VeasyGuide: Personalized Visual Guidance for Low-vision Learners on Instructor Actions in Presentation Videos
Yotam Sechayk, Ariel Shamir, Amy Pavel, Takeo Igarashi

TL;DR
VeasyGuide is a personalized visual guidance tool that enhances low-vision learners' ability to identify instructor actions in presentation videos by highlighting and magnifying visual cues, reducing cognitive load and search effort.
Contribution
This paper introduces VeasyGuide, a novel system combining motion detection and personalization to improve visual guidance for low-vision learners in educational videos.
Findings
Significant reduction in detection time for instructor actions.
Lowered cognitive load for low-vision learners.
Enhanced engagement for sighted participants.
Abstract
Instructors often rely on visual actions such as pointing, marking, and sketching to convey information in educational presentation videos. These subtle visual cues often lack verbal descriptions, forcing low-vision (LV) learners to search for visual indicators or rely solely on audio, which can lead to missed information and increased cognitive load. To address this challenge, we conducted a co-design study with three LV participants and developed VeasyGuide, a tool that uses motion detection to identify instructor actions and dynamically highlight and magnify them. VeasyGuide produces familiar visual highlights that convey spatial context and adapt to diverse learners and content through extensive personalization and real-time visual feedback. VeasyGuide reduces visual search effort by clarifying what to look for and where to look. In an evaluation with 8 LV participants, learners…
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