Evaluating Smartwatch-based Sound Feedback for Deaf and Hard-of-hearing Users Across Contexts

Author:

Goodman Steven1,Kirchner Susanne1,Guttman Rose1,Jain Dhruv2,Froehlich Jon1,Findlater Leah1

Affiliation:

1. University of Washington, Seattle, WA, USA

2. University of Washington, Seatte, WA, USA

Funder

National Science Foundation

Publisher

ACM

Reference46 articles.

1. Glanceable Visualization: Studies of Data Comparison Performance on Smartwatches

2. A Personalizable Mobile Sound Detector App Design for Deaf and Hard-of-Hearing Users

3. Using thematic analysis in psychology

4. Yang Chen. 2017. Visualizing Large Time-series Data on Very Small Screens. In EuroVis 2017 - Short Papers. DOI:https://doi.org/10.2312/eurovisshort.20171130 Yang Chen. 2017. Visualizing Large Time-series Data on Very Small Screens. In EuroVis 2017 - Short Papers. DOI:https://doi.org/10.2312/eurovisshort.20171130

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2. “Not There Yet”: Feasibility and Challenges of Mobile Sound Recognition to Support Deaf and Hard-of-Hearing People;The 25th International ACM SIGACCESS Conference on Computers and Accessibility;2023-10-22

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