This work presents FleetScape, a Mixed Reality (MR) sandtable system that externalizes layered real-time mission, safety, and environmental data while enabling fluid transitions between manual intervention and autonomous supervision and shows that FleetScape supports situational awareness through layered spatial repres...
Peisen Xu, Jérémie Garcia, Peter Cleveland et al.· 0 citations
Visualization researchers utilize workshops both for applied research and to engage different populations with visualization‐based activities. While there are many benefits to running visualization workshops, their utility and impact rely on the presence of a researcher who has deep knowledge about visualization theo...
Derya Akbaba, Camilla Svensson, C. Torelli et al.· Computer graphics forum (Pri...· 1 citation
It is found that the MPA significantly influenced the PMPA and perceived virtue scores, and the best-fitting model to describe the relationship between PMPA and PVS was cubic, which is symmetrical in nature.
Min-Ying Wang, Christoph Bartneck, Michael-John Turp et al.· ACM Transactions on Human-Ro...· 0 citations
The SOPHIAS dataset, a 12-hour multimodal dataset containing recordings of 50 oral presentations delivered by 65 undergraduate and master's students at the Universidad Autonoma de Madrid, enables the exploration of relationships between multimodal behavioral and physiological signals and presentation performance, and p...
A bilingual survey of 199 participants in Bangladesh rated fairness across three everyday scenarios -- ride-sharing prices that shift with context, AI beauty filters that reshape appearance, and large language models that handle cultural values differently than a human would.
A. Rasel, Ahmed Mustafa Amlan, Tasmim Shajahan Mim· 1 citation
This paper uses 119 conversations with 100 or more participants and an extensive data export, drawn from a wider set of 271 collected processes, to ask what determines the output of such a process.
It is argued that AI sensemaking tools risk flattening the rich data patterns, amplifying contradictory textures of user feedback into sterile categories thereby transforming design research from an interpretive craft into a mechanical sorting exercise (rigid and formal).
The qualitative analysis reveals the factors users consider in their anchoring decision, including interface accessibility, stability during interaction, visual clutter, and individual mental models, which inform the design of adaptive and controllable MR interfaces and highlight the importance of supporting user custo...
It is demonstrated that standard LtD strategies show class-dependent sampling bias in classification tasks in practice, and thus may disproportionately defer the minority classes when applied to imbalanced datasets, and that such asymmetries in task delegation may trigger human biases, ultimately leading to poorer down...
Dario Pesenti, A. Bogani, Stefano Teso et al.· 1 citation
FocusGen is presented, an interactive system that introduces external perspectives into visual design exploration through a "virtual focus group" of simulated persona agents, and is positioned as a divergence scaffold for early-stage ideation rather than a substitute for audience research.
Jaewon Choi, H. Vasconcelos, H. Lee et al.· 1 citation· ⚡1
Graphionale is developed as a testbed for empirically studying argument-map-style rationale visualization, and its findings contribute empirical design knowledge about when and how graphical rationales support human decision making, and inform the next-generation reasoning-aware AI interfaces.
Xin-Ru Wang, Zhexue Ma, Ming Yin et al.· 0 citations
A closer look at a broader set of terms that can express desirable results around visualization research, and untangle how these words are understood in the community in relation to other similar terms.
A. Chinni, Md Dilshadur Rahman, Bon Adriel Aseniero et al.· 0 citations
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…
Professor Paris Smaragdis develops computers with superhuman hearing for applications like speech recognition, music understanding, and environmental monitoring.
MIT News · Artificial Intelligence· news.mit.eduOct 23, 2026
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.”
MIT News · Artificial Intelligence· news.mit.eduOct 23, 2026
Assistant Professor Benjamin Lindquist studies how engineers deliberately injected randomness into early AI, giving rise to deep-learning models that sometimes hallucinate.
MIT News · Artificial Intelligence· news.mit.eduOct 22, 2026
“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.
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.
