Improving Spatial Reference in American Sign Language Animation through Data Collection from Native ASL Signers

Huenerfauth, Matt

doi:10.1007/978-3-642-02713-0_56

Cited by 7 publications

(2 citation statements)

References 12 publications

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“…Figure 7 contains sample of the clip-art pictures used for one of those questions. The spatial reference study described above is a subset of a larger study described in [1]. The ASL stories in the spatial reference study were a subset of those shown to participants in the larger study.…”

Section: Participants and Design Of The Spatial Reference Studymentioning

confidence: 99%

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Effect of spatial reference and verb inflection on the usability of sign language animations

Huenerfauth

2011

Univ Access Inf Soc

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Computer-generated animations of American Sign Language (ASL) can improve the accessibility of information, communication, and services for the significant number of deaf adults in the US with difficulty in reading English text. Unfortunately, there are several linguistic aspects of ASL that current automatic generation or translation systems cannot produce (or are time-consuming for human animators to create). To determine how important such phenomena are to user satisfaction and the comprehension of ASL animations, studies were conducted in which native ASL signers evaluated ASL animations with and without: establishment of spatial reference points around the virtual human signer representing entities under discussion, pointing pronoun signs, contrastive role shift, and spatial inflection of ASL verbs. It was found that adding these phenomena to ASL animations led to a significant improvement in user comprehension of the animations, thereby motivating future research on automating the generation of these animations.Keywords American sign language Á Animation Á Evaluation Á Sign language Á Spatial reference Á Verb inflection Á Accessibility technology for people who are deaf Abbreviations ASL American sign language HCI Human-computer interaction MT Machine translation BSL British sign language 1 Motivations and background American Sign Language (ASL) is the primary means of communication for about one-half million deaf people in the US [2]. ASL is a full natural language with a distinct word order, syntax, and lexicon from English-it is not simply a representation of English sentences using the hands. While degree of hearing loss, educational experiences, and family background affect whether someone uses ASL, there are many deaf individuals for whom ASL is their first or preferred language. Although written-English reading is an important part of the curriculum for deaf students in the US, a lack of auditory exposure to English during the language-acquisition years of childhood often leads to lower literacy for many deaf adults. In fact, the majority of deaf high school graduates in the US (age 18 and above) have only a fourth-grade English reading level [3] (fourth-grade US elementary school students are typically age 10).The information above has focused on ASL and the US, and it is important to note that sign languages are not universal internationally. Different countries have unique sign languages, with grammars and vocabularies that are distinct from each other. The sign language in a particular country is also typically independent from the local spoken/written language of that country; the sign language often has a distinct grammar and vocabulary from the

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Section: Participants and Design Of The Spatial Reference Studymentioning

confidence: 99%

“…The data presented in Sect. 2.3 of this article were collected during a study that was first described in a presentation at the Universal Access in Human Computer Interaction conference [1]. This article presents a novel analysis of a subset of the data from this earlier study-focusing on contrastive role shift in American Sign Language (ASL) animations.…”

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confidence: 99%

Effect of spatial reference and verb inflection on the usability of sign language animations

Huenerfauth

2011

Univ Access Inf Soc

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Hand Location Classification from 3D Signing Virtual Avatars Using Neural Networks

Jaballah

Jemni

2014

Lecture Notes in Computer Science

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Collecting an American Sign Language Corpus through the Participation of Native Signers

Huenerfauth

2011

Lecture Notes in Computer Science

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Improving Spatial Reference in American Sign Language Animation through Data Collection from Native ASL Signers

Cited by 7 publications

References 12 publications

Effect of spatial reference and verb inflection on the usability of sign language animations

Effect of spatial reference and verb inflection on the usability of sign language animations

Hand Location Classification from 3D Signing Virtual Avatars Using Neural Networks

Collecting an American Sign Language Corpus through the Participation of Native Signers

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