activity
20212026
most citedARTiST: Automated Text Simplification for Task Guidance in Augmented Reality

14 citations · 27 across the 16 of their papers we have counts for

collaborators

16 papers

cs.HC2026

UrbanTrace: LLM-Assisted Discovery and Semantics-Aware Integration of Spatial Data

Sonia Castelo, Eden Wu, Joao Rulff +3

Urban decision-making requires integrating heterogeneous spatial data. While current GIS tools handle geometric computation efficiently, they lack the semantic reasoning to guide c…

cs.HC2026

Autark: A Serverless Toolkit for Prototyping Urban Visual Analytics Systems

Lucas Alexandre, João Rulff, Talisson Souza +5

The development of visual analytics (VA) systems has traditionally been a labor-intensive process, balancing design methodologies with complex software engineering practices. In do…

cs.HC2026

UrbanClipAtlas: A Visual Analytics Framework for Event and Scene Retrieval in Urban Videos

Joel Perca, Luis Sante, Juanpablo Heredia +3

Extracting actionable insights from long-duration urban videos is often labor-intensive: analysts must manually sift through raw footage to pinpoint target events or uncover broade…

cs.ET2025

Design and Implementation of the Transparent, Interpretable, and Multimodal (TIM) AR Personal Assistant

Erin McGowan, Joao Rulff, Sonia Castelo +11

The concept of an AI assistant for task guidance is rapidly shifting from a science fiction staple to an impending reality. Such a system is inherently complex, requiring models fo…

cs.HC2024

Towards Data-Informed Interventions: Opportunities and Challenges of Street-level Multimodal Sensing

Joao Rulff, Giancarlo Pereira, Maryam Hosseini +2

Over the past decades, improvements in data collection hardware coupled with novel artificial intelligence algorithms have made it possible for researchers to understand urban envi…

cs.HC2024

HuBar: A Visual Analytics Tool to Explore Human Behaviour based on fNIRS in AR guidance systems

Sonia Castelo, Joao Rulff, Parikshit Solunke +11

The concept of an intelligent augmented reality (AR) assistant has significant, wide-ranging applications, with potential uses in medicine, military, and mechanics domains. Such an…

cs.LG2024

MOUNTAINEER: Topology-Driven Visual Analytics for Comparing Local Explanations

Parikshit Solunke, Vitoria Guardieiro, Joao Rulff +5

With the increasing use of black-box Machine Learning (ML) techniques in critical applications, there is a growing demand for methods that can provide transparency and accountabili…

cs.HC2024★ 14 cited

ARTiST: Automated Text Simplification for Task Guidance in Augmented Reality

Guande Wu, Jing Qian, Sonia Castelo +3

Text presented in augmented reality provides in-situ, real-time information for users. However, this content can be challenging to apprehend quickly when engaging in cognitively de…

cs.CL2024

The "Colonial Impulse" of Natural Language Processing: An Audit of Bengali Sentiment Analysis Tools and Their Identity-based Biases

Dipto Das, Shion Guha, Jed Brubaker +1

While colonization has sociohistorically impacted people's identities across various dimensions, those colonial values and biases continue to be perpetuated by sociotechnical syste…

cs.CV2023★ 1 cited

Granularity at Scale: Estimating Neighborhood Socioeconomic Indicators from High-Resolution Orthographic Imagery and Hybrid Learning

Ethan Brewer, Giovani Valdrighi, Parikshit Solunke +5

Many areas of the world are without basic information on the socioeconomic well-being of the residing population due to limitations in existing data collection methods. Overhead im…

cs.HC2023★ 3 cited

ARGUS: Visualization of AI-Assisted Task Guidance in AR

Sonia Castelo, Joao Rulff, Erin McGowan +15

The concept of augmented reality (AR) assistants has captured the human imagination for decades, becoming a staple of modern science fiction. To pursue this goal, it is necessary t…

cs.HC2022★ 1 cited

Calibrate: Interactive Analysis of Probabilistic Model Output

Peter Xenopoulos, Joao Rulff, Luis Gustavo Nonato +2

Analyzing classification model performance is a crucial task for machine learning practitioners. While practitioners often use count-based metrics derived from confusion matrices,…

cs.CY2022★ 7 cited

Urban Rhapsody: Large-scale exploration of urban soundscapes

Joao Rulff, Fabio Miranda, Maryam Hosseini +5

Noise is one of the primary quality-of-life issues in urban environments. In addition to annoyance, noise negatively impacts public health and educational performance. While low-co…

cs.SD2022

A Study on Robustness to Perturbations for Representations of Environmental Sound

Sangeeta Srivastava, Ho-Hsiang Wu, Joao Rulff +5

Audio applications involving environmental sound analysis increasingly use general-purpose audio representations, also known as embeddings, for transfer learning. Recently, Holisti…

cs.CY2021★ 1 cited

A Visual Analytics System for Profiling Urban Land Use Evolution

Claudio Santos, Maryam Hosseini, João Rulff +5

The growth of cities calls for regulations on how urban space is used and zoning resolutions define how and for what purpose each piece of land is going to be used. Tracking land u…

cs.HC2021

ggViz: Accelerating Large-Scale Esports Game Analysis

Peter Xenopoulos, Joao Rulff, Claudio Silva

While esports organizations are increasingly adopting practices of conventional sports teams, such as dedicated analysts and data-driven decision-making, video-based game review is…