Help Supporters: Exploring the Design Space of Assistive Technologies to Support Face-to-Face Help Between Blind and Sighted Strangers
Yuanyang Teng, Connor Courtien, David Angel Rios, Yves M. Tseng, Jacqueline Gibson, Maryam Aziz, Avery Reyna, Rajan Vaish, Brian A. Smith
Abstract
Blind and low-vision (BLV) people face many challenges when venturing into public environments, often wishing it were easier to get help from people nearby. Ironically, while many sighted individuals are willing to help, such interactions are infrequent. Asking for help is socially awkward for BLV people, and sighted people lack experience in helping BLV people. Through a mixed-ability research-through-design process, we explore four diverse approaches toward how assistive technology can serve as help supporters that collaborate with both BLV and sighted parties throughout the help process. These approaches span two phases: the connection phase (finding someone to help) and the collaboration phase (facilitating help after finding someone). Our findings from a 20-participant mixed-ability study reveal how help supporters can best facilitate connection, which types of information they should present during both phases, and more. We discuss design implications for future approaches to support face-to-face help.
Ask about this paper
Your agent reads all of it.
Lune indexed this paper to the last equation, along with the top-tier papers that cite it. Ask a question and the answer quotes them.
Your agent calls
Luneget_paper_fulltext
Free to start. No credit card required.
Terminal
Install the CLIlune papers fulltext 0ec4bd54-b1bb-4d8d-89bc-024dde78c36bCited by top-tier papers1
Ask how each one uses itBuilds on6
- The Emerging Professional Practice of Remote Sighted Assistance for People with Visual ImpairmentsSooyeon Lee, Madison Reddie, Chun-Hua Tsai, Jordan Beck et al.CHI 2020 · 48 citations
- Interdependence in Action: People with Visual Impairments and their Guides Co-constituting Common SpacesBeatrice Vincenzi, Alex S. Taylor, Simone StumpfCSCW 2021 · 45 citations
- Pedestrian Detection with Wearable Cameras for the Blind: A Two-way PerspectiveKyungjun Lee, Daisuke Sato, Saki Asakawa, Hernisa Kacorri et al.CHI 2020 · 43 citations
- Community Based Robot Design for Classrooms with Mixed Visual Abilities ChildrenIsabel Neto, Hugo Nicolau, Ana PaivaCHI 2021 · 39 citations
- Support Strategies for Remote Guides in Assisting People with Visual Impairments for Effective Indoor NavigationRie Kamikubo, Naoya Kato, Keita Higuchi, Ryo Yonetani et al.CHI 2020 · 28 citations
Related papers
- Accessibility-Driven Information Transformations in Mixed-Visual Ability Work TeamsYichun Zhao, Miguel A. Nacenta, Mahadeo A. Sukhai, Sowmya SomanathCHI 2026 · 2 citations
- Surveyor: Facilitating Discovery Within Video Games for Blind and Low Vision PlayersVishnu Nair, Hanxiu 'Hazel' Zhu, Peize Song, Jizhong Wang et al.CHI 2024 · 14 citations
- ImageAssist: Tools for Enhancing Touchscreen-Based Image Exploration Systems for Blind and Low Vision UsersVishnu Nair, Hanxiu 'Hazel' Zhu, Brian A. SmithCHI 2023 · 26 citations
- Robot-Assisted Group Tours for Blind PeopleYaxin Hu, Masaki Kuribayashi, Allan Wang, Seita Kayukawa et al.CHI 2026 · 1 citation
- Exploring the Experiences of Individuals Who are Blind or Low-Vision Using Object-Recognition Technologies in IndiaGesu India, Simon Robinson, Jennifer Pearson, Cecily Morrison et al.CHI 2025 · 8 citations
