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March 20 2020: Finished a course on Bioelectronics.įeb 7 2020: One work accepted by CHI LBW.ĭec 13 2019: Finished a course on Neuroengineering. Sept 17 2020: Three works submitted to CHI. Nov 22 2020: My first time attending NAISys. Such an inspiring experience!ĭec 18 2020: Finished a course on Computational Imaging.ĭec 12 2020: Three works accepted by CHI. March 19 2021: Finished a course on Neural Networks and Deep Learning.įeb 13 2021: Attended weSTEM conference. So grateful.Īpril 23 2021: Attended 2021 CRA-WP Grad Cohort for Women. Sept 21 2021: Finished my first industry internship at Microsoft EPIC Research Group. March 28, 2022: Started a course on Neural Signal Processing. Letters that are recognizable by sighted raters.Īpril 7, 2022: Two works submitted to UIST. After initial training and 20-minute daily practice for 5 days, participants were able to write an average of 19.9 out of 26 Handwriting characters in an average of 1.09 minutes for each letter.
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A two-stage study with 15 BLV users with little prior writing knowledge shows that LightWrite can successfully teach users to learn Letters and Arabian digits in a specifically designed font.
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We propose LightWrite, a low-cost, easy-to-access smartphone application that uses voice-based descriptive instruction and feedback to teach BLV users to write English lowercase Although tools designed for teaching BLV to write exist, many are expensive and require the help of
![lightwrite for student lightwrite for student](https://www.instruction.uh.edu/wp-content/uploads/2015/10/SL35_Lightwriter.jpg)
Regardless of the drasticĪdvancement of digital technology, handwriting is still an essential part of daily life. Learning to write is challenging for blind and low vision (BLV) people because of the lack of visual feedback. LightWrite: Teach Handwriting to The Visually Impaired with A Based on our findings, we present Voicemoji as a feasible solution for voice-based emoji entry. Participants from the United States and six BLV participants from China, finding that Voicemoji significantly reduced entry time by 91.2% and was preferred by all participants over the Apple iOS We also conducted a multi-stage evaluation study with six BLV Relevant emojis in response to voice commands, and (2) provides context-sensitive emoji suggestions through speech output. After conducting interviews to understand blind or low vision (BLV) users’ current emoji input experiences, we developed Voicemoji, which (1) outputs In this work, we explore the design and benefits of emoji entry with speech input, a popular text entry methodĪmong people with visual impairments. Screen readers to find their desired emojis, which is a slow and tedious process. Keyboard-based emoji entry can be challenging for people with visual impairments: users have to sequentially navigate emoji lists using Voicemoji: Emoji Entry Using Voice for Visually Impaired People Information seeking (iii) leveraging relative text resources on the web page, such as reviews, to fill in the information gap. Seeking: (i) simplifying and reconstructing the web pages according to users’ current task (ii) providing coordinated experience of active query and passive reading to support flexible Revamp also inspired several exciting future directions in accessible information Rules to extract review snippets, which were used to generate image descriptions and responses to users’ queries. We identified four main aspects (color, logo, shape, and size) that are vital for blind and low vision users to understand the visual appearance of a product and formulated syntactic Inspired by observing how sighted friends help blind people with online shopping, we propose Revamp, a system that leverages customer reviews for interactive information So much of the language we use to describe a product is centered around vision, which poses a barrier to people who don’t experience the Information Seeking Experience of Online Shopping for Blind or Low Vision Users