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• Speaker-Aware Affective Captioning for Multi-Speaker STEM Talk in Inclusive Classrooms

  Sunday David Ubur, Denis Gracanin, Stephanie P DeHart, Enoch Katey Akli, Fatemeh Sarshartehrani, Sikiru Adewale · 2026 · Extended Abstracts of the 2026 CHI Conference on Human Factors in Computing Systems (CHI EA '26)

  Ubur and colleagues at Virginia Tech address a specific failure mode of live captioning in classroom and meeting settings: collapsing multi-speaker discourse into a single text stream that obscures who said what and how it was said. They argue this is especially consequential…

  captioning · deaf and hard of hearing · speaker diarization · speech emotion recognition · STEM education

• Reading with Diversity in Mind: Pupillometry and Typography Towards Inclusive Design for ADHD Readers

  Borano Llana, Alisa Baron, Haihan Yu, Maedeh Hosseinpour, Yusra Suhail, Sean Chin, Kushas Khadka, Shaun Wallace · 2026 · Extended Abstracts of the 2026 CHI Conference on Human Factors in Computing Systems (CHI EA '26)

  Llana and colleagues at the University of Rhode Island examine how typographic choices interact with ADHD when reading digital text. The motivation is practical: digital reading is now the default for most education and work, and small typographic decisions (font family, size,…

  readability · typography · ADHD · eye tracking · pupillometry

• Before the Technological Fix: Scoping AI and AAC for Social Futures

  Seray B Ibrahim, Tom Griffiths, Michael Clarke, Simon Judge, Petr Slovak, Graham Pullin, Jeff Higginbotham · 2026 · Extended Abstracts of the 2026 CHI Conference on Human Factors in Computing Systems (CHI EA '26)

  Ibrahim and colleagues - a multi-institution team of researchers working at the intersection of AAC, HCI, and disability studies - argue that the recent surge of HCI work applying AI to Augmentative and Alternative Communication (AAC) is drifting away from where contemporary AAC…

  AAC · augmentative and alternative communication · artificial intelligence · scoping review · social interaction

• Human-Centered Explainable AI for Brain-Computer Interface-driven Rehabilitation

  Param Rajpura · 2026 · Extended Abstracts of the 2026 CHI Conference on Human Factors in Computing Systems (CHI EA ’26)

  This CHI Extended Abstract presents a doctoral research agenda developing human-centered explainable AI (HCXAI) frameworks for brain-computer interfaces (BCIs) used in stroke rehabilitation. Rajpura argues that current BCI systems prioritize technical performance, such as…

  brain-computer interface · explainable AI · stroke rehabilitation · aphasia · human-centered AI

• NarrAid: Supporting Storytelling of People with Aphasia via Generative Visual Scene Displays

  Xiangfei Hu, Xiuqi Zheng, Qi Liu, Zejian Li, Ying Zhang, Lu Wang, Xipei Ren · 2026 · Extended Abstracts of the 2026 CHI Conference on Human Factors in Computing Systems (CHI EA ’26)

  NarrAid is a generative AI-driven Visual Scene Display (VSD) system designed to support storytelling, not just basic wants and needs, for people with aphasia (PWA). The authors argue that existing AAC tools, including traditional VSDs, support functional communication well but…

  aphasia · augmentative and alternative communication · visual scene display · storytelling · generative AI

• Modeling Touch Input for Users with Motor Impairments: Empirical Insights into Training Size Requirements

  Radu-Daniel Vatavu, Irina Petrariu, Tudor Horomnea, Ovidiu-Ciprian Ungurean · 2026 · Extended Abstracts of the 2026 CHI Conference on Human Factors in Computing Systems (CHI EA ’26)

  This CHI Extended Abstract addresses a practical question for ability-based design: how many touch observations do you actually need before you can build a user-specific model of someone's touch performance? Most touch modeling work, including Bayesian Touch and the Dual…

  touch input · motor impairment · ability-based design · adaptive interfaces · touchscreen accessibility

• SocialCue: Exploring the Design Space of Social Wayfinding Assistants for Blind and Low Vision People

  Veronica Bossio Botero, Sidharth Sharma, Ruoyu Iris Xu, Lisa Maria DiSalvo, Ritvik Sharma, Brian A. Smith · 2026 · Extended Abstracts of the 2026 CHI Conference on Human Factors in Computing Systems (CHI EA ’26)

  SocialCue is a wearable technology probe that targets a problem most assistive navigation work ignores: not where to walk, but how to read and act inside an unfolding social scene. The authors argue that existing tools for blind and low vision (BLV) people focus on spatial…

  blind and low vision · social navigation · wayfinding · wearable technology · computer vision

