Understanding Differences in Human-Robot Teaming Dynamics between Deaf/Hard of Hearing and Hearing Individuals

Author:

Dust A'di1ORCID,Gonzalez-Lebron Carola2ORCID,Connell Shannon3ORCID,Singh Saurav4ORCID,Bailey Reynold4ORCID,Alm Cecilia Ovesdotter4ORCID,Heard Jamison4ORCID

Affiliation:

1. Macalester College, St. Paul, MN, USA

2. University of Dayton, Dayton, OH, USA

3. National Technical Institute for the Deaf, Rochester, NY, USA

4. Rochester Institute of Technology, Rochester, NY, USA

Funder

National Science Foundation

Publisher

ACM

Reference28 articles.

1. 2021. Manufacturing Statistics - Occupational Hearing Loss. https://www.cdc. gov/niosh/topics/ohl/manufacturing.html 2021. Manufacturing Statistics - Occupational Hearing Loss. https://www.cdc. gov/niosh/topics/ohl/manufacturing.html

2. Development of a Framework for Human–Robot interactions with Indian Sign Language Using Possibility Theory

3. BORIS : a free, versatile open‐source event‐logging software for video/audio coding and live observations

4. Cobots and the benefits of their implementation in intelligent manufacturing

5. Carrie Lou Garberoglio , Jeffrey Levi Palmer , Stephanie W Cawthon, and Adam Sales. 2019 . Deaf people and employment in the United States: 2019. Technical Report. National Deaf Center on Postsecondary Outcomes. Carrie Lou Garberoglio, Jeffrey Levi Palmer, Stephanie W Cawthon, and Adam Sales. 2019. Deaf people and employment in the United States: 2019. Technical Report. National Deaf Center on Postsecondary Outcomes.

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Towards Inclusive Video Commenting: Introducing Signmaku for the Deaf and Hard-of-Hearing;Proceedings of the CHI Conference on Human Factors in Computing Systems;2024-05-11

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