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• A Comparison of Touchscreen and Mouse for Real-World and Abstract Tasks with Older Adults

  Sung-Hee Kim, Kailun Zhang, Joanna McGrenere, Kellogg S. Booth, Claudia Jacova · 2020 · ACM Transactions on Accessible Computing

  This study investigates whether input device choice (touchscreen vs. mouse) affects performance on computerized cognitive tests for older adults, with implications for the C-TOC (Cognitive Testing on Computer) project developing self-administered online cognitive screening. As…

  older adults · aging · touchscreen · input devices · cognitive testing

• Mental Maps and the Use of Sensory Information by Blind and Partially Sighted People

  Marion Hersh · 2020 · ACM Transactions on Accessible Computing

  This qualitative study addresses a significant gap in understanding how blind and partially sighted people form and use spatial representations (mental maps) during real-world travel. Through semi-structured interviews with 100 participants across five countries (France, Italy,…

  blindness · low vision · orientation and mobility · wayfinding · cognitive maps

• Critical Reflections on Technology to Support Physical Activity among Older Adults: An Exploration of Leading HCI Venues

  Kathrin Gerling, Mo Ray, Vero Vanden Abeele, Adam B. Evans · 2020 · ACM Transactions on Accessible Computing

  This critical review examines how "active ageing" policy discourse has influenced HCI research on technology supporting physical activity for older adults. Through a structured search of leading HCI venues (1997-2017), the authors identified 22 papers representing 18 unique…

  older adults · aging · physical activity · active ageing · exergames

• Rescribe: Authoring and Automatically Editing Audio Descriptions

  Amy Pavel, Gabriel Reyes, Jeffrey P. Bigham · 2020 · Proceedings of the 33rd Annual ACM Symposium on User Interface Software and Technology (UIST '20)

  This paper introduces Rescribe, a tool that helps authors create and refine audio descriptions for videos. Audio descriptions make video content accessible to blind and visually impaired viewers by narrating important visual information during gaps in the existing audio track. A…

  audio description · video accessibility · blind and low vision · NLP · sentence compression

• SpokeSense: Developing a Real-Time Sensing Platform for Wheelchair Sports

  Patrick Carrington, Gierad Laput, Jeffrey P. Bigham · 2020 · SIGACCESS Access. Comput.

  This paper presents SpokeSense, a wheel-mounted sensing platform designed to track and analyze wheelchair basketball performance in real time. While substantial work has gone into sensing and analytics for mainstream sports, wheelchair sports have received relatively little…

  wheelchair sports · adaptive sports · wheelchair basketball · wearable technology · sensors

• Automated Class Discovery and One-Shot Interactions for Acoustic Activity Recognition

  Jason Wu, Chris Harrison, Jeffrey P. Bigham, Gierad Laput · 2020 · Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems (CHI '20)

  This paper presents Listen Learner, an end-to-end system for acoustic activity recognition that automatically discovers and learns to classify environmental sounds with minimal user effort. Traditional approaches to sound recognition face a tradeoff: custom models trained in a…

  acoustic activity recognition · smart home · machine learning · Internet of Things · context awareness

• Conversational Agency in Augmentative and Alternative Communication

  Stephanie Valencia, Amy Pavel, Jared Santa Maria, Seunga (Gloria) Yu, Jeffrey P. Bigham, Henny Admoni · 2020 · CHI Conference on Human Factors in Computing Systems

  This paper introduces conversational agency as a new framework for studying how augmented communicators (ACs) — people who use AAC devices to speak — participate in and influence conversations. While prior AAC research has focused primarily on improving device throughput and…

  AAC · augmentative and alternative communication · cerebral palsy · conversational agency · communication partners

• Twitter A11y: A Browser Extension to Make Twitter Images Accessible

  Cole Gleason, Amy Pavel, Emma McCamey, Christina Low, Patrick Carrington, Kris M. Kitani, Jeffrey P. Bigham · 2020 · CHI Conference on Human Factors in Computing Systems

  This paper presents Twitter A11y, a browser extension designed to address the widespread lack of alternative text on images posted to Twitter. The authors note that while around 12% of Twitter content consists of images, only 0.1% of those images include user-provided alt text,…

  social media accessibility · alternative text · screen readers · image accessibility · optical character recognition

• 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

• Deaf Individuals' Views on Speaking Behaviors of Hearing Peers when Using an Automatic Captioning App

  Matthew Seita, Matt Huenerfauth · 2020 · Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems (CHI EA '20)

  This CHI 2020 Late-Breaking Work paper investigates what behaviors hearing speakers should ideally exhibit when holding in-person conversations with Deaf or deaf people using an Automatic Speech Recognition (ASR) captioning app on a mobile device. The authors position the study…

  automatic speech recognition · deaf and hard of hearing · captioning · captions · speaking behavior

• Accessibility for Deaf and Hard of Hearing Users: Sign Language Conversational User Interfaces

  Abraham Glasser, Vaishnavi Mande, Matt Huenerfauth · 2020 · Proceedings of the 2nd Conference on Conversational User Interfaces (CUI '20)

  This short CUI 2020 position paper (3 pages, presented at the CUI@CHI workshop) lays out the research agenda for making voice-based conversational user interfaces (CUIs) — Alexa, Google Assistant, and similar personal assistant devices — accessible to Deaf and Hard-of-Hearing…

  deaf and hard of hearing · sign language · conversational user interfaces · personal assistants · american sign language

• Automatic Text Simplification Tools for Deaf and Hard of Hearing Adults: Benefits of Lexical Simplification and Providing Users with Autonomy

  Oliver Alonzo, Matthew Seita, Abraham Glasser, Matt Huenerfauth · 2020 · Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems (CHI '20)

