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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 vision-language model-based AI-powered tools like Be My AI…

Human-Computer Interaction · Computer Science 2024-07-15 Jingyi Xie , Rui Yu , He Zhang , Sooyeon Lee , Syed Masum Billah , John M. Carroll

This paper explores the effectiveness of Multimodal Large Language models (MLLMs) as assistive technologies for visually impaired individuals. We conduct a user survey to identify adoption patterns and key challenges users face with such…

Multimodal large language models (MLLMs) are changing how Blind and Low Vision (BLV) people access visual information. Unlike traditional visual interpretation tools that only provide descriptions, MLLM-enabled applications offer…

Human-Computer Interaction · Computer Science 2026-02-20 Ricardo E. Gonzalez Penuela , Crescentia Jung , Sharon Y Lin , Ruiying Hu , Shiri Azenkot

Individuals with visual impairments, encompassing both partial and total difficulties in visual perception, are referred to as visually impaired (VI) people. An estimated 2.2 billion individuals worldwide are affected by visual impairments.…

Computer Vision and Pattern Recognition · Computer Science 2024-04-04 Bufang Yang , Lixing He , Kaiwei Liu , Zhenyu Yan

Visually Impaired Assistance (VIA) aims to automatically help the visually impaired (VI) handle daily activities. The advancement of VIA primarily depends on developments in Computer Vision (CV) and Natural Language Processing (NLP), both…

Computation and Language · Computer Science 2024-02-13 Yi Zhao , Yilin Zhang , Rong Xiang , Jing Li , Hillming Li

It is a challenging task for visually impaired people to perceive their surrounding environment due to the complexity of the natural scenes. Their personal and social activities are thus highly limited. This paper introduces a Large…

Computer Vision and Pattern Recognition · Computer Science 2025-04-28 Zezhou Chen , Zhaoxiang Liu , Kai Wang , Kohou Wang , Shiguo Lian

As social virtual reality (VR) grows more popular, addressing accessibility for blind and low vision (BLV) users is increasingly critical. Researchers have proposed an AI "sighted guide" to help users navigate VR and answer their questions,…

Human-Computer Interaction · Computer Science 2026-03-31 Jazmin Collins , Sharon Y Lin , Tianqi Liu , Andrea Stevenson Won , Shiri Azenkot

Access to non-verbal cues in social interactions is vital for people with visual impairment. It has been shown that non-verbal cues such as eye contact, number of people, their names and positions are helpful for individuals who are blind.…

Computers and Society · Computer Science 2017-11-30 M. Saquib Sarfraz , Angela Constantinescu , Melanie Zuzej , Rainer Stiefelhagen

Existing assistive technologies (AT) often adopt a one-size-fits-all approach, overlooking the diverse needs of people with visual impairments (PVI). Do-it-yourself AT (DIY-AT) toolkits offer one path toward customization, but most remain…

Human-Computer Interaction · Computer Science 2026-02-17 Ben Kosa , Hsuanling Lee , Jasmine Li , Sanbrita Mondal , Yuhang Zhao , Liang He

Blind and Low Vision (BLV) people have adopted AI-powered visual interpretation applications to address their daily needs. While these applications have been helpful, prior work has found that users remain unsatisfied by their frequent…

Human-Computer Interaction · Computer Science 2025-03-11 Ricardo E. Gonzalez Penuela , Ruiying Hu , Sharon Lin , Tanisha Shende , Shiri Azenkot

People with blindness and low vision (pBLV) face significant challenges, struggling to navigate environments and locate objects due to limited visual cues. Spatial reasoning is crucial for these individuals, as it enables them to understand…

Computer Vision and Pattern Recognition · Computer Science 2025-05-19 Alexey Magay , Dhurba Tripathi , Yu Hao , Yi Fang

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

Human-Computer Interaction · Computer Science 2024-10-08 He Zhang , Nicholas J. Falletta , Jingyi Xie , Rui Yu , Sooyeon Lee , Syed Masum Billah , John M. Carroll

Large Vision-Language Models (VLMs) excel at understanding and generating video descriptions but their high memory, computation, and deployment demands hinder practical use particularly for blind and low-vision (BLV) users who depend on…

Computer Vision and Pattern Recognition · Computer Science 2025-11-14 Shruti Singh Baghel , Yash Pratap Singh Rathore , Sushovan Jena , Anurag Pradhan , Amit Shukla , Arnav Bhavsar , Pawan Goyal

Large vision-language models (VLMs) can assist visually impaired people by describing images from their daily lives. Current evaluation datasets may not reflect diverse cultural user backgrounds or the situational context of this use case.…

Computer Vision and Pattern Recognition · Computer Science 2024-07-09 Antonia Karamolegkou , Phillip Rust , Yong Cao , Ruixiang Cui , Anders Søgaard , Daniel Hershcovich

In this paper, we advance the study of AI-augmented reasoning in the context of Human-Computer Interaction (HCI), psychology and cognitive science, focusing on the critical task of visual perception. Specifically, we investigate the…

Human-Computer Interaction · Computer Science 2025-04-18 Shravan Chaudhari , Trilokya Akula , Yoon Kim , Tom Blake

People with visual impairments (PVI) use a variety of assistive technologies to navigate their daily lives, and conversational AI (CAI) tools are a growing part of this toolset. Much existing HCI research has focused on the technical…

Human-Computer Interaction · Computer Science 2025-10-15 Jeanne Choi , Dasom Choi , Sejun Jeong , Hwajung Hong , Joseph Seering

In the rapidly evolving landscape of AI-mediated communication (AIMC), tools powered by Large Language Models (LLMs) are becoming integral to interpersonal communication. Employing a mixed-methods approach, we conducted a one-week diary and…

Human-Computer Interaction · Computer Science 2024-03-12 Yue Fu , Sami Foell , Xuhai Xu , Alexis Hiniker

Recent development of Large Vision-Language Models (LVLMs) has attracted growing attention within the AI landscape for its practical implementation potential. However, ``hallucination'', or more specifically, the misalignment between…

Computer Vision and Pattern Recognition · Computer Science 2024-05-07 Hanchao Liu , Wenyuan Xue , Yifei Chen , Dapeng Chen , Xiutian Zhao , Ke Wang , Liping Hou , Rongjun Li , Wei Peng

Visual impairment affects the ability of people to live a life like normal people. Such people face challenges in performing activities of daily living, such as reading, writing, traveling and participating in social gatherings. Many…

Computer Vision and Pattern Recognition · Computer Science 2024-12-31 Mirza Samad Ahmed Baig , Syeda Anshrah Gillani , Shahid Munir Shah , Mahmoud Aljawarneh , Abdul Akbar Khan , Muhammad Hamzah Siddiqui

Large Language Models (LLMs) are rapidly becoming integral to a wide range of tools, tasks, and problem-solving processes, especially in software development. Originally designed for natural language processing tasks such as text…

Human-Computer Interaction · Computer Science 2025-04-25 Prashant Chandrasekar , Mariel Couvillion , Ayshwarya Saktheeswaran , Jessica Zeitz
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