Misfitting With AI: How Blind People Verify and Contest AI Errors

Kyungjun Lee Rie Kamikubo Hernisa Kacorri

9 Maret 2023

To ensure that AI-infused systems work for disabled people, we need to bring accessibility datasets sourced from this community in the development lifecycle. However, there are many ethical and privacy concerns limiting greater data inclusion, making such datasets not readily available. We present a pair of studies where 13 blind participants engage in data capturing activities and reflect with and without probing on various factors that influence their decision to share their data via an AI dataset. We see how different factors influence blind participants’ willingness to share study data as they assess risk-benefit tradeoffs. The majority support sharing of their data to improve technology but also express concerns over commercial use, associated metadata, and the lack of transparency about the impact of their data. These insights have implications for the development of responsible practices for stewarding accessibility datasets, and can contribute to broader discussions in this area.

Leah Findlater Kelly Avery Mack Jon E. Froehlich + 3 lainnya

12 Januari 2021

Accessibility research has grown substantially in the past few decades, yet there has been no literature review of the field. To understand current and historical trends, we created and analyzed a dataset of accessibility papers appearing at CHI and ASSETS since ASSETS’ founding in 1994. We qualitatively coded areas of focus and methodological decisions for the past 10 years (2010-2019, N=506 papers), and analyzed paper counts and keywords over the full 26 years (N=836 papers). Our findings highlight areas that have received disproportionate attention and those that are underserved—for example, over 43% of papers in the past 10 years are on accessibility for blind and low vision people. We also capture common study characteristics, such as the roles of disabled and nondisabled participants as well as sample sizes (e.g., a median of 13 for participant groups with disabilities and older adults). We close by critically reflecting on gaps in the literature and offering guidance for future work in the field.

E. J. Edwards Isabela Figueira Joshua Garcia + 4 lainnya

11 Mei 2024

Scholars have investigated numerous barriers to accessible software development tools and processes for Blind and Low Vision (BLV) developers. However, the research community has yet to study the accessibility of software development meetings, which are known to play a crucial role in software development practice. We conducted semi-structured interviews with 26 BLV software professionals about software development meeting accessibility. We found four key themes related to in-person and remote software development meetings: (1) participants observed that certain meeting activities and software tools used in meetings were inaccessible, (2) participants performed additional labor in order to make meetings accessible, (3) participants avoided disclosing their disability during meetings due to fear of career repercussions, (4) participants suggested technical, social and organizational solutions for accessible meetings, including developing their own solutions. We suggest recommendations and design implications for future accessible software development meetings including technical and policy-driven solutions.

Cynthia L. Bennett Anhong Guo Cole Gleason + 3 lainnya

6 Mei 2021

Content creators are instructed to write textual descriptions of visual content to make it accessible; yet existing guidelines lack specifics on how to write about people’s appearance, particularly while remaining mindful of consequences of (mis)representation. In this paper, we report on interviews with screen reader users who were also Black, Indigenous, People of Color, Non-binary, and/or Transgender on their current image description practices and preferences, and experiences negotiating theirs and others’ appearances non-visually. We discuss these perspectives, and the ethics of humans and AI describing appearance characteristics that may convey the race, gender, and disabilities of those photographed. In turn, we share considerations for more carefully describing appearance, and contexts in which such information is perceived salient. Finally, we offer tensions and questions for accessibility research to equitably consider politics and ecosystems in which technologies will embed, such as potential risks of human and AI biases amplifying through image descriptions.

Daniel E. Krutz Samuel A. Malachowsky

1 November 2020

This tutorial will introduce our Accessibility Learning Labs (ALL). The objectives of this collaborative project with The National Technical Institute for the Deaf (NTID) are to both inform participants about foundational topics in accessibility and to demonstrate the importance of creating accessible software. The labs enable easy classroom inclusion by providing instructors all necessary materials including lecture and activity slides and videos. Each lab addresses an accessibility issue and contains: I) Relevant background information on the examined issue II) An example web-based application containing the accessibility problem III) A process to emulate this accessibility problem IV) Details about how to repair the problem from a technical perspective V) Incidents from people who encountered this accessibility issue and how it has impacted their life. The labs may be easily integrated into a wide variety of curriculum at high schools (9–12), and in undergraduate and graduate courses. The labs will be easily adoptable due to their self-contained nature and their inclusion of all necessary instructional material (e.g., slides, quizzes, etc.). No special software is required to use any portion of the labs since they are web-based and are able to run on any computer with a reasonably recent web browser. There are currently four available labs on the topics of: Colorblindness, Hearing, Blindness and Dexterity. Material is available on our website: http://all.rit.edu This tutorial will provide an overview of the created labs and usage instructions and information for adaptors.