activity
20222026
most citedIdentifying Crucial Objects in Blind and Low-Vision Individuals' Navigation

7 citations · 22 across the 13 of their papers we have counts for

collaborators

13 papers

cs.HC2026

VoiceAlign: A Shimming Layer for Enhancing the Usability of Legacy Voice User Interface Systems

Md Ehtesham-Ul-Haque, Syed Masum Billah

Voice user interfaces (VUIs) are rapidly transitioning from accessibility features to mainstream interaction modalities. Yet most operating systems' built-in voice commands remain…

cs.HC2026★ 1 cited

Giving Meaning to Movements: Challenges and Opportunities in Expanding Communication by Pairing Unaided AAC with Speech Generated Messages

Imran Kabir, Sharon Ann Redmon, Lynn R Elko +5

Augmentative and Alternative Communication (AAC) technologies are categorized into two forms: aided AAC, which uses external devices like speech-generating systems to produce stand…

cs.HC2025

ToPSen: Task-Oriented Priming and Sensory Alignment for Comparing Coding Strategies Between Sighted and Blind Programmers

Md Ehtesham-Ul-Haque, Syed Masum Billah

This paper examines how the coding strategies of sighted and blind programmers differ when working with audio feedback alone. The goal is to identify challenges in mixed-ability co…

cs.CV2025★ 2 cited

IKIWISI: An Interactive Visual Pattern Generator for Evaluating the Reliability of Vision-Language Models Without Ground Truth

Md Touhidul Islam, Imran Kabir, Md Alimoor Reza +1

We present IKIWISI ("I Know It When I See It"), an interactive visual pattern generator for assessing vision-language models in video object recognition when ground truth is unavai…

cs.CV2025

Logic-RAG: Augmenting Large Multimodal Models with Visual-Spatial Knowledge for Road Scene Understanding

Imran Kabir, Md Alimoor Reza, Syed Billah

Large multimodal models (LMMs) are increasingly integrated into autonomous driving systems for user interaction. However, their limitations in fine-grained spatial reasoning pose c…

cs.HC2025

Beyond Visual Perception: Insights from Smartphone Interaction of Visually Impaired Users with Large Multimodal Models

Jingyi Xie, Rui Yu, He Zhang +3

Large multimodal models (LMMs) have enabled new AI-powered applications that help people with visual impairments (PVI) receive natural language descriptions of their surroundings t…

cs.HC2024★ 2 cited

Enhancing the Travel Experience for People with Visual Impairments through Multimodal Interaction: NaviGPT, A Real-Time AI-Driven Mobile Navigation System

He Zhang, Nicholas J. Falletta, Jingyi Xie +4

Assistive technologies for people with visual impairments (PVI) have made significant advancements, particularly with the integration of artificial intelligence (AI) and real-time…

cs.CV2024★ 7 cited

Identifying Crucial Objects in Blind and Low-Vision Individuals' Navigation

Md Touhidul Islam, Imran Kabir, Elena Ariel Pearce +2

This paper presents a curated list of 90 objects essential for the navigation of blind and low-vision (BLV) individuals, encompassing road, sidewalk, and indoor environments. We de…

cs.HC2024★ 1 cited

Demonstration of Wheeler: A Three-Wheeled Input Device for Usable, Efficient, and Versatile Non-Visual Interaction

Md Touhidul Islam, Noushad Sojib, Imran Kabir +3

Navigating multi-level menus with complex hierarchies remains a big challenge for blind and low-vision users, who predominantly use screen readers to interact with computers. To th…

cs.HC2024★ 6 cited

Wheeler: A Three-Wheeled Input Device for Usable, Efficient, and Versatile Non-Visual Interaction

Md Touhidul Islam, Noushad Sojib, Imran Kabir +3

Blind users rely on keyboards and assistive technologies like screen readers to interact with user interface (UI) elements. In modern applications with complex UI hierarchies, navi…

cs.HC2024★ 3 cited

Emerging Practices for Large Multimodal Model (LMM) Assistance for People with Visual Impairments: Implications for Design

Jingyi Xie, Rui Yu, He Zhang +3

People with visual impairments perceive their environment non-visually and often use AI-powered assistive tools to obtain textual descriptions of visual information. Recent large v…

cs.CV2024

A Dataset for Crucial Object Recognition in Blind and Low-Vision Individuals' Navigation

Md Touhidul Islam, Imran Kabir, Elena Ariel Pearce +2

This paper introduces a dataset for improving real-time object recognition systems to aid blind and low-vision (BLV) individuals in navigation tasks. The dataset comprises 21 video…

cs.HC2022

Feasibility of Interactive 3D Map for Remote Sighted Assistance

Jingyi Xie, Rui Yu, Sooyeon Lee +3

Remote sighted assistance (RSA) has emerged as a conversational assistive technology, where remote sighted workers, i.e., agents, provide real-time assistance to users with vision…