Scholarlink

In this work, we focus on assisting users in finding information that may have been unintentionally overlooked. Our system supports not only experienced users but also newcomers to Video Browser Showdown systems, enabling them to search for information more quickly and accurately. During the querying process, users might unintentionally miss important images, including those they are specifically looking for. By leveraging eye-tracking technology, our system records the user’s gaze duration on each image and optimises the presentation of potentially relevant images, which should lead to better performance when using interactive systems under time-pressure.

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

VEAGLE: Eye Gaze-Assisted Guidance for Video Browser Showdown

  • 会议论文

  • 发表日期：

    2025年

查看全文
  • Thang-Long Nguyen-Ho,
  • Viet-Tham Huynh,
  • Onanong Kongmeesub,
  • Minh-Triet Tran,
  • Dongyun Nie,
  • Graham Healy,
  • Cathal Gurrin

摘要

In this work, we focus on assisting users in finding information that may have been unintentionally overlooked. Our system supports not only experienced users but also newcomers to Video Browser Showdown systems, enabling them to search for information more quickly and accurately. During the querying process, users might unintentionally miss important images, including those they are specifically looking for. By leveraging eye-tracking technology, our system records the user’s gaze duration on each image and optimises the presentation of potentially relevant images, which should lead to better performance when using interactive systems under time-pressure.