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• ImageExplorer Deployment: Understanding Text-Based and Touch-Based Image Exploration in the Wild

  Ruolin Xu, Yuxuan Cai, Shuying Hou, Yu-Jung Chang, Anhong Guo · 2024 · Proceedings of the 21st International Web for All Conference (W4A)

  This paper presents the real-world deployment and evaluation of ImageExplorer, an iOS application that enables blind and low-vision users to explore images through two complementary modalities: text-based sequential exploration and touch-based spatial exploration. The app was…

  image accessibility · screen readers · touch exploration · blind users · image description

• Exploring Accessibility of Mobile Applications Through User Feedback: Insights from App Reviews in a Systematic Literature Review

  Alberto Dumont Alves Oliveira, Marcelo Medeiros Eler · 2024 · Proceedings of the XXIII Brazilian Symposium on Human Factors in Computing Systems (IHC 2024)

  This systematic literature review examines how user reviews from app stores have been used to study the accessibility of mobile applications. The authors searched five major academic databases (ACM, IEEE, ScienceDirect, Scopus, and Web of Science) and identified 638 papers,…

  mobile accessibility · app reviews · user feedback · systematic literature review · user reviews

• System-class Accessibility: The Architectural Support for Making a Whole System Usable by People with Disabilities

  Chris Fleizach, Jeffrey P. Bigham · 2024 · ACM Queue

  This article introduces the concept of "system-class accessibility" — the architectural support built into an operating system to make the entire platform usable by people with disabilities. Written by Chris Fleizach (who led the development of VoiceOver on iOS at Apple) and…

  accessibility API · screen readers · VoiceOver · iOS accessibility · operating systems

• Towards Automated Accessibility Report Generation for Mobile Apps

  Amanda Swearngin, Jason Wu, Xiaoyi Zhang, Esteban Gomez, Jen Coughenour, Rachel Stukenborg, Bhavya Garg, Greg Hughes, Adriana Hilliard, Jeffrey P. Bigham, Jeffrey Nichols · 2024 · ACM Transactions on Computer-Human Interaction

  This paper presents a system for automatically generating whole-app accessibility reports for mobile apps, addressing key limitations of existing accessibility scanning tools. The work begins with formative interviews with eight accessibility QA professionals at a large…

  automated testing · accessibility testing · mobile accessibility · app crawling · machine learning

• Snap&Nav: Smartphone-based Indoor Navigation System For Blind People via Floor Map Analysis and Intersection Detection

  Masaya Kubota, Masaki Kuribayashi, Seita Kayukawa, Hironobu Takagi, Chieko Asakawa, Shigeo Morishima · 2024 · Proceedings of the ACM on Human-Computer Interaction (MobileHCI)

  Snap&Nav is a smartphone-based indoor navigation system for blind travellers that works in any building with a visible floor map, without requiring the building owner to pre-build a digital map, install BLE beacons, or deploy any other localisation infrastructure. The authors…

  blindness and low vision · indoor navigation · wayfinding · map-less navigation · intersection detection

• ChitChatGuide: Conversational Interaction Using Large Language Models for Assisting People with Visual Impairments to Explore a Shopping Mall

  Yuka Kaniwa, Masaki Kuribayashi, Seita Kayukawa, Daisuke Sato, Hironobu Takagi, Chieko Asakawa, Shigeo Morishima · 2024 · Proceedings of the ACM on Human-Computer Interaction (MobileHCI)

  ChitChatGuide is a smartphone-based indoor navigation system that wraps a GPT-4-powered conversational interface around an existing BLE-beacon localisation stack (HULOP) to support something most blind-navigation research overlooks: casual, purpose-less exploration — the blind…

  blindness and low vision · large language model · indoor navigation · wayfinding · conversational agent

6 results.