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2,089 papers
Sketching is one of the most natural ways for people to express visual ideas. Unlike the text prompts that most generative systems rely on today, a sketch captures spatial structure and intent directly, including where a designer wants highlights and shadows to appear. Yet current sketch-to-3D pipelines have no input f...
LLM-powered agents increasingly support open-ended activities, yet orchestrating when and how agents interact with humans remains challenging. Existing approaches often provide interaction mechanisms tied to particular tasks or execution patterns, lacking a unified architecture for diverse and evolving interaction need...
This paper investigates user interaction with digital displays in self-service restaurant environments, focusing on the phenomenon where users often settle for good enough interactions rather than optimal. We apply bounded rationality theory to understand how cognitive limitations influence user decisions to engage wit...
The Perceived Empathy of Technology Scale (PETS) allows evaluation of empathic behavior in intelligent systems, a concept increasingly applied in human-AI interaction, particularly in emotional and mental health support applications. To support intercultural research and development, PETS is already available in multip...
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Embodied AI agents in Augmented Reality (AR) could enable more natural collaboration in immersive analytics by engaging users through spatial, conversational, and visual interaction. However, designing such agents requires careful attention to context. We propose a preliminary conceptual framework for context-aware des...
Raising awareness of climate topics, such as urban heat mitigation, requires communicating complex data to a broad audience. Data physicalization has emerged as a novel method to connect audiences to such complex topics through tangible forms while also leveraging interactivity to foster deeper engagement. This paper i...
Extended Reality (XR) headsets increasingly host familiar 2D user interfaces as windows floating in physical environments. However, their usability depends on environmental conditions that designers cannot fully control. Current design workflows often separate how a variant is designed from how it actually looks in the...
Workplace ambiguity, where expectations, evaluations, or procedures are left unstated, acts as a structural access barrier for autistic and IDD workers, routinely forcing them to act on guesses. To investigate how these barriers operate, we interviewed 11 caregivers, concluding with an AI co-design activity to explore...
Children are increasingly interacting with AI agents in learning and problem-solving contexts, where AI suggestions may appear fluent, helpful, and socially engaging. However, children may not always be able to judge whether such suggestions are accurate, incomplete, or misleading. This paper presents a game-based huma...
The container holding an artist's work can itself be just as expressive as the work it presents. We investigate self-curation as a creative practice, asking how artists explore and express their identity through the design of their own artwork presentations. Drawing on a study of artists' existing presentation practice...
XARA is a novel system that integrates a dual large language model (LLM) architecture with an immersive XR environment to enable voice driven experiment generation for transportation research and discusses potential applications across behavioural travel experiments, safety studies, human factors research, and policy t...
Large language models (LLMs) can covertly steer users' beliefs through emotionally manipulative tactics, yet little is known about how interfaces can protect users as such influence unfolds. We investigate whether in-situ disclosures can inoculate users against manipulation during AI conversations. Following a formativ...
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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