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• Blind Leading the Sighted: Drawing Design Insights from Blind Users towards More Productivity-oriented Voice Interfaces

  Ali Abdolrahmani, Kevin M. Storer, Antony Rishin Mukkath Roy, Ravi Kuber, Stacy M. Branham · 2020 · ACM Transactions on Accessible Computing (TACCESS)

  This paper investigates how people who are blind use voice-activated personal assistants (VAPAs) like Amazon Alexa, Google Assistant, and Apple Siri, arguing that blind users are expert voice interface users whose insights can improve VAPA design for everyone. The research…

  voice user interface · voice-activated personal assistant · blindness · visual impairment · smart speakers

• Fairness Issues in AI Systems that Augment Sensory Abilities

  Leah Findlater, Steven Goodman, Yuhang Zhao, Shiri Azenkot, Margot Hanley · 2020 · SIGACCESS Accessibility and Computing

  This paper examines the unique fairness challenges that arise when AI systems are used to augment sensory abilities for people with disabilities — a context distinct from other AI applications because these systems provide information that is already available to non-disabled…

  AI fairness · sensory augmentation · visual impairment · deaf and hard of hearing · privacy

• Indoor Localization for Visually Impaired Travelers Using Computer Vision on a Smartphone

  Giovanni Fusco, James M. Coughlan · 2020 · Proceedings of the 17th International Web for All Conference (W4A)

  This paper presents a computer vision-based indoor localization system that runs as a real-time app on a conventional iPhone, designed to help blind and visually impaired travelers navigate indoor spaces where GPS is unavailable. The system combines several technologies into a…

  indoor navigation · wayfinding · computer vision · visual impairment · blindness

• Supporting the Design of Data Visualisation for the Visually Impaired through Reinforcement Learning

  Dalal Aljasem · 2020 · Proceedings of the 17th International Web for All Conference (W4A)

  This doctoral consortium paper presents a research programme aimed at making data visualizations more accessible to people with partial vision loss, specifically those with peripheral vision damage (tunnel vision from conditions like glaucoma) or central vision loss (from…

  data visualization · visual impairment · reinforcement learning · visual search · machine learning

• Teaching Digital Fabrication to Early Intervention Specialists for Designing Their Own Tools

  Florian Güldenpfennig, Peter Fikar, Roman Ganhör · 2020 · Proceedings of the 22nd International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS '20)

  This demonstration paper describes a co-design project in which researchers from New Design University and TU Wien taught basic digital fabrication skills to four experienced early intervention therapists who work with children with cerebral visual impairment (CVI). CVI is an…

  digital fabrication · DIY assistive technology · co-design · early intervention · cerebral visual impairment

• Disability and the COVID-19 Pandemic: Using Twitter to Understand Accessibility during Rapid Societal Transition

  Cole Gleason, Stephanie Valencia, Lynn Kirabo, Jason Wu, Anhong Guo, Elizabeth Jeanne Carter, Jeffrey P. Bigham, Cynthia Bennett, Amy Pavel · 2020 · Proceedings of the 22nd International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS 2020)

  This Carnegie Mellon University study uses Twitter data to examine how the COVID-19 pandemic disproportionately affected people with disabilities (PWD) across three critical domains where technology and accessibility intersect: grocery delivery services, remote education, and…

  COVID-19 · disability · social media · Twitter · emergency preparedness

• Playing With Others: Depicting Multiplayer Gaming Experiences of People With Visual Impairments

  David Gonçalves, André Rodrigues, Tiago Guerreiro · 2020 · Proceedings of the 22nd International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS)

  This study investigates the multiplayer gaming experiences of people with visual impairments, an area largely unexplored despite growing research on game accessibility. The researchers conducted semi-structured interviews with 10 blind adults and 10 visually impaired minors,…

  game accessibility · visual impairment · mixed-ability interaction · social inclusion · multiplayer gaming

• Supporting Selfie Editing Experiences for People with Visual Impairments

  Soobin Park · 2020 · Proceedings of the 22nd International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS)

  This short paper investigates the selfie editing experiences and desires of people with visual impairments (PVI), a topic largely overlooked despite research showing that PVI actively participate in social media and photo sharing. The study has two parts: an online survey of 47…

  visual impairment · social media accessibility · photo editing · voice interface · blindness

• Creating Accessible Online Floor Plans for Visually Impaired Readers

  Anuradha Madugalla, Kim Marriott, Simone Marinai, Samuele Capobianco, Cagatay Goncu · 2020 · ACM Transactions on Accessible Computing

  This paper presents a generic model for converting online graphics—specifically house floor plans—into accessible formats for blind and severely vision-impaired users. The model supports both fully automatic and semi-automatic transcription, allowing sighted users to correct…

  visual impairment · blindness · floor plans · tactile graphics · image recognition

• Experimental Analysis of a Spatialised Audio Interface for People with Visual Impairments

  Jacobus C. Lock, Iain D. Gilchrist, Grzegorz Cielniak, Nicola Bellotto · 2020 · ACM Transactions on Accessible Computing

  This paper evaluates a spatialised audio interface designed to help people with visual impairments find objects in indoor environments. Part of the ActiVis project, the system uses a Google Project Tango mobile device with RGB-D cameras for localization and Aftershokz…

  visual impairment · blindness · navigation · spatial audio · bone conduction

• VectorEntry: Text Entry Mechanism Using Handheld Touch-Enabled Mobile Devices for People with Visual Impairments

