Maryam S Cheema, Sina Elahimanesh, Samuel Martin, Pooyan Fazli, Hasti Seifi
{"title":"DescribePro: Collaborative Audio Description with Human-AI Interaction.","authors":"Maryam S Cheema, Sina Elahimanesh, Samuel Martin, Pooyan Fazli, Hasti Seifi","doi":"10.1145/3663547.3746320","DOIUrl":"10.1145/3663547.3746320","url":null,"abstract":"<p><p>Audio description (AD) makes video content accessible to millions of blind and low vision (BLV) users. However, creating high-quality AD involves a trade-off between the precision of human-crafted descriptions and the efficiency of AI-generated ones. To address this, we present <i>DescribePro</i> a collaborative AD authoring system that enables describers to iteratively refine AI-generated descriptions through multimodal large language model prompting and manual editing. <i>DescribePro</i> also supports community collaboration by allowing users to fork and edit existing ADs, enabling the exploration of different narrative styles. We evaluate <i>DescribePro</i> with 18 describers (9 professionals and 9 novices) using quantitative and qualitative methods. Results show that AI support reduces repetitive work while helping professionals preserve their stylistic choices and easing the cognitive load for novices. Collaborative tags and variations show potential for providing customizations, version control, and training new describers. These findings highlight the potential of collaborative, AI-assisted tools to enhance and scale AD authorship.</p>","PeriodicalId":72321,"journal":{"name":"ASSETS. Annual ACM Conference on Assistive Technologies","volume":"2025 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13157707/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147876359","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Alison Graham, Tochukwu Arinze Ikwunne, Jared Duval
{"title":"Co-Designing Culturally Grounded Mobile Health Games for Hypertension Management in Indigenous Communities.","authors":"Alison Graham, Tochukwu Arinze Ikwunne, Jared Duval","doi":"10.1145/3663547.3746321","DOIUrl":"10.1145/3663547.3746321","url":null,"abstract":"<p><p>Hypertension, which disproportionately affects older adults, continues to pose a critical health challenge among Indigenous communities, where systemic healthcare inequities and cultural mismatches in medical interventions contribute to high rates of undiagnosed and unmanaged cases. This paper explores the co-design of culturally relevant mobile health games to support hypertension management among Indigenous Peoples in Northern Arizona. Drawing from participatory design methodologies, we conducted a workshop with 14 participants to conceptualize and prototype mobile applications focused on five key factors of hypertension care: medication adherence, nutrition, exercise, education, and blood pressure monitoring. The workshops revealed that culturally rooted play and storytelling may significantly enhance user engagement and acceptance of digital health tools. Using insights from these sessions, we developed five medium-fidelity prototypes that reflect diverse game and play strategies, from traditional gamification techniques to reappropriations of existing games infused with Indigenous cultural elements. Our findings highlight how participatory and culturally grounded design approaches can produce mobile health interventions that may resonate more deeply with Indigenous worldviews and healthcare practices. This study contributes empirical design artifacts and knowledge to the field of accessible health technologies, emphasizing the importance of Indigenous-led co-design in addressing chronic disease disparities. We conclude by outlining future directions for iterative prototyping and playtesting, with implications for broader applications in culturally responsive digital health innovation.</p>","PeriodicalId":72321,"journal":{"name":"ASSETS. Annual ACM Conference on Assistive Technologies","volume":"2025 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13034992/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147596577","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Kelly Avery Mack, Jennifer Mankoff, Heather D Evans, Jesse J Martinez, James Fogarty, Cynthia L Bennett, Aaleyah Lewis, Leah Findlater, Emma J McDonnell
