12 citations · 30 across the 17 of their papers we have counts for
5 papers · 1 filter
DescribePro: Collaborative Audio Description with Human-AI Interaction
Maryam Cheema, Sina Elahimanesh, Samuel Martin +2
Audio description (AD) makes video content accessible to millions of blind and low vision (BLV) users. However, creating high-quality AD involves a trade-off between the precision…
ChartQA-X: Generating Explanations for Visual Chart Reasoning
Shamanthak Hegde, Pooyan Fazli, Hasti Seifi
The ability to explain complex information from chart images is vital for effective data-driven decision-making. In this work, we address the challenge of generating detailed expla…
Text Entry for XR Trove (TEXT): Collecting and Analyzing Techniques for Text Input in XR
Arpit Bhatia, Moaaz Hudhud Mughrabi, Diar Abdlkarim +4
Text entry for extended reality (XR) is far from perfect, and a variety of text entry techniques (TETs) have been proposed to fit various contexts of use. However, comparing betwee…
VideoA11y: Method and Dataset for Accessible Video Description
Chaoyu Li, Sid Padmanabhuni, Maryam Cheema +2
Video descriptions are crucial for blind and low vision (BLV) users to access visual content. However, current artificial intelligence models for generating descriptions often fall…
Can a Machine Feel Vibrations?: A Framework for Vibrotactile Sensation and Emotion Prediction via a Neural Network
Chungman Lim, Gyeongdeok Kim, Su-Yeon Kang +2
Vibrotactile signals offer new possibilities for conveying sensations and emotions in various applications. Yet, designing vibrotactile tactile icons (i.e., Tactons) to evoke speci…