Design for Different User Needs

会議の名前
CHI 2025
Sounds Accessible: Envisioning Accessible Audio Media Futures with People with Aphasia
要旨

Audio-media, such as radio and podcasts, are a vital means to engage with global events, access education, or offer entertainment. However, for people with complex communication needs, such as aphasia, there can be accessibility challenges. While accessibility research has largely focused on audiovisual media, little work has considered audio-media, particularly for users with complex communication needs. To address this gap, we undertook six co-design workshops with 10 people with aphasia to re-imagine access to audio-media. We uncover how our co-designers perceive audio-media as more than a tool, but a part of daily intimacies; shaping social relationships and contributing to therapeutic recovery. Through a Research-through-Design process culminating in one low-fidelity and three high-fidelity technology probes that embody novel accessibility interventions, our findings further challenge conventional approaches to audio-media accessibility and signal new directions for future design.

著者
Filip Bircanin
King's College London , London, United Kingdom
Alexandre Nevsky
King's College London, London, United Kingdom
Himaya Perera
King's College London, London, United Kingdom
Vaasvi Agarwal
King's College London, London, United Kingdom
Eunyeol Song
King's College London, London, United Kingdom
Madeline N. Cruice
City, University of London, London, London, United Kingdom
Timothy Neate
King's College London, London, United Kingdom
DOI

10.1145/3706598.3714000

論文URL

https://dl.acm.org/doi/10.1145/3706598.3714000

動画
3D Printing for Accessible Education: A Case Study in Assistive Technology Adoption
要旨

3D printing is a mainstream technology enabling the affordable production of 3D models that may enhance access and understanding of graphics for students who are blind or have low vision (BLV). However, the potential usefulness of a new technology does not guarantee its adoption. This paper presents a case study in the adoption of 3D printing as an accessible format for BLV education in Australia and New Zealand. Over the last six years, a community-driven research project engaged in awareness raising, created a community of practice and developed guidelines for the use of 3D printing in education. We evaluate the success of the project using an Implementation Science lens with the RE-AIM framework and identify the key factors for successful adoption. We hope this work will guide the adoption of 3D printing for BLV students and serve as an exemplar for the adoption of other assistive technologies.

著者
Leona M. Holloway
Monash University, Melbourne, VIC, Australia
Matthew Butler
Monash University, Melbourne, Australia
Alex Waddell
Monash University, Melbourne, Australia
Kim Marriott
Monash University, Melbourne, Australia
DOI

10.1145/3706598.3713689

論文URL

https://dl.acm.org/doi/10.1145/3706598.3713689

動画
Human Robot Interaction for Blind and Low Vision People: A Systematic Literature Review
要旨

Recent years have witnessed a growing interest in using robots to support Blind and Low Vision (BLV) people in various tasks and contexts. However, the Human-Computer Interaction (HCI) community still lacks a shared understanding of what, where, and how robots can benefit BLV users in their daily lives. In light of this, we conducted a systematic literature review to help researchers navigate the current landscape of this field through an HCI lens. We followed a systematic multi-stage approach and carefully selected a corpus of 76 papers from premier HCI venues. Our review provides a comprehensive overview of application areas, embodiments, and interaction techniques of the developed robotic systems. Further, we identified opportunities, challenges, and key considerations in this emerging field. Through this systematic review, we aim to inspire researchers, developers, designers, and HCI practitioners, to create a more inclusive environment for the BLV community.

著者
Yize Wei
National University of Singapore, Singapore, Singapore
Nathan Rocher
University of Toulouse 3, Toulouse, France
Chitralekha Gupta
National University of Singapore, Singapore, Singapore
Mia Huong Nguyen
National University of Singapore, Singapore, Singapore
Roger Zimmermann
National University of Singapore, Singapore, Singapore
Wei Tsang Ooi
National University of Singapore, Singapore, Singapore
Christophe Jouffrais
CNRS, Singapore, Singapore
Suranga Nanayakkara
School of Computing, National University of Singapore, Singapore, Singapore
DOI

10.1145/3706598.3713438

論文URL

https://dl.acm.org/doi/10.1145/3706598.3713438

動画
Towards AI-driven Sign Language Generation with Non-manual Markers
要旨

Sign languages are essential for the Deaf and Hard-of-Hearing (DHH) community. Sign language generation systems have the potential to support communication by translating from written languages, such as English, into signed videos. However, current systems often fail to meet user needs due to poor translation of grammatical structures, the absence of facial cues and body language, and insufficient visual and motion fidelity. We address these challenges by building on recent advances in LLMs and video generation models to translate English sentences into natural-looking AI ASL signers. The text component of our model extracts information for manual and non-manual components of ASL, which are used to synthesize skeletal pose sequences and corresponding video frames. Our findings from a user study with 30 DHH participants and thorough technical evaluations demonstrate significant progress and identify critical areas necessary to meet user needs.