{"title":"Modeling Accessibility: Characterizing What We Mean by \"Accessible\".","authors":"Kelly Avery Mack, Jennifer Mankoff, Heather D Evans, Jesse J Martinez, James Fogarty, Cynthia L Bennett, Aaleyah Lewis, Leah Findlater, Emma J McDonnell","doi":"10.1145/3663547.3746344","DOIUrl":"https://doi.org/10.1145/3663547.3746344","url":null,"abstract":"<p><p>Accessibility research has a broad mandate: use technology to make the world more accessible to disabled people. Yet, as a field, accessibility research lacks a clear characterization of what \"accessibility\" is. Furthermore, it has been historically limited in who is designed for, focusing on specific types of disability and often failing to consider how disability intersects with other identities. We set out to explicate what it means to make something accessible, grounded in the lived experiences of a diverse group of 25 disabled people. From our empirical findings, we develop a process for modeling accessibility. First, an individual assesses their experience of inaccess, specifically, the type of barrier they face, the technology repertoire they possess, and the contextual factors that shape how they address accessibility barriers. Then, having assessed an access barrier, they perform consequence calculus, weighing all available options to achieve access and deciding upon the option that best matches their priorities. We highlight the situated nature of access; people's identities, contextual factors, repertoires, and priorities all dictate their experience of accessibility.</p>","PeriodicalId":72321,"journal":{"name":"ASSETS. Annual ACM Conference on Assistive Technologies","volume":"2025 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12969287/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147438114","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Rie Kamikubo, Abraham Glasser, Alex X Lu, Hal Daumé, Hernisa Kacorri, Danielle Bragg
{"title":"Exploring Collaboration to Center the Deaf Community in Sign Language AI.","authors":"Rie Kamikubo, Abraham Glasser, Alex X Lu, Hal Daumé, Hernisa Kacorri, Danielle Bragg","doi":"10.1145/3663547.3746390","DOIUrl":"10.1145/3663547.3746390","url":null,"abstract":"<p><p>Sign language processing holds great promise for advancing societal inclusivity, yet it often excludes meaningful participation from the Deaf community, raising ethical and practical concerns about the applicability of AI solutions to their needs. This paper addresses these gaps through two interrelated studies. First, surveys identify differences in priorities and expectations between machine learning (ML) practitioners and Deaf American Sign Language (ASL) signers. Second, paired co-design sessions bring ML and ASL experts together to generate guiding questions that support practices for aligning AI development with community goals. Our findings reveal critical points of friction that reflect deeper systemic and epistemic barriers to effective collaboration. By synthesizing unique and shared insights from both groups, we provide empirically grounded resources to guide collaborative frameworks that promote the agency and expertise of the Deaf community. This research paves actionable pathways toward equitable, community-centered advancements in AI.</p>","PeriodicalId":72321,"journal":{"name":"ASSETS. Annual ACM Conference on Assistive Technologies","volume":"1 ","pages":"1-18"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12955818/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147357775","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Diana Yee, Amina Kobenova, Rohan Jhangiani, Piper Stickler, Sri Kurniawan
{"title":"\"Better Than Nothing\" or Not Enough? User-Centered Reflections on AI-Generated Audio Descriptions Across Media Formats.","authors":"Diana Yee, Amina Kobenova, Rohan Jhangiani, Piper Stickler, Sri Kurniawan","doi":"10.1145/3663547.3759702","DOIUrl":"10.1145/3663547.3759702","url":null,"abstract":"<p><p>AI-generated audio descriptions (ADs) offer scalable solutions for making visual media accessible to blind and low-vision (BLV) audiences. Nevertheless, little is known about how BLV users experience and evaluate these descriptions across emerging platforms. In this qualitative study, we conducted semi-structured interviews with ten (N=10) BLV participants, recruited based on divergences in prior survey ratings, to explore their perceptions of both human- and AI-generated ADs in contexts ranging from traditional film to short-form video and livestreams. Thematic analysis revealed five key themes: (1) information prioritization and genre-sensitive details, (2) the \"better-than-nothing\" consensus tempered by emotional and contextual gaps in AI-generated ADs, (3) the social dynamics of shared viewing, (4) accessibility deserts on new media platforms, and (5) the artistry-precision dilemma. Our findings highlight the need for adaptive, transparent, and user-informed AD systems that balance narrative resonance with efficiency. We conclude with design recommendations for co-designing AI-assisted accessibility tools in partnership with BLV communities.</p>","PeriodicalId":72321,"journal":{"name":"ASSETS. Annual ACM Conference on Assistive Technologies","volume":"2025 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13225782/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148152394","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Stacy Hsueh, Danielle Van Dusen, Anat Caspi, Jennifer Mankoff
