Supporting the Development of Social Networking Mobile Apps for Deaf Users

Schefer, Ricardo Pezzotti; Bezerra, Matheus Sousa; Zaina, Luciana A. M.

doi:10.1145/3218585.3218672

Cited by 10 publications

(4 citation statements)

References 15 publications

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“…Moreover, although R3C presented a structured template for the specification of the heuristics in step 4, the resulting case heuristics only presented summaries or abbreviated versions [ 47 , 57 , 58 ]. Subsequently, implementations of R3C’s steps to develop other specialized heuristics have varied [ 59 - 61 ].…”

Section: Discussionmentioning

confidence: 99%

Enabling Better Use of Person-Generated Health Data in Stroke Rehabilitation Systems: Systematic Development of Design Heuristics

2020

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Background An established and well-known method for usability assessment of various human-computer interaction technologies is called heuristic evaluation (HE). HE has been adopted for evaluations in a wide variety of specialized contexts and with objectives that go beyond usability. A set of heuristics to evaluate how health information technologies (HITs) incorporate features that enable effective patient use of person-generated health data (PGHD) is needed in an era where there is a growing demand and variety of PGHD-enabled technologies in health care and where a number of remote patient-monitoring technologies do not yet enable patient use of PGHD. Such a set of heuristics would improve the likelihood of positive effects from patients’ use of PGHD and lower the risk of negative effects. Objective This study aims to describe the development of a set of heuristics for the design and evaluation of how well remote patient therapeutic technologies enable patients to use PGHD (PGHD enablement). We used the case of Kinect-based stroke rehabilitation systems (K-SRS) in this study. Methods The development of a set of heuristics to enable better use of PGHD was primarily guided by the R3C methodology. Closer inspection of the methodology reveals that neither its development nor its application to a case study were described in detail. Thus, where relevant, each step was grounded through best practice activities in the literature and by using Nielsen’s heuristics as a basis for determining the new set of heuristics. As such, this study builds on the R3C methodology, and the implementation of a mixed process is intended to result in a robust and credible set of heuristics. Results A total of 8 new heuristics for PGHD enablement in K-SRS were created. A systematic and detailed process was applied in each step of heuristic development, which bridged the gaps described earlier. It is hoped that this would aid future developers of specialized heuristics, who could apply the detailed process of heuristic development for other domains of technology, and additionally for the case of PGHD enablement for other health conditions. The R3C methodology was also augmented through the use of qualitative studies with target users and domain experts, and it is intended to result in a robust and credible set of heuristics, before validation and refinement. Conclusions This study is the first to develop a new set of specialized heuristics to evaluate how HITs incorporate features that enable effective patient use of PGHD, with K-SRS as a key case study. In addition, it is the first to describe how the identification of initial HIT features and concepts to enable PGHD could lead to the development of a specialized set of heuristics.

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Section: Discussionmentioning

confidence: 99%

Enabling Better Use of Person-Generated Health Data in Stroke Rehabilitation Systems: Systematic Development of Design Heuristics

2020

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“…Several techniques to enhance accessibility at the application design/development level have been proposed and evaluated. These include providing non-audible feedback [50], sign language support [2], and speechto-text translation [9]. Machine-generated or user-generated content, especially captions, has been shown to further improve accessibility for DHH internet users [25,30,40,53].…”

Section: Accessibility Of Information and Communication Technologies ...mentioning

confidence: 99%

Sparkling Silence: Practices and Challenges of Livestreaming Among Deaf or Hard of Hearing Streamers

Cao,

He,

Zhou

et al. 2023

Preprint

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Understanding livestream platforms' accessibility challenges for minority groups, such as people with disabilities, is critical to increasing the diversity and inclusion of those platforms. While prior work investigated the experiences of streamers with vision or motor loss, little is known about the experiences of deaf or hard of hearing (DHH) streamers who must work with livestreaming platforms that heavily depend on audio. We conducted semi-structured interviews with DHH streamers to learn why they livestream, how they navigate livestream platforms and related challenges. Our findings revealed their desire to break the stereotypes towards the DHH groups via livestream and the intense interplay between interaction methods, such as sign language, texts, lip language, background music, and viewer characteristics. Major accessibility challenges include the lack of real-time captioning, the small sign language reading window, and misinterpretation of sign language. We present design considerations for improving the accessibility of the livestream platforms.CCS Concepts: • Human-centered computing → Human computer interaction (HCI); Empirical studies in HCI .

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“…To help combat accessibility issues, one study compiled a list of guidelines for developers [56], based on two prior case studies with deaf users. These guidelines state how to make mobile social networking apps more accessible for deaf users, including making buttons highly readable, prioritizing what a user needs to do next, and providing non-auditory feedback.…”

Section: Social App Accessibility For Deaf Signers 125:5mentioning

confidence: 99%

Social App Accessibility for Deaf Signers

Mack

Bragg

Morris

et al. 2020

Proc. ACM Hum.-Comput. Interact.

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Social media platforms support the sharing of written text, video, and audio. All of these formats may be inaccessible to people who are deaf or hard of hearing (DHH), particularly those who primarily communicate via sign language, people who we call Deaf signers. We study how Deaf signers engage with social platforms, focusing on how they share content and the barriers they face. We employ a mixed-methods approach involving seven in-depth interviews and a survey of a larger population (n = 60). We find that Deaf signers share the most in written English, despite their desire to share in sign language. We further identify key areas of difficulty in consuming content (e.g., lack of captions for spoken content in videos) and producing content (e.g., captioning signed videos, signing into a phone camera) on social media platforms. Our results both provide novel insights into social media use by Deaf signers and reinforce prior findings on DHH communication more generally, while revealing potential ways to make social media platforms more accessible to Deaf signers.CCS Concepts: • Human-centered computing → Social media; • Social and professional topics → People with disabilities;

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Supporting the Development of Social Networking Mobile Apps for Deaf Users

Cited by 10 publications

References 15 publications

Enabling Better Use of Person-Generated Health Data in Stroke Rehabilitation Systems: Systematic Development of Design Heuristics

Enabling Better Use of Person-Generated Health Data in Stroke Rehabilitation Systems: Systematic Development of Design Heuristics

Sparkling Silence: Practices and Challenges of Livestreaming Among Deaf or Hard of Hearing Streamers

Social App Accessibility for Deaf Signers

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