• VisionAid: A Multimodal Assistive Application Supporting Safe Road Navigation for Visually Impaired People in Bangladesh

  Asif Mahbub, Nabil Bin Hannan · 2026 · Extended Abstracts of the 2026 CHI Conference on Human Factors in Computing Systems (CHI EA ’26)

  VisionAid is an Android pedestrian-safety app for blind and low vision (BLV) users in Bangladesh, where road crossing is dangerous because traffic is unstructured: lane discipline is rare, drivers run signals, and crosswalks are inconsistent. The authors argue that…

  blind and low vision · pedestrian navigation · mobile accessibility · computer vision · haptic feedback

• Mnemonic Tracing: Using Eye Gaze to Search for Visual Memories

  Wazeer Zulfikar, Yasith Samaradivakara, Paul Pu Liang, Pattie Maes · 2026 · Extended Abstracts of the 2026 CHI Conference on Human Factors in Computing Systems (CHI EA ’26)

  Mnemonic Tracing is a non-verbal image-retrieval interaction in which a user, wearing eye-tracking glasses, deliberately retraces the contents of a remembered image with their gaze on a blank surface. The paper builds on gaze-reinstatement research, which shows that when people…

  eye tracking · gaze interaction · gaze reinstatement · episodic memory · image retrieval

• LaboSignes: an Interactive French Sign Language Recognition Interface

  Jules Françoise, Julie Lascar, Cyril Verrechia, Sidonie Minodier, Michèle Gouiffès, Annelies Braffort · 2026 · Extended Abstracts of the 2026 CHI Conference on Human Factors in Computing Systems (CHI EA ’26)

  LaboSignes is a web-based interactive French Sign Language (LSF) recognition system aimed at search-by-sign, addressing the fact that most online resources, including bilingual dictionaries and news sites, are navigable only through written French, which is a second language for…

  sign language · French Sign Language · sign language recognition · Deaf accessibility · gesture recognition

• Beyond Prompt-Following: Empowering Social Agency in Autistic Children through Narrative Framing

  Min Zhou, Xinheng Song, Xiaolan Peng, Mingxuan Jin, Soumya C. Barathi · 2026 · Extended Abstracts of the 2026 CHI Conference on Human Factors in Computing Systems (CHI EA ’26)

  NarraSocial is a Unity-based virtual environment for autistic children aged 6–10 that reframes social-skills interventions away from the prompt-and-response loop characteristic of Applied Behavior Analysis (ABA) and most VR-based social skills training. The authors observed…

  autism · autistic children · social agency · narrative design · virtual environment

• CollaDrum: Designing a Tangible Interactive Sonic System to Foster Collaboration in Children with Autism Spectrum Disorder

  Yinhan Gao, Yalong Luo, Wenwei Jiang, Wanling Cai, Yucheng Jin · 2026 · Extended Abstracts of the 2026 CHI Conference on Human Factors in Computing Systems (CHI EA ’26)

  CollaDrum is a co-designed tangible sonic system intended to scaffold task-based peer collaboration for autistic children in classroom settings, with explicit attention to not adding cognitive overhead from novel interaction paradigms. The authors interviewed five educators…

  autism · autistic children · tangible interfaces · classroom technology · collaboration

• Understanding Clinician Experiences with Game-Based Interventions for Autistic Children to Inform a Future Game Platform Focused on Improving Motor Skills

  Hunter M. Beach, Devin Jay D. San Nicolas, Carly Miller, Cathy Ly, Jared Duval · 2026 · Extended Abstracts of the 2026 CHI Conference on Human Factors in Computing Systems (CHI EA ’26)

  This CHI 2026 Extended Abstract reports a two-phase qualitative study with pediatric physical therapists (PTs) and occupational therapists (OTs) to inform the design of AutMotion Studio, a speculative modular platform of motor-skill minigames for autistic children. Up to 87% of…

  autism · motor skills · serious games for health · pediatric therapy · physical therapy

• A Preliminary Study of Wearable Olfactory-Thermal Feedback for Immersive VR Cultural Heritage

  Hanbing Wang, Xiang Li, Kexin Nie, Yunfeng Shu, Xizi Liu, Xiwen Liu, Yingying Liu, Zhixin Cai, Mingjie Zhou, Xianqi Wang, Li Zhao, Chunling Wu, Lie Zhang · 2026 · Extended Abstracts of the 2026 CHI Conference on Human Factors in Computing Systems (CHI EA ’26)

  This CHI 2026 Extended Abstract reports a preliminary between-subjects user study (N=52) of NeckScents, a lightweight neck-worn wearable that delivers short, pre-authored pulses of scented warm airflow near the face to augment audiovisual VR. The authors position the work within…

  virtual reality · multisensory interaction · olfactory display · thermal feedback · cultural heritage

