Find Your ASMR: A Perceptual Retrieval Interface for Autonomous Sensory Meridian Response Videos
May 28, 2022 Β· Declared Dead Β· π InteracciΓ³n
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Authors
Qi Zhou, Jiahao Weng, Haoran Xie
arXiv ID
2205.14409
Category
cs.HC: Human-Computer Interaction
Citations
0
Venue
InteracciΓ³n
Last Checked
5 months ago
Abstract
Autonomous sensory meridian response (ASMR) is a type of video contents designed to help people relax and feel comfortable. Users usually retrieve ASMR contents from various video websites using only keywords. However, it is challenging to examine satisfactory contents to reflect users' needs for ASMR videos using keywords or content-based retrieval. To solve this issue, we propose a perceptual video retrieval system for ASMR videos and provide a novel retrieval user interface that allows users to retrieve content according to watching purpose and anticipated expectations, such as excitement, calmness, stress and sadness. An ASMR video perception dataset is constructed with annotations on affective responses after watching the videos. To verify the proposed video retrieval system, a user study is conducted showing that users can retrieve satisfactory ASMR contents easily and efficiently compared to conventional keywords-based retrieval systems.
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