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• AI That Moves With You: A Review of Interactive Technologies Powered by Large Foundation Models for Mobility Impairment

  Duosi Dai, Yuchong Zhang, Yong Ma, Danica Kragic · 2026 · Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems (CHI '26)

  This paper is a scoping review (PRISMA-ScR) of how large foundation models - LLMs, large vision models, and vision-language models - are being woven into interactive assistive technologies for people with mobility impairments, covering publications from January 2020 to May 2025.…

  foundation model · large language model · vision-language model · literature review · scoping review

• Say It My Way: Exploring Control in Conversational Visual Question Answering with Blind Users

  Farnaz Zamiri Zeraati, Yang Cao, Yuehan Qiao, Hal Daumé III, Hernisa Kacorri · 2026 · Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems (CHI '26)

  This CHI 2026 paper investigates how blind users can exert control over responses generated by conversational visual question answering (VQA) systems built on vision-language models. While prompting and steering techniques are well established in general-purpose generative AI,…

  blind users · generative AI · visual question answering · VQA · personalization

• Bridging Visual Asymmetry: Exploring AI-Mediated Communication Support for Parents with Visual Impairments and Their Sighted Children in Outdoor Informal Learning

  Yutong Jiang, Zixuan Zhang, Jiaying Xu, Qingyun Zheng, Qian Guo, Qinyang Wang, Qi Wang, Guanhong Liu · 2026 · Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems (CHI '26)

  This CHI 2026 paper investigates how AI-mediated communication can support parents with visual impairments (PVI) in engaging their sighted children during outdoor informal learning - settings like parks, insect houses, and museums where unplanned, visually-driven discovery is…

  parents with visual impairments · mixed-ability collaboration · family informal learning · large language model · conversational guidance

• From Preference to Performance: Patient-Centered Design of Multimodal Cueing in Parkinson's Disease Gait Training

  Xinjin Li, Wenjie Wang, Kai Wang, Houzhen Tuo, Xiaolong Ma, Xiaohui Tan, Wei Sun, Feng Tian, Xiaojuan Ma · 2026 · Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems (CHI '26)

  This CHI 2026 paper reports a patient-centered design and evaluation of a wearable multimodal cueing system for gait rehabilitation in early-stage Parkinson's disease (PD). The authors first run semi-structured interviews with 10 early-stage PD patients and 5 clinicians (3…

  parkinson's disease · gait training · multimodal cueing · rehabilitation · wearable technology

• Somatic Drawing Tool: 3D Body Sheet as Material for Articulating Synaesthetic Experiences

  Mamoru Watanabe, Oussama Metatla, Atau Tanaka · 2026 · Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems (CHI '26)

  This CHI 2026 paper reports a three-year participatory co-design cycle with synaesthetes - people who involuntarily experience cross-sensory perceptions such as seeing colours when hearing music or feeling tactile sensations when reading letters. The authors argue that…

  synaesthesia · sensory articulation · soma design · body sheet · VR drawing

• Social Play Between Deaf and Hard of Hearing Children and Hearing Peers: Learning from Children and School Ecosystems

  Jing Zhao, Isabel Neto, Michaela Okosi, Paulo Vaz de Carvalho, Hugo Nicolau · 2026 · Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems (CHI '26)

  This CHI 2026 paper investigates how Deaf and Hard of Hearing (DHH) children and their hearing peers engage in social play on school playgrounds, and how the surrounding school ecosystem shapes those interactions. The authors frame the work with Bronfenbrenner's ecological model…

  deaf and hard of hearing · DHH children · social play · school ecosystem · peer culture

• LingoLift: Supporting Educators in Personalized Oral Language Teaching for Autistic Children through Content Generation

  Jiawen Zhang, Dongyijie Primo Pan, Li Wang, Pan Hui, Xin Tong · 2026 · Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems (CHI '26)

  This CHI 2026 paper presents LingoLift, a generative AI system that supports special-education teachers and speech-language pathologists in preparing and delivering personalized oral language lessons for autistic children. The authors argue that existing autism-language tech…

  autism spectrum disorder · personalized learning · generative AI · oral language learning · human-AI collaboration

• Interface Support for Evaluating Disability Bias in AI-Generated Images

  Kelly Avery Mack, Lucy Jiang, Lotus Zhang, Leah Findlater · 2026 · Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems (CHI '26)

  Mack and colleagues investigate whether interface-level interventions can help users of generative text-to-image (T2I) tools recognise and avoid disability stereotypes in AI-generated images. The authors frame the work around a gap in AI safety: while model-side debiasing is an…

  AI bias · generative AI · text-to-image · disability representation · disability stereotypes

• User Experience of Autonomous Ferries: What Passengers Need and How to Design for It

  Felix-Marcel Petermann, Ole Andreas Alsos, Mina Saghafian, Erik Veitch, Grace Winifred Turner, Maria Letizia Potenza · 2026 · Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems (CHI '26)