  Debasis Samanta, Tuhin Chakraborty · 2020 · ACM Transactions on Accessible Computing

  This research develops VectorEntry, a gesture-based text entry system for touchscreen mobile devices designed specifically for people with visual impairments. The authors conducted two preliminary studies to understand how users with visual impairments perform directional…

  visual impairment · blindness · text entry · mobile accessibility · touchscreen

• O&M Indoor Virtual Environments for People Who Are Blind: A Systematic Literature Review

  Agebson Rocha Façanha, Ticianne Darin, Windson Viana, Jaime Sánchez · 2020 · ACM Transactions on Accessible Computing

  This systematic literature review examines virtual environments designed to support indoor orientation and mobility (O&M) training for people who are blind. The authors analyzed 51 papers describing 32 distinct O&M virtual environments, filtering from an initial pool of 987…

  orientation and mobility · O&M training · virtual environments · blindness · visual impairment

• Design Guidelines and Recommendations for Multimodal, Touchscreen-based Graphics

  Jenna L. Gorlewicz, Jennifer L. Tennison, Hari Prasath Palani, Nicholas A. Giudice · 2020 · ACM Transactions on Accessible Computing

  This paper presents comprehensive design guidelines for creating accessible graphics on touchscreen devices using vibration and audio feedback for people with visual impairments. Drawing on over eight years of research, the authors address a critical gap: while touchscreen…

  tactile graphics · touchscreen accessibility · haptic feedback · multimodal interaction · STEM accessibility

• X-Road: Virtual Reality Glasses for Orientation and Mobility Training of People with Visual Impairments

  Lauren Thevin, Carine Briant, Anke M. Brock · 2020 · ACM Transactions on Accessible Computing

  This paper presents X-Road, an affordable and accessible virtual reality system designed for Orientation and Mobility (O&M) training of students with visual impairments. O&M classes teach essential navigation skills like crossing streets, but real-world training poses risks from…

  virtual reality · orientation and mobility · visual impairment · spatial cognition · accessible VR

• Exploring the Needs, Preferences, and Concerns of Persons with Visual Impairments Regarding Autonomous Vehicles

  Julian Brinkley, Earl W. Huff, Briana Posadas, Julia Woodward, Shaundra B. Daily, Juan E. Gilbert · 2020 · ACM Transactions on Accessible Computing

  This paper presents two complementary studies exploring the needs, preferences, and concerns of people with visual impairments regarding autonomous vehicles—a technology that could fundamentally transform mobility for those who cannot drive conventional vehicles. Study 1 was a…

  autonomous vehicles · self-driving cars · visual impairment · mobility · transportation accessibility

• Pedestrian Detection with Wearable Cameras for the Blind: A Two-way Perspective

  Kyungjun Lee, Daisuke Sato, Saki Asakawa, Hernisa Kacorri, Chieko Asakawa · 2020 · Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems

  Wearable cameras — embedded in commercial products like OrCam, Aira, and eSight — promise blind users equitable access to visual information about the people around them: who is approaching, where they are looking, whether eye contact is possible. But the always-on nature of…

  wearable camera · pedestrian detection · social acceptance · face recognition · privacy

• Guiding Blind Pedestrians in Public Spaces by Understanding Walking Behavior of Nearby Pedestrians

  Seita Kayukawa, Tatsuya Ishihara, Hironobu Takagi, Shigeo Morishima, Chieko Asakawa · 2020 · Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT), Vol. 4, No. 3, Article 85

  Collisions with other pedestrians are one of the most common hazards for blind travellers in public space — 87.8% of blind people report colliding or nearly colliding with pedestrians, bicycles, or obstacles. White canes detect contact rather than approach, and guide dogs cannot…

  blind navigation · collision prediction · pedestrian avoidance · visual impairment · audio interface

• Smartphone-Based Assistance for Blind People to Stand in Lines

  Seita Kayukawa, Hironobu Takagi, João Guerreiro, Shigeo Morishima, Chieko Asakawa · 2020 · Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems (CHI EA '20, Late-Breaking Work)

  This CHI 2020 Late-Breaking Work is the preliminary study that seeded the CHI 2021 LineChaser paper by the same research group. Where the fuller LineChaser system would later combine line-end finding with AR-marker-based localisation and a dual audio/vibration interface, this…

  line standing · pedestrian detection · vibration feedback · visual impairment · orientation and mobility

• BlindPilot: A Robotic Local Navigation System that Leads Blind People to a Landmark Object

  Seita Kayukawa, Tatsuya Ishihara, Hironobu Takagi, Shigeo Morishima, Chieko Asakawa · 2020 · Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems (CHI EA '20, Late-Breaking Work)

  Most indoor-navigation research for blind travellers has focused on what the authors call 'global' navigation — getting from a building entrance to a room, gate, or exhibit. The 'last few metres' of the journey, a body-scale interaction with a specific landmark object such as an…

  local navigation · landmark object · blind navigation · indoor navigation · assistive robotics

• ReCog: Supporting Blind People in Recognizing Personal Objects

  Dragan Ahmetovic, Daisuke Sato, Uran Oh, Tatsuya Ishihara, Kris Kitani, Chieko Asakawa · 2020 · Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems

  ReCog is a smartphone application designed to help blind users recognize their own personal objects — items like specific clothing, handmade goods, medicines, or family photos that cannot be identified by general-purpose recognizers such as Seeing AI or TapTapSee. The authors…

  visual impairment · blindness · object recognition · computer vision · deep learning

20 results.