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• ASL Educators' Perspectives on AI for Enhancing Student Learning in American Sign Language Education

  Saad Hassan, Laleh Nourian, Caluã de Lacerda Pataca, Michelle M Olson, Toni D'aurio, Kanupriya Agarwal, Syeda Mah Noor Asad, Garreth W. Tigwell, Matt Huenerfauth · 2026 · CHI '26: Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems

  This CHI 2026 paper from a multi-institution US team (Tulane, Rochester Institute of Technology, Birmingham City University) investigates how AI could support American Sign Language (ASL) education — and centres, for the first time in this literature, the perspectives of the…

  American Sign Language · ASL · sign language education · deaf educators · AI in education

• Autiverse: Eliciting Autistic Adolescents' Daily Narratives through AI-guided Multimodal Journaling

  Migyeong Yang, Kyungah Lee, Jinyoung Han, SoHyun Park, Young-Ho Kim · 2026 · Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems (CHI '26)

  Yang and colleagues present Autiverse, a tablet-based AI-guided multimodal journaling app for autistic adolescents with functional verbal abilities (formerly classified as Level 1 / high-functioning autism). The paper addresses a well-documented gap: although journaling is an…

  autism · adolescents · journaling · large language models · conversational agents

• Investigating the Role of Agentic AI in Facilitating Travel Planning for People with Low Vision

  Ranran Ding, Maryam Bandukda · 2026 · Extended Abstracts of the 2026 CHI Conference on Human Factors in Computing Systems (CHI EA ’26)

  This CHI 2026 Extended Abstract examines a stage of accessible travel that most assistive-technology research has overlooked: the pre-trip planning work people with low vision (PLV) do before ever leaving the house. The authors argue that most existing tools — navigation apps,…

  low vision · wayfinding · agentic AI · large language models · conversational agents

• Investigating Day-to-day Experiences with Conversational Agents by Users with Traumatic Brain Injury

  Hu, Yaxin, Lim, Hajin, Johnson, Hailey L., O'Shaughnessy, Josephine M., Kakonge, Lisa, Turkstra, Lyn, Duff, Melissa, Toma, Catalina, Mutlu, Bilge · 2023 · Proceedings of the 25th International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS)

  This paper presents a four-week in-the-wild field study investigating how nine adults with moderate-to-severe traumatic brain injury (TBI) in the chronic stage (1-19 years post-injury) used Amazon Alexa on Echo Dot devices in their homes. TBI can cause a constellation of…

  traumatic brain injury · conversational agents · voice assistants · cognitive accessibility · assistive technology

• Speaking with My Screen Reader: Using Audio Fictions to Explore Conversational Access to Interfaces

  Mahika Phutane, Crescentia Jung, Niu Chen, Shiri Azenkot · 2023 · ASSETS 2023: The 25th International ACM SIGACCESS Conference on Computers and Accessibility

  This paper explores whether and how human-like conversational assistants could extend the screen reader experience for blind and low vision (BLV) users. Current screen readers provide linear, impersonal access to interfaces through keyboard-driven cursor navigation and…

  screen readers · conversational agents · blind and low vision · design fiction · voice assistants

• ScratchThat: Supporting Command-Agnostic Speech Repair in Voice-Driven Assistants

  Jason Wu, Karan Ahuja, Richard Li, Victor Chen, Jeffrey Bigham · 2019 · Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies

  This paper presents ScratchThat, a command-agnostic speech repair system for voice-driven virtual assistants that allows users to naturally correct voice commands without repeating entire queries. Current voice assistants like Alexa, Google Assistant, and Siri lack natural…

  voice interface · speech recognition · conversational agents · error correction · natural language processing

• StateLens: A Reverse Engineering Solution for Making Existing Dynamic Touchscreens Accessible

  Anhong Guo, Junhan Kong, Michael Rivera, Frank F. Xu, Jeffrey P. Bigham · 2019 · ACM Symposium on User Interface Software and Technology

  This paper presents StateLens, a three-part system that makes existing dynamic touchscreen interfaces accessible to blind users without requiring any modification to the touchscreen hardware or software. Blind people routinely encounter inaccessible touchscreens on coffee…

  touchscreen accessibility · blindness · computer vision · crowdsourcing · reverse engineering

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