Helping Helpers: Supporting Volunteers in Remote Sighted Assistance with Augmented Reality Maps

Xie, Jingyi; Yu, Rui; Lee, Sooyeon; Lyu, Yao; Billah, Syed Masum; Carroll, John M.

doi:10.1145/3532106.3533560

Cited by 5 publications

(2 citation statements)

References 63 publications

(91 reference statements)

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“…All authors of this paper are sighted, and we acknowledge the potential bias due to the absence of blind authors in our team. In line with previous work [94],…”

Section: Ethical Considerationssupporting

confidence: 92%

"I Got Flagged for Supposed Bullying, Even Though It Was in Response to Someone Harassing Me About My Disability.": A Study of Blind TikTokers’ Content Moderation Experiences

Lyu,

Cai,

Callis

et al. 2024

Proceedings of the CHI Conference on Human Factors in Computing Systems

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The Human-Computer Interaction (HCI) community has consistently focused on the experiences of users moderated by social media platforms. Recently, scholars have noticed that moderation practices could perpetuate biases, resulting in the marginalization of user groups undergoing moderation. However, most studies have primarily addressed marginalization related to issues such as racism or sexism, with little attention given to the experiences of people with disabilities. In this paper, we present a study on the moderation experiences of blind users on TikTok, also known as "BlindToker, " to address this gap. We conducted semi-structured interviews with 20 BlindTokers and used thematic analysis to analyze the data. Two main themes emerged: BlindTokers' situated content moderation experiences and their reactions to content moderation. We reported on the lack of accessibility on TikTok's platform, contributing to the moderation and marginalization of BlindTokers. Additionally, we discovered instances of harassment from trolls that prompted BlindTokers to respond with harsh language, triggering further moderation. We discussed these findings in the context of the literature on moderation, marginalization, and transformative justice, seeking solutions to address such issues.CCS Concepts: • Human-centered computing → Human computer interaction (HCI); Empirical studies in HCI.

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“…All authors of this paper are sighted, and we acknowledge the potential bias due to the absence of blind authors in our team. In line with previous work [94],…”

Section: Ethical Considerationssupporting

confidence: 92%

"I Got Flagged for Supposed Bullying, Even Though It Was in Response to Someone Harassing Me About My Disability.": A Study of Blind TikTokers’ Content Moderation Experiences

Lyu,

Cai,

Callis

et al. 2024

Proceedings of the CHI Conference on Human Factors in Computing Systems

Self Cite

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“…To address this gap, researchers have introduced tools aimed at aiding sighted individuals in delivering more accurate navigation guidance to BLV users. This includes creating remote maps of the BLV user's environment, which enables sighted helpers to gain a better understanding of the physical surroundings and nature of tasks faced by BLV individuals [55]. Despite this, when compared to in-person co-located assistance, these remote assistance tools have limitations.…”

Section: Assistive Technologies Used By Blv and Sighted Individualsmentioning

confidence: 99%

Help Supporters: Exploring the Design Space of Assistive Technologies to Support Face-to-Face Help Between Blind and Sighted Strangers

Teng,

Courtien,

Rios

et al. 2024

Proceedings of the CHI Conference on Human Factors in Computing Systems

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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 researchthrough-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. CCS CONCEPTS• Human-centered computing → Accessibility technologies; Empirical studies in collaborative and social computing.

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NeRF-Enhanced Outpainting for Faithful Field-of-View Extrapolation

Yu,

Liu,

Zhou

et al. 2024

2024 IEEE International Conference on Robotics and Automation (ICRA)

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Helping Helpers: Supporting Volunteers in Remote Sighted Assistance with Augmented Reality Maps

Cited by 5 publications

References 63 publications

"I Got Flagged for Supposed Bullying, Even Though It Was in Response to Someone Harassing Me About My Disability.": A Study of Blind TikTokers’ Content Moderation Experiences

"I Got Flagged for Supposed Bullying, Even Though It Was in Response to Someone Harassing Me About My Disability.": A Study of Blind TikTokers’ Content Moderation Experiences

Help Supporters: Exploring the Design Space of Assistive Technologies to Support Face-to-Face Help Between Blind and Sighted Strangers

NeRF-Enhanced Outpainting for Faithful Field-of-View Extrapolation

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