تقرير
Assessment of Sign Language-Based versus Touch-Based Input for Deaf Users Interacting with Intelligent Personal Assistants
| العنوان: | Assessment of Sign Language-Based versus Touch-Based Input for Deaf Users Interacting with Intelligent Personal Assistants |
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| المؤلفون: | Tran, Nina, DeVries, Paige, Seita, Matthew, Kushalnagar, Raja, Glasser, Abraham, Vogler, Christian |
| سنة النشر: | 2024 |
| المجموعة: | Computer Science |
| مصطلحات موضوعية: | Computer Science - Human-Computer Interaction |
| الوصف: | With the recent advancements in intelligent personal assistants (IPAs), their popularity is rapidly increasing when it comes to utilizing Automatic Speech Recognition within households. In this study, we used a Wizard-of-Oz methodology to evaluate and compare the usability of American Sign Language (ASL), Tap to Alexa, and smart home apps among 23 deaf participants within a limited-domain smart home environment. Results indicate a slight usability preference for ASL. Linguistic analysis of the participants' signing reveals a diverse range of expressions and vocabulary as they interacted with IPAs in the context of a restricted-domain application. On average, deaf participants exhibited a vocabulary of 47 +/- 17 signs with an additional 10 +/- 7 fingerspelled words, for a total of 246 different signs and 93 different fingerspelled words across all participants. We discuss the implications for the design of limited-vocabulary applications as a stepping-stone toward general-purpose ASL recognition in the future. Comment: To appear in Proceedings of the Conference on Human Factors in Computing Systems CHI 24, May 11-16, Honolulu, HI, USA, 15 pages. https://doi.org/10.1145/3613904.3642094 |
| نوع الوثيقة: | Working Paper |
| DOI: | 10.1145/3613904.3642094 |
| URL الوصول: | http://arxiv.org/abs/2404.14605 |
| رقم الأكسشن: | edsarx.2404.14605 |
| قاعدة البيانات: | arXiv |
| DOI: | 10.1145/3613904.3642094 |
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