受賞
Honorable Mention
著者
Han Zhang
University of Washington, Seattle, Washington, United States
Rotem Shalev-Arkushin
Tel Aviv University, Tel Aviv, Israel
Vasileios Baltatzis
Apple, Cupertino, California, United States
Connor Gillis
Apple, Cupertino, California, United States
Gierad Laput
Apple Inc., Cupertino , California, United States
Raja Kushalnagar
Gallaudet University, Washington, District of Columbia, United States
Lorna C. Quandt
Gallaudet University, Washington , District of Columbia, United States
Leah Findlater
Apple, Cupertino, California, United States
Abdelkareem Bedri
Apple Inc., Cupertino, California, United States
Colin Lea
Apple, Cupertino, California, United States
DOI

10.1145/3706598.3713855

論文URL

https://dl.acm.org/doi/10.1145/3706598.3713855

動画
"I Need Your Help!" : Facilitating Psychological Communication Between Left-Behind Children and Their Parents with an AI-Powered Sandbox
要旨

In impoverished regions, limited resources, economic constraints, and low psychological health literacy among guardians often prevent timely support for children's mental health. The absence of migrant worker parents further exacerbates these issues, as they remain unaware of their children's psychological states. Existing AI advancements in psychological tools often overlook the specific needs of left-behind children and lack parental involvement. To address this, we developed DiSandbox, a low-cost AI-powered sandbox system that supports children in creating sandbox works for mental health assessments and engages parents in counseling. DiSandbox uses AI to guide children in sandbox play, analyze creations for psychological insights, and help parents understand their children's mental health, enabling timely intervention. By integrating large language models with sandbox play, DiSandbox is a scalable, reliable, and accessible tool for home use. Qualitative and quantitative studies confirm its usability and provide guidance for future AI applications in children's mental health.

受賞
Honorable Mention
著者
Yan Shi
Hangzhou Dianzi University, Hangzhou, Zhejiang Province, China
Lidan Gong
Hangzhou Dianzi University, Hang Zhou, China
Yiwen Lu
Hangzhou Dianzi University, Hang Zhou, China
Lijuan Liu
Hangzhou Dianzi University, Hang Zhou, China
Chao Zhang
Cornell University, Ithaca, New York, United States
shujun zhang
Hangzhou Dianzi University, Hang Zhou, China
Longfei Wang
Hangzhou Dianzi University, Hang Zhou, China
Shan Zhou
Hangzhou Dianzi University, Hang Zhou, China
DOI

10.1145/3706598.3713660

論文URL

https://dl.acm.org/doi/10.1145/3706598.3713660

動画
Autoethnographic Insights from Neurodivergent GAI "Power Users"
要旨

Generative AI (AI) has become ubiquitous in both daily and professional life, with emerging research demonstrating its potential as a tool for accessibility. Neurodivergent people, often left out by existing accessibility technologies, develop their own ways of navigating normative expectations. GAI offers new opportunities for access, but it is important to understand how neurodivergent “power users”—successful early adopters—engage with it and the challenges they face. Further, we must understand how marginalization and intersectional identities influence their interactions with GAI. Our autoethnography, enhanced by privacy-preserving GAI-based diaries and interviews, reveals the intricacies of using GAI to navigate normative environments and expectations. Our findings demonstrate how GAI can both support and complicate tasks like code-switching, emotional regulation, and accessing information. We show that GAI can help neurodivergent users to reclaim their agency in systems that diminish their autonomy and self-determination. However, challenges such as balancing authentic self-expression with societal conformity, alongside other risks, create barriers to realizing GAI's full potential for accessibility.

著者
Kate S. Glazko
University of Washington, Seattle, Washington, United States
JunHyeok Cha
University of Wisconsin - Madison, Madison, Wisconsin, United States
Aaleyah Lewis
University of Washington, Seattle, Washington, United States
Ben Kosa
University of Wisconsin - Madison, Madison, Wisconsin, United States
Brianna L. Wimer
University of Notre Dame, South Bend, Indiana, United States
Andrew Zheng
Independent Researcher, Fremont, California, United States
Roy Zheng
National Coalition of Independent Scholars, Battleboro, Vermont, United States
Jennifer Mankoff
University of Washington, Seattle, Washington, United States
DOI

10.1145/3706598.3713670

論文URL

https://dl.acm.org/doi/10.1145/3706598.3713670

Beyond the Buckets of Support: Designing for Agency and Interaction in Personalised Disability Systems
要旨

Social care systems are increasingly adopting personalisation schemes that empower individuals with disabilities and their families to directly purchase services,from assistive technologies to daily living support. Central to this shift are institutions like the National Disability Insurance Scheme, where annual negotiations shape care delivery and social benefits. Drawing on interviews with parents of children with intellectual disabilities, individuals with intellectual disabilities, service managers -- alongside the use of a technology probe -- this paper examines the communication dynamics within these planning processes, identifying critical design opportunities. We explore the issues of communication control, obscured agency, and tokenistic engagement that arise in bureaucratic support planning. As a contribution, we highlight the barriers and facilitators reshaping these interactions, offering key implications for future design interventions.

著者
Filip Bircanin
King's College London , London, United Kingdom
Laurianne Sitbon
Queensland University of Technology (QUT), Brisbane, QLD, Australia
Maria Hoogstrate
National Disability Insurance Agency, Brisbane, QLD, Australia
Ahmed K.. Abbas
Queensland University of Technology, Brisbane CBD, QLD, Australia
Alieh Hajizadeh Saffar
Queensland University of Technology (QUT), Brisbane, Queensland, Australia
Margot Brereton
QUT, Brisbane, Brisbane, Australia
DOI

10.1145/3706598.3713117

論文URL

https://dl.acm.org/doi/10.1145/3706598.3713117

動画