  Petermann and colleagues report one of the first in-depth qualitative studies of passenger experience on an autonomous urban ferry, drawing on 164 post-ride semi-structured interviews conducted during a three-week public trial of milliAmpere 2 in Trondheim, Norway, in autumn…

  autonomous vehicles · autonomous ferry · public transport accessibility · human-machine interface · automation transparency

• Disqualified by Disability: The Exclusion of Disabled Workers by Digitized Hiring Assessments

  Michal Luria, Matthew U. Scherer, Ariana Aboulafia, Dhanaraj Thakur · 2026 · Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems (CHI '26)

  Luria, Scherer, Aboulafia, and Thakur — researchers at the Center for Democracy and Technology — conduct a qualitative, human-centered study of how "digitized assessments" (personality tests, gamified cognitive tests, situational judgement tests, emotional intelligence tests,…

  AI hiring · algorithmic hiring · digitized assessments · automated employment decision systems · AEDT

• From Barriers to Blueprints: A Critical Systematic Review of Older Adults and Social VR

  Sho Conte, Cosmin Munteanu, Aava Sapkota · 2026 · Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems (CHI '26)

  Conte, Munteanu, and Sapkota conduct a critical systematic review of 85 HCI papers (2017-2024) on older adults and social VR, arguing that the dominant narrative — which frames older adults as deficient users who struggle to adopt VR — is itself a product of flawed research…

  social VR · older adults · ageism · epistemic injustice · resistant reading

• Infrastructuring as Collective Resistance: How Disabled Students Negotiate Access Through Technology in Universities

  Carolyn Kim Ly, Trevor Cross, Selin Tasman, Jocelyn Mattka, Olivia Doggett, Megh Marathe, Priyank Chandra · 2026 · Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems (CHI '26)

  Ly, Cross, Tasman, Mattka, Doggett, Marathe, and Chandra examine how disabled students at a large Canadian university collectively negotiate access when the institution's individualised accommodations system fails them. Through semi-structured interviews (60-90 min) with 13…

  higher education accessibility · access work · infrastructuring · mutual aid · disability justice

• MYOLINK esports: Exploring EMG-based Control Interface through Muscle Activation and Inhibition to Enable Common Gameplay Mechanics among Players with and without Physical Disabilities

  Masato Shindo, Shiina Takano, Shuto Sako, Akihiro Miyata, Ryosuke Aoki · 2026 · Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems (CHI '26)

  Shindo, Takano, Sako, Miyata, and Aoki (NTT and Nihon University) propose MYOLINK esports, a paradigm for inclusive competitive gaming that shifts game control from kinematic inputs (body position and posture) to kinetic inputs (muscle force). Four surface-EMG sensors are placed…

  esports · inclusive esports · electromyography · EMG · game accessibility

• HapticLens: Interactive Vibrotactile Haptic Generation from Spatially Localized Video Motion

  Kevin John, Hasti Seifi · 2026 · Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems (CHI '26)

  HapticLens is an interactive method for generating single-actuator vibrotactile signals from arbitrary video content by letting a designer select a spatial region of interest and converting motion within that region into a vibration waveform in real time. The authors motivate…

  haptics · vibrotactile feedback · video-to-haptics · computer vision · multimodal interaction

• When Audio Is Enough: Design-Tradeoffs in Multi-Story MR Navigation

  Bilgehan Cagiltay, Selim Balcisoy · 2026 · Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems (CHI '26)

  This CHI '26 exploratory study asks when an augmented-reality navigation aid can rely on audio alone. The authors argue that visual-first MR interfaces impose extra cognitive load and attention tunneling in high-stakes, cognitively demanding settings (e.g., first responders,…

  mixed reality · audio augmented reality · spatial audio · indoor navigation · wayfinding

• Touching a Cat Without Touch: Does Mid-Air Ultrasound Haptic Feedback Promote Relaxation in Virtual Cat Interaction?

  Juro Hosoi, Yuki Ban, Shin'ichi Warisawa · 2026 · Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems (CHI '26)

  Hosoi and colleagues investigate whether mid-air ultrasound haptics — tactile sensations produced by focused acoustic radiation pressure, with no device worn on the user's skin — can convey the feel of a virtual cat convincingly enough to support relaxation in VR. The paper…

  mid-air haptics · ultrasound haptics · virtual reality · haptic feedback · human-animal interaction

• SituFont: A Just-in-Time Adaptive Intervention Interface for Enhancing Mobile Readability in Situational Visual Impairments

  Jingruo Chen, Kexin Nie, Mingshan Zhang, Chun Yu, Zhiqi Gao, Kun Yue, Yuanchun Shi, Chen Liang · 2026 · Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems (CHI '26)

  SituFont is a smartphone reading interface that treats situational visual impairment (SVI) as a first-class design target and dynamically adjusts font parameters in response to real-time context. The authors argue that static accessibility settings and one-off manual adjustments…

  situational visual impairment · situationally induced impairments and disabilities · adaptive typography · just-in-time adaptive intervention · human-in-the-loop