• Collaborative AI Scaffolding for Structured Drawing in Dementia Care: A Feasibility Study

  Hui-Lien Huang, I-Ping Chen · 2026 · Extended Abstracts of the 2026 CHI Conference on Human Factors in Computing Systems (CHI EA ’26)

  This CHI 2026 Extended Abstract reports a one-on-one feasibility study of a tablet-based AI drawing tool for older adults with dementia, conducted at a day-care centre in Taiwan. The system pairs a Google Gemini vision-language model (VLM) with Azure text-to-speech to deliver…

  dementia · older adults · human-AI collaboration · human-in-the-loop · vision-language model

• Pin City Book: A PCB-based Tangible User Interface for Location-based Puzzle Games

  Yibing Chen, Yutong Liu, Zihan Zhou, Yifan Wang, Sihan Wang, Yunyang Di, Quan Li · 2026 · Extended Abstracts of the 2026 CHI Conference on Human Factors in Computing Systems (CHI EA ’26)

  This CHI 2026 Extended Abstract introduces Pin City Book, a PCB-based tangible user interface (TUI) platform for location-based puzzle games (LBPGs). The authors argue that current LBPGs are split between paper kits (cumbersome, no feedback) and mobile apps (screen-bound,…

  tangible user interface · multimodal interaction · location-based games · maker accessibility · haptic feedback

• Demonstrating Eyes-Free Object Retrieval via Fingertip Deflection Guidance Using the NURing

  Tomasz P. Trzpit, Gregory Reardon, Elizabeth Gerber, Pedro Lopes, Michael Peshkin, J. Edward Colgate · 2026 · Extended Abstracts of the 2026 CHI Conference on Human Factors in Computing Systems (CHI EA ’26)

  This CHI 2026 Extended Abstract is an interactive-demo paper introducing a vision-enabled version of NURing, a tendon-driven wearable ring that guides reach by gently deflecting the wearer’s fingertip. The authors frame the work around a recurring report from blind and…

  haptic feedback · kinesthetic feedback · wearable technology · blindness · visual impairment

• ArtfulSign: A Closed-Loop, Semantics-Grounded Mobile System for Learning Chinese Sign Language

  Yuan Zhao, Yueran Wang, Chenglong Tan, Siyang Tong, Dengfeng Yao, Wei Zhen · 2026 · Extended Abstracts of the 2026 CHI Conference on Human Factors in Computing Systems (CHI EA '26)

  ArtfulSign is a mobile iOS application that reframes Chinese Sign Language (CSL) learning as an embodied skill practiced through short closed-loop interaction cycles rather than passive video consumption. The authors argue that most existing sign language learning tools - video…

  Chinese Sign Language · sign language learning · embodied learning · closed-loop interaction · semantic grounding

• Demonstrating InteractiSense: An Interactive Tool for Supporting Social Engagement for Children with ASD

  Won Kim, Chaeyeon Lim, Minwoo Seong, Kangbeen Ko, SeungJun Kim · 2026 · Extended Abstracts of the 2026 CHI Conference on Human Factors in Computing Systems (CHI EA '26)

  InteractiSense is a sensing-integrated tangible prototype paired with a cooperative serious game called Treasure Hunters, designed to support social engagement for children with autism spectrum disorder (ASD). The authors argue that ASD-related differences in cognitive, motor,…

  autism spectrum disorder · children with ASD · social engagement · serious games · tangible interaction

• Demonstrating Consent Rings: Explicit Non-Verbal Consent Through Haptic Wearables as a Solution to Unwanted Sex Between Neurodivergent Partners

  Braeden Burger, Douglas Zytko · 2026 · Extended Abstracts of the 2026 CHI Conference on Human Factors in Computing Systems (CHI EA '26)

  Consent Rings is a pair of symmetric haptic Bluetooth ring wearables developed by three neurodivergent researchers as an accessibility-oriented alternative to verbal 'yes means yes' affirmative consent. The authors situate the work in evidence that neurodivergent people - those…

  neurodivergence · autism · ADHD · consent technology · haptic wearables

• LyreFlute: Sensor-Based Musical Experience for COPD Rehabilitation

  Andreia Valente, Claudio Cotto, Mark Billinghurst, Kunal Gupta · 2026 · Extended Abstracts of the 2026 CHI Conference on Human Factors in Computing Systems (CHI EA '26)

  LyreFlute is a sensor-equipped musical instrument paired with a 3D rhythm game that reframes at-home COPD (Chronic Obstructive Pulmonary Disease) breathing exercises as a culturally grounded, narrative-driven experience. The authors motivate the work with a stark adherence…

  COPD · pulmonary rehabilitation · breathing exercises · biofeedback · serious game