Boston College

schoolSchoolbar_chart#365 Global Rank

Total Papers

HCI Rank

#365

Research Areas

Years Active

Recent Publications

From Answer Givers to Design Mentors: Guiding LLMs with the Cognitive Apprenticeship Model

Design feedback helps practitioners improve their artifacts while also fostering reflection and design reasoning. Large Language Models (LLMs) such as ChatGPT can support design work, but often provide generic, one-off suggestions that limit reflective engagement. We investigate how to guide LLMs to act as design ment…

CHI '26Human-LLM Collaboration +2

Relief or displacement? How teachers are negotiating generative AI's role in their professional practice

As generative AI (genAI) rapidly enters classrooms, accompanied by district-level policy rollouts and industry-led teacher trainings, it is important to rethink the canonical “adopt and train” playbook. Decades of educational technology research show that tools promising personalization and access often deepen inequit…

CHI '26Interactive Data Visualization +2

CrossLit: Connecting Visual and Textual Sensemaking for Literature Review

Conducting literature reviews is cognitively demanding, requiring researchers to navigate large volumes of work while constructing coherent narratives that position their contributions. The process unfolds through iterative stages of sensemaking, each demanding different support. Existing tools emphasize either visual…

UIST '24Vibrotactile Feedback & Skin Stimulation

What is Affective Touch Made Of? A Soft Capacitive Sensor Array Reveals the Interplay between Shear, Normal Stress and Individuality

Humans physically express emotion by modulating parameters that register on mammalian skin mechanoreceptors, but are unavailable in current touch-sensing technology. Greater sensory richness combined with data on affect-expression composition is a prerequisite to estimating affect from touch, with applications inclu…

UIST '24Human-LLM Collaboration +1

VizAbility: Enhancing Chart Accessibility with LLM-based Conversational Interaction

Traditional accessibility methods like alternative text and data tables typically underrepresent data visualization's full potential. Keyboard-based chart navigation has emerged as a potential solution, yet efficient data exploration remains challenging. We present VizAbility, a novel system that enriches chart conten…

CHI '24Human-LLM Collaboration +2

Natural Language Dataset Generation Framework for Visualizations Powered by Large Language Models

We introduce VL2NL, a Large Language Model (LLM) framework that generates rich and diverse NL datasets using Vega-Lite specifications as input, thereby streamlining the development of Natural Language Interfaces (NLIs) for data visualization. To synthesize relevant chart semantics accurately and enhance syntactic dive…

CHI '23Interactive Data Visualization +1

VisLab: Enabling Visualization Designers to Gather Empirically Informed Design Feedback

When creating a visualization, designers face various conflicting design choices. They typically rely on their hunches to deal with intricate trade-offs or resort to feedback from their colleagues. On the other hand, researchers have long used empirical methods to derive useful quantitative insights into visualization…

CHI '23Visual Impairment Technologies (Screen Readers, Tactile Graphics, Braille) +1

Exploring Chart Question Answering for Blind and Low Vision Users

Data visualizations can be complex or involve numerous data points, making them impractical to navigate using screen readers alone. Question answering (QA) systems have the potential to support visualization interpretation and exploration without overwhelming blind and low vision (BLV) users. To investigate if and how…

CHI '22Visual Impairment Technologies (Screen Readers, Tactile Graphics, Braille) +2

Visualization Accessibility in the Wild: Challenges Faced by Visualization Designers

Data visualizations are now widely used across many disciplines. However, many of them are not easily accessible for visually impaired people. In this work, we use three-staged mixed methods to understand the current practice of accessible visualization design for visually impaired people. We analyzed 95 visualization…

CHI '22Generative AI (Text, Image, Music, Video) +1

How Experienced Designers of Enterprise Applications Engage AI as a Design Material

HCI research has explored AI as a design material, suggesting that designers can envision AI's design opportunities to improve UX. Recent research claimed that enterprise applications offer an opportunity for AI innovation at the user experience level. We conducted design workshops to explore the practices of experien…

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https://hci.top/en/institutions/Boston%20College?source=all

At a Glance

Institution Snapshot

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Display Name

Boston College

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Location

United States · North America

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Overall Rank

#365

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Total Papers

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Active Years

2020-2026

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Network

21 researchers · 0 collaborators

Research Profile

Top Research Directions

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Data Visualization & Information Design

Interactive Data Visualization

AI & Machine Learning Interaction

Human-LLM Collaboration

Accessibility & Inclusive Design

Visual Impairment Technologies (Screen Readers, Tactile Graphics, Braille)

Reading, Writing & Document Interaction

Collaborative Writing Tools

Education & Learning Technology

Intelligent Tutoring Systems & Learning Analytics