  This CHI 2020 paper is the first empirical study of lexical Automatic Text Simplification (ATS) with Deaf and Hard-of-Hearing (DHH) adult readers, and introduces user autonomy as a central design variable in accessibility ATS tools. Prior ATS research with DHH users had looked…

  automatic text simplification · deaf and hard of hearing · lexical simplification · user autonomy · reading accessibility

• Empirical Investigation of Users' Preferred Timing Parameters for American Sign Language Animations

  Sedeeq Al-khazraji, Becca Dingman, Matt Huenerfauth · 2020 · Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems (CHI EA '20)

  This CHI 2020 Late-Breaking Work (7 pages) investigates a narrow but consequential HCI question: what timing values should be used when generating American Sign Language (ASL) animations from a script, so that Deaf viewers find them comfortable to watch? ASL is a primary…

  american sign language · sign language animation · signing avatar · deaf and hard of hearing · web accessibility

• Sign Language Interfaces: Discussing the Field's Biggest Challenges

  Danielle Bragg, Meredith Ringel Morris, Christian Vogler, Raja Kushalnagar, Matt Huenerfauth, Hernisa Kacorri · 2020 · Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems (CHI EA '20)

  This CHI 2020 Special Interest Group (SIG) meeting paper (5 pages) is an organising document rather than a conventional research paper. It convenes HCI and accessibility researchers working on sign-language interfaces around the five calls-to-action laid out in Bragg et al.’s…

  sign language · deaf and hard of hearing · deaf culture · american sign language · research methodology

• Understanding the Motivations of Final-year Computing Undergraduates for Considering Accessibility

  Paula Conn, Taylor Gotfrid, Qiwen Zhao, Rachel Celestine, Vaishnavi Mande, Kristen Shinohara, Stephanie Ludi, Matt Huenerfauth · 2020 · ACM Transactions on Computing Education (TOCE), Vol. 20, No. 2, Article 15

  This 22-page ACM Transactions on Computing Education article asks a question that most accessibility education research has side-stepped: what happens to students’ motivation to build accessible technology two years after a required accessibility-education intervention?…

  accessibility education · computing education · pedagogy · professional development · qualitative research

• Deep Learning Compensation of Rotation Errors During Navigation Assistance for People with Visual Impairments or Blindness

  Dragan Ahmetovic, Sergio Mascetti, Cristian Bernareggi, João Guerreiro, Uran Oh, Chieko Asakawa · 2019 · ACM Transactions on Accessible Computing (TACCESS)

  This paper addresses a critical but often overlooked problem in turn-by-turn navigation assistance for people with visual impairments or blindness (VIB): rotation errors at turning points. While much navigation research focuses on improving localization accuracy, this work…

  navigation assistance · visual impairment · blindness · deep learning · turn-by-turn navigation

• Find and Seek: Assessing the Impact of Table Navigation on Information Look-up with a Screen Reader

  Kristin Williams, Taylor Clarke, Steve Gardiner, John Zimmerman, Anthony Tomasic · 2019 · ACM Transactions on Accessible Computing (TACCESS)

  This paper challenges the widely held assumption that HTML tables are inherently inaccessible to screen reader users. Web designers use visual cues like layout, typography, and spatial grouping to help sighted users navigate and understand page content, but screen readers…

  screen readers · web accessibility · table navigation · spatial layout · cognitive load

• Interactive Technologies Designed for Children with Autism: Reports of Use and Desires from Parents, Teachers, and Therapists

  Cynthia Putnam, Christina Hanschke, Jennifer Todd, Jonathan Gemmell, Mia Kollia · 2019 · ACM Transactions on Accessible Computing (TACCESS)

  This paper examines how parents, teachers, and therapists use, perceive, discover, and desire interactive technologies for children with autism spectrum disorder (ASD). The research combined 19 semi-structured interviews and 230 survey responses from caregivers across the United…

  autism · children · interactive technology · assistive technology · stakeholder perspectives

• NavCog3 in the Wild: Large-scale Blind Indoor Navigation Assistant with Semantic Features

  Daisuke Sato, Uran Oh, João Guerreiro, Dragan Ahmetovic, Kakuya Naito, Hironobu Takagi, Kris M. Kitani, Chieko Asakawa · 2019 · ACM Transactions on Accessible Computing (TACCESS)

  This paper presents NavCog3, a smartphone-based indoor navigation assistant for people with visual impairments that combines high-accuracy Bluetooth beacon localization with rich semantic environmental features. The system uses off-the-shelf BLE beacons installed in the…

  indoor navigation · visual impairment · blindness · Bluetooth beacons · localization

• Designing and Evaluating a Customizable Head-mounted Vision Enhancement System for People with Low Vision

  Yuhang Zhao, Sarit Szpiro, Lei Shi, Shiri Azenkot · 2019 · ACM Transactions on Accessible Computing (TACCESS)

  This paper presents ForeSee, a customizable head-mounted display (HMD) system that enhances the visual experience of people with low vision using real-time image processing techniques. The system offers five enhancement methods — magnification, contrast enhancement, edge…

  low vision · head-mounted display · vision enhancement · magnification · edge enhancement

• Design and Psychometric Evaluation of American Sign Language Translations of Usability Questionnaires

  Larwan Berke, Matt Huenerfauth, Kasmira Patel · 2019 · ACM Transactions on Accessible Computing (TACCESS)

  This paper presents the first formally translated and psychometrically validated American Sign Language (ASL) versions of two widely used usability questionnaires: the System Usability Scale (SUS) and the Net Promoter Score (NPS). Many deaf adults in the United States have lower…

  American Sign Language · deaf and hard of hearing · usability questionnaires · psychometrics · SUS