works on

From the 2 of 5 linked papers with an AI index.

activity
20242026
collaborators

5 papers

cs.HC2026

Conversational Tactile Data Interfaces: Co-Designing Accessible Data Experiences with Blind Users Using Refreshable Tactile Displays and Conversational AI

Samuel Reinders, Munazza Zaib, Bongshin Lee +7

The paper presents a co-designed system that combines refreshable tactile displays with a conversational AI agent to enable blind and low‑vision users to explore and analyze data,…

cs.HC2026

Supporting Multimodal Data Interaction on Refreshable Tactile Displays: An Architecture to Combine Touch and Conversational AI

Samuel Reinders, Munazza Zaib, Matthew Butler +4

The paper presents an architecture and open‑source prototype that combine touch input on refreshable tactile displays with a conversational AI agent, enabling blind and low‑vision…

cs.HC2025

Accessible Data Access and Analysis by People who are Blind or Have Low Vision

Samuel Reinders, Munazza Zaib, Matthew Butler +4

Our work aims to develop new assistive technologies that enable blind or low vision (BLV) people to explore and analyze data readily. At present, barriers exist for BLV people to e…

cs.HC2025

When Refreshable Tactile Displays Meet Conversational Agents: Investigating Accessible Data Presentation and Analysis with Touch and Speech

Samuel Reinders, Matthew Butler, Ingrid Zukerman +3

Despite the recent surge of research efforts to make data visualizations accessible to people who are blind or have low vision (BLV), how to support BLV people's data analysis rema…

cs.AI2024

A Brief Summary of Explanatory Virtues

Ingrid Zukerman

In this report, I provide a brief summary of the literature in philosophy, psychology and cognitive science about Explanatory Virtues, and link these concepts to eXplainable AI.