Assessing the deaf user perspective on sign language avatars

Kipp, Michael; Nguyen, Quan; Héloir, Alexis; Matthes, Silke

doi:10.1145/2049536.2049557

Cited by 78 publications

(59 citation statements)

References 13 publications

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“…While there are a few examples of published results where only the number of participants and how they are selfidentified is reported, e.g., [23,30], in general the trend in the field is to include more information about the sampled population. Table 1 presents examples of representative papers, similar patterns may be found when examining larger surveys of prior evaluation studies, e.g., [3,11,13,16,19].…”

Section: Demographics In Prior Studiessupporting

confidence: 53%

“…Kipp et al [19] carried out the most comprehensive study to date with participants evaluating multiple sign language avatars; thus, in this section, we position our new study in relation to this mostclosely related prior work. In focus groups in [19], eight native signers of German Sign Language were presented with six avatars signing content in different sign languages, and they commented on their quality.…”

Section: Acceptance Of Multiple Signing Avatarsmentioning

confidence: 99%

“…In focus groups in [19], eight native signers of German Sign Language were presented with six avatars signing content in different sign languages, and they commented on their quality. While researchers in [19] showed participants animations in American Sign Language and other unfamiliar languages, in our study described in section 4, participants were shown animations in a language in which they were fluent (ASL). Further, researchers in [19] showed participants some handanimated avatars (produced through a painstaking process of carefully posing the character).…”

Section: Acceptance Of Multiple Signing Avatarsmentioning

confidence: 99%

“…Thus, providing information online in ASL can make content more accessible to users with lower English literacy; furthermore, many Deaf 1 While posting videos of human signers on websites may seem like a simple solution, such videos are difficult to update when information changes, and they do not enable just-in-time generation of website content from a user request. For this reason, several research groups, e.g., [9,15,18,19,29], are studying the development of software to automatically synthesize understandable animations of a virtual human performing sign language, based on an easy-to-update script as input. The key challenge is for this software to select the details of such animations so that they are linguistically accurate, understandable, and acceptable to users.…”

Section: Introductionmentioning

confidence: 99%

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Demographic and Experiential Factors Influencing Acceptance of Sign Language Animation by Deaf Users

Kacorri

Huenerfauth

Ebling

et al. 2015

Proceedings of the 17th International ACM SIGACCESS Conference on Computers &Amp; Accessibility - ASSETS '15

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Technology to automatically synthesize linguistically accurate and natural-looking animations of American Sign Language (ASL) from an easy-to-update script would make it easier to add ASL content to websites and media, thereby increasing information accessibility for many people who are deaf. Researchers evaluate their sign language animation systems by collecting subjective judgments and comprehension-question responses from deaf participants. Through a survey (N=62) and multiple regression analysis, we identified relationships between (a) demographic and technology experience/attitude characteristics of participants and (b) the subjective and objective scores collected from them during the evaluation of sign language animation systems. This finding suggests that it would be important for researchers to collect and report these characteristics of their participants in publications about their studies, but there is currently no consensus in the field. We present a set of questions in ASL and English that can be used by researchers to measure these participant characteristics; reporting such data would enable researchers to better interpret and compare results from studies with different participant pools.

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Section: Demographics In Prior Studiessupporting

confidence: 53%

Section: Acceptance Of Multiple Signing Avatarsmentioning

confidence: 99%

Section: Acceptance Of Multiple Signing Avatarsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Demographic and Experiential Factors Influencing Acceptance of Sign Language Animation by Deaf Users

Kacorri

Huenerfauth

Ebling

et al. 2015

Proceedings of the 17th International ACM SIGACCESS Conference on Computers &Amp; Accessibility - ASSETS '15

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show abstract

“…They collaborated with Peter Schaar, who is deaf and is a lecturer for SL at the Saarland University Language Center and the College of Engineering and Commerce in Saarbrücken [40]. However, their approach was to make online content accessible to the deaf, and not develop a tool directed to teach deaf students.…”

Section: Available Tools and Avatar-based Approaches To Teach Deafmentioning

confidence: 99%

Towards Empowering Hearing Impaired Students' Skills in Computing and Technology

Esam¹,

Abbas²,

Krause³

2017

ijacsa

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Abstract-Studies have shown that deaf and hearing-impaired students have many difficulties in learning applied disciplines such as Medicine, Engineering, and Computer Programming. This study aims to investigate the readiness of deaf students to pursue higher education in applied sciences, more specifically in computer science. This involves investigating their capabilities in computer skills and applications. Computer programming is an integral component in the technological field that can facilitate the development of further scientific advances. Devising a manner of teaching the deaf and hearing-impaired population will give them an opportunity to contribute to the technology sector. This would allow these students to join the scientific world when otherwise; they are generally unable to participate because of the limitations they encounter. The study showed that deaf students in Jeddah are eager to continue their higher education and that a large percentage of these students are keen on studying computer science, particularly if they are provided with the right tools.

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A Concrete Example of Inclusive Design

Bianchini¹,

Borgia²,

Marsico³

2017

The Wiley Handbook of Human Computer Interaction

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One of the continuing challenges of Human Computer Interaction research is the full inclusion of people with special needs into the digital world. In particular, this crucial category includes people that experience some kind of limitation in exploiting traditional information communication channels. One immediately thinks about blind people, and several lines of research aim at addressing their needs. On the contrary, limitations suffered by deaf people are oftenunderestimated. This is often the result of a kind of ignorance or misunderstanding of the real nature of their communication difficulties. This chapter aims at both increasing the awareness of deaf problems in the digital world, and at proposing the project of a comprehensive solution for their better inclusion. As for the former goal, we will provide a birds-eye presentation of history and evolution of understanding of deafness issues, and of strategies to address them. As for the latter, we will present the design, implementation and evaluation of the first nucleus of a comprehensive digital framework to facilitate the access of deaf people into the digital world.

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Assessing the deaf user perspective on sign language avatars

Cited by 78 publications

References 13 publications

Demographic and Experiential Factors Influencing Acceptance of Sign Language Animation by Deaf Users

Demographic and Experiential Factors Influencing Acceptance of Sign Language Animation by Deaf Users

Towards Empowering Hearing Impaired Students' Skills in Computing and Technology

A Concrete Example of Inclusive Design

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