• Open, Accurate, and Calibration-Free Muscle-Computer Interfaces

  Ethan Eddy, Evan Campbell, Erik J. Scheme, Scott Bateman · 2026 · Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems (CHI '26)

  Eddy and colleagues tackle one of the long-standing barriers to practical muscle-computer interfaces (MCIs): that accurate, cross-user gesture recognition from forearm EMG has historically required either per-user calibration or access to closed datasets and proprietary…

  muscle-computer interface · electromyography · EMG · gesture recognition · machine learning

• AI4XR: AI in Extended Reality for 3D Scene Editing and Accessibility Design

  Junlong Chen · 2026 · Extended Abstracts of the 2026 CHI Conference on Human Factors in Computing Systems (CHI EA '26) — Doctoral Consortium

  This CHI '26 Doctoral Consortium paper summarises Junlong Chen's PhD research at the University of Cambridge on integrating AI — specifically large language models (LLMs) and vision-language models (VLMs) — into extended reality (XR) workflows. The research covers two…

  extended reality · virtual reality · artificial intelligence · large language models · vision-language models

• Steering Generative Models for Accessibility: EasyRead Image Generation

  Nicolas Dickenmann, Yanis Merzouki, Sonia Laguna, Thy Nowak-Tran, Emanuele Palumbo, Julia E. Vogt, Gerda Binder · 2026 · Extended Abstracts of the 2026 CHI Conference on Human Factors in Computing Systems (CHI EA '26)

  Dickenmann and colleagues (ETH Zurich and UNICEF Digital Impact Division) present the first open-source pipeline for generating Easy Read-style pictograms using a fine-tuned diffusion model. Easy Read pairs short sentences with simple, high-contrast pictograms to support…

  diffusion models · stable diffusion · LoRA · generative AI · cognitive accessibility

• Beyond Additive Design: An Empirical Taxonomy of Multimodal STEM Accessibility Systems

  Madjid Sadallah, Benoit Encelle · 2026 · Extended Abstracts of the 2026 CHI Conference on Human Factors in Computing Systems (CHI EA '26)

  Sadallah and Encelle conduct a systematic review of 66 multimodal STEM accessibility systems for blind and visually impaired (BVI) users published between 2015 and 2025, drawn from the ACM Digital Library, IEEE Xplore, OpenAlex, PubMed, and Web of Science. Their central argument…

  STEM accessibility · multimodal interaction · cognitive load · sensory integration · blind and low vision

• Accuracy as Autonomy: How Reliable Information Enables Choice in Wheelchair-Accessible Taxi Services

  Hyunseon Won, Seoyoung Park, Sejung Son, Taenyun Kim, Jinyoung Han · 2026 · Extended Abstracts of the 2026 CHI Conference on Human Factors in Computing Systems (CHI EA '26)

  Won and colleagues (Sungkyunkwan University and Michigan State) investigate how the accuracy of AI-predicted information in accessibility-oriented services affects users' psychological needs and technology acceptance, using Seoul's Wheelchair-Accessible Taxi (WAT) service as a…

  transportation accessibility · wheelchair users · paratransit · self-determination · autonomy

• Real-Time Accessibility Dashboards for Higher Education

  Beatriz Patatas, Carlos Duarte, Leticia Seixas Pereira · 2026 · Extended Abstracts of the 2026 CHI Conference on Human Factors in Computing Systems (CHI EA '26)

  Patatas, Duarte, and Seixas Pereira (University of Lisbon and University of Porto) present an open-source Moodle plugin that integrates real-time PDF accessibility evaluation into the content-upload workflow and aggregates results into an institutional dashboard. The system has…

  higher education accessibility · learning management system · Moodle · PDF accessibility · accessibility monitoring

• Measuring the Semantic Accessibility Gap in LLM-Generated Web UIs

  Tommaso Calo, Alexandra-Elena Gurita, Luigi De Russis · 2026 · Extended Abstracts of the 2026 CHI Conference on Human Factors in Computing Systems (CHI EA '26)

  Calo, Gurita, and De Russis investigate a blind spot of mainstream automated accessibility tools: while scanners like Axe-core reliably catch missing alt attributes or unlabelled form fields (syntactic violations), they cannot tell whether the values present are actually…

  web accessibility · large language models · LLM code generation · semantic accessibility · WCAG

• The Perceptual Gap: Why We Need Accessible XAI for Assistive Technologies

  Shadab H. Choudhury · 2026 · Extended Abstracts of the 2026 CHI Conference on Human Factors in Computing Systems (CHI EA '26)

  Choudhury (University of Maryland, Baltimore County) presents a position paper and targeted literature review arguing that explainable AI (XAI) — the body of methods that help users understand why a black-box model produced a particular output — is fundamentally inaccessible to…

  explainable AI · XAI · artificial intelligence · blind and low vision · deaf and hard of hearing