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Unblind Your Apps: Predicting Natural-Language Labels for Mobile GUI Components by Deep Learning
10 references·2 citing·44 second hop
Unblind Your Apps: Predicting Natural-Language Labels for Mobile GUI Components by Deep Learning (2020)Unblind Your Apps: Predicting Natural-Lan…The Current Status of Accessibility in Mobile Apps (2019)The Current Status of Accessi…Robust Annotation of Mobile Application Interfaces in Methods for Accessibility Repair and Enhancement (2018)Robust Annotation of Mobile A…Examining Image-Based Button Labeling for Accessibility in Android Apps through Large-Scale Analysis (2018)Examining Image-Based Button …Automated Accessibility Testing of Mobile Apps (2018)Automated Accessibility Testi…Interaction Proxies for Runtime Repair and Enhancement of Mobile Application Accessibility (2017)Interaction Proxies for Runti…Design for user empowerment (2015)Design for user empowermentToward accessible mobile application design: developing mobile application accessibility guidelines for people with visual impairment (2014)Toward accessible mobile appl…Measurement, Optimization, and Impact of Health Care Accessibility: A Methodological Review (2012)Measurement, Optimization, an…The proof and measurement of association between two things (2010)The proof and measurement of …Freedom to roam (2009)Freedom to roamDark-Side Avoidance of Mobile Applications With Data Biases Elimination in Socio-Cyber World (2023)Dark-Side Avoidance of Mobile…AGAA: An Android GUI Accessibility Adapter for Low Vision Users (2023)AGAA: An Android GUI Accessib…Measures of Spatial Accessibility to Health Care in a GIS Environment: Synthesis and a Case Study in the Chicago Region (2003)Spatial accessibility of primary care: concepts, methods and challenges (2004)An enhanced two-step floating catchment area (E2SFCA) method for measuring spatial accessibility to primary care physicians (2009)Beyond Space (As We Knew It): Toward Temporally Integrated Geographies of Segregation, Health, and Accessibility (2013)Spatial accessibility in suboptimally configured health care systems: A modified two-step floating catchment area (M2SFCA) metric (2013)Integrating the Huff Model and Floating Catchment Area Methods to Analyze Spatial Access to Healthcare Services (2014)Basics of qualitative research : techniques and procedures for developing grounded theory (1998)Analyzing user-generated youtube videos to understand touchscreen use by people with motor impairments (2013)Visual challenges in the everyday lives of blind people (2013)The Invisible Work of Accessibility (2015)Accessible Environments : Toward Universal Design (1991)Ability-Based Design (2011)Tenets for Social Accessibility (2018)Considerations for AI fairness for people with disabilities (2019)Unblind your apps (2020)VizWiz (2010)World Report on Disability (2011)An Epidemiology-inspired Large-scale Analysis of Android App Accessibility (2020)Open Challenges of Blind People Using Smartphones (2020)Is your web page accessible? (2005)A unified methodology for the evaluation of accessibility and usability of mobile applications (2010)Can Everyone use my app? An Empirical Study on Accessibility in Android Apps (2019)Accessibility and Software Engineering Processes: A Systematic Literature Review (2020)Automatic web accessibility metrics: Where we are and where we can go (2011)Progress on Website Accessibility? (2013)Accessibility Evaluation of E-Government Mobile Applications in Brazil (2015)Accessible or Not? An Empirical Investigation of Android App Accessibility (2021)Nuanced Perspectives Toward Disability Simulations from Digital Designers, Blind, Low Vision, and Color Blind People (2021)Accessmonkey (2007)Social accessibility (2008)Epidemiology as a Framework for Large-Scale Mobile Application Accessibility Assessment (2017)Accessibility in Native Mobile Applications for Users with Disabilities: A Scoping Review (2021)Unblind Text Inputs: Predicting Hint-text of Text Input in Mobile Apps via LLM (2024)Barriers to use (2000)Guidelines are only half of the story (2012)Benchmarking web accessibility evaluation tools (2013)Accessibility issues in Android apps (2020)Why Software is Not Accessible: Technology Professionals' Perspectives and Challenges (2020)The Impact of Event Scale: Revised (2007)Comparison of Values of Pearson's and Spearman's Correlation Coefficients on the Same Sets of Data (2011)The Influence of Affective Teacher–Student Relationships on Students’ School Engagement and Achievement (2011)Accessibility of the smart home for users with visual disabilities (2016)The impact of serious games with humanoid robots on mild cognitive impairment older adults (2020)Data-driven accessibility repair revisited: on the effectiveness of generating labels for icons in Android apps (2021)
this work references cited by second hop

References

  • 2010The proof and measurement of association between two things1,683 cited
  • 2012Measurement, Optimization, and Impact of Health Care Accessibility: A Methodological Review696 cited
  • 2009Freedom to roam384 cited
  • 2019The Current Status of Accessibility in Mobile Apps166 cited
  • 2015Design for user empowerment164 cited
  • 2018Automated Accessibility Testing of Mobile Apps118 cited
  • 2018Examining Image-Based Button Labeling for Accessibility in Android Apps through Large-Scale Analysis90 cited
  • 2017Interaction Proxies for Runtime Repair and Enhancement of Mobile Application Accessibility59 cited
  • 2014Toward accessible mobile application design: developing mobile application accessibility guidelines for people with visual impairment54 cited
  • 2018Robust Annotation of Mobile Application Interfaces in Methods for Accessibility Repair and Enhancement50 cited

Cited by

  • 2023Dark-Side Avoidance of Mobile Applications With Data Biases Elimination in Socio-Cyber World11 cited
  • 2023AGAA: An Android GUI Accessibility Adapter for Low Vision Users1 cited

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