{"title":"Minor Resistance: The Everyday Politics and Power Dynamics of Assistive Technology Adoption.","authors":"Stacy Hsueh, Danielle Van Dusen, Anat Caspi, Jennifer Mankoff","doi":"10.1145/3663547.3746465","DOIUrl":"10.1145/3663547.3746465","url":null,"abstract":"<p><p>In accessibility research, the choice to adopt or abandon assistive technologies (AT) is often treated as a stable proxy for functional fit: to adopt is to confirm a good fit between device features and individual needs, and to abandon is to signal poor fit. While useful for design, we argue that the framework is ill-equipped to account for the sociopolitical forces that shape AT use in historically underserved communities. In this paper, we propose a power-aware framework that recasts adoption not as a transparent expression of fit, but as situated negotiation of power. Drawing from an eight-month ethnographic study at a local nonprofit, we examine how low-income, racially-diverse, and disabled families navigate institutional cultures that reinforce normative expectations around disability and AT use. Building on postcolonial theories of power, we introduce the concept of minor resistance to describe the subtle, everyday tactics through which individuals lower the cost of access on their own terms. We argue that this shift in analytical lens reframes the goal of accessibility design from optimizing use to lowering the cost of choice. We conclude with implications for how designers can support community-driven responses to structural barriers by centering self-determination.</p>","PeriodicalId":72321,"journal":{"name":"ASSETS. Annual ACM Conference on Assistive Technologies","volume":"2025 ","pages":"57"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13100969/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147790172","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Margaret Ellen Seehorn, Claris Winston, Bo Liu, Gene S-H Kim, Emily White, Nupur Gorkar, Kate S Glazko, Aashaka Desai, Jerry Cao, Megan Hofmann, Jennifer Mankoff
{"title":"Beyond Beautiful: Embroidering Legible and Expressive Tactile Graphics.","authors":"Margaret Ellen Seehorn, Claris Winston, Bo Liu, Gene S-H Kim, Emily White, Nupur Gorkar, Kate S Glazko, Aashaka Desai, Jerry Cao, Megan Hofmann, Jennifer Mankoff","doi":"10.1145/3663547.3746336","DOIUrl":"10.1145/3663547.3746336","url":null,"abstract":"<p><p>Tactile graphics present visual information to blind and visually-impaired individuals in an accessible way, through touch. Current methods for producing tactile graphics, such as embossing or swell-paper printing, have limitations such as durability - and the tools required to produce them are limited in expressiveness. In this project, we explore embroidery as a medium for producing tactile graphics. Embroidery, traditionally known for its variety and visual beauty, offers not just improved durability and ease of production - but the ability to convey information through a broad range of stitch types. Following an exploration of the design space of embroidered tactile graphics, we identify key perceptual properties that impact how embroidered textures are differentiated. Based on these differences, we introduce an optimization algorithm for assigning textures to regions of tactile graphics in a way that makes them diverse and legible. We implement an end-to-end pipeline for producing embroidered tactile graphics and evaluate the comprehensibility and legibility of our design with 6 blind participants. Our findings showed that embroidered tactile graphics present information accurately and comprehensively, and that measurable properties, such as the use of spacing and distinctiveness, were an important factor of expressive and legible design.</p>","PeriodicalId":72321,"journal":{"name":"ASSETS. Annual ACM Conference on Assistive Technologies","volume":"26 ","pages":"1-21"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13227559/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148159333","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Hongjin Lin, Tessa Han, Krzysztof Z Gajos, Anoopum S Gupta
