Towards Sign Language-Centric Design of ASL Survey Tools

被引：1

作者：

Mahajan, Shruti ^{[1
]}

Walker, Zoey ^{[2
]}

Boll, Rachel ^{[2
]}

Santacreu, Michelle ^{[1
]}

Salvino, Ally ^{[1
]}

Westfort, Michael ^{[2
]}

Reis, Jeanne ^{[2
]}

Solovey, Erin T. ^{[1
]}

机构：

[1] Worcester Polytech Inst, Worcester, MA 01609 USA

[2] ASL Educ Ctr, Framingham, MA USA

来源：

PROCEEDINGS OF THE 2022 CHI CONFERENCE ON HUMAN FACTORS IN COMPUTING SYSTEMS (CHI' 22) | 2022年

基金：

美国国家科学基金会;

关键词：

American Sign Language; ASL; DEAF; EDUCATION; USABILITY;

D O I：

10.1145/3491102.3502047

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Questionnaires are fundamental learning and research tools for gathering insights and information from individuals, and now can be created easily using online tools. However, existing resources for creating questionnaires are designed for written languages (e.g. English) and do not support sign languages (e.g. American Sign Language). Sign languages (SLs) have unique visual characteristics that do not ft into user interface paradigms designed for written, text-based languages. Through a series of formative studies with the ASL signing community, this paper takes steps towards understanding the viability, potential beneft, challenges, and user interest in SL-centric surveys, a novel approach for creating questionnaires that meet the needs of deaf individuals using sign languages, without obligatory reliance on a written language to complete a questionnaire.

引用

页数：16

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