purportedly adopt racial personas, raising questions about how they represent identity and how users interpret these portrayals. We combined an algorithmic audit of race-coded AI personas with interviews with 12 companion users who interacted with a probe. Our audit revealed systematic differences, su...
The article outlines how several psychological theories guided the development of this multiple-task simulation and points out how its latest version offers researchers the possibility of addressing a set of new research questions including problems associated with teamwork and human-AI interaction.
This work surveyed 148 papers and 1,824 figure panels using a What-Why-How coding framework grounded in Munzner's nested model, connecting the data represented, the biological tasks motivating each visualization, and the design choices through which they are expressed.
This paper proposes representational adequacy as a new evaluation target for LLM-based social simulations, distinguishes representational adequacy from interpretability and alignment metrics, proposes ways to integrate it into simulation research, and poses its measurement as an open problem.
Penquiry is presented, an in-situ question-and-answer system that bridges the gap between the fluid, spatial nature of pen-based workflows and the discrete, keyboard-heavy requirements of Large Language Models, providing a new blueprint for pen-based, in-situ AI interaction.
This work presents marimo-lens, an extension to the reactive Python notebook marimo for grounded human-agent analysis that connects a human's marked output and note to its producing cell and relevant contributing computation, giving the agent computational context for the request.
A qualitative user study shows that Treadstone fosters collaboration while preserving human analytical agency, in contrast to the solitary experience of conventional chatbot interaction.
A recent randomized trial compared a GPT-4o career reflection agent with the same program in a static journaling survey, finding the behavior tied to the worse outcome was the demand to decide.
AI agents can generate code at a scale that’s hard for humans to review line-by-line. PDD Kit helps ensure the code is doing what the developer intended by creating formal specifications and testing against them. It converts developer intent into a Verus specification, proves AI-generated code meets it for every input, and uses tests where proofs aren't practical. Developers review intent, not every line. The post Formally verifying agent-written full-stack web apps with PDD Kit appeared first o…
Data Mining & Modeling
Professor Paris Smaragdis develops computers with superhuman hearing for applications like speech recognition, music understanding, and environmental monitoring.
During the School of Humanities, Arts, and Social Sciences’ 75th Anniversary Symposium, President Sally Kornbluth said “MIT has never needed your particular insight and guidance more than we do now.”
Assistant Professor Benjamin Lindquist studies how engineers deliberately injected randomness into early AI, giving rise to deep-learning models that sometimes hallucinate.
“X-Hinges” helps design and 3D print items like lamps and gloves with an interactive twist: automatically embedded sensors that perceive and adaptively respond to human contact.
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