{"title":"Hevelius Report: Visualizing Web-Based Mobility Test Data For Clinical Decision and Learning Support.","authors":"Hongjin Lin, Tessa Han, Krzysztof Z Gajos, Anoopum S Gupta","doi":"10.1145/3663548.3688490","DOIUrl":"10.1145/3663548.3688490","url":null,"abstract":"<p><p><i>Hevelius</i>, a web-based computer mouse test, measures arm movement and has been shown to accurately evaluate severity for patients with Parkinson's disease and ataxias. A <i>Hevelius</i> session produces 32 numeric features, which may be hard to interpret, especially in time-constrained clinical settings. This work aims to support clinicians (and other stakeholders) in interpreting and connecting <i>Hevelius</i> features to clinical concepts. Through an iterative design process, we developed a visualization tool (<i>Hevelius Report</i>) that (1) abstracts six clinically relevant concepts from 32 features, (2) visualizes patient test results, and compares them to results from healthy controls and other patients, and (3) is an interactive app to meet the specific needs in different usage scenarios. Then, we conducted a preliminary user study through an online interview with three clinicians who were <i>not</i> involved in the project. They expressed interest in using <i>Hevelius Report</i>, especially for identifying subtle changes in their patients' mobility that are hard to capture with existing clinical tests. Future work will integrate the visualization tool into the current clinical workflow of a neurology team and conduct systematic evaluations of the tool's usefulness, usability, and effectiveness. <i>Hevelius Report</i> represents a promising solution for analyzing fine-motor test results and monitoring patients' conditions and progressions.</p>","PeriodicalId":72321,"journal":{"name":"ASSETS. Annual ACM Conference on Assistive Technologies","volume":"2024 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12239997/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144602405","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Exploring Videoconferencing for Older Adults with Cognitive Concerns Using a Dramaturgical Lens.","authors":"Ruipu Hu, Ge Gao, Amanda Lazar","doi":"10.1145/3663548.3675647","DOIUrl":"10.1145/3663548.3675647","url":null,"abstract":"<p><p>While videoconferencing is a promising technology, it may present unique challenges and barriers for older adults with cognitive concerns. This paper presents a deconstructed view of videoconferencing technology use using a sociological dramaturgical framework developed by Erving Goffman. Our study recruited 17 older adults with varying cognitive concerns, employing technology discussion groups, interviews, and observations to gather data. Through a reflexive thematic analysis, we explore videoconferencing use among older adults with cognitive concerns, focusing on three major areas: the \"performances and roles\" where users adapt to new roles through videoconferencing; the \"backstage,\" which involves the physical and logistical setup; and the \"frontstage,\" where people communicate through audio and visual channels to present a desired impression. Our discussion generates insights into how deconstructing these elements can inform more meaningful and accessible HCI design.</p>","PeriodicalId":72321,"journal":{"name":"ASSETS. Annual ACM Conference on Assistive Technologies","volume":"2024 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12188971/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144499621","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"AccessShare: Co-designing Data Access and Sharing with Blind People.","authors":"Rie Kamikubo, Farnaz Zamiri Zeraati, Kyungjun Lee, Hernisa Kacorri","doi":"10.1145/3663548.3675612","DOIUrl":"10.1145/3663548.3675612","url":null,"abstract":"<p><p>Blind people are often called to contribute image data to datasets for AI innovation with the hope for future accessibility and inclusion. Yet, the visual inspection of the contributed images is inaccessible. To this day, we lack mechanisms for data inspection and control that are accessible to the blind community. To address this gap, we engage 10 blind participants in a scenario where they wear smartglasses and collect image data using an AI-infused application in their homes. We also engineer a design probe, a novel data access interface called AccessShare, and conduct a co-design study to discuss participants' needs, preferences, and ideas on consent, data inspection, and control. Our findings reveal the impact of interactive informed consent and the complementary role of data inspection systems such as AccessShare in facilitating communication between data stewards and blind data contributors. We discuss how key insights can guide future informed consent and data control to promote inclusive and responsible data practices in AI.</p>","PeriodicalId":72321,"journal":{"name":"ASSETS. Annual ACM Conference on Assistive Technologies","volume":"4 ","pages":"1-16"},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12188854/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144499622","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}