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2,089 papers
Reframing democratization as workable participation, it is argued that reported gains were conditional on this accountability and repair labour, and the findings are translated into four design directions for workplace generative AI.
This chapter explores how robotic systems and ambient intelligence can enhance care for older adults in residential aged care (RAC) homes and private homes. Although these settings differ, we frame both as extreme and challenging environments for human-robot interaction (HRI), characterised by cluttered and dynamic lay...
This paper introduces jk-plots, inspired by educational material of Bayesian statistics, that combine visualizations of plausible reference models (emulating popular uncertainty visualization idioms) and the observations, and describes a visualization pipeline to create jk-plots.
Chat Assisted Reinforcement Learning (CARL) bridges gaps through a human-AI co-design interface architecture that enforces interactive specification prior to code generation and then enables subsequent verification and parameter alterations via iteration.
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It is found that scaffolds improve writing quality, with this boost persisting in short-lag transfer when scaffolds are removed, and there is evidence of improved topic recall three days later.
A voice-enabled smart-home assistant that acts as a household memory by recording conversations and retrieving information from stored and newly captured speech that runs on an Android tablet with a modular architecture.
The Malleable Workspace is introduced, a conceptual model of how humans and agents form and revise a Work Representation and use its organization to advance work within a wider Work Environment.
This work implements ABRA, a framework-agnostic prototype of Agent-Bound UI, a framework-agnostic prototype of Agent-Bound UI in which users and agents collaborate through chat and shared interactive canvases, and evaluates four LLM-backed agents on canvas authoring, owner-side consequence resolution, and cross-agent i...
Digitally mediated attachment is increasingly common, yet the mechanisms of symbolic closure in hybrid physical--digital relationships remain underexplored. We address an XR design question: how different mediated farewell formats relate to perceived symbolic closure, spatial presence, and bereavement-related emotional...
People with dwarfism and other forms of short stature may encounter barriers created by fixed-height environments and discriminatory social assumptions. This paper evaluates Big World, Little Me, a 10 min 52 s first-person walkthrough recorded from a Unity-based VR environment. The narrative depicts domestic reachabili...
Understanding how university students perceive the development of their generative artificial intelligence (GenAI) skills over time can clarify how GenAI use relates to learning and academic outcomes. This study examined perceived skill-development trajectories, changes in learning practices, and associated academic ga...
As AI increasingly becomes a collaborator in scientific research, its impact may extend beyond improving ideas to reshaping how they are evaluated, attributed, and perceived by humans. Yet existing research has largely examined these dimensions in isolation. We present a unified empirical study of Human-AI scientific i...
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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