From the 2 of 6 linked papers with an AI index.
6 papers
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,…
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…
From Instruction to Output: The Role of Prompting in Modern NLG
Munazza Zaib, Elaf Alhazmi
Prompt engineering has emerged as an integral technique for extending the strengths and abilities of Large Language Models (LLMs) to gain significant performance gains in various N…
Invisible Load: Uncovering the Challenges of Neurodivergent Women in Software Engineering
Munazza Zaib, Wei Wang, Dulaji Hidellaarachchi +1
Neurodivergent women in Software Engineering (SE) encounter distinctive challenges at the intersection of gender bias and neurological differences. To the best of our knowledge, no…
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…
Distractor Generation in Multiple-Choice Tasks: A Survey of Methods, Datasets, and Evaluation
Elaf Alhazmi, Quan Z. Sheng, Wei Emma Zhang +2
The distractor generation task focuses on generating incorrect but plausible options for objective questions such as fill-in-the-blank and multiple-choice questions. This task is w…